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09 16, 2022;3 (3): 101600.

Coupling live-cell imaging and isolation of the same single cell to profile the transient states of predicted drug-tolerant cells.

Benjamin Bian, Agnès Paquet, Marie-Jeanne Arguel, Mickael Meyer, Ludovic Peyre, Asma Chalabi, Marielle Péré, Kevin Lebrigand, Rainer Waldmann, Pascal Barbry, Paul Hofman, Jérémie Roux
Author Information
  1. Benjamin Bian: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France.
  2. Agnès Paquet: Université Côte d'Azur, CNRS UMR 7275, Institut de Pharmacologie Moléculaire et Cellulaire, 06560 Sophia Antipolis, France.
  3. Marie-Jeanne Arguel: Université Côte d'Azur, CNRS UMR 7275, Institut de Pharmacologie Moléculaire et Cellulaire, 06560 Sophia Antipolis, France.
  4. Mickael Meyer: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France.
  5. Ludovic Peyre: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France.
  6. Asma Chalabi: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France.
  7. Marielle Péré: Université Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Biocore Team, 06902 Sophia Antipolis, France.
  8. Kevin Lebrigand: Université Côte d'Azur, CNRS UMR 7275, Institut de Pharmacologie Moléculaire et Cellulaire, 06560 Sophia Antipolis, France.
  9. Rainer Waldmann: Université Côte d'Azur, CNRS UMR 7275, Institut de Pharmacologie Moléculaire et Cellulaire, 06560 Sophia Antipolis, France.
  10. Pascal Barbry: Université Côte d'Azur, CNRS UMR 7275, Institut de Pharmacologie Moléculaire et Cellulaire, 06560 Sophia Antipolis, France; Université Côte d'Azur, FHU OncoAge, 06107 Nice, France.
  11. Paul Hofman: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France; Université Côte d'Azur, FHU OncoAge, 06107 Nice, France.
  12. Jérémie Roux: Université Côte d'Azur, CNRS UMR 7284, Inserm U 1081, Institut de Recherche sur le Cancer et le Vieillissement de Nice, Centre Antoine Lacassagne, 06107 Nice, France; Université Côte d'Azur, Inria, INRAE, CNRS, Sorbonne Université, Biocore Team, 06902 Sophia Antipolis, France. Electronic address: jeremie.roux@univ-cotedazur.fr.
PMID: 36042886 DOI: 10.1016/j.xpro.2022.101600

Abstract

Cell response variability is a starting point in cancer drug resistance that has been difficult to analyze because the tolerant cell states are short lived. Here, we present fate-seq, an approach to isolate single cells in their transient states of drug sensitivity or tolerance before profiling. The drug response is predicted in live cells, which are laser-captured by microdissection before any drug-induced change can alter their states. This framework enables the identification of the cell-state signatures causing differential cell decisions upon treatment. For complete details on the use and execution of this protocol, please refer to Meyer et al. (2020).

Keywords

Cell isolation Cell-based Assays Microscopy Single Cell Systems biology

References

  1. Cell Syst. 2020 Oct 21;11(4):367-374.e5 [PMID: 33099406]
  2. Cell. 2015 May 21;161(5):1202-1214 [PMID: 26000488]
  3. Biochem Biophys Res Commun. 2003 May 2;304(2):217-22 [PMID: 12711301]
  4. Mol Cell. 2008 Apr 11;30(1):11-25 [PMID: 18406323]
  5. Mol Syst Biol. 2015 May 07;11(5):803 [PMID: 25953765]
  6. F1000Res. 2016 Aug 31;5:2122 [PMID: 27909575]
  7. Bioinformatics. 2013 Jan 1;29(1):15-21 [PMID: 23104886]

MeSH Term

Diagnostic Imaging
Lasers
Microdissection
Journal Article Research Support, Non-U.S. Gov't
Article has an altmetric score of 3

Word Cloud

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