Cited by 46Ovarian function and disordersReproductive Biology and FertilityGenetic and Kidney Cyst Diseases

Construction of a polycystic ovarian syndrome (PCOS) pathway based on the interactions of PCOS-related proteins retrieved from bibliomic data

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Mohamed-Hussein, Zeti-Azura, Harun, Sarahani·2009·Theoretical Biology and Medical Modelling

Abstract

Polycystic ovary syndrome (PCOS) is a complex but frequently occurring endocrine abnormality. PCOS has become one of the leading causes of oligo-ovulatory infertility among premenopausal women. The definition of PCOS remains unclear because of the heterogeneity of this abnormality, but it is associated with insulin resistance, hyperandrogenism, obesity and dyslipidaemia. The main purpose of this study was to identify possible candidate genes involved in PCOS. Several genomic approaches, including linkage analysis and microarray analysis, have been used to look for candidate PCOS genes. To obtain a clearer view of the mechanism of PCOS, we have compiled data from microarray analyses. An extensive literature search identified seven published microarray analyses that utilized PCOS samples. These were published between the year of 2003 and 2007 and included analyses of ovary tissues as well as whole ovaries and theca cells. Although somewhat different methods were used, all the studies employed cDNA microarrays to compare the gene expression patterns of PCOS patients with those of healthy controls. These analyses identified more than a thousand genes whose expression was altered in PCOS patients. Most of the genes were found to be involved in gene and protein expression, cell signaling and metabolism. We have classified all of the 1081 identified genes as coding for either known or unknown proteins. Cytoscape 2.6.1 was used to build a network of protein and then to analyze it. This protein network consists of 504 protein nodes and 1408 interactions among those proteins. One hypothetical protein in the PCOS network was postulated to be involved in the cell cycle. BiNGO was used to identify the three main ontologies in the protein network: molecular functions, biological processes and cellular components. This gene ontology analysis identified a number of ontologies and genes likely to be involved in the complex mechanism of PCOS. These include the insulin receptor signaling pathway, steroid biosynthesis, and the regulation of gonadotropin secretion among others.

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Authors
Mohamed-Hussein, Z.-A., & Harun, S.
Affiliations
National University of Malaysia (MY)
Venue
Theoretical Biology and Medical Modelling
Published
2009-09-01
Volume
6
Issue
1
Pages
18-18
ISSN
1742-4682 (ISSN-L)
OpenAlex
W2054839236
Cited by
46
References
35
Citations by year
2026: 2 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 3 · 2021: 4 · 2020: 2 · 2019: 3 · 2018: 6 · 2017: 1 · 2016: 5 · 2015: 2 · 2014: 2 · 2013: 2 · 2012: 1
FWCI
1.97
Type
journal article
Language
en
Open access
Locations
  • Theoretical Biology and Medical Modelling (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Greater South Information System
Funders
  • National Science Foundation
  • Kementerian Sains, Teknologi dan Inovasi
  • Ministério da Ciência, Tecnologia e Inovação
Topics
  • Health Sciences › Medicine › Reproductive Medicine › Ovarian function and disorders
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Reproductive Biology and Fertility
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and Kidney Cyst Diseases
Keywords
polycystic ovary syndrome, protein-protein interaction network, gene expression profiling, microarray data integration, insulin receptor signaling, steroidogenesis, gonadotropin secretion, cell cycle, Gene Ontology, theca cells, insulin resistance, hyperandrogenism
MeSH terms
Female, Humans, Polycystic Ovary Syndrome, Protein Binding, Proteins, Software, Bibliometrics, Oligonucleotide Array Sequence Analysis

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