Profiling the Non-genetic Origins of Cancer Drug Resistance with a Single-Cell Functional Genomics Approach Using Predictive Cell Dynamics - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles Cell Systems Year : 2020

Profiling the Non-genetic Origins of Cancer Drug Resistance with a Single-Cell Functional Genomics Approach Using Predictive Cell Dynamics

Pascal Barbry
Paul Hofman
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  • PersonId : 860820

Abstract

Highlights d Fate-seq links the drug response of a single cell to its own transcriptomic profile d Fate-seq recovers variable cell decision information from unstructured variability d It identifies molecular factors causing the intrinsic resistance to cancer drugs d A TRAIL therapeutic efficacy profile is performed in HeLa cells as proof of concept
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hal-03001650 , version 1 (02-12-2020)

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Mickael Meyer, Agnès Paquet, Marie-Jeanne Arguel, Ludovic Peyre, Luis Gomes-Pereira, et al.. Profiling the Non-genetic Origins of Cancer Drug Resistance with a Single-Cell Functional Genomics Approach Using Predictive Cell Dynamics. Cell Systems, 2020, 11 (4), pp.367-374. ⟨10.1016/j.cels.2020.08.019⟩. ⟨hal-03001650⟩
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