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SelTarbase, a database of human mononucleotide-microsatellite mutations and their potential impact to tumorigenesis and immunology.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2010 Jan; Vol. 38 (Database issue), pp. D682-9. Date of Electronic Publication: 2009 Oct 09. - Publication Year :
- 2010
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Abstract
- 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.
- Subjects :
- Amino Acid Sequence
Base Sequence
Computational Biology trends
DNA Repair
Humans
Information Storage and Retrieval methods
Internet
Microsatellite Instability
Molecular Sequence Data
Software
Computational Biology methods
Databases, Genetic
Databases, Nucleic Acid
Immune System metabolism
Microsatellite Repeats genetics
Mutation
Neoplasms genetics
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 38
- Issue :
- Database issue
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 19820113
- Full Text :
- https://doi.org/10.1093/nar/gkp839