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Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease
Keshan disease (KD) is a kind of endemic cardiomyopathy which has a high mortality. However, molecular mechanism in the pathogenesis of KD remains poorly understood. Serum samples were collected from 112 KD patients and 112 normal controls. Gene microarray was used to screen differently expressed ge...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762769/ https://www.ncbi.nlm.nih.gov/pubmed/29321553 http://dx.doi.org/10.1038/s41598-017-18599-x |
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author | Wang, Sen Yan, Rui Wang, Bin Du, Peiru Tan, Wuhong Lammi, Mikko J. Guo, Xiong |
author_facet | Wang, Sen Yan, Rui Wang, Bin Du, Peiru Tan, Wuhong Lammi, Mikko J. Guo, Xiong |
author_sort | Wang, Sen |
collection | PubMed |
description | Keshan disease (KD) is a kind of endemic cardiomyopathy which has a high mortality. However, molecular mechanism in the pathogenesis of KD remains poorly understood. Serum samples were collected from 112 KD patients and 112 normal controls. Gene microarray was used to screen differently expressed genes. Genevestigator was applied to forecast co-expression genes of significant gene. iTRAQ proteomics analysis was used to verify significant genes and their co-expression genes. GO, COG, IPA and STRING were applied to undertake function categorization, pathway and network analysis separately. We identified 32 differentially expressed genes; IDH2, FEM1A, SSPB1 and their respective 30 co-expression genes; 68 differential proteins in KD. Significant proteins were categorized into 23 biological processes, 16 molecular functions, 16 cellular components, 15 function classes, 13 KD pathways and 1 network. IDH2, FEM1A, SSBP1, CALR, NDUFS2, IDH3A, GAPDH, TCA Cycle II (Eukaryotic) pathway and NADP repair pathway may play important roles in the pathogenesis of KD. |
format | Online Article Text |
id | pubmed-5762769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57627692018-01-17 Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease Wang, Sen Yan, Rui Wang, Bin Du, Peiru Tan, Wuhong Lammi, Mikko J. Guo, Xiong Sci Rep Article Keshan disease (KD) is a kind of endemic cardiomyopathy which has a high mortality. However, molecular mechanism in the pathogenesis of KD remains poorly understood. Serum samples were collected from 112 KD patients and 112 normal controls. Gene microarray was used to screen differently expressed genes. Genevestigator was applied to forecast co-expression genes of significant gene. iTRAQ proteomics analysis was used to verify significant genes and their co-expression genes. GO, COG, IPA and STRING were applied to undertake function categorization, pathway and network analysis separately. We identified 32 differentially expressed genes; IDH2, FEM1A, SSPB1 and their respective 30 co-expression genes; 68 differential proteins in KD. Significant proteins were categorized into 23 biological processes, 16 molecular functions, 16 cellular components, 15 function classes, 13 KD pathways and 1 network. IDH2, FEM1A, SSBP1, CALR, NDUFS2, IDH3A, GAPDH, TCA Cycle II (Eukaryotic) pathway and NADP repair pathway may play important roles in the pathogenesis of KD. Nature Publishing Group UK 2018-01-10 /pmc/articles/PMC5762769/ /pubmed/29321553 http://dx.doi.org/10.1038/s41598-017-18599-x Text en © The Author(s) 2017 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 Wang, Sen Yan, Rui Wang, Bin Du, Peiru Tan, Wuhong Lammi, Mikko J. Guo, Xiong Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title | Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title_full | Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title_fullStr | Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title_full_unstemmed | Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title_short | Prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of Keshan disease |
title_sort | prediction of co-expression genes and integrative analysis of gene microarray and proteomics profile of keshan disease |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5762769/ https://www.ncbi.nlm.nih.gov/pubmed/29321553 http://dx.doi.org/10.1038/s41598-017-18599-x |
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