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Inferring pattern-driving intercellular flows from single-cell transcriptomics of young human cortical organoids

ABSTRACT: Intercellular communication drives directed flows of information that are mediated by intracellular gene modules, in turn triggering outflows of other signals. Methodologies to describe such intercellular flows are severely lacking. We present FlowSig, a method that infers communication-driven intercellular flows from scRNA-seq using graphical causal modeling and conditional independence. We used human cortical organoid samples collected at D18 and D35 to demonstrate the functions of FlowSig.

ORGANISM(S): Homo sapiens

PROVIDER: GSE239542 | GEO | 2024/06/08

REPOSITORIES: GEO

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