{"doi":"10.1002/adtp.202500169","title":"A Systematic Approach to Analyze T Cell Migration: Application to Mouse Melanoma Tumors","abstract":"Abstract T cells must assess and choose between surveilling large areas, but also engage efficiently with the target cells. This process is translated into variations in the speed and turning angle of T cells. In this study, a generalized algorithm is proposed to analyze cell migration data with focus on CD8+ T cells, using clustering technique to identify the number of different migration states and Hidden Markov Model (HMM)to capture the dynamical switching between them. The algorithm only requires a set of position observations in a series of times, independent of other factors. While this study focuses on CD8+ T cell migration, this approach can potentially be used broadly to study the migration of other cell types as well. For the current analysis, low and high avidity T cells in melanoma tumors are tracked ex vivo using two‐photon microscopy. These findings suggest that CD8+ T cells follow a two‐state migration dynamic, with one state being faster, while the other slower and more localized. Moreover, a statistical methodology is established to analyze T cell migration to assess whether there is true variability in cell speeds as distinguished from stochastic fluctuations about a single speed, and it can be applied across different experimental platforms.","journal":"Advanced Therapeutics","year":2025,"id":536726,"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":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9444,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":266265,"name":"Jason S. Mitchell","orcid":"0000-0002-4669-9481","position":1,"is_corresponding":false},{"id":247528,"name":"Brian T. Fife","orcid":"0000-0001-9826-5637","position":2,"is_corresponding":false},{"id":252445,"name":"David Masopust","orcid":"0000-0002-9440-3884","position":3,"is_corresponding":false},{"id":341564,"name":"David J. Odde","orcid":"0000-0001-7731-2799","position":4,"is_corresponding":false},{"id":1422563,"name":"Nikolaos Memmos","orcid":null,"position":0,"is_corresponding":true}],"reference_count":64,"raw_metadata":null,"created_at":"2026-07-19T02:52:09.056872Z","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":[]}