Formal Meta-Analysis of Hypoxic Gene Expression Profiles Reveals a Universal Gene Signature.

ABSTRACT: Integrating transcriptional profiles results in identifying gene expression signatures that are more robust than those obtained for individual datasets. However, a direct comparison of datasets derived from heterogeneous experimental conditions is problematic, hence their integration requires applying of specific meta-analysis techniques. The transcriptional response to hypoxia has been the focus of intense research due to its central role in tissue homeostasis and prevalent diseases. Accordingly, many studies have determined the gene expression profile of hypoxic cells. Yet, despite this wealth of information, little effort has been made to integrate these datasets to produce a robust hypoxic signature. We applied a formal meta-analysis procedure to datasets comprising 430 RNA-seq samples

SUBMITTER: Puente-Santamaria L 

PROVIDER: S-EPMC9496516 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature