Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data.
Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data.
复制标题
活细胞成像和分析揭示了快照数据中固有缺失的细胞表型转变动态。
DOI:
10.1126/sciadv.aba9319
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发表时间:
2020
期刊:
影响因子:
13.6
通讯作者:
Xing,Jianhua
中科院分区:
文献类型:
--
作者:
Wang,Weikang;Douglas,Diana;Zhang,Jingyu;Kumari,Sangeeta;Enuameh,MetewoSelase;Dai,Yan;Wallace,CallenT;Watkins,SimonC;Shu,Weiguo;Xing,Jianhua
Recent advances in single-cell techniques catalyze an emerging field of studying how cells convert from one phenotype to another, in a step-by-step process. Two grand technical challenges, however, impede further development of the field. Fixed cell–based approaches can provide snapshots of high-dimensional expression profiles but have fundamental limits on revealing temporal information, and fluorescence-based live-cell imaging approaches provide temporal information but are technically challenging for multiplex long-term imaging. We first developed a live-cell imaging platform that tracks cellular status change through combining endogenous fluorescent labeling that minimizes perturbation to cell physiology and/or live-cell imaging of high-dimensional cell morphological and texture features. With our platform and an A549 VIM-RFP epithelial-to-mesenchymal transition (EMT) reporter cell line, live-cell trajectories reveal parallel paths of EMT missing from snapshot data due to cell-cell dynamic heterogeneity. Our results emphasize the necessity of extracting dynamical information of phenotypic transitions from multiplex live-cell imaging.