Project description:We report the single nucleus multiome (RNAseq+ATACseq) of a female mouse pituitary sample. This dataset was generated for supporting the development of a data-driven batch inference method and transforms often heterogeneous data matrices obtained from different samples into a uniformly cell-type annotated and integrated dataset.
Project description:We report the single nucleus multiome (RNAseq+ATACseq) of a male mouse pituitary sample. This dataset was generated for supporting the development of a novel computational framework for analyzing gene regulatorty circuitry from single cell multiome datasets. This computational framework extract regulatory circuits consisting of TFs, cis-regulatory sites and target genes by modelling the co-incidence of the RNA levels of the TFs, the chomatin accessibility of the TFs' binding sites and the RNA levels of target genes across single cell. Specifically we identified gonadotrope-specific regulatory circuits under the transcription factor Gata2. These regulatory circuits were validated by male mouse pituitary samples with gonadotrope-conditional knockout of Gata2 previously reported in GSE190066.