{"doi":"10.1016/j.bioactmat.2024.08.002","title":"High throughput and rapid isolation of extracellular vesicles and exosomes with purity using size exclusion liquid chromatography","abstract":"Extracellular vesicles (EVs) have emerged as potential biomarkers for diagnosing a range of diseases without invasive procedures. Extracellular vesicles also offer advantages compared to synthetic vesicles for delivery of various drugs; however, limitations in segregating EVs from other particles and soluble proteins have led to inconsistent EV retrieval rates with low levels of purity. Here, we report a new high-yield (88.47 %) and rapid (<20 min) EV isolation method termed size exclusion – fast protein liquid chromatography (SE-FPLC). We show SE-FPLC can effectively isolate EVs from multiple sources including EVs derived from human and mouse cells and serum samples. The results indicate that SE-FPLC can successfully remove highly abundant protein contaminants such as albumin and lipoprotein complexes, which can represent a major hurdle in large scale isolation of EVs. The high-yield nature of SE-FPLC allows for easy industrial scaling up of EV production for various clinical utilities. SE-FPLC also enables analysis of small volumes of blood for use in point-of-care diagnostics in the clinic. Collectively, SE-FPLC offers many advantages over current EV isolation methods and offers rapid clinical translation. • Size exclusion – fast performance liquid chromatography (SE-FPLC) enables rapid isolation of extracellular vesicles (EVs). • SE-FPLC removes albumin and lipoprotein contaminants from EVs. • High-yield EV isolation by SE-FPLC enables scale-up of EV production.","journal":"Bioactive Materials","year":2024,"id":419663,"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":39,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9514,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":994540,"name":"Kristen Harris","orcid":"0009-0008-1166-0123","position":1,"is_corresponding":false},{"id":1168251,"name":"Kent A. Arian","orcid":null,"position":2,"is_corresponding":false},{"id":566593,"name":"Lihua Ma","orcid":null,"position":3,"is_corresponding":false},{"id":939521,"name":"Beatriz Schueng Zancanela","orcid":null,"position":4,"is_corresponding":false},{"id":827110,"name":"Kaira A. Church","orcid":"0000-0002-3982-8476","position":5,"is_corresponding":false},{"id":235975,"name":"Kathleen M. McAndrews","orcid":"0000-0002-4092-4991","position":6,"is_corresponding":false},{"id":104298,"name":"Raghu Kalluri","orcid":"0000-0002-2190-547X","position":7,"is_corresponding":false},{"id":1167837,"name":"Kshipra Kapoor","orcid":"0009-0007-9079-7373","position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T01:57:19.937291Z","pmid":"39290685","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":[]}