WO2010122293A1 - Lipid bilayer sensor array - Google Patents
Lipid bilayer sensor array Download PDFInfo
- Publication number
- WO2010122293A1 WO2010122293A1 PCT/GB2010/000789 GB2010000789W WO2010122293A1 WO 2010122293 A1 WO2010122293 A1 WO 2010122293A1 GB 2010000789 W GB2010000789 W GB 2010000789W WO 2010122293 A1 WO2010122293 A1 WO 2010122293A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- sensor elements
- detection channels
- performance
- detection
- lipid bilayer
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/483—Physical analysis of biological material
- G01N33/487—Physical analysis of biological material of liquid biological material
- G01N33/48707—Physical analysis of biological material of liquid biological material by electrical means
- G01N33/48728—Investigating individual cells, e.g. by patch clamp, voltage clamp
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N27/00—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means
- G01N27/26—Investigating or analysing materials by the use of electric, electrochemical, or magnetic means by investigating electrochemical variables; by using electrolysis or electrophoresis
- G01N27/28—Electrolytic cell components
- G01N27/30—Electrodes, e.g. test electrodes; Half-cells
- G01N27/327—Biochemical electrodes, e.g. electrical or mechanical details for in vitro measurements
- G01N27/3271—Amperometric enzyme electrodes for analytes in body fluids, e.g. glucose in blood
- G01N27/3272—Test elements therefor, i.e. disposable laminated substrates with electrodes, reagent and channels
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay; Materials therefor
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/48—Biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/92—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving lipids, e.g. cholesterol, lipoproteins, or their receptors
Definitions
- the present invention relates to the detection of physical phenomena using sensor elements. Some aspects of the invention have particular application to the detection of stochastic physical events, such as events which involve the interaction of a molecular entity, for example with a membrane protein inserted in a lipid bilayer.
- membrane proteins inserted in a lipid bilayer To perform the sensing of molecular entities, it has been disclosed to use membrane proteins inserted in a lipid bilayer.
- the interaction of the molecular entity with the membrane protein is capable of modulating an electrical signal appearing across the lipid bilayer, for example modulating an ionic current flowing through a membrane protein that is a protein pore. Accordingly, by monitoring an electrical signal appearing across the lipid bilayer to detect changes characteristic of the modulation, it is possible to sense interactions of a molecular entity with the membrane protein.
- a variety of technologies have been proposed based on this principle, one example being disclosed in WO-2008/102120.
- Sensing of molecular entities using this technique provides a method of identifying single molecules and molecular entities directly, without the need for fluorescent labelling and detection.
- sequencing of DNA or other nucleic acids such as sequencing of DNA or other nucleic acids; sensing of chemical or biological molecules for security and defence; detection of biological markers for diagnostics; ion channel screening for drug development; and label-free analysis of interactions between biological molecules.
- a particular constraint is that the electrical signals concerned are very small in magnitude and occur over a very short time, because the interactions involve a single molecular entity.
- a detection circuit that has sufficient sensitivity to amplify an electrical signal from each one of the sensor elements with sufficient time resolution to allow detection of the interaction.
- Such a detection circuit will typically require a separate detection channel for each sensor element where an interaction is sensed.
- a method of sensing a physical phenomenon comprising: providing a sensor device comprising an array of sensor elements including respective electrodes, each sensor element being arranged to output an electrical signal at the electrode that is dependent on a physical phenomenon with a quality of performance that is variable; providing a detection circuit comprising a plurality of detection channels each capable of amplifying an electrical signal from one of the sensor elements, the number of sensor elements in the array being greater than the number of detection channels; providing a switch arrangement capable of selectively connecting the detection channels to respective sensor elements; controlling the switching arrangement to selectively connect the detection channels to respective sensor elements that have acceptable quality of performance on the basis of the amplified electrical signals that are output from the detection channels.
- an apparatus for sensing of a physical phenomenon comprising: a sensor device comprising an array of sensor elements including respective electrodes, each sensor element being arranged to output an electrical signal at the electrode that is dependant on a physical phenomenon, the sensor elements having variable quality of performance ; a detection circuit comprising a plurality of detection channels each capable of amplifying an electrical signal from one of the sensor elements, the number of sensor elements in the array being greater than the number of detection channels; a switch arrangement capable of selectively connecting the detection channels to respective sensor elements. a switching controller arranged to control the switching of the switch arrangement to selectively connect the detection channels to respective sensor elements that have acceptable quality of performance on the basis of the amplified electrical signals that are output from the detection channels.
- the present invention is based on an appreciation that sensor elements for the detection of certain physical phenomena have variable quality of performance.
- sensor elements for the detection of certain physical phenomena have variable quality of performance.
- individual sensor elements might have different quality of performance in the formation of a lipid bilayer or in the number of membrane proteins that insert. This may result in the quality of performance varying in that certain sensor elements are unable to detect the physical event at all or in different sensor elements outputting a signal of differing quality.
- the present invention takes advantage of this appreciation by using an array of sensor elements in which the number of sensor elements is greater than the number of detection channels used to amplify the electrical signal.
- the present invention provides an increase in the efficiency of using the detection channels because the detection channels are selectively connected to sensor elements that do have acceptable quality of performance.
- the peak efficiency can be improved from 36% to over 80%, making much better use of the detection channels.
- the detection channels 30 are typically significantly more expensive to produce than the sensor elements.
- the sensor device 2 may be sufficiently cheap to be disposable. Accordingly, to achieve a given number of effective detection channels 30, the increase in the efficiency of utilisation of the detection channels leads to a corresponding reduction in the cost of the apparatus as a whole because less detection channels need to be provided.
- the same quality of performance of achieving 205 effective detection channels could be achieved from a detection circuit having 256 detection channels working at 80% efficiency as from a detection circuit having 569 detection channels working at 36% efficiency.
- An additional advantage of the present invention is that the redundancy provides a greater degree of tolerance to variations in efficiency of the sensor elements and thereby maintains a more uniform overall efficiency. Similarly, it is also potentially more tolerant of sensor elements whose quality of performance ceases to be acceptable during operation. A sensor whose quality of performance degrades may in fact become damaging to the correct functioning of the sensor array, and may affect not only the detection channel to which it is connected but also other channels. Accordingly, the ability to de-select the sensor, or to isolate it, may be extremely beneficial to the continuing operation of the whole sensor array as well as potentially restoring useful signals to the detection channel in question.
- the switch arrangement and switching controller are similar to those employed in known sensor apparatuses employing time division multiplexing (TDM) in the connection of detection channels to sensor elements, for example in an image sensor.
- TDM time division multiplexing
- an individual detection channel is connected to successive ones of a group of sensor elements in order to output an amplified output signal from every sensor element of the group in turn.
- the aim of TDM is to output signals from all sensor elements of an array with a limited number of detection channels.
- TDM is reliant on the output signals of interest from an individual sensor element having a low bandwidth relative to the TDM period so that features of the output signal occurring when an individual sensor element is not connected to a detection channel are not missed.
- TDM is frequently applied to sensor elements that integrate a signal over the TDM period.
- the present invention involves the redundant provision of sensor elements whose quality of performance varies. Only one sensor element, selected from a redundant group to r have an acceptable quality of performance, is connected to each detection channel. An intrinsic part of the technique to obtain the benefit of increased efficiency is that the output signals of other sensor elements that are not connected to a detection channel is lost.
- the present invention is applicable to the detection of stochastic physical events that occur in a time period that is shorter than the average period for which a detection channel is connected to a sensor element.
- the invention has particular application to the sensing of a stochastic physical event, such as an interaction of a molecular entity, for example with a membrane protein in a lipid bilayer.
- a stochastic physical event such as an interaction of a molecular entity, for example with a membrane protein in a lipid bilayer.
- the sensor elements have variable quality of performance that may or may not be acceptable.
- the quality of performance may vary in whether a lipid bilyaer forms and in the number of effective membrane proteins that insert.
- the strict requirements on the sensitivity and time-resolution of the detection channel mean that the advantages of the invention are particularly strong.
- the invention also has particular application to sensing using sensor elements which each comprise a respective well formed in a substrate and within which are arranged the respective electrodes.
- the present invention is generally applicable to sensing of any type of physical phenomenon by an array of sensor elements arranged to output an electrical signal at the electrode that is dependant on a physical phenomenon, where the sensor elements have variable quality of performance.
- the term "physical" is used to indicate physical phenomena of any type, including phenomena in the fields of chemistry and biochemistry. Indeed the present invention has particular application in these fields.
- the sensor element may comprise an ion channel, such as a solid state or biological ion channel.
- it is a biological ion channel, such as a membrane protein ion channel, for example hemolysin.
- Biological ion channels will typically be present in a membrane. Generally the membrane will not be that in which the ion channel occurs naturally.
- the membrane may be a solid state membrane or a biological membrane.
- Biological membranes include lipid bilayers, which may be anchored to a support structure.
- Solid state membranes encompass both organic and inorganic materials, for example microelectronic materials, insulating materials such as Si 3 N 4 , Al 2 O 3 and SiO, organic and inorganic polymers such as polyamide, plastics such as Teflon (TM) or elastomers such as two-component addition-cure silicone rubber and glasses.
- a solid state membrane may be a layer, such as a film or a coating on a support.
- the sensor element may additionally comprise a molecular motor, such as an enzyme, which interacts with the molecular entity before during or after the interaction.
- a molecular motor include DNA polymerase, RNA polymerase, exonuclease, helicase, phage motor protein, reverse transcriptase, DNA translocase.
- Fig.l is a schematic diagram of an apparatus for sensing interactions of a molecular entities with membrane proteins inserted in lipid bilayers
- Fig. 2 is a cross-sectional view of part of the sensor device of the apparatus
- Fig. 3 is a diagram of the detection circuit of the apparatus
- Fig. 4 is a graph of the efficiency of usage of detection channels against the average number of membrane proteins inserted per well for different levels of redundancy in the number of wells
- Fig. 5 is a graph the gain in efficiency relative to there being no redundancy against average number of membrane proteins inserted per well for different levels of redundancy
- Fig. 6 is a diagram of a modified form of the detection circuit
- Fig. 7 is a schematic diagram of the switching arrangement of the detection circuit.
- Fig. 8 is a schematic diagram of an alternative form of the switching arrangement of the detection circuit.
- the apparatus 1 comprises a sensor device 2 connected to a detection circuit 3 which is in turn detected to a data processor 4.
- the sensor device 2 is an apparatus as described in detail in International Patent
- the sensor device 2 has a construction as shown in cross- section in Fig. 2 comprising a body 20 in which there is formed a plurality of wells 21 each being a recess having a well electrode 22 arranged therein.
- a large number of wells 21 is provided to optimise the data collection rate of the apparatus 1.
- there may be any number of wells 21 typically 256 or 1024, although only a few of the wells 21 are shown in Fig. 2.
- the body 20 is covered by a cover 23 that extends over the body 20 and is hollow to define a chamber 24 into which each of the wells 21 opens.
- a common electrode 25 is disposed within the chamber 23.
- the sensor device 2 is prepared to form a lipid bilayer 26 or layer of other amphiphilic molecules across each well 21 and to insert membrane proteins into the lipid bilayer 26.
- This preparation is achieved using the techniques and materials described in detail in International Patent Application No. PCT/GB08/004127, but may be summarised as follows.
- Aqueous solution is introduced into the chamber 24 to form the lipid bilayer 26 across each well 21 separating aqueous solution in the well 21 from the remaining volume of aqueous solution in the chamber 24.
- Membrane proteins are provided into the aqueous solution, for example by being introduced into the aqueous solution before or after that is introduced into the chamber 24 or by being deposited on an internal surface of the chamber 24.
- the membrane proteins spontaneously insert from the aqueous solution into the lipid bilayers 26. Such spontaneous insertion is a dynamic process and so there is a statistical variation in the number of membrane proteins inserted into individual lipid bilayers, typically having a Poisson distribution.
- the well 21 is capable of being used as a sensor element to sense interactions between molecular entities and the membrane protein that are stochastic physical events because the output electrical signal across the lipid bilayer 26 is dependent on those interactions in that the interactions cause characteristic changes therein.
- the membrane protein is a protein pore
- the molecular entity may be a molecule or part of a molecule, for example a DNA base. Such interactions are very brief, requiring a high time resolution and continuous monitoring if it is desired to detect each interaction.
