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Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation

We aim to identify the key protein interaction networks and implicated pathways of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were downloaded and analyzed by using the limma package to identif...

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Autores principales: Jia, Linpei, Fu, Wenjing, Jia, Rufu, Wu, Leiyun, Li, Xiaoxia, Jia, Qiang, Zhang, Hongliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864740/
https://www.ncbi.nlm.nih.gov/pubmed/29567951
http://dx.doi.org/10.1038/s41598-018-23492-2
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author Jia, Linpei
Fu, Wenjing
Jia, Rufu
Wu, Leiyun
Li, Xiaoxia
Jia, Qiang
Zhang, Hongliang
author_facet Jia, Linpei
Fu, Wenjing
Jia, Rufu
Wu, Leiyun
Li, Xiaoxia
Jia, Qiang
Zhang, Hongliang
author_sort Jia, Linpei
collection PubMed
description We aim to identify the key protein interaction networks and implicated pathways of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were downloaded and analyzed by using the limma package to identify differentially expressed genes (DEGs). Then the gene ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were done to investigate the molecular function (MF), biological process (BP), cellular components (CC) and pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub proteins were  identified. As a result, 249 up-regulated genes and 253 down-regulated genes of BKVN patients were selected based on criteria of P > 0.01 and fold change >2.0. GO and KEGG showed that DEGs were mainly located in nucleus and cytosol, and were implicated in the immune responses. In the PPI analysis, 26 up-regulated and 8 down-regulated proteins composed the pivotal interaction network. CXCL10, EGF and STAT1 were identified as hub proteins in BKVN. In conclusion, CXCL10, EGF and STAT1 may induce kidney injuries by promoting inflammation and prohibiting reparation of tissue damage in BKVN.
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spelling pubmed-58647402018-03-27 Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation Jia, Linpei Fu, Wenjing Jia, Rufu Wu, Leiyun Li, Xiaoxia Jia, Qiang Zhang, Hongliang Sci Rep Article We aim to identify the key protein interaction networks and implicated pathways of BK virus nephropathy (BKVN) via bioinformatic methods. The microarray data GSE75693 of 30 patients with stable kidney transplantation and 15 with BKVN were downloaded and analyzed by using the limma package to identify differentially expressed genes (DEGs). Then the gene ontology (GO) functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were done to investigate the molecular function (MF), biological process (BP), cellular components (CC) and pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub proteins were  identified. As a result, 249 up-regulated genes and 253 down-regulated genes of BKVN patients were selected based on criteria of P > 0.01 and fold change >2.0. GO and KEGG showed that DEGs were mainly located in nucleus and cytosol, and were implicated in the immune responses. In the PPI analysis, 26 up-regulated and 8 down-regulated proteins composed the pivotal interaction network. CXCL10, EGF and STAT1 were identified as hub proteins in BKVN. In conclusion, CXCL10, EGF and STAT1 may induce kidney injuries by promoting inflammation and prohibiting reparation of tissue damage in BKVN. Nature Publishing Group UK 2018-03-22 /pmc/articles/PMC5864740/ /pubmed/29567951 http://dx.doi.org/10.1038/s41598-018-23492-2 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Jia, Linpei
Fu, Wenjing
Jia, Rufu
Wu, Leiyun
Li, Xiaoxia
Jia, Qiang
Zhang, Hongliang
Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title_full Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title_fullStr Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title_full_unstemmed Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title_short Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation
title_sort identification of potential key protein interaction networks of bk virus nephropathy in patients receiving kidney transplantation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5864740/
https://www.ncbi.nlm.nih.gov/pubmed/29567951
http://dx.doi.org/10.1038/s41598-018-23492-2
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