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Türei, D.* ; Valdeolivas, A.* ; Gul, L.* ; Palacio-Escat, N.* ; Klein, M. ; Ivanova, O.* ; Ölbei, M.* ; Gábor, A.* ; Theis, F.J. ; Módos, D.* ; Korcsmáros, T.* ; Saez-Rodriguez, J.*

Integrated intra- and intercellular signaling knowledge for multicellular omics analysis.

Mol. Syst. Biol. 17:e9923 (2021)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Molecular knowledge of biological processes is a cornerstone in omics data analysis. Applied to single-cell data, such analyses provide mechanistic insights into individual cells and their interactions. However, knowledge of intercellular communication is scarce, scattered across resources, and not linked to intracellular processes. To address this gap, we combined over 100 resources covering interactions and roles of proteins in inter- and intracellular signaling, as well as transcriptional and post-transcriptional regulation. We added protein complex information and annotations on function, localization, and role in diseases for each protein. The resource is available for human, and via homology translation for mouse and rat. The data are accessible via OmniPath's web service (https://omnipathdb.org/), a Cytoscape plug-in, and packages in R/Bioconductor and Python, providing access options for computational and experimental scientists. We created workflows with tutorials to facilitate the analysis of cell-cell interactions and affected downstream intracellular signaling processes. OmniPath provides a single access point to knowledge spanning intra- and intercellular processes for data analysis, as we demonstrate in applications studying SARS-CoV-2 infection and ulcerative colitis.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Intercellular Signaling ; Ligand-receptor Interactions ; Omics Integration ; Pathways ; Signaling Network
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 1744-4292
e-ISSN 1744-4292
Zeitschrift Molecular Systems Biology
Quellenangaben Band: 17, Heft: 3, Seiten: , Artikelnummer: e9923 Supplement: ,
Verlag EMBO Press
Verlagsort 111 River St, Hoboken 07030-5774, Nj Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Computational Biology (ICB)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-503800-001
Förderungen UK Research and Innovation|Biotechnology and Biological Sciences Research Council, Norwich Research Park Biosciences Doctoral Training Partnership grant
UK Research and Innovation|Biotechnology and Biological Sciences Research Council, ISP grant for Gut Microbes and Health
UKRI|Biotechnology and Biological Sciences Research Council (BBSRC)
Deutsche Forschungsgemeinschaft (DFG)
JRC COMBINE, partially funded by Bayer AG
DOI 10.15252/msb.20209923
WOS ID WOS:000636348400010
Scopus ID 85103430837
PubMed ID 33749993
Erfassungsdatum 2021-05-21
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