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accession-icon SRP165725
Calibrated CAR activation potential directs alternative T cell fates and therapeutic potency
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

CD19-specific CARs that comprise CD28 and CD3z signaling domains program highly performing effector functions that mediate potent tumor elimination, but they impart a relatively limited T cell lifespan. Increasing functional T cell persistence without reducing effector potency is therefore likely to further enhance the therapeutic success of 1928z CAR T cells. We demonstrate that the number and position of ITAMs in 1928z CAR T cells influence functional, phenotypic and transcriptional programs, resulting in profound effects on antitumor efficacy. Improved therapeutic potency of CAR T cells can thus be achieved by calibrating activation strength, thereby retaining memory functions and preventing exhaustion, without compromising effector functions. Our transcriptional analysis underscores the potential of ITAM dosage and position to direct different T cell fates. We were able to identify a novel CAR design, termed 1XX, which programs a favorable balance of effector and memory signatures, inducing increased persistence of highly functional CARs with the replicative capacity of long-lived memory cells and potent effector functions. Overall design: In order to assess the different phenotypic and functional patterns of CARs encoding a single immunoreceptor tyrosine-based activation motif (ITAM), we compared the genome-wide transcriptional profiles of 1928z, 1XX and XX3 after CD19 antigen stimulation of TRAC-edited naïve T cells. Sorted naïve (TN), stem cell memory (TSCM) and effector (TEFF) CD8+ T cells served as controls.

Publication Title

Calibration of CAR activation potential directs alternative T cell fates and therapeutic potency.

Sample Metadata Fields

Specimen part, Subject

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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