{"doi":"10.1093/nar/gkx850","title":"TissGDB: tissue-specific gene database in cancer","abstract":null,"journal":"Nucleic Acids Research","year":2018,"id":591631,"datarank":3.32024438737915,"base_score":4.912654885736052,"endowment":4.912654885736052,"self_citation_contribution":0.736898232860408,"citation_network_contribution":2.583346154518742,"self_endowment_contribution":0.736898232860408,"citer_contribution":2.583346154518742,"corpus_percentile":93.2,"corpus_rank":878,"citation_count":135,"citer_count":74,"citers_with_citation_signal":58,"citers_with_endowment":58,"datacite_reuse_total":25,"is_dataset":true,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1513705,"name":"Aekyung Park","orcid":null,"position":1,"is_corresponding":false},{"id":104278,"name":"Guangchun Han","orcid":"0000-0001-9277-2507","position":2,"is_corresponding":false},{"id":441806,"name":"Hua Sun","orcid":"0000-0003-2169-0808","position":3,"is_corresponding":false},{"id":753,"name":"Peilin Jia","orcid":"0000-0003-4523-4153","position":4,"is_corresponding":false},{"id":13182,"name":"Zhongming Zhao","orcid":"0000-0002-3477-0914","position":5,"is_corresponding":false},{"id":362122,"name":"Pora Kim","orcid":"0000-0002-8321-6864","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"TissGDB: tissue-specific gene database in cancer","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.","is_dataset_classified":null,"base_score":4.912654885736052,"endowment":4.912654885736052,"datacite_reuse_total":25,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"29036590","pmcid":"PMC5753286","openalex_id":"https://openalex.org/W2760377877","authors":[],"funders":[{"funder_name":"NLM NIH HHS","grant_id":"R01 LM012806","title":null},{"funder_name":"NCI NIH HHS","grant_id":"R21 CA196508","title":null},{"funder_name":"National Institutes of Health","grant_id":"1R01LM012806-01","title":"Predicting Phenotype by Using Transcriptomic Alteration as Endophenotype"},{"funder_name":"National Institutes of Health","grant_id":"1R21CA196508-01A1","title":"MicroRNA and Transcription Factor Co-regulation in Cancer"}],"total_grants":4,"fwci":2.939,"citation_percentile":0.92404524,"influential_citations":0,"citation_trend":[{"year":2017,"count":3},{"year":2018,"count":13},{"year":2019,"count":10},{"year":2020,"count":11},{"year":2021,"count":46},{"year":2022,"count":12},{"year":2023,"count":13},{"year":2024,"count":24},{"year":2025,"count":3}],"oa_status":"gold","license":"cc-by-nc","oa_locations":[{"url":"https://academic.oup.com/nar/article-pdf/46/D1/D1031/23162569/gkx850.pdf","host_type":"journal"},{"url":"https://academic.oup.com/nar/article-pdf/46/D1/D1031/23162569/gkx850.pdf","host_type":"publisher"},{"url":"http://academic.oup.com/nar/article-pdf/46/D1/D1031/23162569/gkx850.pdf","host_type":"publisher"},{"url":"https://doi.org/10.1093/nar/gkx850","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/29036590","host_type":"repository"},{"url":"http://doi.org/10.1093/nar/gkx850","host_type":"repository"},{"url":"https://europepmc.org/articles/PMC5753286","host_type":"Europe_PMC"},{"url":"https://europepmc.org/articles/PMC5753286?pdf=render","host_type":"Europe_PMC"},{"url":"http://dx.doi.org/10.1093/nar/gkx850","host_type":""},{"url":"https://dx.doi.org/10.1093/nar/gkx850","host_type":""}],"fields_of_study":["Cancer Genomics and Diagnostics","Molecular Biology Techniques and Applications","RNA modifications and cancer","0301 basic medicine","0303 health sciences","03 medical and health sciences","Databases, Genetic","Gene Expression","Humans","MicroRNAs","Mutation","Neoplasms","Organ Specificity","Prognosis","User-Computer Interface"],"mesh_terms":["Humans","Mutation","Neoplasms","Organ Specificity","Prognosis","User-Computer Interface","Gene Expression","Databases, Genetic","MicroRNAs"],"keywords":["Biology","Gene","Human Protein Atlas","Gene expression","Cancer","Gene isoform","Genetics","Fusion gene","Regulation of gene expression","Gene expression profiling","Computational biology","Protein expression","Prognosis","MicroRNAs","User-Computer Interface","Organ Specificity","Neoplasms","Databases, Genetic","Mutation","Database Issue","Humans"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. 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