{"doi":"10.1016/j.celrep.2018.09.084","title":"Active Ribosome Profiling with RiboLace","abstract":null,"journal":"Cell Reports","year":2018,"id":590485,"datarank":2.543023236230088,"base_score":4.465908118654584,"endowment":4.465908118654584,"self_citation_contribution":0.6698862177981877,"citation_network_contribution":1.8731370184319005,"self_endowment_contribution":0.6698862177981877,"citer_contribution":1.8731370184319005,"corpus_percentile":null,"corpus_rank":null,"citation_count":86,"citer_count":75,"citers_with_citation_signal":64,"citers_with_endowment":64,"datacite_reuse_total":0,"is_dataset":false,"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":102745,"name":"Toma Tebaldi","orcid":"0000-0002-0625-1631","position":1,"is_corresponding":false},{"id":1328458,"name":"Fabio Lauria","orcid":"0000-0002-3314-8429","position":2,"is_corresponding":false},{"id":1510798,"name":"Paola Bernabò","orcid":null,"position":3,"is_corresponding":false},{"id":1510799,"name":"Rodolfo F. 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However, current Ribo-seq approaches lack the ability to distinguish between fragments protected by either ribosomes in active translation or inactive ribosomes. To overcome this possible limitation, we developed RiboLace, a method based on an original puromycin-containing molecule capable of isolating active ribosomes by means of an antibody-free and tag-free pull-down approach. RiboLace is fast, works reliably with low amounts of input material, and can be easily and rapidly applied both in vitro and in vivo, thereby generating a global snapshot of active ribosome footprints at single nucleotide resolution.","is_dataset_classified":null,"base_score":4.465908118654584,"endowment":4.465908118654584,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"30355487","pmcid":null,"openalex_id":"https://openalex.org/W2951085267","authors":[],"funders":[{"funder_name":"Wellcome Trust","grant_id":"106098/Z/14/Z","title":null}],"total_grants":1,"fwci":2.307,"citation_percentile":0.89674768,"influential_citations":0,"citation_trend":[{"year":2019,"count":4},{"year":2020,"count":11},{"year":2021,"count":13},{"year":2022,"count":11},{"year":2023,"count":14},{"year":2024,"count":10},{"year":2025,"count":15},{"year":2026,"count":8}],"oa_status":"gold","license":"cc-by-nc-nd","oa_locations":[{"url":"http://www.cell.com/article/S2211124718315444/pdf","host_type":"journal"},{"url":"http://www.cell.com/article/S2211124718315444/pdf","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S2211124718315444?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S2211124718315444?httpAccept=text/plain","host_type":"publisher"},{"url":"https://doi.org/10.1016/j.celrep.2018.09.084","host_type":"journal"},{"url":"https://pubmed.ncbi.nlm.nih.gov/30355487","host_type":"repository"},{"url":"http://hdl.handle.net/11572/223072","host_type":"repository"},{"url":"https://www.research.ed.ac.uk/en/publications/2d0b5ade-47a4-4bd7-bdfe-7610558e3d5b","host_type":"repository"},{"url":"https://doaj.org/article/1214066ccb2d4d4d9dd2c4ac84486768","host_type":"repository"},{"url":"https://iris.unitn.it/bitstream/11572/223072/1/Cell_reports_2018_Max.pdf","host_type":"repository"},{"url":"https://www.research.ed.ac.uk/files/76585519/1_s2.0_S2211124718315444_main.pdf","host_type":"repository"}],"fields_of_study":["RNA and protein synthesis mechanisms","Genomics and Phylogenetic Studies","Machine Learning in Bioinformatics","Animals","Cell Line","High-Throughput Nucleotide Sequencing","Humans","Mice","Microspheres","Puromycin","RNA, Messenger","Ribosomes"],"mesh_terms":["Animals","Cell Line","Humans","Microspheres","Puromycin","Ribosomes","RNA, Messenger","Mice","High-Throughput Nucleotide Sequencing"],"keywords":["Ribosome profiling","Computational biology","Profiling (computer programming)","Biology","Ribosome","Genetics","Computer science","RNA","Gene","polysomal profiling","protein synthesis","proteome","puromycin","translation","translational control","translatome"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-07-24T23:05:49.840862Z","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":[]}