JP2016537643A - 質量タグ及び二次イオン質量分析計を用いた組織の多重化イメージング - Google Patents
質量タグ及び二次イオン質量分析計を用いた組織の多重化イメージング Download PDFInfo
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Abstract
Description
本願は、2013年9月13日に出願された米国仮特許出願第61/877,733号、及び2014年3月26日に出願された米国仮特許出願第61/970,803号の利益を主張するものであり、これらの出願は、参照によりその全体が本明細書に組み込まれる。
本発明は、アメリカ国立衛生研究所により与えられた契約番号CA034233、AI057229、CA130826、EY018228、HHSN272200700038C、1K99 GM104148−01の下での政府支援に基づいてなされたものである。米国政府は、本発明に一定の権利を有するものである。
本明細書で他に断らない限り、本明細書で使用される全ての技術及び科学上の用語は、本発明が属する分野の当業者により通常理解されるものと同様の意味を持つ。本明細書に記載の方法及び材料と同様のまたは同等の方法及び材料を、本発明の実施または試験のために使用することができるが、好ましい方法及び材料が本明細書に記載される。
試料を分析するシステムも提供する。このシステムは、a)試料を含む基板を保持するホルダを含む二次イオン質量分析法(SIMS)システムであって、(i)試料を一次イオンビーム(例えば、酸素、セシウム、金、アルゴン、ビスマス、キセノン、C60、SF6、またはガリウムイオン、またはその任意の混合物、例えば、酸素とキセノンイオンの混合物ビーム)で走査し、試料に結合されている特異的結合試薬の質量特異的存在量の測定値を含むデータセットを生成し、(ii)データセットを出力するように構成さるシステム、及び、b)データセットを処理して試料の画像を生成する画像分析モジュールを含むコンピュータを具備していてもよい。ホルダは、走査しやすくするために少なくともx及びy方向(試料の平面内である)に制御可能に移動する(例えば、段付けされるかまたは連続的に移動する)ことが可能な可動ステージ内にある。画像分析モジュールは、上述の方法の多くのステップを行うようにプログラミングすることができる。例えば、いくつかの実施形態では、画像分析モジュールは、画像を分割して、個別細胞の境界、必要に応じて、個別細胞の細胞内特徴を画像内で識別してもよい。場合によっては、画像分析モジュールは、画像内の個別細胞の各々またはその細胞内特徴のデータを統合し、必要に応じて、細胞の各々について得られた統合データに基づいて、個別細胞をカテゴリー分けしてもよい。画像分析モジュールは、組織試料の画像を表示してもよく、細胞及び/またはその細胞内特徴は、それらのカテゴリーによって色分けされる。上述したように、画像のいずれの1つのピクセルにおいても、ピクセルの色の強度は、SIMSシステムによって得られたそのピクセルについて得られた信号の大きさと相関している。特定の実施形態では、システムは、四重極、次いでイオンパルサー、次いで飛行時間(TOF)管と結合しているDCイオン源(即ち、動的ソース)を含んでいてもよい。SIMSシステムは、動的または静的であってもよい。NanoSIMSは、高出力のDC一次イオン源を用いるので動的とみなされ、NanoTOFは、低出力パルス源を用いるので静的とみなされる。
上述の方法を用いて、対象からの細胞を分析し、例えば、細胞が正常であるかどうかを判定し、または細胞が治療に応答しているかどうか判定することができる。一実施形態では、本方法を用いて、がん細胞の異形成の度合いを判定してもよい。これらの実施形態では、細胞は、多細胞生物または微生物からの試料であってもよい。生物学的試料は、個体(例えば軟組織もしくは体液)から、またはインビトロで増殖された細胞培養物から単離してもよい。生物学的試料は、脳、副腎、皮膚、肺、脾臓、腎臓、肝臓、脾臓、リンパ節、骨髄、膀胱、胃、小腸、大腸また筋肉等などの軟組織から作ることができる。体液には、血液、血漿、唾液、粘液、痰、脳脊髄液、胸膜液、涙液、乳糜管液、リンパ液、喀痰、脳脊髄液、滑液、尿、羊水、及び精液等が含まれる。生物学的試料には、インビトロでの培養下で増殖された細胞が含まれる。細胞は、組織生検、擦り取った細胞または洗浄細胞の細胞であってもよい。特定の実施形態では、細胞は、ホルマリン固定パラフィン包埋(FFPE)試料中の細胞であってもよい。特定の場合では、本方法を用いて、FFPE試料中の異なる種類のがん細胞を区別してもよい。
基板調製:シリコンウェーハ(Silicon Valley Microelectronics)を18mm2片に角切りにし、メタノールで2回濯ぎ、綿先端アプリケーターで研磨した。次いで、洗浄した基板を2%ポリ−l−リシン溶液(Sigma−Aldrich)に10分間浸し、60℃で1時間焼成した。
抗体:抗体、レポーター同位体、及び濃度の要約が、下の表S1に見出される。製造者推奨のプロトコルに従って、MaxPAR抗体結合キット(DVS Sciences、Toronto、Canada)を用いて金属結合一次抗体を一度につき100μgで調製した。標識後、抗体をCandor PBS抗体安定化溶液(Candor Bioscience GmbH、Wangen、Germa血球発現)で0.4mg/mLに希釈し、4℃で長期保存した。
MIBIの性能評価:MIBIのワークフローは、免疫蛍光(IF)及び発色IHCアッセイと比較可能である(図1)。フルオロフォアまたは酵素結合試薬の代わりに、生物学的標本を、同位体的に純粋で安定的なランタニドに結合した一次抗体とともにインキュベートする(図1)。一次抗体は、標本との同時インキュベーションのために、溶液中で混合される。MIBI用に調製した標本を試料ホルダにマウントし、ラスタライズ化された酸素デュオプラズマトロン一次イオンビームに曝した。このイオンビームが試料に衝突することで、結合抗体のランタニド付加物を二次イオンとして遊離させる。この試験では、二次イオンを複数の光電子増倍管を備えた磁場型質量分析計を介して次に分析し、複数のランタニド同位体(質量ベースレポーター)を並列検出させる。得られたデータは、各ランタニドの元素分布、したがって、各抗体とその対応しているエピトープの二次元マップを生成する。
