A validated single-cell-based strategy to identify diagnostic and therapeutic targets in complex diseases.

ABSTRACT:

Background

Genomic medicine has paved the way for identifying biomarkers and therapeutically actionable targets for complex diseases, but is complicated by the involvement of thousands of variably expressed genes across multiple cell types. Single-cell RNA-sequencing study (scRNA-seq) allows the characterization of such complex changes in whole organs.

Methods

The study is based on applying network tools to organize and analyze scRNA-seq data from a mouse model of arthritis and human rheumatoid arthritis, in order to find diagnostic biomarkers and therapeutic targets. Diagnostic validation studies were performed using expression profiling data and potential protein biomarkers from prospective clinical studies of 13 diseases. A candidate drug was examined by a treatment study

SUBMITTER: Gawel DR 

PROVIDER: S-EPMC6664760 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature