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Identification of protein complexes associated with myocardial infarction using a bioinformatics approach
Myocardial infarction (MI) is a leading cause of mortality and disability worldwide. Determination of the molecular mechanisms underlying the disease is crucial for identifying possible therapeutic targets and designing effective treatments. On the basis that MI may be caused by dysfunctional protei...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131540/ https://www.ncbi.nlm.nih.gov/pubmed/30132549 http://dx.doi.org/10.3892/mmr.2018.9414 |
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author | Jiao, Nianhui Qi, Yongjie Lv, Changli Li, Hongjun Yang, Fengyong |
author_facet | Jiao, Nianhui Qi, Yongjie Lv, Changli Li, Hongjun Yang, Fengyong |
author_sort | Jiao, Nianhui |
collection | PubMed |
description | Myocardial infarction (MI) is a leading cause of mortality and disability worldwide. Determination of the molecular mechanisms underlying the disease is crucial for identifying possible therapeutic targets and designing effective treatments. On the basis that MI may be caused by dysfunctional protein complexes rather than single genes, the present study aimed to use a bioinformatics approach to identifying complexes that may serve important roles in the development of MI. By investigating the proteins involved in these identified complexes, numerous proteins have been reported that are related to MI, whereas other proteins interacted with MI-related proteins, which implied that these protein complexes may indeed be related to the development of MI. The protein complexes detected in the present study may aid in our understanding of the molecular mechanisms that underlie MI pathogenesis. |
format | Online Article Text |
id | pubmed-6131540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-61315402018-09-14 Identification of protein complexes associated with myocardial infarction using a bioinformatics approach Jiao, Nianhui Qi, Yongjie Lv, Changli Li, Hongjun Yang, Fengyong Mol Med Rep Articles Myocardial infarction (MI) is a leading cause of mortality and disability worldwide. Determination of the molecular mechanisms underlying the disease is crucial for identifying possible therapeutic targets and designing effective treatments. On the basis that MI may be caused by dysfunctional protein complexes rather than single genes, the present study aimed to use a bioinformatics approach to identifying complexes that may serve important roles in the development of MI. By investigating the proteins involved in these identified complexes, numerous proteins have been reported that are related to MI, whereas other proteins interacted with MI-related proteins, which implied that these protein complexes may indeed be related to the development of MI. The protein complexes detected in the present study may aid in our understanding of the molecular mechanisms that underlie MI pathogenesis. D.A. Spandidos 2018-10 2018-08-21 /pmc/articles/PMC6131540/ /pubmed/30132549 http://dx.doi.org/10.3892/mmr.2018.9414 Text en Copyright: © Jiao et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Jiao, Nianhui Qi, Yongjie Lv, Changli Li, Hongjun Yang, Fengyong Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title | Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title_full | Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title_fullStr | Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title_full_unstemmed | Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title_short | Identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
title_sort | identification of protein complexes associated with myocardial infarction using a bioinformatics approach |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6131540/ https://www.ncbi.nlm.nih.gov/pubmed/30132549 http://dx.doi.org/10.3892/mmr.2018.9414 |
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