Network based analysis of microarray gene expression profiles in response to electroacupuncture.

ABSTRACT: Electroacupuncture (EA) has been extensively considered as a tool for treating diseases and relieving various pains. However, understanding the molecular mechanisms underlying its effect is of high importance. In this study, we performed a weighted gene co-expression network analysis (WGCNA) on data collected from a microarray experiment to investigate the relationship underlying EA within three factors, time, frequency and tissue regions (periaqueductal grey (PAG) and spinal dorsal horn (DH)) as well as the biological implication of gene expression changes. Gene expression on rats in PAG-DH regions induced by EA with 2 Hz and 100 Hz at l h and 24 h were measured using microarray technology. The WGCNA was performed to identify distinct network modules related to EA effects. To find the bio

SUBMITTER: Mohammadnejad A 

PROVIDER: S-EPMC7485279 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature