Investigating Dysregulated Pathways in Dilated Cardiomyopathy from Pathway Interaction Network

Investigating Dysregulated Pathways in Dilated Cardiomyopathy from Pathway Interaction Network The aim of this study was to identify dysregulated pathways for the diagnosis and treatment of dilated cardiomyopathy (DCM) using pathway interaction network analysis. Methods: Transcriptome data of DCM, protein-protein interaction (PPI) data, and pathway data were recruited and preprocessed. Then, the pathway interaction network was constructed based on the gene expression analysis and gene co-expression analysis. Meanwhile, pathway activity analysis was performed, and the pathway with the greatest activity change was defined as the seed pathway. Staring from the seed pathway, the dysregulated pathways that could serve as diagnostic biomarker was extracted from the pathway interaction network using support vector machines. Results: Combining gene expression and co-expression data, we constructed the pathway interaction network, covering 4175 pathway interactions. Via pathway activity analysis, cap-dependent translation initiation with the greatest activity change was defined as the seed pathway. Staring from cap-dependent translation initiation, a total of 21 dysregulated pathways were obtained, which could discriminate DCM samples from controls with the area under the curve value of 0.95. Conclusion: A pathway interaction network was implemented to identify dysrgulated pathways that can best discriminate DCM samples from controls. We identified a total of 21 dysregulated pathways in DCM, which can serve as diagnostic biomarkers for DCM. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Investigating Dysregulated Pathways in Dilated Cardiomyopathy from Pathway Interaction Network

Loading next page...
 
/lp/springer_journal/investigating-dysregulated-pathways-in-dilated-cardiomyopathy-from-EBGzzIamE2
Publisher
Pleiades Publishing
Copyright
Copyright © 2018 by Pleiades Publishing, Inc.
Subject
Biomedicine; Human Genetics; Animal Genetics and Genomics; Microbial Genetics and Genomics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795418020151
Publisher site
See Article on Publisher Site

Abstract

The aim of this study was to identify dysregulated pathways for the diagnosis and treatment of dilated cardiomyopathy (DCM) using pathway interaction network analysis. Methods: Transcriptome data of DCM, protein-protein interaction (PPI) data, and pathway data were recruited and preprocessed. Then, the pathway interaction network was constructed based on the gene expression analysis and gene co-expression analysis. Meanwhile, pathway activity analysis was performed, and the pathway with the greatest activity change was defined as the seed pathway. Staring from the seed pathway, the dysregulated pathways that could serve as diagnostic biomarker was extracted from the pathway interaction network using support vector machines. Results: Combining gene expression and co-expression data, we constructed the pathway interaction network, covering 4175 pathway interactions. Via pathway activity analysis, cap-dependent translation initiation with the greatest activity change was defined as the seed pathway. Staring from cap-dependent translation initiation, a total of 21 dysregulated pathways were obtained, which could discriminate DCM samples from controls with the area under the curve value of 0.95. Conclusion: A pathway interaction network was implemented to identify dysrgulated pathways that can best discriminate DCM samples from controls. We identified a total of 21 dysregulated pathways in DCM, which can serve as diagnostic biomarkers for DCM.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Mar 12, 2018

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off