- the quality of performance of the wells 21 as sensor elements is variable.
- the lipid bilayer might not form meaning the well 21 has no performance; although in practice high efficiency of formation is achievable. More significantly, the variation in the number of effective membrane proteins inserting into the lipid bilayer affects the quality of performance. Clearly if no membrane protein inserts the well 21 has no performance.
- the quality of performance may also be variable with the number of effective membrane proteins inserting. Sometimes there may insert a membrane protein that is not effective for the desired stochastic sensing, for example because it is denatured. In general the number of effective membrane proteins that are acceptable depends on the type of stochastic sensing being performed. In the example below, acceptable quality of performance is the insertion of a single effective membrane protein, with plural membrane proteins being unacceptable. In other situations, insertion of plural effective membrane proteins may be acceptable.
- the detection circuit 3 is arranged as shown in Fig. 3 wherein the sensor device 2 is shown schematically.
- the wells 21 are divided into groups.
- the group consists of four wells 21 , but the groups may in general consist of any plural number of wells 21.
- the detection circuit 3 has a detection channel 30 associated with each group of wells 21.
- Fig. 3 shows a single group of wells 21 and a single detection channel 30 for clarity, but typically there are plural groups of wells 21 each with an associated detection channel 30 arranged as shown in Fig. 3.
- the sensor device 2 might comprise a total of 4096 wells 21 and 1024 detection channels 30.
- the apparatus 1 further includes a switch arrangement 31 which is capable of selectively connecting the detection channel 30 to any one of the wells 21 in the group.
- the switch arrangement 31 is a l-to-4 multiplexor (in general a 1-to-N multiplexor where N is the number of wells 21 in the group), comprising four switches 32 each connected between the well electrode 22 one of the wells 21 and a common contact 33 which is itself connected to the input of the detection channel 30.
- the switches 32 may in principle be any type of analog switch, but are preferably semiconductor switches, for example formed by transistors, preferably field effect transistors.
- the switches 32 are selected to provide minimal leakage to the detection channel 30 either from the wells 21 that are not connected through switches 32 that are open or from the latch 34 through the switches 32. Dynamic charge injection effects are avoided by running the apparatus 1 with the switches in a static configuration for most of the time.
- the state of the switch arrangement 31 is controlled by data stored in a digital latch 34 controlled by decoder logic 35 which controls the latch 34 in accordance with a control signal received by the decoder logic 35 so that any one single switch 32 is closed at a time, thereby connecting the corresponding well 21 to the detection channel 30.
- the decoder logic 35 allows the switch arrangement 31 in respect of each group of wells 21 to be switched without affecting the state of the switch arrangement 31 in respect of any other group.
- the wells 21 are biassed with respect to the input of the detection channel 30 by a bias supply 36 connected to the common electrode 35.
- the bias voltage is up to -200 mV.
- Any well 21 which is not actively connected to the detection channel 30 is allowed to float to the potential of the common electrode 25 via the fluid in the well 21 and will therefore pass no current. This eliminates the potential for amplifier saturation by wells 21 which have no bilayer 26.
- the decoder logic 35 may also control the latch 34 to provide a state in which all of the switches 32 open, thus allowing all the wells 21 in the group to float. In this state, the detection channel 30 has no input current, and none of the wells 21 passes any current either.
- the detection circuit 3 is implemented in a semiconductor chip provided separately from the sensor device 2.
- the detection circuit 3 may be arranged as follows to supply a calibration current of known magnitude, equivalent to the current passed by a working well 21, typically of magnitude -5OpA to -10OpA, to the detection channel 30 for testing purposes so that the functionality of the detection circuit 3 can be assured prior to the introduction of any chemistry.
- the detection circuit 3 includes a calibration source 37 that is operable to supply the calibration current and a further switch 38 connected between the calibration source 37 and the common contact 33.
- the further switch 38 is controlled by the latch 34 and the decoder logic 35 in the same manner as the switch arrangement 31 to allow connection of the calibration source 37 to the detection channel 30, instead of any of the wells 21.
- Each detection channel 30 is arranged as follows to amplify the electrical signals from a well 21 that is connected thereto by the switch arrangement 31.
- the detection channel 30 is therefore designed to amplify very small currents with sufficient resolution to detect the characteristic changes caused by the interaction of interest.
- the detection channel 30 is also designed with a sufficiently high bandwidth to provide the time resolution needed to detect each such interaction.
- the detection channel 30 includes a charge amplifier 40 that is a differential amplifier having: an inverting input which constitutes the input of the detection channel 30 and is connected to the common contact 33; and a non-inverting input that is connected to an internal reference source 41.
- the bias source 36 is connected between the common electrode 25 of the sensor device 2 and the non-inverting input of the charge amplifier 40 to apply the bias voltage therebetween.
- the charge amplifier 40 is arranged as an integrating amplifier by means of a capacitor 42 being connected between the inverting input of the charge amplifier 40 and the output of the charge amplifier 40.
- a control switch 43 is connected in parallel with the capacitor 42 to control the integration performed by the charge amplifier 40.
- the charge amplifier 40 integrates the current supplied thereto from the well 21 to provide an output representative of the charge supplied in each integration period, the integration period being of fixed duration so that they are representative of current, that duration being short enough to provide sufficient resolution for monitoring of events occurring in the well 21 connected thereto.
- the output of the charge amplifier 40 is connected to two sample-hold amplifiers 44 arranged in parallel and optionally provided with voltage gain.
- the sample-hold amplifiers 44 are operated to provide correlated double-sampling by each being switched synchronously with the control switch 43 to sample and hold the output of the integrating charge amplifier 40 at the start and end of each integration period.
- the useful signal is derived by taking differences between the two outputs of the sample-hold amplifiers 44.
- the sampling rate is sufficiently high to time resolve the output signals.
- the amplified signal output by the sample-hold amplifiers 44 are supplied to a multiplexor 45 which multiplexes the amplified signals output by all the detection channels 30 and supplies them to the data processor 4.
- the multiplexor 45 may be a shift register connected to the data processor 4 through an A/D converter 46, but in general the multiplexor 45 could take any suitable form, including being a digital device with A/D conversion occurring between the sample-hold amplifiers 44 and the multiplexor 45.
- each detection channel 30 may be provided with two charge amplifiers arranged in parallel and used alternately to provide greater efficiency by each charge amplifier being reset whilst the other charge amplifier is performing integration.
- the input to the charge amplifier 40 is designed to remain at a constant bias potential even when presented with a negative current (of similar magnitude to the normal current, typically of magnitude -5OpA to -10OpA).
- the data processor 4 receives and processes the signals from each detection channel 30 output from the detection circuit 30.
- the data processor 4 stores and processes the amplified signals.
- the data processor 4 also controls the operation of the detection circuit 3 and acts as a switching controller for the switch arrangement 31 by supplying the control signal to the decoder circuit 35.
- the data processor 4 may be a microprocessor running an appropriate program or may include dedicated hardware.
- the data processor 4 may comprise a card to be plugged into a computer such as a desktop or laptop. Such a computer may include graphics tools for displaying the amplified signals to the user, and may also provide analysis of the amplified signals depending on the interaction of interest.
- the data processor 4 monitors the amplified signals 40 output by each detection channel 30 and controls the switch arrangement 31 on the basis thereof.
- the data processor 4 controls the switch arrangement 31 to connect the detection channel 30 to one of the wells 21 which has acceptable quality of performance, i.e. in this example meaning that there a lipid bilayer 26 is formed across the lipid bilayer with a single membrane protein inserted therein.
- the data processor 4 performs a sensor selection process after the sensor device 2 has been prepared by the user, as described above. In this sensor selection process, the switch arrangement 31 is controlled to connect the detection channel 30 successively to each of the wells 21, in respect of each group.
- the amplified signal is monitored to determine in respect of each well 21 whether a lipid bilayer is formed and the number of membrane proteins inserted. This may be achieved by analysing the amplified signals to detect signals that are characteristic of the physical state of the well 21 , for example using the analysis techniques disclosed in WO 2008/102120 (International
- a well 21 having acceptable quality of performance is thereby detected on the basis of the amplified signals.
- each well 21 in a group may be tested or the process may stop as soon as a well 21 having acceptable quality of performance is detected.
- the switch arrangement 31 is subsequently switched to connect the detection channel 30 to a well 21 having acceptable quality of performance. Thereafter the amplified signal from the well 21 is monitored to allow sensing of events in that well 21.
- each of the detection channels 30 is connected to a well 21 by the switch arrangement 31. However, if no well 21 has acceptable quality of performance, then the switch arrangement 31 may be subsequently switched to disconnect the detection channel 30 from all the wells 21 in the group. In that case, the sensor selection process may be repeated after a predetermined period of time to detect whether the quality of performance of a well 21 has become acceptable subsequently.
- the detection channels 30 are connected to a well 21 by the switch arrangement 31 continuously, that is without scanning the detection channels 30 across plural wells 21. This is because of the need to sense events in a well 21 that do not persist. This contrasts with a CMOS light sensor wherein incident light is integrated in sensor elements and amplifiers are successively connected to scanned lines of sensor elements.
- the amplified signal is monitored to detect whether the quality of performance of any given well 21 ceases to be acceptable, for example by a second membrane protein becoming inserted into the lipid bilayer 26 or by an inserted membrane protein separating from the lipid bilayer 26.
- the switch arrangement 31 is subsequently switched to connect the detection channel 30 to a different well 21 that has acceptable quality of performance.
- the different well 21 may a well 21 previously determined to have acceptable quality of performance or may be selected anew by performing a sensor selection process again.
- the detection channel 30 will then continue to supply useful data, and the efficiency of the apparatus 1 will be restored.
- the quality of performance of wells 21 becoming unacceptable is relatively rare.
- the quality of performance of the well 21 will remain acceptable for a period sufficient to sense many occurrences of the interaction of interest between the membrane protein and a molecular entity. Accordingly, the average period for which a detection channel 30 is connected to a sensor element is much greater than the time period needed to sense individual events.
- the redundancy in the number of wells 21 as compared to the number of detection channels 30 increases the efficiency with which the detection channels 30 are used, as follows.
- the insertion of membrane proteins into a lipid bilayer 26 is a random process that follows Poisson statistics. This means that even when the average number of membrane proteins per well 21 is one, a significant number of wells 21 may have none, two or more membrane proteins inserted, and these wells 21 are then not useful. For example, it is found that in a particular embodiment the maximum probability for finding just one membrane protein in a well 21 is about 36%, and this is only achieved if conditions are optimal. A greater or lesser membrane protein concentration quickly results in a reduction of useable wells 21 (especially a lesser exposure).
- Lipid bilayers 26 are formed with an efficiency which may be assumed to approach 100% for current purposes. Membrane proteins are then inserted using a solution whose concentration and exposure time is adjusted to give a mean number of membrane proteins per well 21 near to one. Because the wells 21 might not in practice have a lipid bilayer 26 of the same size, their capture efficiencies will vary. This combines with Poisson statistics to give a spread in the number of membrane proteins per well 21.
- the apparatus 1 characterises the sensor device 2 to detect which wells 21 have active, useful membrane proteins.
- the probability Pl of inserting just one membrane protein into a given well 21 follows a Poisson distribution with a defined mean value which depends upon the area of the lipid bilayer 26, the concentration of membrane proteins in solution and the time for which the lipid bilayers 26 are exposed to the membrane protein solution.
- the efficiency where each detection channel 30 can access N wells 21 is given by the probability that at least one of the N wells 21 has exactly one membrane protein inserted. If more than one of the N wells 21 has one membrane protein inserted, the apparatus 1 will not be able to gather extra data.
- the probability that all of the N wells have other than one membrane protein inserted is simply QN.
- the probability that at least one well 21 has a single membrane protein inserted is therefore (1 - QN). Based on these probabilities, a simulation has been created to show how the overall efficiency (i.e. proportion of detection channels having a well 21 with acceptable quality of performance ) for changes with the average number of membrane proteins per well 21 for different levels of redundancy in the number of wells 21, starting with one well 21 per detection channel 30 (i.e. no redundancy) and rising to 8 wells 21 per channel. The results are shown in Fig. 1 which shows the channel efficiency and Fig. 2 which shows the efficiency gain as compared to there being no redundancy.
- an apparatus 1 having 512 detection channels 30 with a 2048 wells 21 (four-fold redundancy) is expected to deliver up to 408 wells 21 having acceptable quality of performance under optimum conditions, leaving only about 20% of the amplifier channels inactive.
- This quality of performance can be contrasted with that expected without redundancy where an apparatus having 1024 detection channels 30 with 1024 wells 21 is expected to deliver only 368 wells 21 having acceptable quality of performance under optimum conditions, this requiring twice as many detection channels 30 for worse quality of performance.
- the above embodiment uses a switch arrangement 31 which selectively connects each detection channel 30 to a given group of N wells 21 , for example a 1-to-N multiplexor.
- a switch arrangement 31 which selectively connects each detection channel 30 to a given group of N wells 21 , for example a 1-to-N multiplexor.
- the switching arrangement 31 comprises a switch 32 connected between each well electrode 22 and a common contact 33 in respect of that group to which the well 21 belongs.
- a switch arrangement 31 which selectively connects any of the wells 21 to any of the detection channels 30 to any of the wells 21, for example a cross-bar switch.
- Fig. 8 for the example of eight wells 21 arranged for connection to two detection channels 30.
- the switching arrangement 31 comprises a switch 32 connected between each well electrode 22 and each common contact 33. This would further improve the efficiency gain for a given degree of redundancy.
- the number of wells 21 exceeds the number of detection channels 30 by a factor which reflects the expected probability of experiencing a well 21 that works, and in principle if this factor is sufficiently high then it is possible to approach 100% efficiency.
- this approach is at the cost of a significant increase in complexity, especially as the number of wells 21 and detection channels 30 increases, as the number of switches 32 required is the product of the number of wells 21 and the number of detection channels 30.
- a key point is that the number of detection channels 30 needed to obtain results from a given number of wells 21 required for any given application is reduced.
- the detection channels 30 are much more complex and expensive to produce than the wells 21 because the detection channels 30 include sensitive electronics whereas the wells 21 are simply recesses formed by a common process. Similarly, fewer connections would be required between the sensor device 2 and the detection circuit 3.
- the reduction in the number of detection channels 30 reduces the cost of the apparatus 1 as a whole, as well as improving reliability and production yield.
- the size of the detection circuit 3 is also reduced.
- the raw data volume transferred from the detection circuit 3 to the data processor 4 is reduced.
- the increase in the efficiency of the usage of the sensor elements means that a greater proportion of the available interactions are detected by the detection circuit. So increasing the number of interactions is important in applications where it is needed to obtain a large amount of data.
- Fig. 6 Components common with the detection circuit 3 shown in Fig. 3 are given common reference numerals and for brevity a description thereof is not repeated.
- unblocking the membrane proteins which are protein pores may be achieved by inverting the reverse bias applied to the common electrode 25. This is effective, but it has the unfortunate side effect of causing temporary data loss on the entire sensor device 2.
- the modified form of the detection circuit 30 shown in Fig. 6 provides the functionality of applying an inverted potential across selected sensor wells 21 without affecting other wells 21.
- the common electrode 25 is maintained at a voltage Vb provided by the bias source 36 above the internal reference voltage Vr provided by the internal reference source 41 so that any well 21 which is connected to the detection channel 30 experiences the required forward bias.
- the switch arrangement 31 allows any or all of the well electrodes 25 to be isolated from the input to the detection channel 30 which allows the well potential to float.
- the detection circuit 30 additionally includes an unblocking bias source 47 and a further switch arrangement 48 comprising four switches 49 and having the same construction as the switch arrangement 31 for selectively connecting the output of the unblocking bias source 47 to the well electrode 22 of any one of the wells 21.
- the further switch arrangement 48 is controlled by the latch 34 and decoder logic 35.
- the unblocking bias source 47 provides a bias voltage Vu sufficient to unblock a protein pore. To ensure reliable unblocking, this is typically a reverse bias, although that is not in principle essential.
- the data processor 4 whilst monitoring the amplified signals, detects that a protein pore has become blocked, then the data processor controls the switch arrangement 31 to open the switch 32 connected to the blocked protein pore and controls the further switch arrangement 48 to close the switch 49 connected to the well 21 having the blocked protein pore. This places the well electrode 22 of the well 21 concerned under reverse bias, thereby unblocking the protein pore. After a sufficient period to allow such unblocking, the switch 49 is opened to disconnect the reverse bias and the switch 32 is closed to re-connect the detection channel 30 to the well 21 concerned.
- the apparatus 1 described above is designed to sense a physical phenomenon which is an interaction of a molecular entity with a membrane protein in a lipid bilayer 26.
- the advantages achieved thereby are equally applicable to sensing other physical phenomenon where the quality of performance of the sensor elements is variable.
- similar advantages are achieved in an apparatus for sensing of other types of interaction of a molecular entity, and/or other types of physical event, by an array of sensor elements arranged to sense occurrences of the physical event by outputting an electrical signal at an electrode that is dependent on those occurrences, where the quality of performance of the sensor element is variable.
- Similar advantages are achieved in an apparatus for sensing using sensor elements which each comprise a respective well formed in a substrate and within which are arranged the respective electrodes.
- the quality of performance of a well 21 acting as a sensor element is determined to be acceptable or not on the basis of whether or not a single effective membrane protein is inserted in a lipid bilayer across the well 21.
- measures of quality of performance are appropriate for other types of sensing.
- the measure of quality of performance will be a simple decision of whether the sensor element is working or not, as in the above example, but in other situations, it may be a quantitative measure of the quality of the output signal, for example the gain or noise associated with a sensor element.
- the quality of the output signal may be dependant on the number of membrane proteins inserted (where plural membrane proteins are desirable), on the noise which can vary with several parameters such as the area of the lipid bilayer, or the electrode performance, or on the drift which can vary with parameters such as the electrode performance.
Landscapes
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Biomedical Technology (AREA)
- Immunology (AREA)
- Molecular Biology (AREA)
- Hematology (AREA)
- Physics & Mathematics (AREA)
- Urology & Nephrology (AREA)
- Analytical Chemistry (AREA)
- Pathology (AREA)
- General Physics & Mathematics (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Food Science & Technology (AREA)
- Biophysics (AREA)
- Medicinal Chemistry (AREA)
- Biotechnology (AREA)
- Cell Biology (AREA)
- Microbiology (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Electrochemistry (AREA)
- Endocrinology (AREA)
- Investigating Or Analyzing Materials By The Use Of Electric Means (AREA)
Abstract
Description
Claims
Priority Applications (8)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DK10716404.8T DK2422198T3 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayers SENSOR GROUP |
CN201080017555.7A CN102405410B (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
EP10716404.8A EP2422198B1 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
BRPI1012752-6A BRPI1012752B1 (en) | 2009-04-20 | 2010-04-19 | METHOD AND APPARATUS FOR DETECTING AN INTERACTION OF A MOLECULAR ENTITY WITH A MEMBRANE PROTEIN IN A LAYER OF ANFIFYLIC MOLECULES |
US13/265,448 US8828208B2 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
AU2010240670A AU2010240670B2 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
CA2758617A CA2758617C (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
JP2012506560A JP5781502B2 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US17072909P | 2009-04-20 | 2009-04-20 | |
US61/170,729 | 2009-04-20 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2010122293A1 true WO2010122293A1 (en) | 2010-10-28 |
Family
ID=42272150
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/GB2010/000789 WO2010122293A1 (en) | 2009-04-20 | 2010-04-19 | Lipid bilayer sensor array |
Country Status (10)
Country | Link |
---|---|
US (1) | US8828208B2 (en) |
EP (1) | EP2422198B1 (en) |
JP (1) | JP5781502B2 (en) |
KR (1) | KR20110138286A (en) |
CN (1) | CN102405410B (en) |
AU (1) | AU2010240670B2 (en) |
BR (1) | BRPI1012752B1 (en) |
CA (1) | CA2758617C (en) |
DK (1) | DK2422198T3 (en) |
WO (1) | WO2010122293A1 (en) |
Cited By (129)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2012033524A2 (en) | 2010-09-07 | 2012-03-15 | The Regents Of The University Of California | Control of dna movement in a nanopore at one nucleotide precision by a processive enzyme |
WO2012107778A2 (en) | 2011-02-11 | 2012-08-16 | Oxford Nanopore Technologies Limited | Mutant pores |
WO2012164270A1 (en) | 2011-05-27 | 2012-12-06 | Oxford Nanopore Technologies Limited | Coupling method |
WO2013014451A1 (en) | 2011-07-25 | 2013-01-31 | Oxford Nanopore Technologies Limited | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
WO2013041878A1 (en) | 2011-09-23 | 2013-03-28 | Oxford Nanopore Technologies Limited | Analysis of a polymer comprising polymer units |
WO2013057495A2 (en) | 2011-10-21 | 2013-04-25 | Oxford Nanopore Technologies Limited | Enzyme method |
WO2013098562A2 (en) | 2011-12-29 | 2013-07-04 | Oxford Nanopore Technologies Limited | Enzyme method |
WO2013098561A1 (en) | 2011-12-29 | 2013-07-04 | Oxford Nanopore Technologies Limited | Method for characterising a polynucelotide by using a xpd helicase |
WO2013121224A1 (en) | 2012-02-16 | 2013-08-22 | Oxford Nanopore Technologies Limited | Analysis of measurements of a polymer |
WO2013123379A2 (en) | 2012-02-16 | 2013-08-22 | The Regents Of The University Of California | Nanopore sensor for enzyme-mediated protein translocation |
WO2013121201A1 (en) | 2012-02-15 | 2013-08-22 | Oxford Nanopore Technologies Limited | Aptamer method |
