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ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps

Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and...

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Autores principales: Balamurali, Deepak, Gorohovski, Alessandro, Detroja, Rajesh, Palande, Vikrant, Raviv-Shay, Dorith, Frenkel-Morgenstern, Milana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145514/
https://www.ncbi.nlm.nih.gov/pubmed/31747015
http://dx.doi.org/10.1093/nar/gkz1025
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author Balamurali, Deepak
Gorohovski, Alessandro
Detroja, Rajesh
Palande, Vikrant
Raviv-Shay, Dorith
Frenkel-Morgenstern, Milana
author_facet Balamurali, Deepak
Gorohovski, Alessandro
Detroja, Rajesh
Palande, Vikrant
Raviv-Shay, Dorith
Frenkel-Morgenstern, Milana
author_sort Balamurali, Deepak
collection PubMed
description Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and progression. ChiTaRS 5.0 (http://chitars.md.biu.ac.il/) is the latest and most comprehensive chimeric transcript repository, with 111 582 annotated entries from eight species, including 23 167 known human cancer breakpoints. The database includes unique information correlating chimeric breakpoints with 3D chromatin contact maps, generated from public datasets of chromosome conformation capture techniques (Hi–C). In this update, we have added curated information on druggable fusion targets matched with chimeric breakpoints, which are applicable to precision medicine in cancers. The introduction of a new section that lists chimeric RNAs in various cell-lines is another salient feature. Finally, using text-mining techniques, novel chimeras in Alzheimer's disease, schizophrenia, dyslexia and other diseases were collected in ChiTaRS. Thus, this improved version is an extensive catalogue of chimeras from multiple species. It extends our understanding of the evolution of chimeric transcripts in eukaryotes and contributes to the analysis of 3D genome conformational changes and the functional role of chimeras in the etiopathogenesis of cancers and other complex diseases.
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spelling pubmed-71455142020-04-13 ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps Balamurali, Deepak Gorohovski, Alessandro Detroja, Rajesh Palande, Vikrant Raviv-Shay, Dorith Frenkel-Morgenstern, Milana Nucleic Acids Res Database Issue Chimeric RNA transcripts are formed when exons from two genes fuse together, often due to chromosomal translocations, transcriptional errors or trans-splicing effect. While these chimeric RNAs produce functional proteins only in certain cases, they play a significant role in disease phenotyping and progression. ChiTaRS 5.0 (http://chitars.md.biu.ac.il/) is the latest and most comprehensive chimeric transcript repository, with 111 582 annotated entries from eight species, including 23 167 known human cancer breakpoints. The database includes unique information correlating chimeric breakpoints with 3D chromatin contact maps, generated from public datasets of chromosome conformation capture techniques (Hi–C). In this update, we have added curated information on druggable fusion targets matched with chimeric breakpoints, which are applicable to precision medicine in cancers. The introduction of a new section that lists chimeric RNAs in various cell-lines is another salient feature. Finally, using text-mining techniques, novel chimeras in Alzheimer's disease, schizophrenia, dyslexia and other diseases were collected in ChiTaRS. Thus, this improved version is an extensive catalogue of chimeras from multiple species. It extends our understanding of the evolution of chimeric transcripts in eukaryotes and contributes to the analysis of 3D genome conformational changes and the functional role of chimeras in the etiopathogenesis of cancers and other complex diseases. Oxford University Press 2020-01-08 2019-11-20 /pmc/articles/PMC7145514/ /pubmed/31747015 http://dx.doi.org/10.1093/nar/gkz1025 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Balamurali, Deepak
Gorohovski, Alessandro
Detroja, Rajesh
Palande, Vikrant
Raviv-Shay, Dorith
Frenkel-Morgenstern, Milana
ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title_full ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title_fullStr ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title_full_unstemmed ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title_short ChiTaRS 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3D chromatin maps
title_sort chitars 5.0: the comprehensive database of chimeric transcripts matched with druggable fusions and 3d chromatin maps
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145514/
https://www.ncbi.nlm.nih.gov/pubmed/31747015
http://dx.doi.org/10.1093/nar/gkz1025
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