{"doi":"10.1016/j.molmed.2025.12.006","title":"Mapping clinical CAR-T cells: insights from scRNA-seq","abstract":null,"journal":"Trends in Molecular Medicine","year":2026,"id":631484,"datarank":0.24141568686511508,"base_score":1.6094379124341003,"endowment":1.6094379124341003,"self_citation_contribution":0.24141568686511508,"citation_network_contribution":0.0,"self_endowment_contribution":0.24141568686511508,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":4,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"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":941308,"name":"Meghan B. Ward","orcid":"0000-0002-1329-9713","position":1,"is_corresponding":false},{"id":260238,"name":"Giedre Krenciute","orcid":"0000-0003-4335-0644","position":2,"is_corresponding":false},{"id":1636502,"name":"Michaela M. Meehl","orcid":null,"position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"Mapping clinical CAR-T cells: insights from scRNA-seq","abstract":"Single cell RNA sequencing (scRNA-seq) has revolutionized the field of biology and become the most powerful tool for evaluating transcriptional profiles of a biological sample. Given its power, it is widely utilized across multiple disciplines, including chimeric antigen receptor (CAR)-T cell therapy. In this review, we provide a comprehensive summary of published studies that have used scRNA-seq to analyze clinical CAR-T cells, focusing on T cell exhaustion, cytotoxicity, memory, expansion, clonal diversity, and cytokines. We also highlight findings on activation, CD4+/CD8+ ratios, proliferation, regulatory T cells (Tregs) and metabolism, and their relevance to patient response across diseases. Finally, we discuss the limitations and future directions of scRNA-seq in CAR-T cell research, providing key insights for clinicians and researchers.","is_dataset_classified":null,"base_score":1.3862943611198906,"endowment":1.3862943611198906,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"41545236","pmcid":"PMC12865777","openalex_id":"https://openalex.org/W7124279574","authors":[],"funders":[{"funder_name":"National Institute of Neurological Disorders and Stroke","grant_id":"R01NS121249","title":null},{"funder_name":"National Institutes of Health National Cancer Institute","grant_id":"U01CA281823","title":null},{"funder_name":"NINDS NIH HHS","grant_id":"R01 NS122859","title":null},{"funder_name":"American Lebanese Syrian Associated Charities","grant_id":"","title":null},{"funder_name":"Alliance for Cancer Gene Therapy","grant_id":"","title":null},{"funder_name":"Assisi Foundation of Memphis Inc","grant_id":"","title":null},{"funder_name":"National Institutes of Health","grant_id":"","title":null}],"total_grants":7,"fwci":15.6038,"citation_percentile":0.98610868,"influential_citations":0,"citation_trend":[{"year":2026,"count":3}],"oa_status":"hybrid","license":"cc-by","oa_locations":[{"url":"https://doi.org/10.1016/j.molmed.2025.12.006","host_type":"journal"},{"url":"https://doi.org/10.1016/j.molmed.2025.12.006","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S147149142500293X?httpAccept=text/xml","host_type":"publisher"},{"url":"https://api.elsevier.com/content/article/PII:S147149142500293X?httpAccept=text/plain","host_type":"publisher"},{"url":"https://pubmed.ncbi.nlm.nih.gov/41545236","host_type":"repository"}],"fields_of_study":["CAR-T cell therapy research","T-cell and B-cell Immunology","CRISPR and Genetic Engineering","Humans","Single-Cell Analysis","Single-Cell Gene Expression Analysis","Receptors, Chimeric Antigen","Immunotherapy, Adoptive","T-Lymphocytes","T-Cell Exhaustion","RNA-Seq","Sequence Analysis, RNA","Animals"],"mesh_terms":["Receptors, Chimeric Antigen","RNA-Seq","Single-Cell Gene Expression Analysis","T-Cell Exhaustion","Animals","Humans","T-Lymphocytes","Immunotherapy, Adoptive","Sequence Analysis, RNA","Single-Cell Analysis"],"keywords":["Relevance (law)","Key (lock)","Systems biology","Single-cell analysis","Cell","RNA","Scrna-seq","Car T Cell","Patient Sample","T Cell Fitness"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[{"name":"geo"},{"name":"nct"},{"name":"ega"}],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-05T23:44:37.688238Z","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":[]}