Meta-analysis for Discovering Which Genes are Differentially Expressed in Neuroinflammation

TL;DR

This study performs a meta-analysis of multiple gene expression datasets to identify genes involved in neuroinflammation, revealing key genes like pleckstrin homology domain and galectin-9 in microglia across species.

Contribution

It introduces a combined P value and logFC meta-analysis approach to identify neuroinflammation-related genes across multiple datasets and species.

Findings

Identification of pleckstrin homology domain genes in neuroinflammation

Galectin-9 genes are involved in microglial neuroinflammation

Cross-species analysis confirms conserved gene involvement

Abstract

Neuroinflammation is a significant aspect of many neurological diseases of Homo sapiens, and the genes that are differentially expressed in this process should be well understood to gather the nature of such diseases. We have conducted a meta-analysis (based on a combined adjusted P value and logFC scheme) of 6 multi-species (Homo sapiens, Mus musculus) datasets (available on GEO, short for Gene Expression Omnibus) obtained through microarray technology. Our analysis shows that the genes coding pleckstrin homology domain and galectin-9 proteins take part in neuroinflammation in microglia.