WO2013121193A2 (en) | 2012-02-13 | 2013-08-22 | Oxford Nanopore Technologies Limited | Apparatus for supporting an array of layers of amphiphilic molecules and method of forming an array of layers of amphiphilic molecules |
WO2013153359A1 (en) | 2012-04-10 | 2013-10-17 | Oxford Nanopore Technologies Limited | Mutant lysenin pores |
WO2014013262A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Enzyme construct |
WO2014013259A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Ssb method |
WO2014013260A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Modified helicases |
WO2014064444A1 (en) | 2012-10-26 | 2014-05-01 | Oxford Nanopore Technologies Limited | Droplet interfaces |
WO2014072703A1 (en) | 2012-11-06 | 2014-05-15 | Oxford Nanopore Technologies Limited | Quadruplex method |
WO2015018541A1 (en) * | 2013-08-08 | 2015-02-12 | Siemens Aktiengesellschaft | Method for sequencing biopolymers |
JP2015510129A (en) * | 2012-02-27 | 2015-04-02 | ジニア・テクノロジーズ・インコーポレーテッドGenia Technologies Incorporated | Sensor circuit for controlling, detecting and measuring molecular complexes |
WO2015055981A2 (en) | 2013-10-18 | 2015-04-23 | Oxford Nanopore Technologies Limited | Modified enzymes |
WO2015056028A1 (en) | 2013-10-18 | 2015-04-23 | Oxford Nanopore Technologies Limited | Method of characterizing a target ribonucleic acid (rna) comprising forming a complementary polynucleotide which moves through a transmembrane pore |
WO2016055777A2 (en) | 2014-10-07 | 2016-04-14 | Oxford Nanopore Technologies Limited | Modified enzymes |
WO2016055778A1 (en) | 2014-10-07 | 2016-04-14 | Oxford Nanopore Technologies Limited | Mutant pores |
US9347929B2 (en) | 2011-03-01 | 2016-05-24 | The Regents Of The University Of Michigan | Controlling translocation through nanopores with fluid wall |
US9377437B2 (en) | 2010-02-08 | 2016-06-28 | Genia Technologies, Inc. | Systems and methods for characterizing a molecule |
WO2016132124A1 (en) | 2015-02-19 | 2016-08-25 | Oxford Nanopore Technologies Limited | Method |
WO2016132123A1 (en) | 2015-02-19 | 2016-08-25 | Oxford Nanopore Technologies Limited | Hetero-pores |
US9481908B2 (en) | 2007-04-04 | 2016-11-01 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
WO2016205310A1 (en) * | 2015-06-17 | 2016-12-22 | Qualcomm Incorporated | Current sensors using bipolar transistors |
US9551697B2 (en) | 2013-10-17 | 2017-01-24 | Genia Technologies, Inc. | Non-faradaic, capacitively coupled measurement in a nanopore cell array |
US9551023B2 (en) | 2012-09-14 | 2017-01-24 | Oxford Nanopore Technologies Ltd. | Sample preparation method |
US9581563B2 (en) | 2011-01-24 | 2017-02-28 | Genia Technologies, Inc. | System for communicating information from an array of sensors |
US9605307B2 (en) | 2010-02-08 | 2017-03-28 | Genia Technologies, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
US9617595B2 (en) | 2010-02-08 | 2017-04-11 | Genia Technologies, Inc. | Systems and methods for assembling a lipid bilayer on a substantially planar solid surface |
US9651519B2 (en) | 2009-12-01 | 2017-05-16 | Oxford Nanopore Technologies Limited | Biochemical analysis instrument |
US9678055B2 (en) | 2010-02-08 | 2017-06-13 | Genia Technologies, Inc. | Methods for forming a nanopore in a lipid bilayer |
WO2017098322A1 (en) | 2015-12-08 | 2017-06-15 | Katholieke Universiteit Leuven Ku Leuven Research & Development | Modified nanopores, compositions comprising the same, and uses thereof |
WO2017149318A1 (en) | 2016-03-02 | 2017-09-08 | Oxford Nanopore Technologies Limited | Mutant pores |
US9759711B2 (en) | 2013-02-05 | 2017-09-12 | Genia Technologies, Inc. | Nanopore arrays |
WO2017174990A1 (en) | 2016-04-06 | 2017-10-12 | Oxford Nanopore Technologies Limited | Mutant pore |
WO2018011603A1 (en) | 2016-07-14 | 2018-01-18 | Stefan Howorka | Membrane-spanning nanopores |
US9927398B2 (en) | 2007-12-19 | 2018-03-27 | Oxford Nanopore Technologies Ltd. | Formation of layers of amphiphilic molecules |
WO2018073604A1 (en) | 2016-10-21 | 2018-04-26 | Oxford Nanopore Technologies Limited | Method |
US10006905B2 (en) | 2013-03-25 | 2018-06-26 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
WO2018146491A1 (en) | 2017-02-10 | 2018-08-16 | Oxford Nanopore Technologies Limited | Modified nanopores, compositions comprising the same, and uses thereof |
US10077471B2 (en) | 2008-07-07 | 2018-09-18 | Oxford Nanopore Technologies Ltd. | Enzyme-pore constructs |
US10131943B2 (en) | 2012-12-19 | 2018-11-20 | Oxford Nanopore Technologies Ltd. | Analysis of a polynucleotide via a nanopore system |
WO2018211241A1 (en) | 2017-05-04 | 2018-11-22 | Oxford Nanopore Technologies Limited | Transmembrane pore consisting of two csgg pores |
GB201818216D0 (en) | 2018-11-08 | 2018-12-26 | Oxford Nanopore Tech Ltd | Pore |
US10167503B2 (en) | 2014-05-02 | 2019-01-01 | Oxford Nanopore Technologies Ltd. | Mutant pores |
US10215768B2 (en) | 2007-02-20 | 2019-02-26 | Oxford Nanopore Technologies Ltd. | Lipid bilayer sensor system |
US10221450B2 (en) | 2013-03-08 | 2019-03-05 | Oxford Nanopore Technologies Ltd. | Enzyme stalling method |
US10337060B2 (en) | 2014-04-04 | 2019-07-02 | Oxford Nanopore Technologies Ltd. | Method for characterising a double stranded nucleic acid using a nano-pore and anchor molecules at both ends of said nucleic acid |
GB201907246D0 (en) | 2019-05-22 | 2019-07-03 | Oxford Nanopore Tech Ltd | Method |
GB201907244D0 (en) | 2019-05-22 | 2019-07-03 | Oxford Nanopore Tech Ltd | Method |
US10392658B2 (en) | 2014-01-22 | 2019-08-27 | Oxford Nanopore Technologies Ltd. | Method for controlling the movement of a polynucleotide through a transmembrane pore |
US10400014B2 (en) | 2014-09-01 | 2019-09-03 | Oxford Nanopore Technologies Ltd. | Mutant CsgG pores |
US10480026B2 (en) | 2014-10-17 | 2019-11-19 | Oxford Nanopore Technologies Ltd. | Method for nanopore RNA characterisation |
WO2019224558A1 (en) | 2018-05-24 | 2019-11-28 | Oxford Nanopore Technologies Limited | Method for selecting polynucleotides based on the size in a globular form |
US10501767B2 (en) | 2013-08-16 | 2019-12-10 | Oxford Nanopore Technologies Ltd. | Polynucleotide modification methods |
GB201917060D0 (en) | 2019-11-22 | 2020-01-08 | Oxford Nanopore Tech Ltd | Method |
US10549274B2 (en) | 2014-10-17 | 2020-02-04 | Oxford Nanopore Technologies Ltd. | Electrical device with detachable components |
US10570440B2 (en) | 2014-10-14 | 2020-02-25 | Oxford Nanopore Technologies Ltd. | Method for modifying a template double stranded polynucleotide using a MuA transposase |
WO2020049293A1 (en) | 2018-09-04 | 2020-03-12 | Oxford Nanopore Technologies Ltd | Method for determining a polymer sequence |
US10596523B2 (en) | 2015-05-20 | 2020-03-24 | Oxford Nanopore Inc. | Methods and apparatus for forming apertures in a solid state membrane using dielectric breakdown |
WO2020095052A1 (en) | 2018-11-08 | 2020-05-14 | Oxford Nanopore Technologies Limited | Pore |
US10656117B2 (en) | 2013-02-25 | 2020-05-19 | The Regents Of The University Of Michigan | Nanopore-based determination of protein charge, sharp, volume, rotational diffusion coefficient, and dipole moment |
GB202004944D0 (en) | 2020-04-03 | 2020-05-20 | King S College London | Method |
US10669578B2 (en) | 2014-02-21 | 2020-06-02 | Oxford Nanopore Technologies Ltd. | Sample preparation method |
WO2020109773A1 (en) | 2018-11-28 | 2020-06-04 | Oxford Nanopore Technologies Limited | Analysis of nanopore signal using a machine-learning technique |
US10689697B2 (en) | 2014-10-16 | 2020-06-23 | Oxford Nanopore Technologies Ltd. | Analysis of a polymer |
WO2020128517A1 (en) | 2018-12-21 | 2020-06-25 | Oxford Nanopore Technologies Limited | Method of encoding data on a polynucleotide strand |
US10760114B2 (en) | 2014-10-17 | 2020-09-01 | Oxford Nanopore Technologies Ltd. | Methods for delivering an analyte to transmembrane pores |
US10774378B2 (en) | 2014-04-04 | 2020-09-15 | Oxford Nanopore Technologies Ltd. | Method of target molecule characterisation using a molecular pore |
WO2020183172A1 (en) | 2019-03-12 | 2020-09-17 | Oxford Nanopore Technologies Inc. | Nanopore sensing device and methods of operation and of forming it |
WO2020188235A1 (en) | 2019-03-19 | 2020-09-24 | Oxford Nanopore Technologies Limited | Current measurement apparatus, molecular entity sensing apparatus, method of measuring a current, method of sensing a molecular entity |
WO2020208357A1 (en) | 2019-04-09 | 2020-10-15 | Oxford Nanopore Technologies Limited | Pore |
US10814298B2 (en) | 2012-10-26 | 2020-10-27 | Oxford Nanopore Technologies Ltd. | Formation of array of membranes and apparatus therefor |
WO2020234595A1 (en) | 2019-05-22 | 2020-11-26 | Oxford Nanopore Technologies Limited | Sensing interactions between molecular entities and nanopores |
CN112292462A (en) * | 2018-06-27 | 2021-01-29 | 豪夫迈·罗氏有限公司 | Multiplexing analog components in a biochemical sensor array |
WO2021111125A1 (en) | 2019-12-02 | 2021-06-10 | Oxford Nanopore Technologies Limited | Method of characterising a target polypeptide using a nanopore |
WO2021111139A1 (en) | 2019-12-04 | 2021-06-10 | Oxford Nanopore Technologies Limited | Method |
US11041198B2 (en) | 2016-03-30 | 2021-06-22 | Roche Sequencing Solutions, Inc. | Electrical enhancement of bilayer formation |
GB202107192D0 (en) | 2021-05-19 | 2021-06-30 | Oxford Nanopore Tech Ltd | Method |
GB202107354D0 (en) | 2021-05-24 | 2021-07-07 | Oxford Nanopore Tech Ltd | Method |
US11169138B2 (en) | 2015-04-14 | 2021-11-09 | Katholieke Universiteit Leuven | Nanopores with internal protein adaptors |
WO2021255476A2 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | Method |
WO2021255475A1 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | A method of selectively characterising a polynucleotide using a detector |
WO2021255414A1 (en) | 2020-06-17 | 2021-12-23 | Oxford Nanopore Technologies Limited | Nanopore support structure and manufacture thereof |
WO2021255477A1 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | Method of repeatedly moving a double-stranded polynucleotide through a nanopore |
WO2022013551A1 (en) | 2020-07-17 | 2022-01-20 | Oxford Nanopore Technologies Limited | Nanopore sensing device |
WO2022020461A1 (en) | 2020-07-22 | 2022-01-27 | Oxford Nanopore Technologies Inc. | Solid state nanopore formation |
WO2022074397A1 (en) | 2020-10-08 | 2022-04-14 | Oxford Nanopore Technologies Limited | Modification of a nanopore forming protein oligomer |
US11352664B2 (en) | 2009-01-30 | 2022-06-07 | Oxford Nanopore Technologies Plc | Adaptors for nucleic acid constructs in transmembrane sequencing |
EP4063521A1 (en) | 2016-05-25 | 2022-09-28 | Oxford Nanopore Technologies PLC | Method of nanopore sequencing |
US11572387B2 (en) | 2017-06-30 | 2023-02-07 | Vib Vzw | Protein pores |
US11596940B2 (en) | 2016-07-06 | 2023-03-07 | Oxford Nanopore Technologies Plc | Microfluidic device |
US11649480B2 (en) | 2016-05-25 | 2023-05-16 | Oxford Nanopore Technologies Plc | Method for modifying a template double stranded polynucleotide |
WO2023094806A1 (en) | 2021-11-29 | 2023-06-01 | Oxford Nanopore Technologies Plc | Nanopore measurement signal analysis |
WO2023118891A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Method of characterising polypeptides using a nanopore |
