{"doi":"10.1016/j.cmet.2023.10.001","title":"Dynamic scRNA-seq of live human pancreatic slices reveals functional endocrine cell neogenesis through an intermediate ducto-acinar stage","abstract":"Human pancreatic plasticity is implied from multiple single-cell RNA sequencing (scRNA-seq) studies. However, these have been invariably based on static datasets from which fate trajectories can only be inferred using pseudotemporal estimations. Furthermore, the analysis of isolated islets has resulted in a drastic underrepresentation of other cell types, hindering our ability to interrogate exocrine-endocrine interactions. The long-term culture of human pancreatic slices (HPSs) has presented the field with an opportunity to dynamically track tissue plasticity at the single-cell level. Combining datasets from same-donor HPSs at different time points, with or without a known regenerative stimulus (BMP signaling), led to integrated single-cell datasets storing true temporal or treatment-dependent information. This integration revealed population shifts consistent with ductal progenitor activation, blurring of ductal/acinar boundaries, formation of ducto-acinar-endocrine differentiation axes, and detection of transitional insulin-producing cells. This study provides the first longitudinal scRNA-seq analysis of whole human pancreatic tissue, confirming its plasticity in a dynamic fashion.","journal":"Cell Metabolism","year":2023,"id":320476,"datarank":0.586803450814222,"base_score":3.912023005428146,"endowment":3.912023005428146,"self_citation_contribution":0.586803450814222,"citation_network_contribution":0.0,"self_endowment_contribution":0.586803450814222,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":49,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9197,"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":318868,"name":"Silvia Álvarez-Cubela","orcid":null,"position":1,"is_corresponding":false},{"id":318869,"name":"Dagmar Klein","orcid":null,"position":2,"is_corresponding":false},{"id":1031634,"name":"Isabella Altilio","orcid":null,"position":3,"is_corresponding":false},{"id":1031635,"name":"J. A. Schulz","orcid":null,"position":4,"is_corresponding":false},{"id":250520,"name":"Luciana Mateus Gonçalves","orcid":"0000-0002-1147-5066","position":5,"is_corresponding":false},{"id":7357,"name":"Joana Almaça","orcid":"0000-0002-9316-712X","position":6,"is_corresponding":false},{"id":316560,"name":"Christopher A. Fraker","orcid":"0000-0002-2010-0573","position":7,"is_corresponding":false},{"id":251269,"name":"Alberto Pugliese","orcid":"0000-0002-7211-0319","position":8,"is_corresponding":false},{"id":316559,"name":"Camillo Ricordi","orcid":"0000-0001-8092-7153","position":9,"is_corresponding":false},{"id":251235,"name":"Mirza Muhammad Fahd Qadir","orcid":"0000-0002-6764-6151","position":10,"is_corresponding":false},{"id":291774,"name":"Ricardo L. Pastori","orcid":"0009-0009-3326-3185","position":11,"is_corresponding":false},{"id":291775,"name":"Juan Domínguez‐Bendala","orcid":"0000-0001-9410-9143","position":12,"is_corresponding":false},{"id":268476,"name":"Mayur Doke","orcid":"0000-0002-7761-1251","position":0,"is_corresponding":true}],"reference_count":116,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-07-19T01:07:22.377587Z","pmid":"37898119","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":[]}