Characterization of cell-fate decision landscapes by estimating transcription factor dynamics - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles (Data Paper) Cell Reports Methods Year : 2023

Characterization of cell-fate decision landscapes by estimating transcription factor dynamics

Abstract

Highlights d FateCompass is an integrative pipeline to estimate TF activity dynamics d FateCompass learns trajectories using RNA velocity or a differentiation potential d FateCompass reveals known and novel regulators in pancreatic datasets d Lineage tracing validates FateCompass predictions for in vitro b cell differentiation
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inserm-04140681 , version 1 (26-06-2023)

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Sara Jiménez, Valérie Schreiber, Reuben Mercier, Gérard Gradwohl, Nacho Molina. Characterization of cell-fate decision landscapes by estimating transcription factor dynamics. Cell Reports Methods, 2023, pp.100512. ⟨10.1016/j.crmeth.2023.100512⟩. ⟨inserm-04140681⟩
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