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SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology

About 15% of human colorectal cancers and, at varying degrees, other tumor entities as well as nearly all tumors related to Lynch syndrome are hallmarked by microsatellite instability (MSI) as a result of a defective mismatch repair system. The functional impact of resulting mutations depends on the...

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Autores principales: Woerner, Stefan M., Yuan, Yan P., Benner, Axel, Korff, Sebastian, von Knebel Doeberitz, Magnus, Bork, Peer
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808963/
https://www.ncbi.nlm.nih.gov/pubmed/19820113
http://dx.doi.org/10.1093/nar/gkp839
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author Woerner, Stefan M.
Yuan, Yan P.
Benner, Axel
Korff, Sebastian
von Knebel Doeberitz, Magnus
Bork, Peer
author_facet Woerner, Stefan M.
Yuan, Yan P.
Benner, Axel
Korff, Sebastian
von Knebel Doeberitz, Magnus
Bork, Peer
author_sort Woerner, Stefan M.
collection PubMed
description About 15% of human colorectal cancers and, at varying degrees, other tumor entities as well as nearly all tumors related to Lynch syndrome are hallmarked by microsatellite instability (MSI) as a result of a defective mismatch repair system. The functional impact of resulting mutations depends on their genomic localization. Alterations within coding mononucleotide repeat tracts (MNRs) can lead to protein truncation and formation of neopeptides, whereas alterations within untranslated MNRs can alter transcription level or transcript stability. These mutations may provide selective advantage or disadvantage to affected cells. They may further concern the biology of microsatellite unstable cells, e.g. by generating immunogenic peptides induced by frameshifts mutations. The Selective Targets database (http://www.seltarbase.org) is a curated database of a growing number of public MNR mutation data in microsatellite unstable human tumors. Regression calculations for various MSI–H tumor entities indicating statistically deviant mutation frequencies predict TGFBR2, BAX, ACVR2A and others that are shown or highly suspected to be involved in MSI tumorigenesis. Many useful tools for further analyzing genomic DNA, derived wild-type and mutated cDNAs and peptides are integrated. A comprehensive database of all human coding, untranslated, non-coding RNA- and intronic MNRs (MNR_ensembl) is also included. Herewith, SelTarbase presents as a plenty instrument for MSI-carcinogenesis-related research, diagnostics and therapy.
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spelling pubmed-28089632010-01-20 SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology Woerner, Stefan M. Yuan, Yan P. Benner, Axel Korff, Sebastian von Knebel Doeberitz, Magnus Bork, Peer Nucleic Acids Res Articles About 15% of human colorectal cancers and, at varying degrees, other tumor entities as well as nearly all tumors related to Lynch syndrome are hallmarked by microsatellite instability (MSI) as a result of a defective mismatch repair system. The functional impact of resulting mutations depends on their genomic localization. Alterations within coding mononucleotide repeat tracts (MNRs) can lead to protein truncation and formation of neopeptides, whereas alterations within untranslated MNRs can alter transcription level or transcript stability. These mutations may provide selective advantage or disadvantage to affected cells. They may further concern the biology of microsatellite unstable cells, e.g. by generating immunogenic peptides induced by frameshifts mutations. The Selective Targets database (http://www.seltarbase.org) is a curated database of a growing number of public MNR mutation data in microsatellite unstable human tumors. Regression calculations for various MSI–H tumor entities indicating statistically deviant mutation frequencies predict TGFBR2, BAX, ACVR2A and others that are shown or highly suspected to be involved in MSI tumorigenesis. Many useful tools for further analyzing genomic DNA, derived wild-type and mutated cDNAs and peptides are integrated. A comprehensive database of all human coding, untranslated, non-coding RNA- and intronic MNRs (MNR_ensembl) is also included. Herewith, SelTarbase presents as a plenty instrument for MSI-carcinogenesis-related research, diagnostics and therapy. Oxford University Press 2010-01 2009-10-09 /pmc/articles/PMC2808963/ /pubmed/19820113 http://dx.doi.org/10.1093/nar/gkp839 Text en © The Author(s) 2009. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Woerner, Stefan M.
Yuan, Yan P.
Benner, Axel
Korff, Sebastian
von Knebel Doeberitz, Magnus
Bork, Peer
SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title_full SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title_fullStr SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title_full_unstemmed SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title_short SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
title_sort seltarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2808963/
https://www.ncbi.nlm.nih.gov/pubmed/19820113
http://dx.doi.org/10.1093/nar/gkp839
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