Dataset Information

In vivo microarray expression data from WT, Irf4-/- and checkpoint blockade treated Irf4-/- TEa CD4+ T cells

ABSTRACT: Previously we found that Irf4-deficient T cells were dysfunctional and unable to reject heart allografts and checkpoint blockade treatment could reinvigorate dysfunctional Irf4-deficient T cells and enable them reject heart allografts. But shortly after the reinvigoration those T cells went back to dysfunctional state. TCR-transgenic TEa CD4+ T cells (B6 background) recognize a Balb/c I-Eα allopeptide presented by B6 antigen presenting cells, and were used to assess the effects of immune checkpoint blockades on Irf4-deficient alloreactive T cells. WT, Irf4-/- and checkpoint blockade treated Irf4-/- TEa CD4+ T cells were isolated from Balb/c heart transplanted B6 mice, followed by microarray analysis. To define un-restored gene expressions in Irf4-deficient alloreactive T cells upon immune checkpoint blockades, we compared genes expression level among three groups. We revealed that checkpoint blockade restored the expression levels of the majority of wild-type T cell-expressed genes in Irf4-/- T cells, indicating the reinvigoration of Irf4-/- T cells. The remaining un-restored genes following checkpoint blockade, though minimal in number, may be responsible for the reinvigorated Irf4-/- T cells to become re-dysfunction.

ORGANISM(S): Mus musculus

PROVIDER: GSE111757 | GEO | 2019/03/11

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:Background: T cell-based immunotherapies including immune checkpoint blockade (ICB) and chimeric antigen receptor (CAR) T cells can induce durable responses in cancer patients. However, clinical efficacy is limited due to the ability of cancer cells to evade immune surveillance. While T cells have been the primary focus of immunotherapy, recent research has highlighted the importance of Natural Killer (NK) cells in directly recognizing and eliminating tumor cells and playing a key role in the set-up of an effective adaptive immune response. The remarkable potential of NK cells for cancer immunotherapy is demonstrated by their ability to broadly identify stressed cells, irrespective of the presence of neoantigens, and their ability to fight tumors that have lost their Major Histocompatibility Complex class I (MHC I) expression due to acquired resistance mechanisms. However, like T cells, NK cells can become dysfunctional within the tumor microenvironment. Strategies to enhance and reinvigorate NK cell activity hold potential for bolstering cancer immunotherapy. Method: In this study, we conducted a high-throughput screen to identify molecules that could enhance primary human NK cell function. After compound validation, we investigated the effect of the top performing compound on dysfunctional NK cells that were generated by a newly developed in vitro platform. Functional activity of NK cells was investigated utilizing compounds alone and in combination with checkpoint inhibitor blockade. The findings were validated on patient-derived intratumoral dysfunctional NK cells from different cancer types. Results: The screening approach led to the identification of a Cbl-b inhibitor enhancing the activity of primary human NK cells. Furthermore, the Cbl-b inhibitor was able to reinvigorate the activity of in vitro generated and patient-derived dysfunctional NK cells. Finally, Cbl-b inhibition combined with TIGIT blockade further increased the cytotoxic potential and reinvigoration of both in vitro generated and patient-derived intratumoral dysfunctional NK cells. Conclusion: These findings underscore the relevance of Cbl-b inhibition in overcoming NK cells dysfunctionality with the potential to complement existing immunotherapies and improve outcomes for cancer patients.

Dataset Information

In vivo microarray expression data from WT, Irf4-/- and checkpoint blockade treated Irf4-/- TEa CD4+ T cells

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets