Identification of critical paralog groups with indispensable roles in the regulation of signaling flow

Modos, Dezso, Brooks, Johanne, Fazekas, David, Ari, Eszter, Vellai, Tibor, Csermely, Peter, Korcsmaros, Tamas and Lenti, Katalin (2016) Identification of critical paralog groups with indispensable roles in the regulation of signaling flow. Scientific Reports, 6. ISSN 2045-2322

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Abstract

Extensive cross-talk between signaling pathways is required to integrate the myriad of extracellular signal combinations at the cellular level. Gene duplication events may lead to the emergence of novel functions, leaving groups of similar genes - termed paralogs - in the genome. To distinguish critical paralog groups (CPGs) from other paralogs in human signaling networks, we developed a signaling network-based method using cross-talk annotation and tissue-specific signaling flow analysis. 75 CPGs were found with higher degree, betweenness centrality, closeness, and ‘bowtieness’ when compared to other paralogs or other proteins in the signaling network. CPGs had higher diversity in all these measures, with more varied biological functions and more specific post-transcriptional regulation than non-critical paralog groups (non-CPG). Using TGF-beta, Notch and MAPK pathways as examples, SMAD2/3, NOTCH1/2/3 and MEK3/6-p38 CPGs were found to regulate the signaling flow of their respective pathways. Additionally, CPGs showed a higher mutation rate in both inherited diseases and cancer, and were enriched in drug targets. In conclusion, the results revealed two distinct types of paralog groups in the signaling network: CPGs and non-CPGs. Thus highlighting the importance of CPGs as compared to non-CPGs in drug discovery and disease pathogenesis.

Item Type:	Article
Additional Information:	This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Uncontrolled Keywords:	sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
Related URLs:	http://www.nature.com/articles/srep38588
Depositing User:	Pure Connector
Date Deposited:	14 Dec 2016 00:07
Last Modified:	22 Oct 2022 01:59
URI:	https://ueaeprints.uea.ac.uk/id/eprint/61716
DOI:	10.1038/srep38588

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