Claims (24)
- 細胞及び細胞外構造を含む試料の高分解能二次元画像の生成方法であって、
試料を少なくとも1つの質量タグで標識することで、対象とする生物学的特徴が前記少なくとも1つの質量タグに結合されている標識試料を生成することと、
前記試料を二次イオン質量分析計(SIMS)イオンビームで走査して、前記試料の領域にわたって前記少なくとも1つの質量タグの存在量を空間的にアドレス可能な測定値を含むデータセットを生成することと、
前記データセットを出力することと、
を含む、方法。 - 前記少なくとも1つの質量タグが、複数の識別可能な質量タグであり、前記データセットが、前記複数の質量タグの各々の存在量の識別及び空間的にアドレス可能な測定値を含む、請求項1に記載の方法。
- 前記データセットが、前記質量タグの識別及び存在量を含む、請求項1〜2のいずれか1項に記載の方法。
- 前記標識するステップが、前記試料を少なくとも2つの異なる質量タグで標識することを含む、請求項1〜3のいずれか1項に記載の方法。
- 前記標識することが、前記質量タグと結合している抗体を用いて行われる、請求項1〜4のいずれか1項に記載の方法。
- 前記標識することが、前記質量タグを動物対象に投与し、前記対象から前記試料を得ることで行われる、請求項1〜5のいずれか1項に記載の方法。
- 前記試料が、ホルマリン固定パラフィン包埋(FFPE)切片である、請求項1〜6のいずれか1項に記載の方法。
- 前記質量タグが、21〜92の範囲の原子番号を有する元素の同位体である、請求項1〜7のいずれか1項に記載の方法。
- 前記元素がランタニドである、請求項8に記載の方法。
- 前記方法が、前記データセットから前記試料の画像を構築することを含む、請求項1〜9のいずれか1項に記載の方法。
- 前記画像が、少なくとも500nmの分解能を有する、請求項10に記載の方法。
- 個別細胞の境界、及び必要に応じて、個別細胞の細胞内特徴を前記画像内で規定する、請求項10に記載の方法。
- 前記画像内の前記個別細胞の各々またはその細胞内特徴に対応するデータを統合することをさらに含む、請求項11に記載の方法。
- 前記細胞を、前記細胞の各々またはその細胞内特徴について得られた前記統合データに基づいてカテゴリー分けすることをさらに含む、請求項13に記載の方法。
- 前記試料の画像を表示することをさらに含み、前記細胞が、それらのカテゴリーによって色分けされる、請求項14に記載の方法。
- 前記画像のいずれか1つのピクセルにおいて、前記ピクセルの色の強度が、前記走査によって得られたそのピクセルについて得られた信号の大きさと相関する、請求項15に記載の方法。
- 前記組織試料を導電性基板にマウントする、請求項1〜16のいずれか1項に記載の方法。
- 前記イオンビームを前記試料の上にラスタライズする、請求項1〜17のいずれか1項に記載の方法。
- 細胞を含む試料を分析するためのシステムであって、
a)試料を含む基板を保持するホルダを含む二次イオン質量分析法(SIMS)システムであって、(i)前記試料をSIMSイオンビームで走査し、前記試料の領域に結合されている質量タグの存在量の空間的にアドレス可能な測定値を含むデータセットを生成し、(ii)前記データセットを出力するように構成されるシステム、及び
b)前記データセットを処理して前記細胞の画像を生成する画像分析モジュールを含むコンピュータ、
を具備する、システム。 - 前記画像分析モジュールが、個別細胞の境界、及び必要に応じて、個別細胞の細胞内特徴を前記画像内で規定する、請求項19に記載のシステム。
- 前記画像分析モジュールが、前記画像内の前記個別細胞の各々またはその細胞内特徴のデータを統合する、請求項20に記載のシステム。
- 前記画像分析モジュールが、前記細胞の各々について得られた前記統合データに基づいて、前記個別細胞をカテゴリー分けする、請求項21に記載のシステム。
- 前記画像分析モジュールが、前記試料の画像を表示し、前記細胞が、それらのカテゴリーによって色分けされる、請求項22に記載のシステム。
- 前記画像のいずれか1つのピクセルにおいて、前記ピクセルの色の強度が、前記SIMSシステムによって得られたそのピクセルについて得られた信号の大きさと相関する、請求項23に記載のシステム。
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JP2019215349A (ja) | 2019-12-19 |
US20150080233A1 (en) | 2015-03-19 |
EP3570037A1 (en) | 2019-11-20 |
EP3043891A1 (en) | 2016-07-20 |
EP3043891A4 (en) | 2017-04-12 |
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AU2014318698B2 (en) | 2019-10-24 |
EP3043891B1 (en) | 2019-01-16 |
AU2022202132A1 (en) | 2022-04-14 |
AU2014318698A1 (en) | 2016-04-14 |
CA2924284C (en) | 2022-01-04 |
AU2020200535A1 (en) | 2020-02-13 |
CN105658310A (zh) | 2016-06-08 |
WO2015038784A1 (en) | 2015-03-19 |
EP3570037B1 (en) | 2024-10-09 |
JP6546177B2 (ja) | 2019-07-17 |
JP2023011554A (ja) | 2023-01-24 |
JP7499566B2 (ja) | 2024-06-14 |
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