WO2023118404A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Pore |
WO2023118892A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Method |
GB202307486D0 (en) | 2023-05-18 | 2023-07-05 | Oxford Nanopore Tech Plc | Method |
US11725205B2 (en) | 2018-05-14 | 2023-08-15 | Oxford Nanopore Technologies Plc | Methods and polynucleotides for amplifying a target polynucleotide |
US11725235B2 (en) | 2014-01-22 | 2023-08-15 | Oxford Nanopore Technologies Plc | Method for attaching one or more polynucleotide binding proteins to a target polynucleotide |
WO2023161625A1 (en) | 2022-02-28 | 2023-08-31 | Oxford Nanopore Technologies Plc | Apparatus and methods for controlling insertion of a membrane channel into a membrane |
GB2616856A (en) * | 2022-03-21 | 2023-09-27 | Oxford Nanopore Tech Plc | Calibration and profiling of a nanopore array device |
WO2023198911A2 (en) | 2022-04-14 | 2023-10-19 | Oxford Nanopore Technologies Plc | Novel modified protein pores and enzymes |
WO2023222657A1 (en) | 2022-05-17 | 2023-11-23 | Oxford Nanopore Technologies Plc | Method and adaptors |
WO2023222994A1 (en) | 2022-05-18 | 2023-11-23 | Oxford Nanopore Technologies Plc | Calibration of a nanopore array device |
WO2024033422A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024033443A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024033447A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | De novo pores |
WO2024033421A2 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024084211A1 (en) | 2022-10-19 | 2024-04-25 | Oxford Nanopore Technologies Plc | Analysis of a polymer |
WO2024089270A2 (en) | 2022-10-28 | 2024-05-02 | Oxford Nanopore Technologies Plc | Pore monomers and pores |
WO2024094986A1 (en) | 2022-10-31 | 2024-05-10 | Oxford Nanopore Technologies Plc | Method |
WO2024100270A1 (en) | 2022-11-11 | 2024-05-16 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
DE102023201963B3 (en) | 2023-03-03 | 2024-06-13 | Hahn-Schickard-Gesellschaft für angewandte Forschung e.V. | Readout circuit for reading electrical currents of 10nA and/or less and use of a readout circuit and method for reading the readout circuit |
GB202407228D0 (en) | 2024-05-21 | 2024-07-03 | Oxford Nanopore Tech Plc | Method |
EP4397775A2 (en) | 2017-05-04 | 2024-07-10 | Oxford Nanopore Technologies PLC | Machine-learning analysis of nanopore measurements |
WO2024156993A1 (en) | 2023-01-25 | 2024-08-02 | Oxford Nanopore Technologies Plc | Calibration of a nanopore array device |
WO2024180332A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180329A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180331A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180330A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024200280A1 (en) | 2023-03-24 | 2024-10-03 | Oxford Nanopore Technologies Plc | Method and kits |
US12121894B2 (en) | 2017-11-29 | 2024-10-22 | Oxford Nanopore Technologies Plc | Microfluidic device |
Families Citing this family (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010144150A2 (en) | 2009-06-12 | 2010-12-16 | Pacific Biosciences Of California, Inc. | Real-time analytical methods and systems |
US20160007893A1 (en) | 2013-02-06 | 2016-01-14 | Loxbridge Research Llp | Systems and methods for early disease detection and real-time disease monitoring |
EP3127148A4 (en) | 2014-03-31 | 2017-11-15 | Multerra Bio, Inc. | Low-cost packaging for fluidic and device co-integration |
TWI554612B (en) * | 2014-10-06 | 2016-10-21 | 國立臺灣大學 | Biologic sensing platforms and methods of fabricating the same |
US10859562B2 (en) | 2016-02-29 | 2020-12-08 | Iridia, Inc. | Methods, compositions, and devices for information storage |
US10438662B2 (en) | 2016-02-29 | 2019-10-08 | Iridia, Inc. | Methods, compositions, and devices for information storage |
US10640822B2 (en) | 2016-02-29 | 2020-05-05 | Iridia, Inc. | Systems and methods for writing, reading, and controlling data stored in a polymer |
US10024818B2 (en) | 2016-06-17 | 2018-07-17 | Qualcomm Incorporated | Biasing of an ionic current sensor |
US11837302B1 (en) | 2020-08-07 | 2023-12-05 | Iridia, Inc. | Systems and methods for writing and reading data stored in a polymer using nano-channels |
KR102629002B1 (en) * | 2021-04-06 | 2024-01-25 | 한국과학기술연구원 | Field effect transistor-based device for molecular detection |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030070923A1 (en) * | 2000-08-04 | 2003-04-17 | Schroeder Kirk S. | High-throughput electrophysiological measurement system |
WO2008102120A1 (en) | 2007-02-20 | 2008-08-28 | Oxford Nanopore Technologies Limited | Lipid bilayer sensor system |
EP1965210A1 (en) * | 2007-02-28 | 2008-09-03 | Interuniversitair Microelektronica Centrum (IMEC) | Interface device for sensor array and method of using the same |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6154756A (en) | 1984-08-25 | 1986-03-19 | Fuji Electric Corp Res & Dev Ltd | Contact type image sensor |
US5846708A (en) * | 1991-11-19 | 1998-12-08 | Massachusetts Institiute Of Technology | Optical and electrical methods and apparatus for molecule detection |
US5965452A (en) | 1996-07-09 | 1999-10-12 | Nanogen, Inc. | Multiplexed active biologic array |
JPH08292998A (en) | 1995-04-20 | 1996-11-05 | Mitsubishi Electric Corp | Device and method for image detection |
US8349602B1 (en) * | 1996-04-19 | 2013-01-08 | Xenogen Corporation | Biodetectors targeted to specific ligands |
US6682649B1 (en) * | 1999-10-01 | 2004-01-27 | Sophion Bioscience A/S | Substrate and a method for determining and/or monitoring electrophysiological properties of ion channels |
US7001792B2 (en) | 2000-04-24 | 2006-02-21 | Eagle Research & Development, Llc | Ultra-fast nucleic acid sequencing device and a method for making and using the same |
AU2001293676B2 (en) | 2000-10-02 | 2006-07-27 | Sophion Bioscience A/S | System for electrophysiological measurements |
EP1460415B1 (en) * | 2001-11-19 | 2011-01-12 | Panasonic Corporation | Measurement device for measuring electric signal emitted by biological sample |
ATE354635T1 (en) * | 2002-04-17 | 2007-03-15 | Sophion Bioscience As | SUBSTRATE AND METHOD FOR MEASURING ELECTROPHYSIOLOGICAL PROPERTIES OF CELL MEMBRANES |
EP1514097A1 (en) | 2002-06-19 | 2005-03-16 | Becton, Dickinson and Company | Microfabricated sensor arrays |
DE10251757B4 (en) * | 2002-11-05 | 2006-03-09 | Micronas Holding Gmbh | Device for determining the concentration of ligands contained in a sample to be examined |
WO2007084077A1 (en) * | 2006-01-20 | 2007-07-26 | Agency For Science, Technology And Research | Biosensor cell and biosensor array |
US7777505B2 (en) * | 2006-05-05 | 2010-08-17 | University Of Utah Research Foundation | Nanopore platforms for ion channel recordings and single molecule detection and analysis |
GB0724736D0 (en) | 2007-12-19 | 2008-01-30 | Oxford Nanolabs Ltd | Formation of layers of amphiphilic molecules |
-
2010
- 2010-04-19 AU AU2010240670A patent/AU2010240670B2/en active Active
- 2010-04-19 CA CA2758617A patent/CA2758617C/en active Active
- 2010-04-19 KR KR1020117027399A patent/KR20110138286A/en not_active Application Discontinuation
- 2010-04-19 CN CN201080017555.7A patent/CN102405410B/en active Active
- 2010-04-19 US US13/265,448 patent/US8828208B2/en active Active
- 2010-04-19 DK DK10716404.8T patent/DK2422198T3/en active
- 2010-04-19 BR BRPI1012752-6A patent/BRPI1012752B1/en active IP Right Grant
- 2010-04-19 EP EP10716404.8A patent/EP2422198B1/en active Active
- 2010-04-19 JP JP2012506560A patent/JP5781502B2/en active Active
- 2010-04-19 WO PCT/GB2010/000789 patent/WO2010122293A1/en active Application Filing
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030070923A1 (en) * | 2000-08-04 | 2003-04-17 | Schroeder Kirk S. | High-throughput electrophysiological measurement system |
WO2008102120A1 (en) | 2007-02-20 | 2008-08-28 | Oxford Nanopore Technologies Limited | Lipid bilayer sensor system |
EP1965210A1 (en) * | 2007-02-28 | 2008-09-03 | Interuniversitair Microelektronica Centrum (IMEC) | Interface device for sensor array and method of using the same |
Cited By (272)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US10215768B2 (en) | 2007-02-20 | 2019-02-26 | Oxford Nanopore Technologies Ltd. | Lipid bilayer sensor system |
US10196688B2 (en) | 2007-04-04 | 2019-02-05 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US10344327B2 (en) | 2007-04-04 | 2019-07-09 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US9481908B2 (en) | 2007-04-04 | 2016-11-01 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US10202645B2 (en) | 2007-04-04 | 2019-02-12 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US10208342B2 (en) | 2007-04-04 | 2019-02-19 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US10081835B2 (en) | 2007-04-04 | 2018-09-25 | The Regents Of The University Of California | Nucleotide sequencing using an array of independently addressable nanopores |
US11970738B2 (en) | 2007-04-04 | 2024-04-30 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US9797013B2 (en) | 2007-04-04 | 2017-10-24 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US12054775B2 (en) | 2007-04-04 | 2024-08-06 | The Regents Of The University Of California | Compositions, devices, systems, and methods for using a nanopore |
US10059988B2 (en) | 2007-04-04 | 2018-08-28 | The Regents Of The University Of California | Methods for using a nanopore |
US11898984B2 (en) | 2007-12-19 | 2024-02-13 | Oxford Nanopore Technologies Plc | Nanopore arrays for sequencing nucleic acids |
US9927398B2 (en) | 2007-12-19 | 2018-03-27 | Oxford Nanopore Technologies Ltd. | Formation of layers of amphiphilic molecules |
US10416117B2 (en) | 2007-12-19 | 2019-09-17 | Oxford Nanopore Technologies Ltd. | Formation of layers of amphiphilic molecules |
US10077471B2 (en) | 2008-07-07 | 2018-09-18 | Oxford Nanopore Technologies Ltd. | Enzyme-pore constructs |
US11859247B2 (en) | 2008-07-07 | 2024-01-02 | Oxford Nanopore Technologies Plc | Enzyme-pore constructs |
US11078530B2 (en) | 2008-07-07 | 2021-08-03 | Oxford Nanopore Technologies Ltd. | Enzyme-pore constructs |
US11352664B2 (en) | 2009-01-30 | 2022-06-07 | Oxford Nanopore Technologies Plc | Adaptors for nucleic acid constructs in transmembrane sequencing |
US11459606B2 (en) | 2009-01-30 | 2022-10-04 | Oxford Nanopore Technologies Plc | Adaptors for nucleic acid constructs in transmembrane sequencing |
US10386330B2 (en) | 2009-12-01 | 2019-08-20 | Oxford Nanopore Technologies Ltd. | Biochemical analysis instrument |
US10788451B2 (en) | 2009-12-01 | 2020-09-29 | Oxford Nanopore Technologies Ltd. | Biochemical analysis instrument |
US11169113B2 (en) | 2009-12-01 | 2021-11-09 | Oxford Nanopore Technologies Ltd. | Biochemical analysis instrument |
US9651519B2 (en) | 2009-12-01 | 2017-05-16 | Oxford Nanopore Technologies Limited | Biochemical analysis instrument |
US10456993B2 (en) | 2010-02-08 | 2019-10-29 | Roche Sequencing Solutions, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
US9678055B2 (en) | 2010-02-08 | 2017-06-13 | Genia Technologies, Inc. | Methods for forming a nanopore in a lipid bilayer |
