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Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics

BACKGROUND: Protein kinase C ζ (PKCζ), an isoform of the atypical protein kinase C, is a pivotal regulator in cancer. However, the molecular and cellular mechanisms whereby PKCζ regulates tumorigenesis and metastasis are still not fully understood. In this study, proteomics and bioinformatics analys...

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Autores principales: Hou, Chunyu, Li, Yuan, Liu, Huiqin, Dang, Mengjiao, Qin, Guoxuan, Zhang, Ning, Chen, Ruibing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828088/
https://www.ncbi.nlm.nih.gov/pubmed/29491746
http://dx.doi.org/10.1186/s12953-018-0134-8
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author Hou, Chunyu
Li, Yuan
Liu, Huiqin
Dang, Mengjiao
Qin, Guoxuan
Zhang, Ning
Chen, Ruibing
author_facet Hou, Chunyu
Li, Yuan
Liu, Huiqin
Dang, Mengjiao
Qin, Guoxuan
Zhang, Ning
Chen, Ruibing
author_sort Hou, Chunyu
collection PubMed
description BACKGROUND: Protein kinase C ζ (PKCζ), an isoform of the atypical protein kinase C, is a pivotal regulator in cancer. However, the molecular and cellular mechanisms whereby PKCζ regulates tumorigenesis and metastasis are still not fully understood. In this study, proteomics and bioinformatics analyses were performed to establish a protein-protein interaction (PPI) network associated with PKCζ, laying a stepping stone to further understand the diverse biological roles of PKCζ. METHODS: Protein complexes associated with PKCζ were purified by co-immunoprecipitation from breast cancer cell MDA-MB-231 and identified by LC-MS/MS. Two biological replicates and two technical replicates were analyzed. The observed proteins were filtered using the CRAPome database to eliminate the potential false positives. The proteomics identification results were combined with PPI database search to construct the interactome network. Gene ontology (GO) and pathway analysis were performed by PANTHER database and DAVID. Next, the interaction between PKCζ and protein phosphatase 2 catalytic subunit alpha (PPP2CA) was validated by co-immunoprecipitation, Western blotting and immunofluorescence. Furthermore, the TCGA database and the COSMIC database were used to analyze the expressions of these two proteins in clinical samples. RESULTS: The PKCζ centered PPI network containing 178 nodes and 1225 connections was built. Network analysis showed that the identified proteins were significantly associated with several key signaling pathways regulating cancer related cellular processes. CONCLUSIONS: Through combining the proteomics and bioinformatics analyses, a PKCζ centered PPI network was constructed, providing a more complete picture regarding the biological roles of PKCζ in both cancer regulation and other aspects of cellular biology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12953-018-0134-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-58280882018-02-28 Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics Hou, Chunyu Li, Yuan Liu, Huiqin Dang, Mengjiao Qin, Guoxuan Zhang, Ning Chen, Ruibing Proteome Sci Research BACKGROUND: Protein kinase C ζ (PKCζ), an isoform of the atypical protein kinase C, is a pivotal regulator in cancer. However, the molecular and cellular mechanisms whereby PKCζ regulates tumorigenesis and metastasis are still not fully understood. In this study, proteomics and bioinformatics analyses were performed to establish a protein-protein interaction (PPI) network associated with PKCζ, laying a stepping stone to further understand the diverse biological roles of PKCζ. METHODS: Protein complexes associated with PKCζ were purified by co-immunoprecipitation from breast cancer cell MDA-MB-231 and identified by LC-MS/MS. Two biological replicates and two technical replicates were analyzed. The observed proteins were filtered using the CRAPome database to eliminate the potential false positives. The proteomics identification results were combined with PPI database search to construct the interactome network. Gene ontology (GO) and pathway analysis were performed by PANTHER database and DAVID. Next, the interaction between PKCζ and protein phosphatase 2 catalytic subunit alpha (PPP2CA) was validated by co-immunoprecipitation, Western blotting and immunofluorescence. Furthermore, the TCGA database and the COSMIC database were used to analyze the expressions of these two proteins in clinical samples. RESULTS: The PKCζ centered PPI network containing 178 nodes and 1225 connections was built. Network analysis showed that the identified proteins were significantly associated with several key signaling pathways regulating cancer related cellular processes. CONCLUSIONS: Through combining the proteomics and bioinformatics analyses, a PKCζ centered PPI network was constructed, providing a more complete picture regarding the biological roles of PKCζ in both cancer regulation and other aspects of cellular biology. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12953-018-0134-8) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-26 /pmc/articles/PMC5828088/ /pubmed/29491746 http://dx.doi.org/10.1186/s12953-018-0134-8 Text en © The Author(s). 2018 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
Hou, Chunyu
Li, Yuan
Liu, Huiqin
Dang, Mengjiao
Qin, Guoxuan
Zhang, Ning
Chen, Ruibing
Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title_full Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title_fullStr Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title_full_unstemmed Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title_short Profiling the interactome of protein kinase C ζ by proteomics and bioinformatics
title_sort profiling the interactome of protein kinase c ζ by proteomics and bioinformatics
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5828088/
https://www.ncbi.nlm.nih.gov/pubmed/29491746
http://dx.doi.org/10.1186/s12953-018-0134-8
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