CN101120099B - 使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达的方法 - Google Patents

使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达的方法 Download PDF

Info

Publication number
CN101120099B
CN101120099B CN2005800478328A CN200580047832A CN101120099B CN 101120099 B CN101120099 B CN 101120099B CN 2005800478328 A CN2005800478328 A CN 2005800478328A CN 200580047832 A CN200580047832 A CN 200580047832A CN 101120099 B CN101120099 B CN 101120099B
Authority
CN
China
Prior art keywords
section
sirna
bound energy
value
dsrna
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN2005800478328A
Other languages
English (en)
Chinese (zh)
Other versions
CN101120099A (zh
Inventor
崔泳哲
朴翰浯
郑素林
金永柱
金尚洙
朴城敏
金相喆
尹圭晚
崔庆玉
姜孝晋
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Bioneer Corp
Original Assignee
Bioneer Corp
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bioneer Corp filed Critical Bioneer Corp
Publication of CN101120099A publication Critical patent/CN101120099A/zh
Application granted granted Critical
Publication of CN101120099B publication Critical patent/CN101120099B/zh
Anticipated expiration legal-status Critical
Expired - Fee Related legal-status Critical Current

Links

Images

Classifications

    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/11—DNA or RNA fragments; Modified forms thereof; Non-coding nucleic acids having a biological activity
    • C12N15/111—General methods applicable to biologically active non-coding nucleic acids
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N15/00—Mutation or genetic engineering; DNA or RNA concerning genetic engineering, vectors, e.g. plasmids, or their isolation, preparation or purification; Use of hosts therefor
    • C12N15/09—Recombinant DNA-technology
    • C12N15/11—DNA or RNA fragments; Modified forms thereof; Non-coding nucleic acids having a biological activity
    • C12N15/113—Non-coding nucleic acids modulating the expression of genes, e.g. antisense oligonucleotides; Antisense DNA or RNA; Triplex- forming oligonucleotides; Catalytic nucleic acids, e.g. ribozymes; Nucleic acids used in co-suppression or gene silencing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20—Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00—ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/50—Mutagenesis
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N2310/00—Structure or type of the nucleic acid
    • C12N2310/10—Type of nucleic acid
    • C12N2310/14—Type of nucleic acid interfering nucleic acids [NA]
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12N—MICROORGANISMS OR ENZYMES; COMPOSITIONS THEREOF; PROPAGATING, PRESERVING, OR MAINTAINING MICROORGANISMS; MUTATION OR GENETIC ENGINEERING; CULTURE MEDIA
    • C12N2320/00—Applications; Uses
    • C12N2320/10—Applications; Uses in screening processes
    • C12N2320/11—Applications; Uses in screening processes for the determination of target sites, i.e. of active nucleic acids

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Genetics & Genomics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biomedical Technology (AREA)
  • Physics & Mathematics (AREA)
  • Biotechnology (AREA)
  • Chemical & Material Sciences (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Zoology (AREA)
  • Wood Science & Technology (AREA)
  • Organic Chemistry (AREA)
  • General Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Analytical Chemistry (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Microbiology (AREA)
  • Plant Pathology (AREA)
  • Biochemistry (AREA)
  • Pharmaceuticals Containing Other Organic And Inorganic Compounds (AREA)
  • Medicines That Contain Protein Lipid Enzymes And Other Medicines (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
CN2005800478328A 2004-12-08 2005-12-08 使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达的方法 Expired - Fee Related CN101120099B (zh)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
KR10-2004-0103283 2004-12-08
KR1020040103283 2004-12-08
KR20040103283 2004-12-08
PCT/KR2005/004207 WO2006062369A1 (en) 2004-12-08 2005-12-08 Method of inhibiting expression of target mrna using sirna consisting of nucleotide sequence complementary to said target mrna

Publications (2)

Publication Number Publication Date
CN101120099A CN101120099A (zh) 2008-02-06
CN101120099B true CN101120099B (zh) 2010-12-15

Family

ID=36578152

Family Applications (1)

Application Number Title Priority Date Filing Date
CN2005800478328A Expired - Fee Related CN101120099B (zh) 2004-12-08 2005-12-08 使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达的方法

Country Status (6)

