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 my elodysplastic 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 under expressed in MDS stem cells. This discovery elucidated the mechanism of activation of TGF- signaling in MDS. A recent study again utilized this dataset and revealed that Interleukin 8 and its receptor CXCR2 are elevated in MDS stem cells. This study is leading to a clinical trial with IL8 inhibitors in MDS. We have now added information about MDS subtypes, blood counts, IPSS scores, patient demographics and mutations in these samples. Investigators will be allowed to access this database online. This resource will continually be updated with newer data on an ongoing basis.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
AD1013334

Entities

People

  • Amit Verma

Organizations

  • Albert Einstein College of Medicine

Tags

DTIC Thesaurus Topics

  • Blood
  • Bone Marrow Cells
  • Cell Physiological Processes
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Dna Microarrays
  • Gene Expression
  • Health Services
  • Hematologic Diseases
  • Peptide Growth Factors
  • Stem Cells

Fields of Study

  • Medicine

Readers

  • Database Systems and Applications
  • Missile Defense Systems.
  • Oncology (Cancer Research).

Technology Areas

  • Biotechnology