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Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods
Atherosclerosis is the primary cause of cardiovascular events and its molecular mechanism urgently needs to be clarified. In our study, atheromatous plaques (ATH) and macroscopically intact tissue (MIT) sampled from 32 patients were compared and an integrated series of bioinformatic microarray analy...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705461/ https://www.ncbi.nlm.nih.gov/pubmed/26742467 http://dx.doi.org/10.1038/srep18764 |
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author | Nai, Wenqing Threapleton, Diane Lu, Jingbo Zhang, Kewei Wu, Hongyuan Fu, You Wang, Yuanyuan Ou, Zejin Shan, Lanlan Ding, Yan Yu, Yanlin Dai, Meng |
author_facet | Nai, Wenqing Threapleton, Diane Lu, Jingbo Zhang, Kewei Wu, Hongyuan Fu, You Wang, Yuanyuan Ou, Zejin Shan, Lanlan Ding, Yan Yu, Yanlin Dai, Meng |
author_sort | Nai, Wenqing |
collection | PubMed |
description | Atherosclerosis is the primary cause of cardiovascular events and its molecular mechanism urgently needs to be clarified. In our study, atheromatous plaques (ATH) and macroscopically intact tissue (MIT) sampled from 32 patients were compared and an integrated series of bioinformatic microarray analyses were used to identify altered genes and pathways. Our work showed 816 genes were differentially expressed between ATH and MIT, including 443 that were up-regulated and 373 that were down-regulated in ATH tissues. GO functional-enrichment analysis for differentially expressed genes (DEGs) indicated that genes related to the “immune response” and “muscle contraction” were altered in ATHs. KEGG pathway-enrichment analysis showed that up-regulated DEGs were significantly enriched in the “FcεRI-mediated signaling pathway”, while down-regulated genes were significantly enriched in the “transforming growth factor-β signaling pathway”. Protein-protein interaction network and module analysis demonstrated that VAV1, SYK, LYN and PTPN6 may play critical roles in the network. Additionally, similar observations were seen in a validation study where SYK, LYN and PTPN6 were markedly elevated in ATH. All in all, identification of these genes and pathways not only provides new insights into the pathogenesis of atherosclerosis, but may also aid in the development of prognostic and therapeutic biomarkers for advanced atheroma. |
format | Online Article Text |
id | pubmed-4705461 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47054612016-01-19 Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods Nai, Wenqing Threapleton, Diane Lu, Jingbo Zhang, Kewei Wu, Hongyuan Fu, You Wang, Yuanyuan Ou, Zejin Shan, Lanlan Ding, Yan Yu, Yanlin Dai, Meng Sci Rep Article Atherosclerosis is the primary cause of cardiovascular events and its molecular mechanism urgently needs to be clarified. In our study, atheromatous plaques (ATH) and macroscopically intact tissue (MIT) sampled from 32 patients were compared and an integrated series of bioinformatic microarray analyses were used to identify altered genes and pathways. Our work showed 816 genes were differentially expressed between ATH and MIT, including 443 that were up-regulated and 373 that were down-regulated in ATH tissues. GO functional-enrichment analysis for differentially expressed genes (DEGs) indicated that genes related to the “immune response” and “muscle contraction” were altered in ATHs. KEGG pathway-enrichment analysis showed that up-regulated DEGs were significantly enriched in the “FcεRI-mediated signaling pathway”, while down-regulated genes were significantly enriched in the “transforming growth factor-β signaling pathway”. Protein-protein interaction network and module analysis demonstrated that VAV1, SYK, LYN and PTPN6 may play critical roles in the network. Additionally, similar observations were seen in a validation study where SYK, LYN and PTPN6 were markedly elevated in ATH. All in all, identification of these genes and pathways not only provides new insights into the pathogenesis of atherosclerosis, but may also aid in the development of prognostic and therapeutic biomarkers for advanced atheroma. Nature Publishing Group 2016-01-08 /pmc/articles/PMC4705461/ /pubmed/26742467 http://dx.doi.org/10.1038/srep18764 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Nai, Wenqing Threapleton, Diane Lu, Jingbo Zhang, Kewei Wu, Hongyuan Fu, You Wang, Yuanyuan Ou, Zejin Shan, Lanlan Ding, Yan Yu, Yanlin Dai, Meng Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title | Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title_full | Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title_fullStr | Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title_full_unstemmed | Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title_short | Identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
title_sort | identification of novel genes and pathways in carotid atheroma using integrated bioinformatic methods |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4705461/ https://www.ncbi.nlm.nih.gov/pubmed/26742467 http://dx.doi.org/10.1038/srep18764 |
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