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Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis

BACKGROUND: To identify critical genes and biological pathways in acute lung injury (ALI), a comparative analysis of gene expression profiles of patients with ALI + sepsis compared with patients with sepsis alone were performed with bioinformatic tools. METHODS: GSE10474 was downloaded from Gene Exp...

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Autores principales: Guo, Zhiqiang, Zhao, Chuncheng, Wang, Zheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403757/
https://www.ncbi.nlm.nih.gov/pubmed/25257390
http://dx.doi.org/10.1186/s13000-014-0176-x
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author Guo, Zhiqiang
Zhao, Chuncheng
Wang, Zheng
author_facet Guo, Zhiqiang
Zhao, Chuncheng
Wang, Zheng
author_sort Guo, Zhiqiang
collection PubMed
description BACKGROUND: To identify critical genes and biological pathways in acute lung injury (ALI), a comparative analysis of gene expression profiles of patients with ALI + sepsis compared with patients with sepsis alone were performed with bioinformatic tools. METHODS: GSE10474 was downloaded from Gene Expression Omnibus, including a collective of 13 whole blood samples with ALI + sepsis and 21 whole blood samples with sepsis alone. After pre-treatment with robust multichip averaging (RMA) method, differential analysis was conducted using simpleaffy package based upon t-test and fold change. Hierarchical clustering was also performed using function hclust from package stats. Beisides, functional enrichment analysis was conducted using iGepros. Moreover, the gene regulatory network was constructed with information from Kyoto Encyclopedia of Genes and Genomes (KEGG) and then visualized by Cytoscape. RESULTS: A total of 128 differentially expressed genes (DEGs) were identified, including 47 up- and 81 down-regulated genes. The significantly enriched functions included negative regulation of cell proliferation, regulation of response to stimulus and cellular component morphogenesis. A total of 27 DEGs were significantly enriched in 16 KEGG pathways, such as protein digestion and absorption, fatty acid metabolism, amoebiasis, etc. Furthermore, the regulatory network of these 27 DEGs was constructed, which involved several key genes, including protein tyrosine kinase 2 (PTK2), v-src avian sarcoma (SRC) and Caveolin 2 (CAV2). CONCLUSION: PTK2, SRC and CAV2 may be potential markers for diagnosis and treatment of ALI. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/5865162912987143
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spelling pubmed-44037572015-04-21 Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis Guo, Zhiqiang Zhao, Chuncheng Wang, Zheng Diagn Pathol Research BACKGROUND: To identify critical genes and biological pathways in acute lung injury (ALI), a comparative analysis of gene expression profiles of patients with ALI + sepsis compared with patients with sepsis alone were performed with bioinformatic tools. METHODS: GSE10474 was downloaded from Gene Expression Omnibus, including a collective of 13 whole blood samples with ALI + sepsis and 21 whole blood samples with sepsis alone. After pre-treatment with robust multichip averaging (RMA) method, differential analysis was conducted using simpleaffy package based upon t-test and fold change. Hierarchical clustering was also performed using function hclust from package stats. Beisides, functional enrichment analysis was conducted using iGepros. Moreover, the gene regulatory network was constructed with information from Kyoto Encyclopedia of Genes and Genomes (KEGG) and then visualized by Cytoscape. RESULTS: A total of 128 differentially expressed genes (DEGs) were identified, including 47 up- and 81 down-regulated genes. The significantly enriched functions included negative regulation of cell proliferation, regulation of response to stimulus and cellular component morphogenesis. A total of 27 DEGs were significantly enriched in 16 KEGG pathways, such as protein digestion and absorption, fatty acid metabolism, amoebiasis, etc. Furthermore, the regulatory network of these 27 DEGs was constructed, which involved several key genes, including protein tyrosine kinase 2 (PTK2), v-src avian sarcoma (SRC) and Caveolin 2 (CAV2). CONCLUSION: PTK2, SRC and CAV2 may be potential markers for diagnosis and treatment of ALI. VIRTUAL SLIDES: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/5865162912987143 BioMed Central 2014-09-26 /pmc/articles/PMC4403757/ /pubmed/25257390 http://dx.doi.org/10.1186/s13000-014-0176-x Text en © Guo et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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
Guo, Zhiqiang
Zhao, Chuncheng
Wang, Zheng
Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title_full Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title_fullStr Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title_full_unstemmed Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title_short Gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
title_sort gene expression profiles analysis identifies key genes for acute lung injury in patients with sepsis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4403757/
https://www.ncbi.nlm.nih.gov/pubmed/25257390
http://dx.doi.org/10.1186/s13000-014-0176-x
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