Meta-Analytical Online Repository of Gene Expression Profiles of MDS Stem Cells
Abstract
We propose to create an online searchable repository of gene expression profiles of CD34+ stem cells from patients with myelodysplastic syndromes (MDS) and healthy controls. We have devised a novel meta-analytical approach to integrate and normalize gene expression studies generated in different labs on different platforms and have shown it to be feasible and biologically valid in numerous publications. We have now successfully integrated data from 183 MDS samples in the database. This dataset has been used to screen for expression of all TGF- related genes and has led to the discovery that negative regulator, SMAD7, was significantly underexpressed in MDS stem cells. This discovery elucidated the mechanism of activation of TGF- signaling in MDS, even in the absence of high extracellular levels of TGF- . After demonstrating the utility of this database in this study, we now propose to add information about MDS subtypes, blood counts, IPSS scores, patient demographics to this database. Investigators will be allowed to access this database online. This resource will continually be updated with newer data on an ongoing basis.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2013
- Accession Number
- ADA603210
Entities
People
- Amit Verma
Organizations
- Albert Einstein College of Medicine