Back to Search
Start Over
A proteomic analysis of human uterine myoma
- Source :
- Europe PubMed Central
- Publication Year :
- 2017
-
Abstract
- Uterine leiomyoma is a benign smooth muscle tumor characterized by a high incidence in women of reproductive age. The aetiology of this tumor is still unknown but established risk factors include high levels of female hormones, family history, African ancestry, early age of menarche and obesity. Here, to identify proteomic features associated with this tumor type, we performed a liquid cromatography-mass spectrometry (LC-MS/MS) analysis of uterine myomas. The identified proteins were subjected to a gene ontology analysis to generate biological functions, molecular processes, and protein networks that were relevant to the uploaded dataset. Pathway-based analysis was an effective approach to investigate the molecular mechanisms underlying the disease and to create biological hypotheses about regulation of our proteins including the identification of upstream regulators and main protein nodes. Moreover, proteomic and in silico data were combined with immunohistochemistry and western blotting to identify a group of proteins representative of some selected pathways, with a dysregulated expression in in myoma, pseudocapsule, and normal myometrium samples. Based on these results, we confirmed the over-expression of extracellular matrix components, and estrogen and progesterone receptors in uterine myomas, and proposed biological networks, canonical pathways and functions that may be relevant to the pathophysiology of this tumor.
- Subjects :
- Adult
Proteomics
0301 basic medicine
Proteome
Uterine fibroids
In silico
Estrogen receptor
Biology
Bioinformatics
Biochemistry
03 medical and health sciences
Tandem Mass Spectrometry
Progesterone receptor
medicine
Humans
Receptor
Molecular Biology
Uterine leiomyoma
Leiomyoma
Myometrium
Myoma
Cell Biology
General Medicine
medicine.disease
Gene Expression Regulation, Neoplastic
030104 developmental biology
Female
Chromatography, Liquid
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Europe PubMed Central
- Accession number :
- edsair.doi.dedup.....adcf5fc414ced2cea1d8db7fa21e9af2