Logo image
dbEMT: an epithelial-mesenchymal transition associated gene resource
Journal article   Open access   Peer reviewed

dbEMT: an epithelial-mesenchymal transition associated gene resource

Min Zhao, Lei Kong, Yining Liu and Hong Qu
Scientific Reports, Vol.5(11459), pp.1-14
2015
pdf
PDF - Published Version (Open Access)3.57 MBDownloadView
Published VersionPDF - Published Version (Open Access)CC BY V4.0 Open Access
url
https://doi.org/10.1038/srep11459View
Published Version

Abstract

epithelial-mesenchymal transition (EMT)
As a cellular process that changes epithelial cells to mesenchymal cells, Epithelial-mesenchymal transition (EMT) plays important roles in development and cancer metastasis. Recent studies on cancer metastasis have identified many new susceptibility genes that control this transition. However, there is no comprehensive resource for EMT by integrating various genetic studies and the relationship between EMT and the risk of complex diseases such as cancer are still unclear. To investigate the cellular complexity of EMT, we have constructed dbEMT (http://dbemt.bioinfominzhao. org/), the first literature-based gene resource for exploring EMT-related human genes. We manually curated 377 experimentally verified genes from literature. Functional analyses highlighted the prominent role of proteoglycans in tumor metastatic cascades. In addition, the disease enrichment analysis provides a clue for the potential transformation in affected tissues or cells in Alzheimer's disease and Type 2 Diabetes. Moreover, the global mutation pattern of EMT-related genes across multiple cancers may reveal common cancer metastasis mechanisms. Our further reconstruction of the EMT-related protein-protein interaction network uncovered a highly modular structure. These results illustrate the importance of dbEMT to our understanding of cell development and cancer metastasis, and also highlight the utility of dbEMT for elucidating the functions of EMTrelated genes.

Details

Metrics

198 File views/ downloads
899 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Domestic collaboration
International collaboration
Web Of Science research areas
Biochemistry & Molecular Biology

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Logo image