Cell annotation using scRNA-seq data: A protein-protein interaction network approach.

ABSTRACT: Pathway analysis is an important step in the interpretation of single cell transcriptomic data, as it provides powerful information to detect which cellular processes are active in each individual cell. We have recently developed a protein-protein interaction network-based framework to quantify pluripotency associated pathways from scRNA-seq data. On this occasion, we extend this approach to quantify the activity of a pathway associated with any biological process, or even any list of genes. A systems-level characterization of pathway activities across multiple cell types provides a broadly applicable tool for the analysis of pathways in both healthy and disease conditions. Dysregulated cellular functions are a hallmark of a wide spectrum of human disorders, including cancer and autoimmune

SUBMITTER: Senra D 

PROVIDER: S-EPMC10148184 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature