{"doi":"10.1101/2020.10.02.324467","title":"Proteomic analysis of microtubule inner proteins (MIPs) in Rib72 null <i>Tetrahymena</i> cells reveals functional MIPs","abstract":"Abstract Motile cilia and flagella are built from stable populations of doublet microtubules that comprise their axonemes. Their unique stability is brought about, at least in part, by a network of M icrotubule I nner P roteins (MIPs) found in the lumen of their doublet microtubules. Rib72A and Rib72B were identified as microtubule inner proteins (MIPs) in the motile cilia of Tetrahymena thermophila . Loss of these proteins leads to ciliary defects and loss of multiple MIPs. We performed mass spectrometry coupled with proteomic analysis and bioinformatics to identify the MIPs lost in RIB72A/B knockout (KO) Tetrahymena cells. From this analysis we identified a number of candidate MIPs and pursued one, Fap115, for functional characterization. We find that loss of Fap115 results in disrupted cell swimming and aberrant ciliary beating. Cryo-electron tomography reveals that Fap115 localizes to MIP6a in the A-tubule of the doublet microtubules. Overall, our results highlight the complex relationship between MIPs, ciliary structure, and ciliary function.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2020,"id":127409,"datarank":0.10397207708399181,"base_score":0.6931471805599453,"endowment":0.6931471805599453,"self_citation_contribution":0.10397207708399181,"citation_network_contribution":0.0,"self_endowment_contribution":0.10397207708399181,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9563,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":450850,"name":"Brian A. Bayless","orcid":"0000-0002-6734-9464","position":1,"is_corresponding":false},{"id":268594,"name":"Sam Li","orcid":"0000-0002-0210-8192","position":2,"is_corresponding":false},{"id":576144,"name":"Daniel Stoddard","orcid":"0000-0001-9666-7923","position":3,"is_corresponding":false},{"id":125931,"name":"Westley Heydeck","orcid":"0000-0002-8706-9865","position":4,"is_corresponding":false},{"id":550588,"name":"Christopher C. Ebmeier","orcid":"0000-0001-7940-6190","position":5,"is_corresponding":false},{"id":63071,"name":"Lauren Anderson","orcid":"0000-0001-5725-9329","position":6,"is_corresponding":false},{"id":576692,"name":"Tess Gunnels","orcid":null,"position":7,"is_corresponding":false},{"id":576693,"name":"Chidambaram Nachiappan","orcid":null,"position":8,"is_corresponding":false},{"id":576145,"name":"Justen B. Whittall","orcid":"0000-0001-9597-9036","position":9,"is_corresponding":false},{"id":550593,"name":"William M. Old","orcid":"0000-0002-9499-8478","position":10,"is_corresponding":false},{"id":98189,"name":"David A. Agard","orcid":"0000-0003-3512-695X","position":11,"is_corresponding":false},{"id":320834,"name":"Daniela Nicastro","orcid":"0000-0002-0122-7173","position":12,"is_corresponding":false},{"id":125675,"name":"Mark Winey","orcid":"0000-0002-9028-9033","position":13,"is_corresponding":false},{"id":450851,"name":"Amy S. Fabritius","orcid":"0000-0001-6142-3574","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-18T23:15:30.930746Z","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":[]}