Science AdvancesSystems BiologyPeer-reviewed journal article
Live cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data
Weikang WangiD, Diana L. Douglas, Jingyu ZhangiD, Sangeeta KumariiD, Metewo Selase Enuameh, Yan DaiiD, Callen T. WallaceiD, Simon C. WatkinsiD, Weiguo Shu, Jianhua XingiD
Abstract
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 genome-wide snapshots of cell status 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 EMT reporter line, live cell trajectories reveal parallel paths of epithelial-to-mesenchymal transition missing from snapshot data due to cell-cell heterogeneity. Our results emphasize the necessity of extracting dynamical information of phenotypic transitions from multiplex live cell imaging.
- organism: human
- assay: imaging
- research focus: cell type annotation
- research focus: trajectory inference
- approach: experimental assay
- Citations
- 94
- FWCI
- 5.00
- Field percentile
- top 3%
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