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Role of GATA-4 in differentiation and survival of bone marrow mesenchymal stem cells

  • Meifeng Xu(corresponding author)
    ,
  • Ronald W. Millard
    ,
  • Muhammad Ashraf
*Corresponding author for this work
  • University of Cincinnati
Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Abstract

Cell and tissue regeneration is a relatively new research field and it incorporates a novel application of molecular genetics. Combinatorial approaches for stem-cell-based therapies wherein guided differentiation into cardiac lineage cells and cells secreting paracrine factors may be necessary to overcome the limitations and shortcomings of a singular approach. GATA-4, a GATA zinc-finger transcription factor family member, has been shown to regulate differentiation, growth, and survival of a wide range of cell types. In this chapter, we discuss whether overexpression of GATA-4 increases mesenchymal stem cell (MSC) transdifferentiation into cardiac phenotype and enhances the MSC secretome, thereby increasing cell survival and promoting postinfarction cardiac angiogenesis. MSCs engineered with GATA-4 enhance their capacity to differentiate into cardiac cell phenotypes, improve survival of the cardiac progenitor cells and their offspring, and modulate the paracrine activity of stem cells to support their angiomyogenic potential and cardioprotective effects.

Publication Information

Output type

Scholary Output:
Chapter in Book/Report/Conference proceeding
Chapter

Original language

English (US)

Pages from-to (Number of pages)

Pages 217-241 (25 pages)

Publication milestones

  • Published - 2012

Publication status

Published - 2012

Publisher

Elsevier B.V.

Publication series

  • Publication series name: Progress in Molecular Biology and Translational Science
    ISSN (Print): 1877-1173
    Volume: 111

Publication IDs

  • Scopus: 84865339376
  • PubMed: 22917233

Host publication title

Progress in Molecular Biology and Translational Science

Publication metrics

Metrics

SciVal
FWCI
0.48
SciVal
Author count
3
SciVal
citations
12
SciVal
Paper percentile
69
Scopus
citations
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

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Captures
36
Citation count
18