Cargando…
Proteome profiling of low grade serous ovarian cancer
BACKGROUND: Serous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer. Thus, this study aimed at analyzing the interacto...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637464/ https://www.ncbi.nlm.nih.gov/pubmed/31315664 http://dx.doi.org/10.1186/s13048-019-0535-z |
_version_ | 1783436243347963904 |
---|---|
author | zadeh fakhar, Haniyeh Bashi Zali, Hakimeh Rezaie-Tavirani, Mostafa Darkhaneh, Roya Faraji Babaabasi, Babak |
author_facet | zadeh fakhar, Haniyeh Bashi Zali, Hakimeh Rezaie-Tavirani, Mostafa Darkhaneh, Roya Faraji Babaabasi, Babak |
author_sort | zadeh fakhar, Haniyeh Bashi |
collection | PubMed |
description | BACKGROUND: Serous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer. Thus, this study aimed at analyzing the interactome (protein-protein interaction (PPI)) and (MS) data to inspect PPI networks in patients with Low grade serous ovarian cancer. METHODS: For proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Differentially expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks. RESULTS: Six Hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (Degree and between), were found including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin, cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP). DISCUSSION: This study showed these six proteins were introduced as hub-bottleneck protein. It can be concluded that regulation of gene expression can have a critical role in the pathology of Low-grade serous ovarian cancer. |
format | Online Article Text |
id | pubmed-6637464 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66374642019-07-25 Proteome profiling of low grade serous ovarian cancer zadeh fakhar, Haniyeh Bashi Zali, Hakimeh Rezaie-Tavirani, Mostafa Darkhaneh, Roya Faraji Babaabasi, Babak J Ovarian Res Research BACKGROUND: Serous carcinoma, the subtype of ovarian cancer has the highest occurrence and mortality in women. Proteomic profiling using mass spectrometry (MS) has been used to detect biomarkers in tissue s obtained from patients with ovarian cancer. Thus, this study aimed at analyzing the interactome (protein-protein interaction (PPI)) and (MS) data to inspect PPI networks in patients with Low grade serous ovarian cancer. METHODS: For proteome profiling in Low grade serous ovarian cancer, 2DE and mass spectrometry were used. Differentially expressed proteins which had been determined in Low grade serous ovarian cancer and experimental group separately were integrated with PPI data to construct the (QQPPI) networks. RESULTS: Six Hub-bottlenecks proteins with significant centrality values, based on centrality parameters of the network (Degree and between), were found including Transgelin (TAGLN), Keratin (KRT14), Single peptide match to actin, cytoplasmic 1(ACTB), apolipoprotein A-I (APOA1), Peroxiredoxin-2 (PRDX2), and Haptoglobin (HP). DISCUSSION: This study showed these six proteins were introduced as hub-bottleneck protein. It can be concluded that regulation of gene expression can have a critical role in the pathology of Low-grade serous ovarian cancer. BioMed Central 2019-07-17 /pmc/articles/PMC6637464/ /pubmed/31315664 http://dx.doi.org/10.1186/s13048-019-0535-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research zadeh fakhar, Haniyeh Bashi Zali, Hakimeh Rezaie-Tavirani, Mostafa Darkhaneh, Roya Faraji Babaabasi, Babak Proteome profiling of low grade serous ovarian cancer |
title | Proteome profiling of low grade serous ovarian cancer |
title_full | Proteome profiling of low grade serous ovarian cancer |
title_fullStr | Proteome profiling of low grade serous ovarian cancer |
title_full_unstemmed | Proteome profiling of low grade serous ovarian cancer |
title_short | Proteome profiling of low grade serous ovarian cancer |
title_sort | proteome profiling of low grade serous ovarian cancer |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637464/ https://www.ncbi.nlm.nih.gov/pubmed/31315664 http://dx.doi.org/10.1186/s13048-019-0535-z |
work_keys_str_mv | AT zadehfakharhaniyehbashi proteomeprofilingoflowgradeserousovariancancer AT zalihakimeh proteomeprofilingoflowgradeserousovariancancer AT rezaietaviranimostafa proteomeprofilingoflowgradeserousovariancancer AT darkhanehroyafaraji proteomeprofilingoflowgradeserousovariancancer AT babaabasibabak proteomeprofilingoflowgradeserousovariancancer |