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accession-icon SRP077748
Memory-like CD8 T-cells sustain the immune response to chronic viral infections.
  • organism-icon Mus musculus
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We have discovered a small subpopulation of virus-specific CD8 T-cells that sustains the T-cell response in chronic infections. These cells are defined by - and depend on - the expression of the transcription factor Tcf1 (T cell factor 1) and show key characteristics of central memory cells while lacking an effector signature. Unlike conventional memory cells, Tcf1+ T-cells display hallmarks of an “exhausted” phenotype, including the expression of certain inhibitory receptors. Overall design: Naive Tcf1-GFP+ P14 cells (Naive) were transferred into Vb5 recipient mice (CD45.1) prior to infection with LCMV clone 13 (c13). Tcf1-GFP+ P14 cells (chronic Tcf1+) and Tcf1-GFP- P14 cells (chronic Tcf1-) were flow sorted on day 28 post infection. Naive Tcf1-GFP+ P14 cells (Naive) were also transferred into C57BL/6 hosts (CD45.1.2) prior to infection with LCMV Armstrong (Arm). Tcf1-GFP+ P14 cells (memory Tcf1+) and Tcf1-GFP- P14 cells (memory Tcf1-) were flow sorted on day 28 post infection. Total RNA was extracted, cDNA libraries prepared and sequencing was performed using Illumina HiSeq 2500 technology.

Publication Title

T Cell Factor 1-Expressing Memory-like CD8(+) T Cells Sustain the Immune Response to Chronic Viral Infections.

Sample Metadata Fields

Specimen part, Cell line, 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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