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The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases
Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly implicated in multiple pathologies. Further facilitated by their druggability, kinases are a major focus of therapeutic development efforts in diseases such as cancer, infectious disease and autoimmune di...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778917/ https://www.ncbi.nlm.nih.gov/pubmed/33079988 http://dx.doi.org/10.1093/nar/gkaa853 |
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author | Berginski, Matthew E Moret, Nienke Liu, Changchang Goldfarb, Dennis Sorger, Peter K Gomez, Shawn M |
author_facet | Berginski, Matthew E Moret, Nienke Liu, Changchang Goldfarb, Dennis Sorger, Peter K Gomez, Shawn M |
author_sort | Berginski, Matthew E |
collection | PubMed |
description | Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly implicated in multiple pathologies. Further facilitated by their druggability, kinases are a major focus of therapeutic development efforts in diseases such as cancer, infectious disease and autoimmune disorders. While their importance is clear, the role or biological function of nearly one-third of kinases is largely unknown. Here, we describe a data resource, the Dark Kinase Knowledgebase (DKK; https://darkkinome.org), that is specifically focused on providing data and reagents for these understudied kinases to the broader research community. Supported through NIH’s Illuminating the Druggable Genome (IDG) Program, the DKK is focused on data and knowledge generation for 162 poorly studied or ‘dark’ kinases. Types of data provided through the DKK include parallel reaction monitoring (PRM) peptides for quantitative proteomics, protein interactions, NanoBRET reagents, and kinase-specific compounds. Higher-level data is similarly being generated and consolidated such as tissue gene expression profiles and, longer-term, functional relationships derived through perturbation studies. Associated web tools that help investigators interrogate both internal and external data are also provided through the site. As an evolving resource, the DKK seeks to continually support and enhance knowledge on these potentially high-impact druggable targets. |
format | Online Article Text |
id | pubmed-7778917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77789172021-01-06 The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases Berginski, Matthew E Moret, Nienke Liu, Changchang Goldfarb, Dennis Sorger, Peter K Gomez, Shawn M Nucleic Acids Res Database Issue Kinases form the backbone of numerous cell signaling pathways, with their dysfunction similarly implicated in multiple pathologies. Further facilitated by their druggability, kinases are a major focus of therapeutic development efforts in diseases such as cancer, infectious disease and autoimmune disorders. While their importance is clear, the role or biological function of nearly one-third of kinases is largely unknown. Here, we describe a data resource, the Dark Kinase Knowledgebase (DKK; https://darkkinome.org), that is specifically focused on providing data and reagents for these understudied kinases to the broader research community. Supported through NIH’s Illuminating the Druggable Genome (IDG) Program, the DKK is focused on data and knowledge generation for 162 poorly studied or ‘dark’ kinases. Types of data provided through the DKK include parallel reaction monitoring (PRM) peptides for quantitative proteomics, protein interactions, NanoBRET reagents, and kinase-specific compounds. Higher-level data is similarly being generated and consolidated such as tissue gene expression profiles and, longer-term, functional relationships derived through perturbation studies. Associated web tools that help investigators interrogate both internal and external data are also provided through the site. As an evolving resource, the DKK seeks to continually support and enhance knowledge on these potentially high-impact druggable targets. Oxford University Press 2020-10-20 /pmc/articles/PMC7778917/ /pubmed/33079988 http://dx.doi.org/10.1093/nar/gkaa853 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Berginski, Matthew E Moret, Nienke Liu, Changchang Goldfarb, Dennis Sorger, Peter K Gomez, Shawn M The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title | The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title_full | The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title_fullStr | The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title_full_unstemmed | The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title_short | The Dark Kinase Knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
title_sort | dark kinase knowledgebase: an online compendium of knowledge and experimental results of understudied kinases |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778917/ https://www.ncbi.nlm.nih.gov/pubmed/33079988 http://dx.doi.org/10.1093/nar/gkaa853 |
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