Speaker：Suoqin Jin（Wuhan University）

Time：2022-09-19, 14:30

Location：Tencent Meeting ID：579-922-4321（No Password）

Abstract:

Recent advances of single-cell technologies, in particular single-cell RNA and ATAC sequencing, provide an unprecedented opportunity to dissect cellular heterogeneity and communication more comprehensively. To deconvolute heterogeneous single cells from both transcriptomic and epigenomic profiles, we developed a matrix factorization-based method for integrating single cell RNA-seq data and ATAC-seq or DNA methylation data obtained from the same individual cells. We demonstrate its capability of dissecting novel cellular populations from sparse single-cell multiomics data, including subpopulations with subtle transcriptomic differences but strong chromatin accessibility differences. In addition, to quantitatively build and analyze cell-cell communication networks in an easily interpretable way, we developed an integrated method CellChat for systematic inference and quantitative analysis of cell-cell communication by leveraging systems biology and machine learning approaches.

联系人：周达