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Linking the genotypes and phenotypes of cancer cells in heterogenous populations via real-time optical tagging and image analysis.
You, Li; Su, Pin-Rui; Betjes, Max; Rad, Reza Ghadiri; Chou, Ting-Chun; Beerens, Cecile; van Oosten, Eva; Leufkens, Felix; Gasecka, Paulina; Muraro, Mauro; van Tol, Ruud; van Steenderen, Debby; Farooq, Shazia; Hardillo, Jose Angelito U; de Jong, Robert Baatenburg; Brinks, Daan; Chien, Miao-Ping.
Afiliação
  • You L; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Su PR; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Betjes M; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Rad RG; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Chou TC; Department of Chemistry, National Taiwan University, Taipei, Taiwan.
  • Beerens C; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • van Oosten E; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Leufkens F; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Gasecka P; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Muraro M; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • van Tol R; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • van Steenderen D; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Farooq S; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Hardillo JAU; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • de Jong RB; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
  • Brinks D; Department of Molecular Genetics, Erasmus University Medical Center, Rotterdam, The Netherlands.
  • Chien MP; Erasmus MC Cancer Institute, Rotterdam, The Netherlands.
Nat Biomed Eng ; 6(5): 667-675, 2022 05.
Article em En | MEDLINE | ID: mdl-35301448
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.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Transcriptoma / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article