US11027502B2 (en) | 2010-02-08 | 2021-06-08 | Roche Sequencing Solutions, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
US9605307B2 (en) | 2010-02-08 | 2017-03-28 | Genia Technologies, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
US9377437B2 (en) | 2010-02-08 | 2016-06-28 | Genia Technologies, Inc. | Systems and methods for characterizing a molecule |
US9617595B2 (en) | 2010-02-08 | 2017-04-11 | Genia Technologies, Inc. | Systems and methods for assembling a lipid bilayer on a substantially planar solid surface |
US10926486B2 (en) | 2010-02-08 | 2021-02-23 | Roche Sequencing Solutions, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
US10371692B2 (en) | 2010-02-08 | 2019-08-06 | Genia Technologies, Inc. | Systems for forming a nanopore in a lipid bilayer |
US10343350B2 (en) | 2010-02-08 | 2019-07-09 | Genia Technologies, Inc. | Systems and methods for forming a nanopore in a lipid bilayer |
WO2012033524A2 (en) | 2010-09-07 | 2012-03-15 | The Regents Of The University Of California | Control of dna movement in a nanopore at one nucleotide precision by a processive enzyme |
US9869655B2 (en) | 2011-01-24 | 2018-01-16 | Genia Technologies, Inc. | System for detecting electrical properties of a molecular complex |
US9581563B2 (en) | 2011-01-24 | 2017-02-28 | Genia Technologies, Inc. | System for communicating information from an array of sensors |
US10156541B2 (en) | 2011-01-24 | 2018-12-18 | Genia Technologies, Inc. | System for detecting electrical properties of a molecular complex |
US9751915B2 (en) | 2011-02-11 | 2017-09-05 | Oxford Nanopore Technologies Ltd. | Mutant pores |
WO2012107778A2 (en) | 2011-02-11 | 2012-08-16 | Oxford Nanopore Technologies Limited | Mutant pores |
US10254271B2 (en) | 2011-03-01 | 2019-04-09 | The Regents Of The University Of Michigan | Controlling translocation through nanopores with fluid walls |
US9347929B2 (en) | 2011-03-01 | 2016-05-24 | The Regents Of The University Of Michigan | Controlling translocation through nanopores with fluid wall |
US10670578B2 (en) | 2011-03-01 | 2020-06-02 | The Regents Of The University Of Michigan | Controlling translocation through nanopores with fluid walls |
US11946102B2 (en) | 2011-05-27 | 2024-04-02 | Oxford Nanopore Technologies Plc | Coupling method |
US11959135B2 (en) | 2011-05-27 | 2024-04-16 | Oxford Nanopore Technologies Plc | Coupling method |
WO2012164270A1 (en) | 2011-05-27 | 2012-12-06 | Oxford Nanopore Technologies Limited | Coupling method |
EP3848706A1 (en) | 2011-05-27 | 2021-07-14 | Oxford Nanopore Technologies Limited | Coupling method |
US11136623B2 (en) | 2011-05-27 | 2021-10-05 | Oxford Nanopore Technologies Limited | Coupling method |
US11041194B2 (en) | 2011-05-27 | 2021-06-22 | Oxford Nanopore Technologies Ltd. | Coupling method |
EP4273092A2 (en) | 2011-05-27 | 2023-11-08 | Oxford Nanopore Technologies plc | Method and apparatus for determining the presence, absence or characteristics of an analyte |
EP3633370A1 (en) | 2011-05-27 | 2020-04-08 | Oxford Nanopore Technologies Limited | Coupling method |
US10246741B2 (en) | 2011-05-27 | 2019-04-02 | Oxford Nanopore Technologies Ltd. | Coupling method |
US10597713B2 (en) | 2011-07-25 | 2020-03-24 | Oxford Nanopore Technologies Ltd. | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
US10851409B2 (en) | 2011-07-25 | 2020-12-01 | Oxford Nanopore Technologies Ltd. | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
US11168363B2 (en) | 2011-07-25 | 2021-11-09 | Oxford Nanopore Technologies Ltd. | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
WO2013014451A1 (en) | 2011-07-25 | 2013-01-31 | Oxford Nanopore Technologies Limited | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
US9957560B2 (en) | 2011-07-25 | 2018-05-01 | Oxford Nanopore Technologies Ltd. | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
US11261487B2 (en) | 2011-07-25 | 2022-03-01 | Oxford Nanopore Technologies Plc | Hairpin loop method for double strand polynucleotide sequencing using transmembrane pores |
US11921103B2 (en) | 2011-09-23 | 2024-03-05 | Oxford Nanopore Technologies Plc | Method of operating a measurement system to analyze a polymer |
EP3663412A1 (en) | 2011-09-23 | 2020-06-10 | Oxford Nanopore Technologies Limited | Analysis of a polymer comprising polymer units by means of translocation through a nanopore |
EP3269825A1 (en) | 2011-09-23 | 2018-01-17 | Oxford Nanopore Technologies Limited | Analysis of a polymer comprising polymer units |
WO2013041878A1 (en) | 2011-09-23 | 2013-03-28 | Oxford Nanopore Technologies Limited | Analysis of a polymer comprising polymer units |
US11634763B2 (en) | 2011-10-21 | 2023-04-25 | Oxford Nanopore Technologies Plc | Enzyme method |
US9758823B2 (en) | 2011-10-21 | 2017-09-12 | Oxford Nanopore Technologies Limited | Enzyme method |
US10724087B2 (en) | 2011-10-21 | 2020-07-28 | Oxford Nanopore Technologies Ltd. | Enzyme method |
WO2013057495A2 (en) | 2011-10-21 | 2013-04-25 | Oxford Nanopore Technologies Limited | Enzyme method |
EP2987870A1 (en) | 2011-10-21 | 2016-02-24 | Oxford Nanopore Technologies Limited | Method of characterizing a target polynucleotide using a transmembrane pore and molecular motor |
WO2013098561A1 (en) | 2011-12-29 | 2013-07-04 | Oxford Nanopore Technologies Limited | Method for characterising a polynucelotide by using a xpd helicase |
WO2013098562A2 (en) | 2011-12-29 | 2013-07-04 | Oxford Nanopore Technologies Limited | Enzyme method |
US9617591B2 (en) | 2011-12-29 | 2017-04-11 | Oxford Nanopore Technologies Ltd. | Method for characterising a polynucleotide by using a XPD helicase |
US10385382B2 (en) | 2011-12-29 | 2019-08-20 | Oxford Nanopore Technologies Ltd. | Enzyme method |
US11913936B2 (en) | 2012-02-13 | 2024-02-27 | Oxford Nanopore Technologies Plc | Apparatus for supporting an array of layers of amphiphilic molecules and method of forming an array of layers of amphiphilic molecules |
US11561216B2 (en) | 2012-02-13 | 2023-01-24 | Oxford Nanopore Technologies Plc | Apparatus for supporting an array of layers of amphiphilic molecules and method of forming an array of layers of amphiphilic molecules |
WO2013121193A2 (en) | 2012-02-13 | 2013-08-22 | Oxford Nanopore Technologies Limited | Apparatus for supporting an array of layers of amphiphilic molecules and method of forming an array of layers of amphiphilic molecules |
US10338056B2 (en) | 2012-02-13 | 2019-07-02 | Oxford Nanopore Technologies Ltd. | Apparatus for supporting an array of layers of amphiphilic molecules and method of forming an array of layers of amphiphilic molecules |
US10739341B2 (en) | 2012-02-15 | 2020-08-11 | Oxford Nanopore Technologies Limited | Aptamer method |
WO2013121201A1 (en) | 2012-02-15 | 2013-08-22 | Oxford Nanopore Technologies Limited | Aptamer method |
US11685922B2 (en) | 2012-02-15 | 2023-06-27 | Oxford Nanopore Technologies Plc | Aptamer method |
WO2013123379A2 (en) | 2012-02-16 | 2013-08-22 | The Regents Of The University Of California | Nanopore sensor for enzyme-mediated protein translocation |
WO2013121224A1 (en) | 2012-02-16 | 2013-08-22 | Oxford Nanopore Technologies Limited | Analysis of measurements of a polymer |
EP3736339A1 (en) | 2012-02-16 | 2020-11-11 | Oxford Nanopore Technologies Limited | Analysis of measurements of a polymer |
US11959906B2 (en) | 2012-02-16 | 2024-04-16 | Oxford Nanopore Technologies Plc | Analysis of measurements of a polymer |
US11275052B2 (en) | 2012-02-27 | 2022-03-15 | Roche Sequencing Solutions, Inc. | Sensor circuit for controlling, detecting, and measuring a molecular complex |
US9290805B2 (en) | 2012-02-27 | 2016-03-22 | Genia Technologies, Inc. | Sensor circuit for controlling, detecting, and measuring a molecular complex |
US10724987B2 (en) | 2012-02-27 | 2020-07-28 | Roche Sequencing Solutions, Inc. | Sensor circuit for controlling, detecting, and measuring a molecular complex |
JP2016164576A (en) * | 2012-02-27 | 2016-09-08 | ジニア・テクノロジーズ・インコーポレーテッドGenia Technologies Incorporated | Electrical circuit for controlling, detecting, and measuring molecular complex |
JP2015510129A (en) * | 2012-02-27 | 2015-04-02 | ジニア・テクノロジーズ・インコーポレーテッドGenia Technologies Incorporated | Sensor circuit for controlling, detecting and measuring molecular complexes |
US11845780B2 (en) | 2012-04-10 | 2023-12-19 | Oxford Nanopore Technologies Plc | Mutant lysenin pores |
EP3192804A1 (en) | 2012-04-10 | 2017-07-19 | Oxford Nanopore Technologies Limited | Mutant lysenin pores |
WO2013153359A1 (en) | 2012-04-10 | 2013-10-17 | Oxford Nanopore Technologies Limited | Mutant lysenin pores |
US9777049B2 (en) | 2012-04-10 | 2017-10-03 | Oxford Nanopore Technologies Ltd. | Mutant lysenin pores |
US10882889B2 (en) | 2012-04-10 | 2021-01-05 | Oxford Nanopore Technologies Ltd. | Mutant lysenin pores |
US11155860B2 (en) | 2012-07-19 | 2021-10-26 | Oxford Nanopore Technologies Ltd. | SSB method |
WO2014013260A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Modified helicases |
WO2014013259A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Ssb method |
WO2014013262A1 (en) | 2012-07-19 | 2014-01-23 | Oxford Nanopore Technologies Limited | Enzyme construct |
EP3741847A1 (en) | 2012-07-19 | 2020-11-25 | Oxford Nanopore Technologies Limited | Modified helicases |
US11525126B2 (en) | 2012-07-19 | 2022-12-13 | Oxford Nanopore Technologies Plc | Modified helicases |
US10808231B2 (en) | 2012-07-19 | 2020-10-20 | Oxford Nanopore Technologies Limited | Modified helicases |
US9797009B2 (en) | 2012-07-19 | 2017-10-24 | Oxford Nanopore Technologies Limited | Enzyme construct |
US9551023B2 (en) | 2012-09-14 | 2017-01-24 | Oxford Nanopore Technologies Ltd. | Sample preparation method |
WO2014064444A1 (en) | 2012-10-26 | 2014-05-01 | Oxford Nanopore Technologies Limited | Droplet interfaces |
US10814298B2 (en) | 2012-10-26 | 2020-10-27 | Oxford Nanopore Technologies Ltd. | Formation of array of membranes and apparatus therefor |
WO2014072703A1 (en) | 2012-11-06 | 2014-05-15 | Oxford Nanopore Technologies Limited | Quadruplex method |
US9995728B2 (en) | 2012-11-06 | 2018-06-12 | Oxford Nanopore Technologies Ltd. | Quadruplex method |
US11085077B2 (en) | 2012-12-19 | 2021-08-10 | Oxford Nanopore Technologies Ltd. | Analysis of a polynucleotide via a nanopore system |
US10131943B2 (en) | 2012-12-19 | 2018-11-20 | Oxford Nanopore Technologies Ltd. | Analysis of a polynucleotide via a nanopore system |
US9759711B2 (en) | 2013-02-05 | 2017-09-12 | Genia Technologies, Inc. | Nanopore arrays |
US10012637B2 (en) | 2013-02-05 | 2018-07-03 | Genia Technologies, Inc. | Nanopore arrays |
US10809244B2 (en) | 2013-02-05 | 2020-10-20 | Roche Sequencing Solutions, Inc. | Nanopore arrays |
US10656117B2 (en) | 2013-02-25 | 2020-05-19 | The Regents Of The University Of Michigan | Nanopore-based determination of protein charge, sharp, volume, rotational diffusion coefficient, and dipole moment |
US11560589B2 (en) | 2013-03-08 | 2023-01-24 | Oxford Nanopore Technologies Plc | Enzyme stalling method |
US10221450B2 (en) | 2013-03-08 | 2019-03-05 | Oxford Nanopore Technologies Ltd. | Enzyme stalling method |
US10976311B2 (en) | 2013-03-25 | 2021-04-13 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
