Analyzing network diversity of cell-cell interactions in COVID-19 using single-cell transcriptomics.

ABSTRACT: Cell-cell interactions (CCI) play significant roles in manipulating biological functions of cells. Analyzing the differences in CCI between healthy and diseased conditions of a biological system yields greater insight than analyzing either conditions alone. There has been a recent and rapid growth of methods to infer CCI from single-cell RNA-sequencing (scRNA-seq), revealing complex CCI networks at a previously inaccessible scale. However, the majority of current CCI analyses from scRNA-seq data focus on direct comparisons between individual CCI networks of individual samples from patients, rather than "group-level" comparisons between sample groups of patients comprising different conditions. To illustrate new biological features among different disease statuses, we investigated the diver

SUBMITTER: Wang X 

PROVIDER: S-EPMC9465179 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature