NDLI: Identification of Coexpressed Gene Modules across Multiple Brain Diseases by a Biclustering Analysis on Integrated Gene Expression Data

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Identification of Coexpressed Gene Modules across Multiple Brain Diseases by a Biclustering Analysis on Integrated Gene Expression Data

Content Provider	ACM Digital Library
Author	Yi, Gwan-Su Hwang, Taeho Cha, Kihoon Oh, Kimin
Abstract	It has been reported that several brain diseases could share symptoms at clinical level, suggesting the necessity and possibility to develop therapeutics. In this paper, we carried out an integrated gene expression analysis on several microarray datasets of neurodegenerative diseases and psychiatric disorders to discover the uniqueness and commonness in their molecular basis. First, we selected and combined three sets of microarray data including eight brain diseases. Second, we applied a correlation-based biclustering approach, BICLIC [1], to efficiently identify coexpressed gene modules that are correlated in individual or multiple combinations of brain diseases. Third, Gene ontology-based functional enrichment analysis is performed to analyze functional characteristics of the identified cross-disease or and disease-specific modules. In this approach, we could examine various sets of correlated genes significantly in both single and multiple diseases. As a result, in total, 4,307 coexpressed gene modules were turned out to be common to two or more of brain diseases. Among them, eight modules having different combinations of total 16 genes were involved correlatively in more than seven brain diseases. The functional analysis showed that the multi-disease specific modules were more associated to higher brain functions like cognitive functions than single disease specific modules. The results in this study provide valuable resources to further investigate the key molecular players affecting on brain diseases in both transnosological or disease specific manner.
Starting Page	17
Ending Page	17
Page Count	1
File Format	PDF
ISBN	9781450312752
DOI	10.1145/2665970.2665978
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-11-07
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Neurodegenerative and psychiatric disorders Biclustering Coexpressed gene modules
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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