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TissGDB: tissue-specific gene database in cancer
Tissue-specific gene expression is critical in understanding biological processes, physiological conditions, and disease. The identification and appropriate use of tissue-specific genes (TissGenes) will provide important insights into disease mechanisms and organ-specific therapeutic targets. To bet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753286/ https://www.ncbi.nlm.nih.gov/pubmed/29036590 http://dx.doi.org/10.1093/nar/gkx850 |
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author | Kim, Pora Park, Aekyung Han, Guangchun Sun, Hua Jia, Peilin Zhao, Zhongming |
author_facet | Kim, Pora Park, Aekyung Han, Guangchun Sun, Hua Jia, Peilin Zhao, Zhongming |
author_sort | Kim, Pora |
collection | PubMed |
description | Tissue-specific gene expression is critical in understanding biological processes, physiological conditions, and disease. The identification and appropriate use of tissue-specific genes (TissGenes) will provide important insights into disease mechanisms and organ-specific therapeutic targets. To better understand the tissue-specific features for each cancer type and to advance the discovery of clinically relevant genes or mutations, we built TissGDB (Tissue specific Gene DataBase in cancer) available at http://zhaobioinfo.org/TissGDB. We collected and curated 2461 tissue specific genes (TissGenes) across 22 tissue types that matched the 28 cancer types of The Cancer Genome Atlas (TCGA) from three representative tissue-specific gene expression resources: The Human Protein Atlas (HPA), Tissue-specific Gene Expression and Regulation (TiGER), and Genotype-Tissue Expression (GTEx). For these 2461 TissGenes, we performed gene expression, somatic mutation, and prognostic marker-based analyses across 28 cancer types using TCGA data. Our analyses identified hundreds of TissGenes, including genes that universally kept or lost tissue-specific gene expression, with other features: cancer type-specific isoform expression, fusion with oncogenes or tumor suppressor genes, and markers for protective or risk prognosis. TissGDB provides seven categories of annotations: TissGeneSummary, TissGeneExp, TissGene-miRNA, TissGeneMut, TissGeneNet, TissGeneProg, TissGeneClin. |
format | Online Article Text |
id | pubmed-5753286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57532862018-01-05 TissGDB: tissue-specific gene database in cancer Kim, Pora Park, Aekyung Han, Guangchun Sun, Hua Jia, Peilin Zhao, Zhongming Nucleic Acids Res Database Issue Tissue-specific gene expression is critical in understanding biological processes, physiological conditions, and disease. The identification and appropriate use of tissue-specific genes (TissGenes) will provide important insights into disease mechanisms and organ-specific therapeutic targets. To better understand the tissue-specific features for each cancer type and to advance the discovery of clinically relevant genes or mutations, we built TissGDB (Tissue specific Gene DataBase in cancer) available at http://zhaobioinfo.org/TissGDB. We collected and curated 2461 tissue specific genes (TissGenes) across 22 tissue types that matched the 28 cancer types of The Cancer Genome Atlas (TCGA) from three representative tissue-specific gene expression resources: The Human Protein Atlas (HPA), Tissue-specific Gene Expression and Regulation (TiGER), and Genotype-Tissue Expression (GTEx). For these 2461 TissGenes, we performed gene expression, somatic mutation, and prognostic marker-based analyses across 28 cancer types using TCGA data. Our analyses identified hundreds of TissGenes, including genes that universally kept or lost tissue-specific gene expression, with other features: cancer type-specific isoform expression, fusion with oncogenes or tumor suppressor genes, and markers for protective or risk prognosis. TissGDB provides seven categories of annotations: TissGeneSummary, TissGeneExp, TissGene-miRNA, TissGeneMut, TissGeneNet, TissGeneProg, TissGeneClin. Oxford University Press 2018-01-04 2017-09-25 /pmc/articles/PMC5753286/ /pubmed/29036590 http://dx.doi.org/10.1093/nar/gkx850 Text en © The Author(s) 2017. 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 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 Kim, Pora Park, Aekyung Han, Guangchun Sun, Hua Jia, Peilin Zhao, Zhongming TissGDB: tissue-specific gene database in cancer |
title | TissGDB: tissue-specific gene database in cancer |
title_full | TissGDB: tissue-specific gene database in cancer |
title_fullStr | TissGDB: tissue-specific gene database in cancer |
title_full_unstemmed | TissGDB: tissue-specific gene database in cancer |
title_short | TissGDB: tissue-specific gene database in cancer |
title_sort | tissgdb: tissue-specific gene database in cancer |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753286/ https://www.ncbi.nlm.nih.gov/pubmed/29036590 http://dx.doi.org/10.1093/nar/gkx850 |
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