{"doi":"10.1101/2023.03.11.532210","title":"A Pillar and Perfusion Plate Platform for Robust Human Organoid Culture and Analysis","abstract":"Abstract Human organoids have potential to revolutionize in vitro disease modeling by providing multicellular architecture and function that are similar to those in vivo . This innovative and evolving technology, however, still suffers from assay throughput and reproducibility to enable high-throughput screening (HTS) of compounds due to cumbersome organoid differentiation processes and difficulty in scale-up and quality control. Using organoids for HTS is further challenged by lack of easy-to-use fluidic systems that are compatible with relatively large organoids. Here, we overcome these challenges by engineering “microarray three-dimensional (3D) bioprinting” technology and associated pillar and perfusion plates for human organoid culture and analysis. High-precision, high-throughput stem cell printing and encapsulation techniques were demonstrated on a pillar plate, which was coupled with a complementary deep well plate and a perfusion well plate for static and dynamic organoid culture. Bioprinted cells and spheroids in hydrogels were differentiated into liver and intestine organoids for in situ functional assays. The pillar/perfusion plates are compatible with standard 384-well plates and HTS equipment, and thus may be easily adopted in current drug discovery efforts.","journal":"bioRxiv (Cold Spring Harbor Laboratory)","year":2023,"id":391265,"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":7,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9516,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":231613,"name":"Masaki Kimura","orcid":"0000-0001-5530-2629","position":1,"is_corresponding":false},{"id":1032253,"name":"Sunil Shrestha","orcid":"0000-0002-9174-7120","position":2,"is_corresponding":false},{"id":781546,"name":"Phillip L. Lewis","orcid":"0000-0002-3353-0708","position":3,"is_corresponding":false},{"id":1034885,"name":"Sang Joon Lee","orcid":"0000-0001-6673-569X","position":4,"is_corresponding":false},{"id":793314,"name":"Yuqi Cai","orcid":"0000-0001-8424-056X","position":5,"is_corresponding":false},{"id":411618,"name":"Pranav Joshi","orcid":"0000-0002-1153-0440","position":6,"is_corresponding":false},{"id":1032789,"name":"Prabha Acharya","orcid":null,"position":7,"is_corresponding":false},{"id":697641,"name":"Jiafeng Liu","orcid":null,"position":8,"is_corresponding":false},{"id":697087,"name":"Yong Yang","orcid":"0000-0003-4305-8029","position":9,"is_corresponding":false},{"id":349423,"name":"J. Guillermo Sanchez","orcid":null,"position":10,"is_corresponding":false},{"id":634501,"name":"Sriramya Ayyagari","orcid":"0000-0002-2188-8809","position":11,"is_corresponding":false},{"id":243151,"name":"Eben Alsberg","orcid":"0000-0002-3487-4625","position":12,"is_corresponding":false},{"id":15871,"name":"James M. Wells","orcid":"0000-0002-1398-848X","position":13,"is_corresponding":false},{"id":231623,"name":"Takanori Takebe","orcid":"0000-0002-6989-3041","position":14,"is_corresponding":false},{"id":411620,"name":"Moo‐Yeal Lee","orcid":"0000-0001-6922-609X","position":15,"is_corresponding":false},{"id":738244,"name":"Soo‐Yeon Kang","orcid":"0000-0003-2745-9463","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T01:18:42.653719Z","pmid":"36993405","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":[]}