title: TSGene 2.0: an updated literature-based knowledgebase for tumor suppressor genes.
abstract: Tumor suppressor genes (TSGs) are a major type of gatekeeper genes in the cell growth. A knowledgebase with the systematic collection and curation of TSGs in multiple cancer types is critically important for further studying their biological functions as well as for developing therapeutic strategies. Since its development in 2012, the Tumor Suppressor Gene database (TSGene), has become a popular resource in the cancer research community. Here, we reported the TSGene version 2.0, which has substantial updates of contents (e.g. up-to-date literature and pan-cancer genomic data collection and curation), data types (noncoding RNAs and protein-coding genes) and content accessibility. Specifically, the current TSGene 2.0 contains 1217 human TSGs (1018 protein-coding and 199 non-coding genes) curated from over 9000 articles. Additionally, TSGene 2.0 provides thousands of expression and mutation patterns derived from pan-cancer data of The Cancer Genome Atlas. A new web interface is available at http://bioinfo.mc.vanderbilt.edu/TSGene/. Systematic analyses of 199 non-coding TSGs provide numerous cancer-specific non-coding mutational events for further screening and clinical use. Intriguingly, we identified 49 protein-coding TSGs that were consistently down-regulated in 11 cancer types. In summary, TSGene 2.0, which is the only available database for TSGs, provides the most updated TSGs and their features in pan-cancer.
authors.affiliation: School of Engineering, Faculty of Science, Health, Education and Engineering, University of the Sunshine Coast, Maroochydore DC, Queensland 4558, Australia.
authors.forename: Min
authors.initials: M
authors.lastname: Zhao
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
authors.forename: Pora
authors.initials: P
authors.lastname: Kim
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
authors.forename: Ramkrishna
authors.initials: R
authors.lastname: Mitra
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA.
authors.forename: Junfei
authors.initials: J
authors.lastname: Zhao
authors.affiliation: Department of Biomedical Informatics, Vanderbilt University School of Medicine, Nashville, TN 37232, USA Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232, USA Department of Psychiatry, Vanderbilt University School of Medicine, Nashville, TN 37212, USA School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA zhongming.zhao@vanderbilt.edu.
authors.forename: Zhongming
authors.initials: Z
authors.lastname: Zhao
mesh_terms: D030561:Databases, Nucleic Acid; D015536:Down-Regulation; D015972:Gene Expression Regulation, Neoplastic; D016147:Genes, Tumor Suppressor; D006801:Humans; D051188:Knowledge Bases; D035683:MicroRNAs / Q000235:genetics; D058977:Molecular Sequence Annotation; D009154:Mutation; D009369:Neoplasms / Q000235:genetics; D039781:PubMed; D062085:RNA, Long Noncoding / Q000235:genetics; D025521:Tumor Suppressor Proteins / Q000235:genetics
chemical_list: D035683:MicroRNAs; D062085:RNA, Long Noncoding; D025521:Tumor Suppressor Proteins