Mapping the evolution of T cell states during response and resistance to adoptive cellular therapy

CANCER RESEARCH(2023)

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摘要
(Cell Reports 37, 109992; November 9, 2021) In the originally published version of this article, an erroneous dbGaP accession number was listed for data availability. The correct accession number, phs002877.v1.p1, has now been added, and the link to the data can be found here: https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs002877.v1.p1. The authors regret this error. Mapping the evolution of T cell states during response and resistance to adoptive cellular therapyBachireddy et al.Cell ReportsNovember 09, 2021In BriefBachireddy et al. present a computational framework for resolving cellular state dynamics from longitudinal single-cell profiles from a uniformly treated cohort of patients with relapsed leukemia. They identify specific T cell subsets and underlying regulatory circuitry that consistently define the response to donor lymphocyte infusion (DLI), a form of adoptive cellular therapy. Full-Text PDF Open Access
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关键词
ATAC-seq,allogeneic hematopoietic stem cell transplant,donor lymphocyte infusion,exhaustion,gene regulatory networks,immunotherapy,leukemia,probabilistic models,scRNA-seq,statistical machine learning
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