Application of an Integrative Computational Framework in Trancriptomic Data of Atherosclerotic Mice Suggests Numerous Molecular Players
Joint Authors
Chatziioannou, Aristotelis
Kolisis, Fragiskos N.
Sirsjö, Allan
Papadodima, Olga
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-11-06
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Natural & Life Sciences (Multidisciplinary)
Biology
Abstract EN
Atherosclerosis is a multifactorial disease involving a lot of genes and proteins recruited throughout its manifestation.
The present study aims to exploit bioinformatic tools in order to analyze microarray data of atherosclerotic aortic lesions of ApoE knockout mice, a model widely used in atherosclerosis research.
In particular, a dynamic analysis was performed among young and aged animals, resulting in a list of 852 significantly altered genes.
Pathway analysis indicated alterations in critical cellular processes related to cell communication and signal transduction, immune response, lipid transport, and metabolism.
Cluster analysis partitioned the significantly differentiated genes in three major clusters of similar expression profile.
Promoter analysis applied to functional related groups of the same cluster revealed shared putative cis-elements potentially contributing to a common regulatory mechanism.
Finally, by reverse engineering the functional relevance of differentially expressed genes with specific cellular pathways, putative genes acting as hubs, were identified, linking functionally disparate cellular processes in the context of traditional molecular description.
American Psychological Association (APA)
Papadodima, Olga& Sirsjö, Allan& Kolisis, Fragiskos N.& Chatziioannou, Aristotelis. 2012. Application of an Integrative Computational Framework in Trancriptomic Data of Atherosclerotic Mice Suggests Numerous Molecular Players. Advances in Bioinformatics،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-472799
Modern Language Association (MLA)
Papadodima, Olga…[et al.]. Application of an Integrative Computational Framework in Trancriptomic Data of Atherosclerotic Mice Suggests Numerous Molecular Players. Advances in Bioinformatics No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-472799
American Medical Association (AMA)
Papadodima, Olga& Sirsjö, Allan& Kolisis, Fragiskos N.& Chatziioannou, Aristotelis. Application of an Integrative Computational Framework in Trancriptomic Data of Atherosclerotic Mice Suggests Numerous Molecular Players. Advances in Bioinformatics. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-472799
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-472799