US10514378B2 (en) | 2013-03-25 | 2019-12-24 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
US11761956B2 (en) | 2013-03-25 | 2023-09-19 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
US10802015B2 (en) | 2013-03-25 | 2020-10-13 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
US10006905B2 (en) | 2013-03-25 | 2018-06-26 | Katholieke Universiteit Leuven | Nanopore biosensors for detection of proteins and nucleic acids |
DE102013215666B4 (en) | 2013-08-08 | 2024-06-13 | Siemens Healthineers Ag | Methods for sequencing biopolymers |
WO2015018541A1 (en) * | 2013-08-08 | 2015-02-12 | Siemens Aktiengesellschaft | Method for sequencing biopolymers |
US10822654B2 (en) | 2013-08-08 | 2020-11-03 | Siemens Aktiengesellschaft | Sequencing biopolymers |
US10501767B2 (en) | 2013-08-16 | 2019-12-10 | Oxford Nanopore Technologies Ltd. | Polynucleotide modification methods |
US11186857B2 (en) | 2013-08-16 | 2021-11-30 | Oxford Nanopore Technologies Plc | Polynucleotide modification methods |
US9551697B2 (en) | 2013-10-17 | 2017-01-24 | Genia Technologies, Inc. | Non-faradaic, capacitively coupled measurement in a nanopore cell array |
US10393700B2 (en) | 2013-10-17 | 2019-08-27 | Roche Sequencing Solutions, Inc. | Non-faradaic, capacitively coupled measurement in a nanopore cell array |
EP4006168A1 (en) | 2013-10-18 | 2022-06-01 | Oxford Nanopore Technologies PLC | Method of characterizing a target ribonucleic acid (rna) comprising forming a complementary polynucleotide which moves through a transmembrane pore |
US11111532B2 (en) | 2013-10-18 | 2021-09-07 | Oxford Nanopore Technologies Ltd. | Method of characterizing a target ribonucleic acid (RNA) comprising forming a complementary polynucleotide which moves through a transmembrane pore |
WO2015055981A2 (en) | 2013-10-18 | 2015-04-23 | Oxford Nanopore Technologies Limited | Modified enzymes |
WO2015056028A1 (en) | 2013-10-18 | 2015-04-23 | Oxford Nanopore Technologies Limited | Method of characterizing a target ribonucleic acid (rna) comprising forming a complementary polynucleotide which moves through a transmembrane pore |
US11525125B2 (en) | 2013-10-18 | 2022-12-13 | Oxford Nanopore Technologies Plc | Modified helicases |
EP3575410A2 (en) | 2013-10-18 | 2019-12-04 | Oxford Nanopore Technologies Limited | Modified enzymes |
US10724018B2 (en) | 2013-10-18 | 2020-07-28 | Oxford Nanopore Technologies Ltd. | Modified helicases |
US10392658B2 (en) | 2014-01-22 | 2019-08-27 | Oxford Nanopore Technologies Ltd. | Method for controlling the movement of a polynucleotide through a transmembrane pore |
US11725235B2 (en) | 2014-01-22 | 2023-08-15 | Oxford Nanopore Technologies Plc | Method for attaching one or more polynucleotide binding proteins to a target polynucleotide |
US10669578B2 (en) | 2014-02-21 | 2020-06-02 | Oxford Nanopore Technologies Ltd. | Sample preparation method |
US11542551B2 (en) | 2014-02-21 | 2023-01-03 | Oxford Nanopore Technologies Plc | Sample preparation method |
US10337060B2 (en) | 2014-04-04 | 2019-07-02 | Oxford Nanopore Technologies Ltd. | Method for characterising a double stranded nucleic acid using a nano-pore and anchor molecules at both ends of said nucleic acid |
US11236385B2 (en) | 2014-04-04 | 2022-02-01 | Oxford Nanopore Technologies Ltd. | Method for characterising a double stranded nucleic acid using a nano-pore and anchor molecules at both ends of said nucleic acid |
US10774378B2 (en) | 2014-04-04 | 2020-09-15 | Oxford Nanopore Technologies Ltd. | Method of target molecule characterisation using a molecular pore |
US11649490B2 (en) | 2014-04-04 | 2023-05-16 | Oxford Nanopore Technologies Plc | Method of target molecule characterisation using a molecular pore |
US10844432B2 (en) | 2014-05-02 | 2020-11-24 | Oxford Nanopore Technologies, Ltd. | Method of improving the movement of a target polynucleotide with respect to a transmembrane pore |
US10443097B2 (en) | 2014-05-02 | 2019-10-15 | Oxford Nanopore Technologies Ltd. | Method of improving the movement of a target polynucleotide with respect to a transmembrane pore |
US11739377B2 (en) | 2014-05-02 | 2023-08-29 | Oxford Nanopore Technologies Plc | Method of improving the movement of a target polynucleotide with respect to a transmembrane pore |
US10167503B2 (en) | 2014-05-02 | 2019-01-01 | Oxford Nanopore Technologies Ltd. | Mutant pores |
US10400014B2 (en) | 2014-09-01 | 2019-09-03 | Oxford Nanopore Technologies Ltd. | Mutant CsgG pores |
EP4053150A1 (en) | 2014-09-01 | 2022-09-07 | Vib Vzw | Mutant csgg pores |
US11034734B2 (en) | 2014-09-01 | 2021-06-15 | Oxford Nanopore Technologies Ltd. | Mutant pores |
WO2016055778A1 (en) | 2014-10-07 | 2016-04-14 | Oxford Nanopore Technologies Limited | Mutant pores |
US11965183B2 (en) | 2014-10-07 | 2024-04-23 | Oxford Nanopore Technologies Plc | Modified enzymes |
US11180741B2 (en) | 2014-10-07 | 2021-11-23 | Oxford Nanopore Technologies Ltd. | Modified enzymes |
WO2016055777A2 (en) | 2014-10-07 | 2016-04-14 | Oxford Nanopore Technologies Limited | Modified enzymes |
US10266885B2 (en) | 2014-10-07 | 2019-04-23 | Oxford Nanopore Technologies Ltd. | Mutant pores |
EP4108679A1 (en) | 2014-10-07 | 2022-12-28 | Oxford Nanopore Technologies plc | Modified enzymes |
US11390904B2 (en) | 2014-10-14 | 2022-07-19 | Oxford Nanopore Technologies Plc | Nanopore-based method and double stranded nucleic acid construct therefor |
US10570440B2 (en) | 2014-10-14 | 2020-02-25 | Oxford Nanopore Technologies Ltd. | Method for modifying a template double stranded polynucleotide using a MuA transposase |
EP3971300A1 (en) | 2014-10-16 | 2022-03-23 | Oxford Nanopore Technologies plc | Sorting of polymers |
US10689697B2 (en) | 2014-10-16 | 2020-06-23 | Oxford Nanopore Technologies Ltd. | Analysis of a polymer |
US11401549B2 (en) | 2014-10-16 | 2022-08-02 | Oxford Nanopore Technologies Plc | Analysis of a polymer |
EP4397972A2 (en) | 2014-10-16 | 2024-07-10 | Oxford Nanopore Technologies PLC | Alignment mapping estimation |
US11021747B2 (en) | 2014-10-17 | 2021-06-01 | Oxford Nanopore Technologies Ltd. | Method for nanopore RNA characterisation |
US10760114B2 (en) | 2014-10-17 | 2020-09-01 | Oxford Nanopore Technologies Ltd. | Methods for delivering an analyte to transmembrane pores |
US10549274B2 (en) | 2014-10-17 | 2020-02-04 | Oxford Nanopore Technologies Ltd. | Electrical device with detachable components |
US10480026B2 (en) | 2014-10-17 | 2019-11-19 | Oxford Nanopore Technologies Ltd. | Method for nanopore RNA characterisation |
US11613771B2 (en) | 2014-10-17 | 2023-03-28 | Oxford Nanopore Technologies Plc | Methods for delivering an analyte to transmembrane pores |
EP4019535A1 (en) | 2015-02-19 | 2022-06-29 | Oxford Nanopore Technologies plc | Hetero-pores |
WO2016132123A1 (en) | 2015-02-19 | 2016-08-25 | Oxford Nanopore Technologies Limited | Hetero-pores |
US11307192B2 (en) | 2015-02-19 | 2022-04-19 | Oxford Nanopore Technologies Plc | Method for producing a hetero-oligomeric pore comprising two different monomers in a specific stiochiometric ratio |
US10472673B2 (en) | 2015-02-19 | 2019-11-12 | Oxford Nanopore Technologies Ltd. | Hetero-pores |
WO2016132124A1 (en) | 2015-02-19 | 2016-08-25 | Oxford Nanopore Technologies Limited | Method |
US11169138B2 (en) | 2015-04-14 | 2021-11-09 | Katholieke Universiteit Leuven | Nanopores with internal protein adaptors |
US10596523B2 (en) | 2015-05-20 | 2020-03-24 | Oxford Nanopore Inc. | Methods and apparatus for forming apertures in a solid state membrane using dielectric breakdown |
US11986775B2 (en) | 2015-05-20 | 2024-05-21 | Oxford Nanopore Technologies Plc | Methods and apparatus for forming apertures in a solid state membrane using dielectric breakdown |
EP3741452A1 (en) | 2015-05-20 | 2020-11-25 | Oxford Nanopore Inc. | Methods and apparatus for forming apertures in a solid state membrane using dielectric breakdown |
US10488365B2 (en) | 2015-06-17 | 2019-11-26 | Qualcomm Incorporated | Current sensors using bipolar transistors |
WO2016205310A1 (en) * | 2015-06-17 | 2016-12-22 | Qualcomm Incorporated | Current sensors using bipolar transistors |
WO2017098322A1 (en) | 2015-12-08 | 2017-06-15 | Katholieke Universiteit Leuven Ku Leuven Research & Development | Modified nanopores, compositions comprising the same, and uses thereof |
US10976300B2 (en) | 2015-12-08 | 2021-04-13 | Katholieke Universiteit Leuven | Modified nanopores, compositions comprising the same, and uses thereof |
EP4015531A2 (en) | 2016-03-02 | 2022-06-22 | Oxford Nanopore Technologies PLC | Mutant pore |
WO2017149316A1 (en) | 2016-03-02 | 2017-09-08 | Oxford Nanopore Technologies Limited | Mutant pore |
US11597970B2 (en) | 2016-03-02 | 2023-03-07 | Oxford Nanopore Technologies Plc | Mutant pores |
US10975428B2 (en) | 2016-03-02 | 2021-04-13 | Oxford Nanopore Technologies Ltd. | Mutant pore |
US11186868B2 (en) | 2016-03-02 | 2021-11-30 | Oxford Nanopore Technologies Plc | Mutant pore |
EP4019543A1 (en) | 2016-03-02 | 2022-06-29 | Oxford Nanopore Technologies plc | Mutant pore |
WO2017149318A1 (en) | 2016-03-02 | 2017-09-08 | Oxford Nanopore Technologies Limited | Mutant pores |
EP4019542A1 (en) | 2016-03-02 | 2022-06-29 | Oxford Nanopore Technologies plc | Mutant pores |
US10995372B2 (en) | 2016-03-02 | 2021-05-04 | Oxford Nanopore Technologies Ltd. | Mutant pores |
US12018326B2 (en) | 2016-03-02 | 2024-06-25 | Oxford Nanopore Technologies Plc | Mutant pore |
WO2017149317A1 (en) | 2016-03-02 | 2017-09-08 | Oxford Nanopore Technologies Limited | Mutant pore |
US11685949B2 (en) | 2016-03-02 | 2023-06-27 | Oxford Nanopore Technologies Plc | Mutant pore |
US11814676B2 (en) | 2016-03-30 | 2023-11-14 | Roche Sequencing Solutions, Inc. | Electrical enhancement of bilayer formation |
US11041198B2 (en) | 2016-03-30 | 2021-06-22 | Roche Sequencing Solutions, Inc. | Electrical enhancement of bilayer formation |
WO2017174990A1 (en) | 2016-04-06 | 2017-10-12 | Oxford Nanopore Technologies Limited | Mutant pore |
US11104709B2 (en) | 2016-04-06 | 2021-08-31 | Oxford Nanopore Technologies Ltd. | Mutant pore |
EP4122949A1 (en) | 2016-04-06 | 2023-01-25 | Oxford Nanopore Technologies plc | Mutant pore |
US11939359B2 (en) | 2016-04-06 | 2024-03-26 | Oxford Nanopore Technologies Plc | Mutant pore |
EP4397970A2 (en) | 2016-04-06 | 2024-07-10 | Oxford Nanopore Technologies PLC | Mutant pore |
EP4063521A1 (en) | 2016-05-25 | 2022-09-28 | Oxford Nanopore Technologies PLC | Method of nanopore sequencing |
US11649480B2 (en) | 2016-05-25 | 2023-05-16 | Oxford Nanopore Technologies Plc | Method for modifying a template double stranded polynucleotide |
US11596940B2 (en) | 2016-07-06 | 2023-03-07 | Oxford Nanopore Technologies Plc | Microfluidic device |
WO2018011603A1 (en) | 2016-07-14 | 2018-01-18 | Stefan Howorka | Membrane-spanning nanopores |
WO2018073604A1 (en) | 2016-10-21 | 2018-04-26 | Oxford Nanopore Technologies Limited | Method |
US11840556B2 (en) | 2017-02-10 | 2023-12-12 | Oxford Nanopore Technologies Plc | Modified nanopores, compositions comprising the same, and uses thereof |
WO2018146491A1 (en) | 2017-02-10 | 2018-08-16 | Oxford Nanopore Technologies Limited | Modified nanopores, compositions comprising the same, and uses thereof |
