{"doi":"10.1016/j.neuron.2024.06.021","title":"A single-cell atlas deconstructs heterogeneity across multiple models in murine traumatic brain injury and identifies novel cell-specific targets","abstract":"Traumatic brain injury (TBI) heterogeneity remains a critical barrier to translating therapies. Identifying final common pathways/molecular signatures that integrate this heterogeneity informs biomarker and therapeutic-target development. We present the first large-scale murine single-cell atlas of the transcriptomic response to TBI (334,376 cells) across clinically relevant models, sex, brain region, and time as a foundational step in molecularly deconstructing TBI heterogeneity. Results were unique to cell populations, injury models, sex, brain regions, and time, highlighting the importance of cell-level resolution. We identify cell-specific targets and previously unrecognized roles for microglial and ependymal subtypes. Ependymal-4 was a hub of neuroinflammatory signaling. A distinct microglial lineage shared features with disease-associated microglia at 24 h, with persistent gene-expression changes in microglia-4 even 6 months after contusional TBI, contrasting all other cell types that mostly returned to naive levels. Regional and sexual dimorphism were noted. CEREBRI, our searchable atlas (https://shiny.crc.pitt.edu/cerebri/), identifies previously unrecognized cell subtypes/molecular targets and is a leverageable platform for future efforts in TBI and other diseases with overlapping pathophysiology.","journal":"Neuron","year":2024,"id":418085,"datarank":1.124244759298018,"base_score":4.04305126783455,"endowment":4.04305126783455,"self_citation_contribution":0.6064576901751826,"citation_network_contribution":0.5177870691228355,"self_endowment_contribution":0.6064576901751826,"citer_contribution":0.5177870691228355,"corpus_percentile":81.83646631082232,"corpus_rank":2349,"citation_count":56,"citer_count":51,"citers_with_citation_signal":34,"citers_with_endowment":34,"datacite_reuse_total":0,"is_dataset":true,"is_dataset_confidence":0.7522,"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":320291,"name":"Dhivyaa Rajasundaram","orcid":"0000-0001-7417-8002","position":1,"is_corresponding":false},{"id":1206305,"name":"Chaim Sneiderman","orcid":null,"position":2,"is_corresponding":false},{"id":935963,"name":"Brent T. 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