Country Link
US (1) US20090155904A1 (enExample)
EP (1) EP1828415A4 (enExample)
JP (1) JP4672021B2 (enExample)
KR (1) KR101007346B1 (enExample)
CN (1) CN101120099B (enExample)
WO (1) WO2006062369A1 (enExample)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
MX2015014666A (es) 2013-04-17 2016-03-01 Pfizer Derivados de n-piperidin-3-ilbenzamida para tratar enfermedades cardiovasculares.
CN105176999A (zh) * 2015-08-13 2015-12-23 吉林大学 抑制survivin基因表达的双链siRNA、其应用及包含其的表达质粒及传递体
CN105063048A (zh) * 2015-08-13 2015-11-18 吉林大学 一种抑制Survivin基因表达的siRNA及其应用
CN112951322B (zh) * 2021-03-08 2023-09-26 深圳市新合生物医疗科技有限公司 一种基于网格搜索的规则权重分配siRNA设计方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1427008A (zh) * 2001-12-14 2003-07-02 殷冬生 设计与选择天然的siRNA作为基因药物的方法及药物配方

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040002083A1 (en) * 2002-01-29 2004-01-01 Ye Ding Statistical algorithms for folding and target accessibility prediction and design of nucleic acids
DK2284266T3 (da) * 2002-11-14 2014-01-13 Thermo Fisher Scient Biosciences Inc sIRNA-MOLEKYLE MOD TP53

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1427008A (zh) * 2001-12-14 2003-07-02 殷冬生 设计与选择天然的siRNA作为基因药物的方法及药物配方

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Ola Snove Jr. et al.Designing effective siRNAs with off-target control.Biochemical and Biophysical Research Communications325.2004,325769-773. *
Weiping Chen et al.A computer program for the optimal design of short interferingRNA(siRNA) for gene silencing.Proceedings of the 17th IEEE symposium on Computer-Based Medical Systems.2004,335-342. *

Also Published As

Publication number Publication date
WO2006062369A1 (en) 2006-06-15
JP4672021B2 (ja) 2011-04-20
US20090155904A1 (en) 2009-06-18
EP1828415A4 (en) 2009-07-01
KR20070094601A (ko) 2007-09-20
EP1828415A1 (en) 2007-09-05
CN101120099A (zh) 2008-02-06
JP2008522613A (ja) 2008-07-03
KR101007346B1 (ko) 2011-01-13

Similar Documents

Publication Publication Date Title
Ichihara et al. Thermodynamic instability of siRNA duplex is a prerequisite for dependable prediction of siRNA activities
Townshend et al. High-throughput cellular RNA device engineering
Sætrom et al. A comparison of siRNA efficacy predictors
Alexiou et al. Lost in translation: an assessment and perspective for computational microRNA target identification
Xu et al. Merging microarray data from separate breast cancer studies provides a robust prognostic test
Yang et al. A clustering-based approach for efficient identification of microRNA combinatorial biomarkers
CN105808976B (zh) 一种基于推荐模型的miRNA靶基因预测方法
Kimmel et al. Integrating mathematical modeling with high-throughput imaging explains how polyploid populations behave in nutrient-sparse environments
CN101120099B (zh) 使用由互补于靶mRNA的核苷酸序列组成的siRNA抑制靶mRNA表达的方法
Chen et al. ncDENSE: a novel computational method based on a deep learning framework for non-coding RNAs family prediction
Feng et al. Gene Selection and Classification of scRNA‐seq Data Combining Information Gain Ratio and Genetic Algorithm with Dynamic Crossover
Pan et al. siPRED: predicting siRNA efficacy using various characteristic methods
Zheng et al. SPRDA: a matrix completion approach based on the structural perturbation to infer disease-associated Piwi-Interacting RNAs
US20140088937A1 (en) Methods of Predicting The Probability of Modulation of Transcript Levels By RNAI Compounds
Sun et al. Prediction of miRNAs and diseases association based on sparse autoencoder and MLP
Liang et al. mirAct: a web tool for evaluating microRNA activity based on gene expression data
Liu et al. ReCGBM: a gradient boosting-based method for predicting human dicer cleavage sites
Wang et al. An approach to identify individual functional single nucleotide polymorphisms and isoform MicroRNAs
Fang et al. Mining of microRNA expression data—a rough set approach
Ni et al. Correlation between sequence conservation and structural thermodynamics of microRNA precursors from human, mouse, and chicken genomes
Golabi et al. Development of a new sequential block finding strategy for detection of conserved sequences in riboswitches
Zhou et al. REMR: Identification of RNA Editing-mediated MiRNA Regulation in Cancers
Kim et al. Exploring molecular links between lymph node invasion and cancer prognosis in human breast cancer
Seffens Models of RNA Interaction from Experimental
Liu et al. ScnML models single-cell transcriptome to predict spinal cord neuronal cell status

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20101215

Termination date: 20171208

CF01 Termination of patent right due to non-payment of annual fee