Dataset Information

Effector differentiation potential determined at the level of human CD8+ naïve T cell subsets [RNA-Seq]

ABSTRACT: Antigen recognition by CD8+ naïve T cells induces immune activation and rapid effector differentiation that ensures elimination of virally-infected and malignant cells. While signals from the extracellular milieu and downstream of the TCR have long been known to play a crucial role, it is currently unknown whether heterogeneity within the naïve CD8+ T cell pool shapes the potency of effector differentiation. We report the identification of two discrete subsets of human CD8+ TN cells, defined by positive and negative expression of the chemokine receptor CXCR3, with different potential to generate fully-differentiated effector T cells following antigen-specific stimulation. The CXCR3+ are more abundant than the CXCR3– naïve in peripheral blood and lymphoid tissues, retain enhanced expression of effector-related genes ex vivo and display features of the T cell receptor chain repertoire indicating enhanced capacity to bind the peptide:major histocompatibility complex. Likewise, a phenotypically equivalent murine CD8+ naïve population expressing high levels of CD5, a surrogate indicator of enhanced TCR sensitivity for self, preferentially generates short-lived effector cells following infection. Our findings imply that CD8+ T cell effector differentiation potential in humans is shaped by heterogeneity in the preimmune repertoire

ORGANISM(S): Mus musculus

PROVIDER: GSE125099 | GEO | 2019/10/17

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Though T cell expansion and effector differentiation are triggered and, perhaps, maintained by antigen, the proliferative behaviors of CD4+ and CD8+ T cells responding to timed antigen presentation have rarely been compared side by side. Proliferation and effector differentiation of TCR transgenic and polyclonal T cells were analyzed following transient and continuous TCR signals. We found CD4+ T cell proliferation to be dependent on prolonged antigen presence, whereas CD8+ T cells were able to divide and differentiate into effector cells in the absence of it. We excluded CD4+ T cell proliferation to be abrogated by coinhibitory signals or the lack of inflammatory stimuli and found that autonomous proliferation of CD8* T cells was independent of any MHC class I signals. Gene expression analyses illustrated differences in global gene transcription between the two subsets following stimulation periods of different lengths. These T cell data reflect the MHC class difference in that class II but not class I molecules were stabilized on activated DCs in vivo, suggesting a coevolution of MHC molecules and their respective T cell subsets. Samples 1-12: Analysis on day 2. Purified CD4+ AND-TCR transgenic cells andÂ CD8+ OT1-TCR transgenic cells were separately stimulated with anti-CD3 and anti-CD28 antibodies. 48 hours later, the cells were sorted again to a purity of >99 %. Extracted total RNA was amplified twice and hybridized on Affymetrix Mouse 430A2 microarrays. First, we analysed the changes of the CD4+ and CD8+ T cells after stimulation. Second, we compared the differences of the changes between the two cell types after stimulation. For each of the four groups (CD4+ and CD8+, stimulated and unstimulated), we analysed three independent biological replicates. Samples 13-28: Analysis on day 5. AND and OT1 TCR-transgenic T cells were prepared as described before, but transferred into mice that do not or do present their respective antigens. 72 hours later, the cells were FACS-sorted twice to >99 % purity, directly into Trizol. For each of the six groups (CD4+ and CD8+, unstimulated, transient (2 days) and continuous (5 days) stimulation), three independent biological replicates were analyzed, except for CD4+ unstimulated and CD4+ transient, with two replicates each.

Dataset Information

Effector differentiation potential determined at the level of human CD8+ naïve T cell subsets [RNA-Seq]

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets