Multiplexed live-cell profiling with Raman probes.
Multiplexed live-cell profiling with Raman probes.
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使用拉曼探针进行多重活细胞分析。
DOI:
10.1038/s41467-021-23700-0
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发表时间:
2021-06-07
影响因子:
16.6
通讯作者:
Min W
中科院分区:
文献类型:
--
作者:
Chen C;Zhao Z;Qian N;Wei S;Hu F;Min W
Single-cell multiparameter measurement has been increasingly recognized as a key technology toward systematic understandings of complex molecular and cellular functions in biological systems. Despite extensive efforts in analytical techniques, it is still generally challenging for existing methods to decipher a large number of phenotypes in a single living cell. Herein we devise a multiplexed Raman probe panel with sharp and mutually resolvable Raman peaks to simultaneously quantify cell surface proteins, endocytosis activities, and metabolic dynamics of an individual live cell. When coupling it to whole-cell spontaneous Raman micro-spectroscopy, we demonstrate the utility of this technique in 14-plexed live-cell profiling and phenotyping under various drug perturbations. In particular, single-cell multiparameter measurement enables powerful clustering, correlation, and network analysis with biological insights. This profiling platform is compatible with live-cell cytometry, of low instrument complexity and capable of highly multiplexed measurement in a robust and straightforward manner, thereby contributing a valuable tool for both basic single-cell biology and translation applications such as high-content cell sorting and drug discovery. Currently relatively few functional probes for Raman-based live-cell profiling exist. Here the authors build on their previous ultra-bright Raman dots to devise a 14-plexed Raman probe panel to quantify cell surface proteins, endocytosis activities and metabolic dynamics of single live cells.
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影响因子:
9
作者:
通讯作者:
--
DOI:
10.1126/science.1198704
发表时间:
2011-05-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者:
Nolan GP
影响因子:
64.8
作者:
Jeong, H;Mason, SP;Oltvai, ZN
通讯作者:
Oltvai, ZN
影响因子:
21.3
作者:
Diring, Jessica;Mouilleron, Stephane;Treisman, Richard
通讯作者:
Treisman, Richard
影响因子:
15
作者:
Chen, Zhixing;Paley, Daniel W.;Wei, Lu;Weisman, Andrew L.;Friesner, Richard A.;Nuckolls, Colin;Min, Wei
通讯作者:
Min, Wei