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Identification of protein complexes associated with myocardial infarction using a bioinformatics approach

  • Authors:
    • Nianhui Jiao
    • Yongjie Qi
    • Changli Lv
    • Hongjun Li
    • Fengyong Yang
  • View Affiliations / Copyright

    Affiliations: Intensive Care Unit, Laiwu People's Hospital, Laiwu, Shandong 271199, P.R. China, Emergency Department, Laiwu People's Hospital, Laiwu, Shandong 271199, P.R. China, Emergency Department, The Central Hospital of Tai'an, Tai'an, Shandong 271000, P.R. China
    Copyright: © Jiao et al. This is an open access article distributed under the terms of Creative Commons Attribution License.
  • Pages: 3569-3576
    |
    Published online on: August 21, 2018
       https://doi.org/10.3892/mmr.2018.9414
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Abstract

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.
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Copy and paste a formatted citation
Spandidos Publications style
Jiao N, Qi Y, Lv C, Li H and Yang F: Identification of protein complexes associated with myocardial infarction using a bioinformatics approach. Mol Med Rep 18: 3569-3576, 2018.
APA
Jiao, N., Qi, Y., Lv, C., Li, H., & Yang, F. (2018). Identification of protein complexes associated with myocardial infarction using a bioinformatics approach. Molecular Medicine Reports, 18, 3569-3576. https://doi.org/10.3892/mmr.2018.9414
MLA
Jiao, N., Qi, Y., Lv, C., Li, H., Yang, F."Identification of protein complexes associated with myocardial infarction using a bioinformatics approach". Molecular Medicine Reports 18.4 (2018): 3569-3576.
Chicago
Jiao, N., Qi, Y., Lv, C., Li, H., Yang, F."Identification of protein complexes associated with myocardial infarction using a bioinformatics approach". Molecular Medicine Reports 18, no. 4 (2018): 3569-3576. https://doi.org/10.3892/mmr.2018.9414
Copy and paste a formatted citation
x
Spandidos Publications style
Jiao N, Qi Y, Lv C, Li H and Yang F: Identification of protein complexes associated with myocardial infarction using a bioinformatics approach. Mol Med Rep 18: 3569-3576, 2018.
APA
Jiao, N., Qi, Y., Lv, C., Li, H., & Yang, F. (2018). Identification of protein complexes associated with myocardial infarction using a bioinformatics approach. Molecular Medicine Reports, 18, 3569-3576. https://doi.org/10.3892/mmr.2018.9414
MLA
Jiao, N., Qi, Y., Lv, C., Li, H., Yang, F."Identification of protein complexes associated with myocardial infarction using a bioinformatics approach". Molecular Medicine Reports 18.4 (2018): 3569-3576.
Chicago
Jiao, N., Qi, Y., Lv, C., Li, H., Yang, F."Identification of protein complexes associated with myocardial infarction using a bioinformatics approach". Molecular Medicine Reports 18, no. 4 (2018): 3569-3576. https://doi.org/10.3892/mmr.2018.9414
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