Targeting myocardial infarction-specific protein interaction network using computational analyses

Nguyen Nguyen, Xiaolin Zhang, Yunji Wang, Hai Chao Han, Yufang Jin, Galen Schmidt, Richard A. Lange, Robert J. Chilton, Merry Lindsey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Myocardial infarction (MI) is a leading cause of deaths in the United States. Currently, the high mortality rate in MI is partially due to the lacking of diagnostic and prognostic biomarkers. Therefore, the purpose of this study was to develop a framework to understand MI-specific protein interaction network and identify MI-specific biomarkers with public databases and literatures. We established an MI-specific protein interaction network, examined the statistical significance of the MI-specific network compared to random networks, and evaluated the importance of the MI-specified proteins with its network properties and research intensity. The established MI-specific protein interaction network had less sub-networks and more links in addition to higher measurements on closeness centrality, clustering coefficient and degree centrality, suggesting a strong connectivity of hub proteins, which confirmed the determination of key proteins based on structural evaluation. In summary, this study established a framework to integrate published data in literatures and provided a promising way to identify biomarkers post-myocardial infarction.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE International Workshop on Genomic Signal Processing and Statistics
Pages198-201
Number of pages4
StatePublished - 2011
Externally publishedYes
Event2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11 - San Antonio, TX, United States
Duration: Dec 4 2011Dec 6 2011

Other

Other2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11
CountryUnited States
CitySan Antonio, TX
Period12/4/1112/6/11

Fingerprint

Protein Interaction Maps
Myocardial Infarction
Proteins
Biomarkers
Cluster Analysis
Cause of Death
Databases

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology (miscellaneous)
  • Computational Theory and Mathematics
  • Signal Processing
  • Biomedical Engineering

Cite this

Nguyen, N., Zhang, X., Wang, Y., Han, H. C., Jin, Y., Schmidt, G., ... Lindsey, M. (2011). Targeting myocardial infarction-specific protein interaction network using computational analyses. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics (pp. 198-201). [6169479]

Targeting myocardial infarction-specific protein interaction network using computational analyses. / Nguyen, Nguyen; Zhang, Xiaolin; Wang, Yunji; Han, Hai Chao; Jin, Yufang; Schmidt, Galen; Lange, Richard A.; Chilton, Robert J.; Lindsey, Merry.

Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 198-201 6169479.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nguyen, N, Zhang, X, Wang, Y, Han, HC, Jin, Y, Schmidt, G, Lange, RA, Chilton, RJ & Lindsey, M 2011, Targeting myocardial infarction-specific protein interaction network using computational analyses. in Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics., 6169479, pp. 198-201, 2011 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS'11, San Antonio, TX, United States, 12/4/11.
Nguyen N, Zhang X, Wang Y, Han HC, Jin Y, Schmidt G et al. Targeting myocardial infarction-specific protein interaction network using computational analyses. In Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. p. 198-201. 6169479
Nguyen, Nguyen ; Zhang, Xiaolin ; Wang, Yunji ; Han, Hai Chao ; Jin, Yufang ; Schmidt, Galen ; Lange, Richard A. ; Chilton, Robert J. ; Lindsey, Merry. / Targeting myocardial infarction-specific protein interaction network using computational analyses. Proceedings - IEEE International Workshop on Genomic Signal Processing and Statistics. 2011. pp. 198-201
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