Meta-Analytical Online Repository of Gene Expression Profiles of MDS Stem Cells
Abstract
We proposed to create an 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 in numerous studies. These include a screen for expression of all TGF-beta related genes and has led to the discovery that negative regulator, SMAD7, was significantly underexpressed in MDS stem cells. A recent study using this database has led to the discovery of STAT3 as a therapeutic target in MDS stem cells. We are now using this database to screen for chemokine genes in MDS and have identified the chemokine IL8 as a promising target that is upregulated in MDS. We have now added information about MDS subtypes, blood counts, IPSS scores, patient demographics to this database. We now propose to add information about mutations in these samples. This resource will continually be updated with newer data on an ongoing basis.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2014
- Accession Number
- ADA618906
Entities
People
- Amit Verma
Organizations
- Albert Einstein College of Medicine