Literature DB >> 20451796

Integration of gene-expression profiles and pathway analysis in ascending thoracic aortic aneurysms.

Jae Hyun Kim1, Chan-Young Na, Si Young Choi, Hwan Wook Kim, Young Du Kim, Jong Bum Kwon, Mee Young Chung, Jong Myeon Hong, Chan Beom Park.   

Abstract

BACKGROUND: Despite the increasing incidence of ascending thoracic aortic aneurysms, their pathogenesis and molecular mechanisms remain unknown. The aim of this study was to identify the biological pathways of genes that are expressed differentially in ascending aortic aneurysms.
METHODS: Aneurysm wall tissues were obtained from thoracic aortic aneurysms during their repair and normal thoracic aortas from organ transplant patients. The differential expression of genes was analyzed by NimbleGen microarrays. The biological pathways and processes were identified using Kyoto Encyclopedia of Genes and Genome pathway analysis and gene ontology analysis.
RESULTS: Among 45,034 genes, 95 were differentially expressed (>two-fold change compared with control). A total of 76 genes were up-regulated and 19 genes were down-regulated in patients with ascending thoracic aneurysm. Analysis of the Kyoto Encyclopedia of Genes and Genomes pathways revealed 26 biologically functional pathways in the following categories: focal adhesion, cell junctions, peroxisome proliferator-activated receptor signaling pathway, extracellular matrix-receptor interaction, T-cell-receptor signaling pathway, B-cell-receptor signaling pathway, and regulation of the actin cytoskeleton. Differentially expressed genes were associated with 123 different gene ontology biological processes: transport, signal transduction, inflammatory response, chemotaxis, and immune response.
CONCLUSION: We identified that differentially expressed genes are associated with the pathways that are mainly involved in interactions between cells and the extracellular matrix, and with immune function. The reported data provide useful information on the molecular mechanisms underlying the formation of ascending aortic aneurysms. Copyright 2010 Annals of Vascular Surgery Inc. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20451796     DOI: 10.1016/j.avsg.2010.01.007

Source DB:  PubMed          Journal:  Ann Vasc Surg        ISSN: 0890-5096            Impact factor:   1.466


  5 in total

1.  Differences in genetic signaling, and not mechanical properties of the wall, are linked to ascending aortic aneurysms in fibulin-4 knockout mice.

Authors:  Jungsil Kim; Jesse D Procknow; Hiromi Yanagisawa; Jessica E Wagenseil
Journal:  Am J Physiol Heart Circ Physiol       Date:  2015-05-01       Impact factor: 4.733

2.  Notch1 haploinsufficiency causes ascending aortic aneurysms in mice.

Authors:  Sara N Koenig; Stephanie LaHaye; James D Feller; Patrick Rowland; Kan N Hor; Aaron J Trask; Paul Ml Janssen; Freddy Radtke; Brenda Lilly; Vidu Garg
Journal:  JCI Insight       Date:  2017-11-02

3.  A Preliminary microRNA Analysis of Non Syndromic Thoracic Aortic Aneurysms.

Authors:  C Patuzzo; A Pasquali; G Malerba; E Trabetti; Pf Pignatti; M Tessari; G Faggian
Journal:  Balkan J Med Genet       Date:  2012-12       Impact factor: 0.519

4.  DNA induces conformational changes in a recombinant human minichromosome maintenance complex.

Authors:  Emma L Hesketh; Richard P Parker-Manuel; Yuriy Chaban; Rabab Satti; Dawn Coverley; Elena V Orlova; James P J Chong
Journal:  J Biol Chem       Date:  2015-02-03       Impact factor: 5.157

5.  Integrated analysis of immunocyte infiltration and differential gene expression in tricuspid aortic valve-associated thoracic aortic aneurysms.

Authors:  Xiaoping Fan; Jihai Peng; Liming Lei; Jie He; Jinsong Huang; Dingwen Zheng; Wenliu Xu; Shihao Cai; Jimei Chen
Journal:  Ann Transl Med       Date:  2020-03
  5 in total

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