{"doi":"10.1073/pnas.2014165117","title":"Pheno-RNA, a method to associate genes with a specific phenotype, identifies genes linked to cellular transformation","abstract":"<jats:title>Significance</jats:title>\n                  <jats:p>Pheno-RNA is a new idea/method to identify genes important for a phenotype. It involves 1) generating a phenotypic series that involves different experimental conditions to yield a measurable phenotype, 2) performing transcriptional profiling under all the conditions, and 3) correlating gene expression profiles with phenotypic strength. Using this method, we identified ∼200 genes whose expression profiles over 17 conditions show a remarkably high correlation to the level of transformation. As expected, these ∼200 genes are enriched in biological categories important for transformation. Within these categories, some genes have very high correlations with the transformation phenotype, whereas others do not. Ninety genes with high correlations have not been previously linked to cancer, suggesting heretofore unknown genes with a role in cancer.</jats:p>","journal":"Proceedings of the National Academy of Sciences","year":2020,"id":14134,"datarank":0.6178516893006099,"base_score":2.3978952727983707,"endowment":2.3978952727983707,"self_citation_contribution":0.3596842909197557,"citation_network_contribution":0.2581673983808542,"self_endowment_contribution":0.3596842909197557,"citer_contribution":0.2581673983808542,"corpus_percentile":null,"corpus_rank":null,"citation_count":10,"citer_count":10,"citers_with_citation_signal":9,"citers_with_endowment":9,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":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":11009,"name":"Kevin Struhl","orcid":"0000-0002-4181-7856","position":1,"is_corresponding":false},{"id":112973,"name":"Rabih Darwiche","orcid":"0000-0003-1909-4927","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"base_score":2.3978952727983707,"endowment":2.3978952727983707,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"33144504","pmcid":"PMC7682411","openalex_id":"https://openalex.org/W3097153535","authors":[],"funders":[{"funder_name":"HHS | NIH | National Cancer Institute","grant_id":"CA107486","title":null},{"funder_name":"Swiss National Science Foundation","grant_id":"P2FRP3_178090","title":null},{"funder_name":"NCI NIH HHS","grant_id":"R01 CA107486","title":null},{"funder_name":"Swiss National Science Foundation","grant_id":"178090","title":"Elucidating The Regulatory Circuits During Transformation and Cancer Stem Cell Formation"}],"total_grants":4,"fwci":0.5835,"citation_percentile":0.65913299,"influential_citations":0,"citation_trend":[{"year":2021,"count":1},{"year":2022,"count":3},{"year":2023,"count":3},{"year":2024,"count":1},{"year":2025,"count":2}],"oa_status":"green","license":"https://www.pnas.org/site/aboutpnas/licenses.xhtml","oa_locations":[{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7682411","host_type":"repository"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7682411","host_type":"GREEN"},{"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7682411","host_type":"repository"},{"url":"http://www.pnas.org/syndication/doi/10.1073/pnas.2014165117","host_type":"publisher"},{"url":"https://pnas.org/doi/pdf/10.1073/pnas.2014165117","host_type":"publisher"},{"url":"https://doi.org/10.1073/pnas.2014165117","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/33144504","host_type":"repository"},{"url":"https://www.pnas.org/content/pnas/117/46/28925.full.pdf","host_type":""},{"url":"https://dx.doi.org/10.1073/pnas.2014165117","host_type":""}],"fields_of_study":["Molecular Biology Techniques and Applications","RNA modifications and cancer","Genomics and Chromatin Dynamics","Biology","Medicine","0301 basic medicine","0303 health sciences","03 medical and health sciences","Animals","Biological Variation, Population","Cell Line, Transformed","Cell Line, Tumor","Cell Transformation, Neoplastic","Gene Expression Profiling","Gene Expression Regulation, Neoplastic","Genetic Association Studies","Humans","Phenotype","RNA","Transformation, Genetic"],"mesh_terms":["Biological Variation, Population","Animals","Cell Line, Transformed","Cell Transformation, Neoplastic","Humans","Phenotype","RNA","Transformation, Genetic","Gene Expression Regulation, Neoplastic","Gene Expression Profiling","Cell Line, Tumor","Genetic Association Studies"],"keywords":["Phenotype","Gene","Biology","Transformation (genetics)","Genetics","Gene expression","Gene expression profiling","RNA","Computational biology","Cancer","Phenotypic analysis","Cellular Transformation","Mrna Profiling","Gene Expression Regulation, Neoplastic","Cell Transformation, Neoplastic","Transformation, Genetic","Biological Variation, Population","Cell Line, Tumor","Animals","Humans","Genetic Association Studies","Cell Line, Transformed"],"sdg_mappings":[{"sdg_number":3,"sdg_label":"3. 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