Mining common pathway deregulation profiles in lung diseases

Abstract:

This study is aimed at investigating lung diseases described by common pathomechanisms based on evaluation of gene expression profiles in molecular pathways. 16 datasets containing 428 samples for 22 health conditions were taken from Gene Expression Omnibus. Self organizing maps (Wirth, H. et al.BMC Bioinformatics 2011;12:306) and cluster analysis with dynamic tree cut were used for gene expression based disease clustering. In-house pathway signal flow algorithm and phylogenetic analysis were applied to find common pathway deregulation patterns in clusters.

Analysis resulted in grouping the 22 conditions into 5 clusters (fig.1). PSF and phylogenetic analysis identified unique pathway deregulation patterns for each cluster (fig.2).

Projects: CapSys - Systems Medicine of Community Acquired Pneumonia

Publication type: Not specified

Journal: European Respiratory Journal

Human Diseases: Lung disease

Citation:

Date Published: 2014

URL: https://erj.ersjournals.com/content/44/Suppl_58/P2021

Registered Mode: manually

Authors: A. Arakelyan, L. Nersisyan, Henry Löffler-Wirth, Hans Binder

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Created: 20th Apr 2020 at 11:36

Last updated: 7th Dec 2021 at 17:58

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