Proteomic Analysis and Identification of Paracrine Factors in Mesenchymal Stem Cell-Conditioned Media under Hypoxia

Suk Won Song, Kyung Eun Kim, Jung Won Choi, Chang Youn Lee, Jiyun Lee, Hyang Hee Seo, Kyu Hee Lim, Soyeon Lim, Seahyong Lee, Sang Woo Kim, Ki Chul Hwang

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

Background/Aims: We previously showed that a hypoxic environment modulates the antiarrhythmic potential of mesenchymal stem cells. Methods: To investigate the mechanism by which secreted proteins contribute to the pathogenesis of antiarrhythmic potential in mesenchymal stem cells, we used two-dimensional electrophoresis combined with MALDI-TOF-MS to perform a proteomic analysis to compare the paracrine media produced by normoxic and hypoxic cells. Results: The proteomic analysis revealed that 66 protein spots out of a total of 231 matched spots indicated differential expression between the normoxic and hypoxic conditioned media of mesenchymal stem cells. Interestingly, two tropomyosin isoforms were dramatically increased in the hypoxic conditioned medium of mesenchymal stem cells. An increase in tropomyosin was confirmed using Western blot to analyze the conditioned media between normoxic and hypoxic cells. In a network analysis based on gene ontology (GO) Molecular Function by GeneMANIA analysis, most of the identified proteins were found to be involved in the regulation of heart processes. Conclusion: Our results show that hypoxia up-regulates tropomyosin and other secreted proteins which suggests that tropomyosin may be involved in regulating proarrhythmic and antiarrhythmic functions.

Original languageEnglish
Pages (from-to)400-410
Number of pages11
JournalCellular Physiology and Biochemistry
Volume40
Issue number1-2
DOIs
StatePublished - 1 Nov 2016

Bibliographical note

Publisher Copyright:
© 2016 The Author(s) Published by S. Karger AG, Basel.

Keywords

  • Bone marrow-derived rat mesenchymal stem cells
  • Cardiomyocyte differentiation
  • Hypoxia
  • Network analysis
  • Two-dimensional electrophoresis

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