WO2018211241A1 (en) | 2017-05-04 | 2018-11-22 | Oxford Nanopore Technologies Limited | Transmembrane pore consisting of two csgg pores |
EP4397775A2 (en) | 2017-05-04 | 2024-07-10 | Oxford Nanopore Technologies PLC | Machine-learning analysis of nanopore measurements |
EP3892627A1 (en) | 2017-05-04 | 2021-10-13 | Oxford Nanopore Technologies Limited | Transmembrane pore consisting of two csgg pores |
US12024541B2 (en) | 2017-05-04 | 2024-07-02 | Oxford Nanopore Technologies Plc | Transmembrane pore consisting of two CsgG pores |
US12084477B2 (en) | 2017-06-30 | 2024-09-10 | Vib Vzw | Protein pores |
US11945840B2 (en) | 2017-06-30 | 2024-04-02 | Vib Vzw | Protein pores |
US11572387B2 (en) | 2017-06-30 | 2023-02-07 | Vib Vzw | Protein pores |
US12121894B2 (en) | 2017-11-29 | 2024-10-22 | Oxford Nanopore Technologies Plc | Microfluidic device |
US11725205B2 (en) | 2018-05-14 | 2023-08-15 | Oxford Nanopore Technologies Plc | Methods and polynucleotides for amplifying a target polynucleotide |
WO2019224558A1 (en) | 2018-05-24 | 2019-11-28 | Oxford Nanopore Technologies Limited | Method for selecting polynucleotides based on the size in a globular form |
CN112292462A (en) * | 2018-06-27 | 2021-01-29 | 豪夫迈·罗氏有限公司 | Multiplexing analog components in a biochemical sensor array |
WO2020049293A1 (en) | 2018-09-04 | 2020-03-12 | Oxford Nanopore Technologies Ltd | Method for determining a polymer sequence |
GB201818216D0 (en) | 2018-11-08 | 2018-12-26 | Oxford Nanopore Tech Ltd | Pore |
WO2020095052A1 (en) | 2018-11-08 | 2020-05-14 | Oxford Nanopore Technologies Limited | Pore |
WO2020109773A1 (en) | 2018-11-28 | 2020-06-04 | Oxford Nanopore Technologies Limited | Analysis of nanopore signal using a machine-learning technique |
WO2020128517A1 (en) | 2018-12-21 | 2020-06-25 | Oxford Nanopore Technologies Limited | Method of encoding data on a polynucleotide strand |
US11789006B2 (en) | 2019-03-12 | 2023-10-17 | Oxford Nanopore Technologies Plc | Nanopore sensing device, components and method of operation |
WO2020183172A1 (en) | 2019-03-12 | 2020-09-17 | Oxford Nanopore Technologies Inc. | Nanopore sensing device and methods of operation and of forming it |
WO2020188235A1 (en) | 2019-03-19 | 2020-09-24 | Oxford Nanopore Technologies Limited | Current measurement apparatus, molecular entity sensing apparatus, method of measuring a current, method of sensing a molecular entity |
US11994486B2 (en) | 2019-03-19 | 2024-05-28 | Oxford Nanopore Technologies Plc | Current measurement apparatus, molecular entity sensing apparatus, method of measuring a current, method of sensing a molecular entity |
WO2020208357A1 (en) | 2019-04-09 | 2020-10-15 | Oxford Nanopore Technologies Limited | Pore |
GB201907244D0 (en) | 2019-05-22 | 2019-07-03 | Oxford Nanopore Tech Ltd | Method |
GB201907246D0 (en) | 2019-05-22 | 2019-07-03 | Oxford Nanopore Tech Ltd | Method |
CN113874726A (en) * | 2019-05-22 | 2021-12-31 | 牛津纳米孔科技公开有限公司 | Sensing interactions between molecular entities and nanopores |
WO2020234595A1 (en) | 2019-05-22 | 2020-11-26 | Oxford Nanopore Technologies Limited | Sensing interactions between molecular entities and nanopores |
WO2020234612A1 (en) | 2019-05-22 | 2020-11-26 | Oxford Nanopore Technologies Limited | Method |
GB201917060D0 (en) | 2019-11-22 | 2020-01-08 | Oxford Nanopore Tech Ltd | Method |
WO2021099801A1 (en) | 2019-11-22 | 2021-05-27 | Oxford Nanopore Technologies Limited | Method for double strand sequencing |
EP4270008A2 (en) | 2019-12-02 | 2023-11-01 | Oxford Nanopore Technologies PLC | Method of characterising a target polypeptide using a nanopore |
WO2021111125A1 (en) | 2019-12-02 | 2021-06-10 | Oxford Nanopore Technologies Limited | Method of characterising a target polypeptide using a nanopore |
WO2021111139A1 (en) | 2019-12-04 | 2021-06-10 | Oxford Nanopore Technologies Limited | Method |
WO2021198695A1 (en) | 2020-04-03 | 2021-10-07 | King's College London | Method of detecting an analyte in a medium comprising a light scattering constituent |
GB202004944D0 (en) | 2020-04-03 | 2020-05-20 | King S College London | Method |
WO2021255414A1 (en) | 2020-06-17 | 2021-12-23 | Oxford Nanopore Technologies Limited | Nanopore support structure and manufacture thereof |
WO2021255477A1 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | Method of repeatedly moving a double-stranded polynucleotide through a nanopore |
WO2021255475A1 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | A method of selectively characterising a polynucleotide using a detector |
WO2021255476A2 (en) | 2020-06-18 | 2021-12-23 | Oxford Nanopore Technologies Limited | Method |
WO2022013551A1 (en) | 2020-07-17 | 2022-01-20 | Oxford Nanopore Technologies Limited | Nanopore sensing device |
WO2022020461A1 (en) | 2020-07-22 | 2022-01-27 | Oxford Nanopore Technologies Inc. | Solid state nanopore formation |
WO2022074397A1 (en) | 2020-10-08 | 2022-04-14 | Oxford Nanopore Technologies Limited | Modification of a nanopore forming protein oligomer |
WO2022243691A1 (en) | 2021-05-19 | 2022-11-24 | Oxford Nanopore Technologies Plc | Multiplex methods of detecting molecules using nanopores |
GB202107192D0 (en) | 2021-05-19 | 2021-06-30 | Oxford Nanopore Tech Ltd | Method |
GB202107354D0 (en) | 2021-05-24 | 2021-07-07 | Oxford Nanopore Tech Ltd | Method |
WO2023094806A1 (en) | 2021-11-29 | 2023-06-01 | Oxford Nanopore Technologies Plc | Nanopore measurement signal analysis |
WO2023118892A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Method |
WO2023118891A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Method of characterising polypeptides using a nanopore |
WO2023118404A1 (en) | 2021-12-23 | 2023-06-29 | Oxford Nanopore Technologies Plc | Pore |
WO2023161625A1 (en) | 2022-02-28 | 2023-08-31 | Oxford Nanopore Technologies Plc | Apparatus and methods for controlling insertion of a membrane channel into a membrane |
GB2616856B (en) * | 2022-03-21 | 2024-07-10 | Oxford Nanopore Tech Plc | Calibration and profiling of a nanopore array device |
GB2616856A (en) * | 2022-03-21 | 2023-09-27 | Oxford Nanopore Tech Plc | Calibration and profiling of a nanopore array device |
WO2023198911A2 (en) | 2022-04-14 | 2023-10-19 | Oxford Nanopore Technologies Plc | Novel modified protein pores and enzymes |
WO2023222657A1 (en) | 2022-05-17 | 2023-11-23 | Oxford Nanopore Technologies Plc | Method and adaptors |
WO2023222994A1 (en) | 2022-05-18 | 2023-11-23 | Oxford Nanopore Technologies Plc | Calibration of a nanopore array device |
WO2024033422A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024033447A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | De novo pores |
WO2024033443A1 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024033421A2 (en) | 2022-08-09 | 2024-02-15 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024084211A1 (en) | 2022-10-19 | 2024-04-25 | Oxford Nanopore Technologies Plc | Analysis of a polymer |
WO2024089270A2 (en) | 2022-10-28 | 2024-05-02 | Oxford Nanopore Technologies Plc | Pore monomers and pores |
WO2024094986A1 (en) | 2022-10-31 | 2024-05-10 | Oxford Nanopore Technologies Plc | Method |
WO2024100270A1 (en) | 2022-11-11 | 2024-05-16 | Oxford Nanopore Technologies Plc | Novel pore monomers and pores |
WO2024156993A1 (en) | 2023-01-25 | 2024-08-02 | Oxford Nanopore Technologies Plc | Calibration of a nanopore array device |
WO2024180331A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180332A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180329A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
WO2024180330A1 (en) | 2023-02-27 | 2024-09-06 | Oxford Nanopore Technologies Plc | Nanopore sensor device |
DE102023201963B3 (en) | 2023-03-03 | 2024-06-13 | Hahn-Schickard-Gesellschaft für angewandte Forschung e.V. | Readout circuit for reading electrical currents of 10nA and/or less and use of a readout circuit and method for reading the readout circuit |
WO2024184242A1 (en) | 2023-03-03 | 2024-09-12 | Hahn-Schickard-Gesellschaft für angewandte Forschung e.V. | Read-out circuit for reading out electric currents of10na and/or less, use of a read-out circuit, and method for reading out the read-out circuit |
WO2024200280A1 (en) | 2023-03-24 | 2024-10-03 | Oxford Nanopore Technologies Plc | Method and kits |
GB202307486D0 (en) | 2023-05-18 | 2023-07-05 | Oxford Nanopore Tech Plc | Method |
GB202407228D0 (en) | 2024-05-21 | 2024-07-03 | Oxford Nanopore Tech Plc | Method |
Also Published As
Publication number | Publication date |
---|---|
DK2422198T3 (en) | 2014-01-06 |
CN102405410A (en) | 2012-04-04 |
BRPI1012752A2 (en) | 2016-04-05 |
EP2422198B1 (en) | 2013-09-25 |
US8828208B2 (en) | 2014-09-09 |
AU2010240670B2 (en) | 2015-08-20 |
EP2422198A1 (en) | 2012-02-29 |
BRPI1012752B1 (en) | 2019-06-25 |
CA2758617C (en) | 2017-10-03 |
JP2012524284A (en) | 2012-10-11 |
AU2010240670A1 (en) | 2011-11-03 |
JP5781502B2 (en) | 2015-09-24 |
CN102405410B (en) | 2014-06-25 |
CA2758617A1 (en) | 2010-10-28 |
KR20110138286A (en) | 2011-12-26 |
US20120133354A1 (en) | 2012-05-31 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
AU2010240670B2 (en) | Lipid bilayer sensor array | |
US10962523B2 (en) | Apparatus and methods for measuring an electrical current | |
US11988659B2 (en) | Nanopore arrays | |
US10330633B2 (en) | System for communicating information from an array of sensors | |
US11892444B2 (en) | Formation and calibration of nanopore sequencing cells | |
EP3234561B1 (en) | Nanopore-based sequencing with varying voltage stimulus | |
US20190367977A1 (en) | High speed molecular sensing with nanopores | |
US11377686B2 (en) | DNA sequencing via direct electrical detection with free single nucleotide pairing with polymerase | |
WO2023161625A1 (en) | Apparatus and methods for controlling insertion of a membrane channel into a membrane |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
WWE | Wipo information: entry into national phase |
Ref document number: 201080017555.7 Country of ref document: CN |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 10716404 Country of ref document: EP Kind code of ref document: A1 |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2758617 Country of ref document: CA |
|
WWE | Wipo information: entry into national phase |
Ref document number: 8028/DELNP/2011 Country of ref document: IN |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2012506560 Country of ref document: JP |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2010240670 Country of ref document: AU Date of ref document: 20100419 Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 2010716404 Country of ref document: EP |
|
ENP | Entry into the national phase |
Ref document number: 20117027399 Country of ref document: KR Kind code of ref document: A |
|
WWE | Wipo information: entry into national phase |
Ref document number: 13265448 Country of ref document: US |
|
REG | Reference to national code |
Ref country code: BR Ref legal event code: B01A Ref document number: PI1012752 Country of ref document: BR |
|
ENP | Entry into the national phase |
Ref document number: PI1012752 Country of ref document: BR Kind code of ref document: A2 Effective date: 20111019 |