{"doi":"10.1126/sciadv.aba9319","title":"Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data","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 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.","journal":"Science Advances","year":2020,"id":54415,"datarank":2.6954485230522742,"base_score":4.653960350157523,"endowment":4.653960350157523,"self_citation_contribution":0.6980940525236285,"citation_network_contribution":1.9973544705286457,"self_endowment_contribution":0.6980940525236285,"citer_contribution":1.9973544705286457,"corpus_percentile":null,"corpus_rank":null,"citation_count":104,"citer_count":91,"citers_with_citation_signal":76,"citers_with_endowment":76,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9375,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":280327,"name":"Diana Douglas","orcid":null,"position":1,"is_corresponding":false},{"id":279282,"name":"Jingyu Zhang","orcid":"0000-0001-6668-2815","position":2,"is_corresponding":false},{"id":279283,"name":"Sangeeta Kumari","orcid":"0000-0002-0692-0452","position":3,"is_corresponding":false},{"id":280328,"name":"Metewo Selase Enuameh","orcid":null,"position":4,"is_corresponding":false},{"id":279284,"name":"Yan Dai","orcid":"0000-0001-7650-5281","position":5,"is_corresponding":false},{"id":279285,"name":"Callen T. Wallace","orcid":"0000-0001-6852-4976","position":6,"is_corresponding":false},{"id":279286,"name":"Simon C. Watkins","orcid":"0000-0003-4092-1552","position":7,"is_corresponding":false},{"id":280329,"name":"Weiguo Shu","orcid":null,"position":8,"is_corresponding":false},{"id":279287,"name":"Jianhua Xing","orcid":"0000-0002-3700-8765","position":9,"is_corresponding":false},{"id":279281,"name":"Weikang Wang","orcid":"0000-0002-4783-7540","position":0,"is_corresponding":true}],"reference_count":68,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T21:03:43.037640Z","pmid":"32917609","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}