{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Johnson TS"],"funding":["National Research Service","U.S. National Library of Medicine","Comprehensive Cancer Center","NCI NIH HHS","NLM NIH HHS"],"pagination":["giz046"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC6486473"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["8(5)"],"pubmed_abstract":["Background
Long thought \"relics\" of evolution, not until recently have pseudogenes been of medical interest regarding regulation in cancer. Often, these regulatory roles are a direct by-product of their close sequence homology to protein-coding genes. Novel pseudogene-gene (PGG) functional associations can be identified through the integration of biomedical data, such as sequence homology, functional pathways, gene expression, pseudogene expression, and microRNA expression. However, not all of the information has been integrated, and almost all previous pseudogene studies relied on 1:1 pseudogene-parent gene relationships without leveraging other homologous genes/pseudogenes.Results
We produce PGG families that expand beyond the current 1:1 paradigm. First, we construct exp"],"journal":["GigaScience"],"pubmed_title":["PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers."],"pmcid":["PMC6486473"],"funding_grant_id":["P30 CA016058","F31 LM013056","T15 LM011270","4T15LM011270-05","P30CA016058","1F31LM013056-01"],"pubmed_authors":["Franz E","Johnson TS","Li S","Huang Z","Zhang Y","Dan Li S","Huang K","Campbell MJ"],"additional_accession":[]},"is_claimable":false,"name":"PseudoFuN: Deriving functional potentials of pseudogenes from integrative relationships with genes and microRNAs across 32 cancers.","description":"Background
Long thought \"relics\" of evolution, not until recently have pseudogenes been of medical interest regarding regulation in cancer. Often, these regulatory roles are a direct by-product of their close sequence homology to protein-coding genes. Novel pseudogene-gene (PGG) functional associations can be identified through the integration of biomedical data, such as sequence homology, functional pathways, gene expression, pseudogene expression, and microRNA expression. However, not all of the information has been integrated, and almost all previous pseudogene studies relied on 1:1 pseudogene-parent gene relationships without leveraging other homologous genes/pseudogenes.Results
We produce PGG families that expand beyond the current 1:1 paradigm. First, we construct exp","dates":{"release":"2019-01-01T00:00:00Z","publication":"2019 May","modification":"2026-04-30T02:35:18.962Z","creation":"2019-06-06T22:50:01Z"},"accession":"S-EPMC6486473","cross_references":{"pubmed":["31029062"],"doi":["10.1093/gigascience/giz046"]}}