Meta-Analysis of EMT Datasets Reveals Different Types of EMT.

ABSTRACT: As a critical process during embryonic development, cancer progression and cell fate conversions, epithelial-mesenchymal transition (EMT) has been extensively studied over the last several decades. To further understand the nature of EMT, we performed meta-analysis of multiple microarray datasets to identify the related generic signature. In this study, 24 human and 17 mouse microarray datasets were integrated to identify conserved gene expression changes in different types of EMT. Our integrative analysis revealed that there is low agreement among the list of the identified signature genes and three other lists in previous studies. Since removing the datasets with weakly-induced EMT from the analysis did not significantly improve the overlapping in the signature-gene lists, we hypothesize

SUBMITTER: Liang L 

PROVIDER: S-EPMC4892621 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature