Real-time luminescence enables continuous drug-response analysis in adherent and suspension cell lines.
Real-time luminescence enables continuous drug-response analysis in adherent and suspension cell lines.
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DOI：
10.1080/15384047.2022.2065182
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发表时间：
2022-12-31
影响因子：
3.6
通讯作者：
Quaranta, Vito
中科院分区：
文献类型：
--
作者：
Wandishin, Clayton M.;Robbins, Charles John;Tyson, Darren R.;Harris, Leonard A.;Quaranta, Vito
关键词：
药物诱导增殖率(DIP)是一种体外药物反应的指标，它避免了常用指标(如72小时存活率)中的固有偏见。然而，DIP速率测量依赖于随着时间的推移直接进行细胞计数，这是一项艰巨的任务，受到许多挑战，包括需要对细胞进行荧光标记和自动分割细胞核。此外，直接计数细胞和准确测量悬浮液中细胞群体的沉降率是极其困难的。作为另一种选择，我们使用来自NAD(P)H氧化还原酶细胞活性的实时发光测量来有效地估计贴壁细胞和悬浮细胞群体对一组已知抗癌药物的药物反应。对于贴壁的细胞系，我们同时收集发光读数和直接细胞计数，以评估它们的一致性。我们的结果表明，提出的方法显著加快了数据收集速度，避免了对细胞标记和图像分割的需要，并为高通量筛选抗癌药物打开了大门。
The drug-induced proliferation (DIP) rate is a metric of in vitro drug response that avoids inherent biases in commonly used metrics such as 72 h viability. However, DIP rate measurements rely on direct cell counting over time, a laborious task that is subject to numerous challenges, including the need to fluorescently label cells and automatically segment nuclei. Moreover, it is incredibly difficult to directly count cells and accurately measure DIP rates for cell populations in suspension. As an alternative, we use real-time luminescence measurements derived from the cellular activity of NAD(P)H oxidoreductase to efficiently estimate drug response in both adherent and suspension cell populations to a panel of known anticancer agents. For the adherent cell lines, we collect both luminescence reads and direct cell counts over time simultaneously to assess their congruency. Our results demonstrate that the proposed approach significantly speeds up data collection, avoids the need for cellular labels and image segmentation, and opens the door to significant advances in high-throughput screening of anticancer drugs.
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DOI：
10.1016/s1387-2656(05)11004-7
发表时间：
2005-01-01
期刊：
BIOTECHNOLOGY ANNUAL REVIEW, VOL 11
影响因子：
--
作者：
Berridge, MV;Herst, PM;Tan, AS
通讯作者：
Tan, AS
影响因子：
3.7
作者：
Hsieh JH;Huang R;Lin JA;Sedykh A;Zhao J;Tice RR;Paules RS;Xia M;Auerbach SS
通讯作者：
Auerbach SS
影响因子：
16.2
作者：
CORY, AH;OWEN, TC;CORY, JG
通讯作者：
CORY, JG
DOI：
10.1073/pnas.1008322108
发表时间：
2011-01-25
影响因子：
11.1
作者：
Yusa, Kosuke;Zhou, Liqin;Craig, Nancy L.
通讯作者：
Craig, Nancy L.
影响因子：
64.8
作者：
Garnett, Mathew J.;Edelman, Elena J.;Heidorn, Sonja J.;Greenman, Chris D.;Dastur, Anahita;Lau, King Wai;Greninger, Patricia;Thompson, I. Richard;Luo, Xi;Soares, Jorge;Liu, Qingsong;Iorio, Francesco;Surdez, Didier;Chen, Li;Milano, Randy J.;Bignell, Graham R.;Tam, Ah T.;Davies, Helen;Stevenson, Jesse A.;Barthorpe, Syd;Lutz, Stephen R.;Kogera, Fiona;Lawrence, Karl;McLaren-Douglas, Anne;Mitropoulos, Xeni;Mironenko, Tatiana;Thi, Helen;Richardson, Laura;Zhou, Wenjun;Jewitt, Frances;Zhang, Tinghu;O'Brien, Patrick;Boisvert, Jessica L.;Price, Stacey;Hur, Wooyoung;Yang, Wanjuan;Deng, Xianming;Butler, Adam;Choi, Hwan Geun;Chang, JaeWon;Baselga, Jose;Stamenkovic, Ivan;Engelman, Jeffrey A.;Sharma, Sreenath V.;Delattre, Olivier;Saez-Rodriguez, Julio;Gray, Nathanael S.;Settleman, Jeffrey;Futreal, P. Andrew;Haber, Daniel A.;Stratton, Michael R.;Ramaswamy, Sridhar;McDermott, Ultan;Benes, Cyril H.
通讯作者：
Benes, Cyril H.