Literature DB >> 35301448

Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis.

Li You1,2, Pin-Rui Su1,2,3, Max Betjes1,2, Reza Ghadiri Rad1,2, Ting-Chun Chou1,2, Cecile Beerens1,2, Eva van Oosten1,2, Felix Leufkens1,2, Paulina Gasecka1,2,4, Mauro Muraro5, Ruud van Tol4, Debby van Steenderen1,2, Shazia Farooq1,2, Jose Angelito U Hardillo6, Robert Baatenburg de Jong6, Daan Brinks7,8, Miao-Ping Chien9,10,11.   

Abstract

Linking single-cell genomic or transcriptomic profiles to functional cellular characteristics, in particular time-varying phenotypic changes, could help unravel molecular mechanisms driving the growth of tumour-cell subpopulations. Here we show that a custom-built optical microscope with an ultrawide field of view, fast automated image analysis and a dye activatable by visible light enables the screening and selective photolabelling of cells of interest in large heterogeneous cell populations on the basis of specific functional cellular dynamics, such as fast migration, morphological variation, small-molecule uptake or cell division. Combining such functional single-cell selection with single-cell RNA sequencing allowed us to (1) functionally annotate the transcriptomic profiles of fast-migrating and spindle-shaped MCF10A cells, of fast-migrating MDA-MB-231 cells and of patient-derived head-and-neck squamous carcinoma cells, and (2) identify critical genes and pathways driving aggressive migration and mesenchymal-like morphology in these cells. Functional single-cell selection upstream of single-cell sequencing does not depend on molecular biomarkers, allows for the enrichment of sparse subpopulations of cells, and can facilitate the identification and understanding of the molecular mechanisms underlying functional phenotypes.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35301448     DOI: 10.1038/s41551-022-00853-x

Source DB:  PubMed          Journal:  Nat Biomed Eng        ISSN: 2157-846X            Impact factor:   25.671


  2 in total

1.  Microscopy-based single-cell proteomic profiling reveals heterogeneity in DNA damage response dynamics.

Authors:  Pin-Rui Su; Li You; Cecile Beerens; Karel Bezstarosti; Jeroen Demmers; Martin Pabst; Roland Kanaar; Cheng-Chih Hsu; Miao-Ping Chien
Journal:  Cell Rep Methods       Date:  2022-06-13

2.  Dynamic Visualization of TGF-β/SMAD3 Transcriptional Responses in Single Living Cells.

Authors:  Dieuwke L Marvin; Li You; Laura Bornes; Maarten van Dinther; Niek Peters; Hao Dang; Sarah K Hakuno; Marten Hornsveld; Onno Kranenburg; Jacco van Rheenen; Jos H T Rohling; Miao-Ping Chien; Peter Ten Dijke; Laila Ritsma
Journal:  Cancers (Basel)       Date:  2022-05-19       Impact factor: 6.575

  2 in total

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