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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...

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Autores principales: zadeh fakhar, Haniyeh Bashi, Zali, Hakimeh, Rezaie-Tavirani, Mostafa, Darkhaneh, Roya Faraji, Babaabasi, Babak
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
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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.
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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
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