High-throughput secondary screening at the single-cell level.
High-throughput secondary screening at the single-cell level.
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DOI：
10.1177/2211068212456978
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发表时间：
2013-02
期刊：
影响因子：
--
通讯作者：
Qualls CW Jr
中科院分区：
文献类型：
--
作者：
Robinson JP;Patsekin V;Holdman C;Ragheb K;Sturgis J;Fatig R;Avramova LV;Rajwa B;Davisson VJ;Lewis N;Narayanan P;Li N;Qualls CW Jr
我们开发了一种使用单细胞多功能反应技术进行药物筛选的自动化系统。该方法采用半自动制备系统、高速样品采集和独特的分析工具，可使用 384 孔板提供化合物稀释的即时结果。自动化和快速机器人采样的结合提高了质量控制和稳健性。高速流式细胞术用于收集单细胞结果，并结合新定义的分析工具来提取每个细胞多次检测的 IC50 曲线。主要优点是样品采集速度极快，384 孔板的结果采集和数据处理只需不到 10 分钟。使用这种方法，可以以高度受控的方式提取详细的药物反应信息。这些数据基于单细胞结果，而不是群体。通过同时测定不同的功能，可以更详细地了解每种药物/化合物的相互作用。结合直接来自原始数据文件的集成高级数据处理，从采样到分析结果的过程非常直观。直接 PubMed 链接允许审查药物结构并与类似化合物进行比较。
We have developed an automated system for drug screening using a single-cell–multiple functional response technology. The approach uses a semiautomated preparatory system, high-speed sample collection, and a unique analytical tool that provides instantaneous results for compound dilutions using 384-well plates. The combination of automation and rapid robotic sampling increases quality control and robustness. High-speed flow cytometry is used to collect single-cell results together with a newly defined analytical tool for extraction of IC50 curves for multiple assays per cell. The principal advantage is the extreme speed of sample collection, with results from a 384-well plate being completed for both collection and data processing in less than 10 min. Using this approach, it is possible to extract detailed drug response information in a highly controlled fashion. The data are based on single-cell results, not populations. With simultaneous assays for different functions, it is possible to gain a more detailed understanding of each drug/compound interaction. Combined with integrated advanced data processing directly from raw data files, the process from sampling to analytical results is highly intuitive. Direct PubMed links allow review of drug structure and comparisons with similar compounds.
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影响因子：
--
作者：
Finak G;Bashashati A;Brinkman R;Gottardo R
通讯作者：
Gottardo R
DOI：
10.1007/978-1-61737-950-5_2
发表时间：
2011-01-01
期刊：
FLOW CYTOMETRY PROTOCOLS, THIRD EDITION
影响因子：
--
作者：
Bagwell, C. Bruce
通讯作者：
Bagwell, C. Bruce
影响因子：
2.7
作者：
Dogan, AL;Legrand, O;Marie, JP
通讯作者：
Marie, JP
DOI：
10.1073/pnas.77.5.2936
发表时间：
1980-01-01
期刊：
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES
影响因子：
--
作者：
BREITMAN, TR;SELONICK, SE;COLLINS, SJ
通讯作者：
COLLINS, SJ
DOI：
10.1073/pnas.75.5.2458
发表时间：
1978-01-01
影响因子：
11.1
作者：
COLLINS, SJ;RUSCETTI, FW;GALLO, RC
通讯作者：
GALLO, RC