Multimodal single cell analyses reveal gene networks of planarian stem cell differentiation.

ABSTRACT: Cell type identity is controlled by gene regulatory networks (GRNs), where transcription factors (TFs) regulate target genes (TGs) via open chromatin regions (OCRs), often specific to one or multiple cell types. Classic GRN discovery using perturbations is laborious and not easily scalable across the tree of life. Single-cell transcriptomics enables cell type-resolved gene expression analysis, but integrating perturbation data remains difficult. Here, we investigate planarian stem cell differentiation by integrating single-cell transcriptomics and chromatin accessibility data. The integrated analysis identifies gene networks matching known TF interactions and highlights TFs that may drive differentiation across multiple cell types. Our data reveals at least two major cell type supergroups

SUBMITTER: Perez-Posada A 

PROVIDER: S-EPMC12660999 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature