A multidimensional proteomic approach to identify hypertrophy-associated proteins

Merry L. Lindsey, Danielle K. Goshorn, Susana Comte-Walters, Jennifer W. Hendrick, Elizabeth Hapke, Michael R. Zile, Kevin Schey

Research output: Contribution to journalArticle

33 Scopus citations

Abstract

Left ventricular hypertrophy (LVH) is a leading cause of congestive heart failure. The exact mechanisms that control cardiac growth and regulate the transition to failure are not fully understood, in part due to the lack of a complete inventory of proteins associated with LVH. We investigated the proteomic basis of LVH using the transverse aortic constriction model of pressure overload in mice coupled with a multidimensional approach to identify known and novel proteins that may be relevant to the development and maintenance of LVH. We identified 123 proteins that were differentially expressed during LVH, including LIM proteins, thioredoxin, myoglobin, fatty acid binding protein 3, the abnormal spindle-like microcephaly protein (ASPM), and cytoskeletal proteins such as actin and myosin. In addition, proteins with unknown functions were identified, providing new directions for future research in this area. We also discuss common pitfalls and strategies to overcome the limitations of current proteomic technologies. Together, the multidimensional approach provides insight into the proteomic changes that occur in the LV during hypertrophy.

Original languageEnglish (US)
Pages (from-to)2225-2235
Number of pages11
JournalProteomics
Volume6
Issue number7
DOIs
StatePublished - Apr 2006

Keywords

  • Isotope-coded affinity tag analysis
  • Left ventricular hypertrophy
  • Mass spectrometry
  • Mice
  • Two-dimensional gel electrophoresis

ASJC Scopus subject areas

  • Biochemistry
  • Molecular Biology

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    Lindsey, M. L., Goshorn, D. K., Comte-Walters, S., Hendrick, J. W., Hapke, E., Zile, M. R., & Schey, K. (2006). A multidimensional proteomic approach to identify hypertrophy-associated proteins. Proteomics, 6(7), 2225-2235. https://doi.org/10.1002/pmic.200500013