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Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans

BACKGROUND: Uncovering novel components of signal transduction pathways and their interactions within species is a central task in current biological research. Orthology alignment and functional genomics approaches allow the effective identification of signaling proteins by cross-species data integr...

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Autores principales: Korcsmáros, Tamás, Szalay, Máté S., Rovó, Petra, Palotai, Robin, Fazekas, Dávid, Lenti, Katalin, Farkas, Illés J., Csermely, Péter, Vellai, Tibor
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3086880/
https://www.ncbi.nlm.nih.gov/pubmed/21559328
http://dx.doi.org/10.1371/journal.pone.0019240
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author Korcsmáros, Tamás
Szalay, Máté S.
Rovó, Petra
Palotai, Robin
Fazekas, Dávid
Lenti, Katalin
Farkas, Illés J.
Csermely, Péter
Vellai, Tibor
author_facet Korcsmáros, Tamás
Szalay, Máté S.
Rovó, Petra
Palotai, Robin
Fazekas, Dávid
Lenti, Katalin
Farkas, Illés J.
Csermely, Péter
Vellai, Tibor
author_sort Korcsmáros, Tamás
collection PubMed
description BACKGROUND: Uncovering novel components of signal transduction pathways and their interactions within species is a central task in current biological research. Orthology alignment and functional genomics approaches allow the effective identification of signaling proteins by cross-species data integration. Recently, functional annotation of orthologs was transferred across organisms to predict novel roles for proteins. Despite the wide use of these methods, annotation of complete signaling pathways has not yet been transferred systematically between species. PRINCIPAL FINDINGS: Here we introduce the concept of ‘signalog’ to describe potential novel signaling function of a protein on the basis of the known signaling role(s) of its ortholog(s). To identify signalogs on genomic scale, we systematically transferred signaling pathway annotations among three animal species, the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster, and humans. Using orthology data from InParanoid and signaling pathway information from the SignaLink database, we predict 88 worm, 92 fly, and 73 human novel signaling components. Furthermore, we developed an on-line tool and an interactive orthology network viewer to allow users to predict and visualize components of orthologous pathways. We verified the novelty of the predicted signalogs by literature search and comparison to known pathway annotations. In C. elegans, 6 out of the predicted novel Notch pathway members were validated experimentally. Our approach predicts signaling roles for 19 human orthodisease proteins and 5 known drug targets, and suggests 14 novel drug target candidates. CONCLUSIONS: Orthology-based pathway membership prediction between species enables the identification of novel signaling pathway components that we referred to as signalogs. Signalogs can be used to build a comprehensive signaling network in a given species. Such networks may increase the biomedical utilization of C. elegans and D. melanogaster. In humans, signalogs may identify novel drug targets and new signaling mechanisms for approved drugs.
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spelling pubmed-30868802011-05-10 Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans Korcsmáros, Tamás Szalay, Máté S. Rovó, Petra Palotai, Robin Fazekas, Dávid Lenti, Katalin Farkas, Illés J. Csermely, Péter Vellai, Tibor PLoS One Research Article BACKGROUND: Uncovering novel components of signal transduction pathways and their interactions within species is a central task in current biological research. Orthology alignment and functional genomics approaches allow the effective identification of signaling proteins by cross-species data integration. Recently, functional annotation of orthologs was transferred across organisms to predict novel roles for proteins. Despite the wide use of these methods, annotation of complete signaling pathways has not yet been transferred systematically between species. PRINCIPAL FINDINGS: Here we introduce the concept of ‘signalog’ to describe potential novel signaling function of a protein on the basis of the known signaling role(s) of its ortholog(s). To identify signalogs on genomic scale, we systematically transferred signaling pathway annotations among three animal species, the nematode Caenorhabditis elegans, the fruit fly Drosophila melanogaster, and humans. Using orthology data from InParanoid and signaling pathway information from the SignaLink database, we predict 88 worm, 92 fly, and 73 human novel signaling components. Furthermore, we developed an on-line tool and an interactive orthology network viewer to allow users to predict and visualize components of orthologous pathways. We verified the novelty of the predicted signalogs by literature search and comparison to known pathway annotations. In C. elegans, 6 out of the predicted novel Notch pathway members were validated experimentally. Our approach predicts signaling roles for 19 human orthodisease proteins and 5 known drug targets, and suggests 14 novel drug target candidates. CONCLUSIONS: Orthology-based pathway membership prediction between species enables the identification of novel signaling pathway components that we referred to as signalogs. Signalogs can be used to build a comprehensive signaling network in a given species. Such networks may increase the biomedical utilization of C. elegans and D. melanogaster. In humans, signalogs may identify novel drug targets and new signaling mechanisms for approved drugs. Public Library of Science 2011-05-03 /pmc/articles/PMC3086880/ /pubmed/21559328 http://dx.doi.org/10.1371/journal.pone.0019240 Text en Korcsmáros et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Korcsmáros, Tamás
Szalay, Máté S.
Rovó, Petra
Palotai, Robin
Fazekas, Dávid
Lenti, Katalin
Farkas, Illés J.
Csermely, Péter
Vellai, Tibor
Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title_full Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title_fullStr Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title_full_unstemmed Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title_short Signalogs: Orthology-Based Identification of Novel Signaling Pathway Components in Three Metazoans
title_sort signalogs: orthology-based identification of novel signaling pathway components in three metazoans
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3086880/
https://www.ncbi.nlm.nih.gov/pubmed/21559328
http://dx.doi.org/10.1371/journal.pone.0019240
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