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Identification of relapse mechanisms for pediatric T-ALL (T-cell acute lymphoblastic leukemia) through scRNAseq analysis

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NIAID Data Ecosystem2026-05-02 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE262271
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If relapses occur in only 20% of T-ALL children, 70% will have a dismal outcome, justifying the need for new therapeutic options. Transcriptomic plasticity is a property of leukemic cells to adapt their functions and resist to treatments. The project aims at analyzing, at a single cell resolution, the variations of the gene expression, between diagnostic and relapse. This will allow identification of relapse-associated genes as potential new targets for future innovative treatments. For 3 patients, we obtained paired samples at diagnostic and relapse that will allow us to study the evolution of the leukemia during acquisition of a resistance to treatments. Comparative gene expression profiling of scRNAseq data from paired diagnostic-relapse samples. ------------------------------------------------------------ Authors state "this is human sample so the raw data are currently being processed at EGA".
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2025-02-25
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