Skip to main navigation Skip to search Skip to main content

TissGDB: Tissue-specific gene database in cancer

  • Pora Kim
  • , Aekyung Park
  • , Guangchun Han
  • , Hua Sun
  • , Peilin Jia
  • , Zhongming Zhao*
  • *Corresponding author for this work
  • University of Texas Health Science Center at Houston
  • Sunchon National University

Research output: Contribution to journalJournal articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)D1031-D1038
JournalNucleic Acids Research
Volume46
Issue numberD1
DOIs
StatePublished - 2018.01.1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Fingerprint

Dive into the research topics of 'TissGDB: Tissue-specific gene database in cancer'. Together they form a unique fingerprint.

Cite this