SignaLink3: a multi-layered resource to uncover tissue-specific signaling networks.
File(s)SignaLink3_NAR-2022.pdf (2.18 MB)
Published version
Author(s)
Type
Journal Article
Abstract
Signaling networks represent the molecular mechanisms controlling a cell's response to various internal or external stimuli. Most currently available signaling databases contain only a part of the complex network of intertwining pathways, leaving out key interactions or processes. Hence, we have developed SignaLink3 (http://signalink.org/), a value-added knowledge-base that provides manually curated data on signaling pathways and integrated data from several types of databases (interaction, regulation, localisation, disease, etc.) for humans, and three major animal model organisms. SignaLink3 contains over 400 000 newly added human protein-protein interactions resulting in a total of 700 000 interactions for Homo sapiens, making it one of the largest integrated signaling network resources. Next to H. sapiens, SignaLink3 is the only current signaling network resource to provide regulatory information for the model species Caenorhabditis elegans and Danio rerio, and the largest resource for Drosophila melanogaster. Compared to previous versions, we have integrated gene expression data as well as subcellular localization of the interactors, therefore uniquely allowing tissue-, or compartment-specific pathway interaction analysis to create more accurate models. Data is freely available for download in widely used formats, including CSV, PSI-MI TAB or SQL.
Date Issued
2022-01-07
Date Acceptance
2021-09-22
Citation
Nucleic Acids Research, 2022, 50 (D1), pp.D701-D709
ISSN
0305-1048
Publisher
Oxford University Press
Start Page
D701
End Page
D709
Journal / Book Title
Nucleic Acids Research
Volume
50
Issue
D1
Copyright Statement
© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/34634810
PII: 6389625
Subjects
05 Environmental Sciences
06 Biological Sciences
08 Information and Computing Sciences
Developmental Biology
Publication Status
Published
Coverage Spatial
England
Date Publish Online
2021-10-11