A proteomic approach for the identification of up-regulated proteins involved in the metabolic process of the leiomyoma

Blendi Ura, Federica Scrimin, Giorgio Arrigoni, Cinzia Franchin, Lorenzo Monasta, Giuseppe Ricci

Research output: Contribution to journalArticlepeer-review

Abstract

Uterine leiomyoma is the most common benign smooth muscle cell tumor of the uterus. Proteomics is a powerful tool for the analysis of complex mixtures of proteins. In our study, we focused on proteins that were upregulated in the leiomyoma compared to the myometrium. Paired samples of eight leiomyomas and adjacent myometrium were obtained and submitted to two-dimensional gel electrophoresis (2-DE) and mass spectrometry for protein identification and to Western blotting for 2-DE data validation. The comparison between the patterns revealed 24 significantly upregulated (p <0.05) protein spots, 12 of which were found to be associated with the metabolic processes of the leiomyoma and not with the normal myometrium. The overexpression of seven proteins involved in the metabolic processes of the leiomyoma was further validated by Western blotting and 2D Western blotting. Four of these proteins have never been associated with the leiomyoma before. The 2-DE approach coupled with mass spectrometry, which is among the methods of choice for comparative proteomic studies, identified a number of proteins overexpressed in the leiomyoma and involved in several biological processes, including metabolic processes. A better understanding of the mechanism underlying the overexpression of these proteins may be important for therapeutic purposes.

Original languageEnglish
Article number540
JournalInternational Journal of Molecular Sciences
Volume17
Issue number4
DOIs
Publication statusPublished - Apr 9 2016

Keywords

  • 2-DE
  • Leiomyoma
  • Metabolic process
  • Myometrium
  • Proteomic

ASJC Scopus subject areas

  • Physical and Theoretical Chemistry
  • Organic Chemistry
  • Spectroscopy
  • Inorganic Chemistry
  • Catalysis
  • Molecular Biology
  • Computer Science Applications

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