{"doi":"10.1101/2024.11.11.619147","title":"Master regulators governing protein abundance across ten human cancer types","abstract":"<h4>ABSTRACT</h4> Protein abundance correlates only moderately with mRNA levels, and are modulated post-transcriptionally by a network of regulators including ribosomes, RNA-binding proteins (RBPs), and the proteasome. Here, we identified Ma ster P rotein abundance R egulators (MaPRs) across ten cancer types by devising a new computational pipeline that jointly analyzed transcriptomes and proteomes from 1,305 tumor samples. We identified 232 to 1,394 MaPRs per cancer type, mediating up to 79% of post- transcriptional regulatory networks. MaPRs exhibit high network connectivity, strong genetic dependency in cancer cells, and significant enrichment for RBPs. Combining tumor up-regulation, druggability, and target network analyses identified cancer-specific vulnerabilities. MaPRs predict tumor proteomic subtypes more accurately than other proteins. Finally, significant portions of RBP MaPR-target relationships were validated by experimental evidence from eCLIP binding and knockdown assays. Our findings uncover central MaPRs that govern post-transcriptional networks, highlighting diverse processes underlying human proteome regulation and identifying key regulators in cancer biology.","journal":null,"year":2024,"id":3947,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.0638,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-11-12","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":39836,"name":"Megan Wojciechowicz","orcid":null,"position":1,"is_corresponding":false},{"id":39837,"name":"Jordan Rosen","orcid":null,"position":2,"is_corresponding":false},{"id":39839,"name":"Yansheng Liu","orcid":"0000-0002-2626-3912","position":5,"is_corresponding":false},{"id":1998,"name":"Kuan-lin Huang","orcid":"0000-0002-3237-4248","position":6,"is_corresponding":false},{"id":2334,"name":"Abdülkadir Elmas","orcid":"0000-0002-7999-5770","position":7,"is_corresponding":false},{"id":39840,"name":"Won‐Min Song","orcid":"0000-0003-0948-119X","position":8,"is_corresponding":false},{"id":23571,"name":"Zishan Wang","orcid":"0000-0002-5980-4711","position":0,"is_corresponding":true}],"reference_count":65,"raw_metadata":null,"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}