Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Whole genome transcriptome analysis of tumor-specific CD8 T cells in pre-malignant lesions

ABSTRACT: Gene expression analysis of tumor-specific CD8 T cells encountering a tumor-specific antigen in pre-malignant lesions in the liver at different time points post tumor initiation. The overall goal of this mouse study was to elucidate the molecular program in tumor-specific T cells encountering a tumor-specific antigen in pre-malignant lesions. The study identifies the genes and pathways that are dysregulated in tumor-specific T cells associated with T cell unresponsiveness in tumors. To identify the genes and pathways that are dysregulated in tumor-specific T cells. Gene signatures of the following sample groups were compared: 1. NaÃ¯ve CD8 T cells; 2. Effector CD8 T cells; 3. Dysfunctional tumor-specific CD8 T cells isolated from pre-malignant lesions 8-12 days after tumor induction. 4. Dysfunctional tumor-specific CD8 T cells isolated from pre-malignant lesions 32-34 days after tumor initiation. The mouse tumor model that was used is an autochthonous, tamoxifen-inducible liver cancer model (ASTxCre-ERT2; AST=Albumin-floxStop-SV40 large T antigen; Cre-ERT2 = TAM-dependent Cre-recombinase) in which the SV40 large T antigen serves as the oncogenic driver and tumor-specific antigen; SV40-I TCR transgenic mice, whose CD8 T cells express a Db-restricted TCR specific for the Tag epitope I were used as source of naÃ¯ve tumor-specific CD8 T cells (TCRSV40-I) Total RNA was isolated from flow-sorted transgenic CD8 TCRSV40-I T cells from the following sample groups: NaÃ¯ve, effector, D8-12-pre-malignant lesions, and D32-34 pre-malignant lesions.

ORGANISM(S): Mus musculus

SUBMITTER: Andrea Schietinger

PROVIDER: E-GEOD-60501 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:The goal of this study was to examine differences in gene expression of tumor specific CD8 T cells in an in vivo tumor mouse model after inhibition of galectin-3 protein expression by genetic knockout. Galectin-3 is thought to modulate CD8 T cell response by cross-linking cell surface glycoproteins Galectin-3 is a 31 kD carbohydrate-binding lectin that is over-expressed by many human malignancies. It also modulates T cell responses through a diverse array of mechanisms including induction of apoptosis, TCR cross linking in CD8+ T cells, and T cell receptor (TCR) down regulation in CD4+ T cells. We found that patients responding to a granulocyte-macrophage colony-stimulating factor (GM-CSF) secreting allogeneic pancreatic tumor vaccine developed post immunization antibody responses to galectin-3 on a proteomic screen. We used the HER-2/neu (neu-N) transgenic mouse model to study galectin-3 binding on adoptively transferred high avidity neu-specific CD8+ T cells derived from TCR transgenic mice. Here, we show that galectin-3 binds preferentially to activated antigen-committed CD8+ T cells only in the tumor microenvironment (TME). Galectin-3 deficient mice exhibit improved CD8+ T cell effector function and increased expression of several inflammatory genes when compared with wild type (WT) mice. We also show that galectin-3 binds to LAG-3, and LAG-3 expression is necessary for galectin-3 mediated suppression of CD8+ T cells in vitro. Lastly, galectin-3 deficient mice have significantly elevated levels of circulating plasmacytoid dendritic cells (pDCs), which are superior to conventional dendritic cells (cDCs) in activating CD8+ T cells. Binding of galectin-3 to cell-surface glycoproteins on immune cells suppresses a pro-inflammatory immune response. Thus, inhibiting galectin-3 in conjunction with CD8+ T cell directed immunotherapies should enhance the tumor specific immune response. 3 different experimental groups were studied. Galectin-3 WT CD8 T cells adoptively transferred into Galectin-3 WT mice, galectin-3 WT CD8 T cells transferred into galectin-3 KO mice, and finally galectin-3 KO CD8 T cells transferred into galectin-3 KO mice. Galectin-3 WT CD8 T cells transferred into Galectin-3 WT mice were used as the reference group. Four biological replicates were submitted for each group, and adoptively transfered CD8 T cells were isolated 5 days post-adoptive transfer into tumor-bearing mice treated with a whole cell GM-CSF secreting vaccine. Cells were purified by cell sorting on the Thy1.2 surface marker.

Project description:Tumors express a wide variety of both mutated and non-mutated antigens. Whether these tumor antigens are broadly recognized as âselfâ or âforeignâ by the immune system is currently unclear. Using an autochthonous prostate cancer model in which hemagglutinin (HA) is specifically expressed in the tumor (ProHA x TRAMP mice), as well as an analogous model wherein HA is expressed in normal tissues as a model self-antigen (C3HAHigh), we examined the transcriptional profile of CD4 T cells undergoing antigen-specific division. Consistent with our previous data, transfer of antigen-specific CD4 T cells into C3HAHigh resulted in a functionally inactivated CD4 T cell profile. Conversely, adoptive transfer of an identical CD4 T cell population into ProHA x TRAMP resulted in the induction of a regulatory phenotype (Treg) both at the transcriptional and functional level. Interestingly, this Treg skewing was a property of even early-stage tumors, suggesting Treg induction as an important tolerance mechanism during tumor development. The goal of this microarray is to detail the transcriptional profile differences between CD4 T cells that recognize their cognate antigen in the context of tumor (ProHA x TRAMP model) or self-antigen recognition (C3HA) or viral-antigen recognition (VaccHA) models or unprimed naÃ¯ve state (Nontransgenic). The comparison contains both upregulated and downregulated transcripts. Experiment Overall Design: TCR transgenic CD4 T cells specific for hemagglutinin (HA) were adoptively transferred into tumor-antigen recognition model (ProHA x TRAMP), Self-antigen recognition model (C3HA), viral-antigen recognition model (VaccHA), and naÃ¯ve control (Nontrangenic). Divided (CFSE diluted) CD4 T cells were sorted by FACS, RNA was extracted, and biological replicated were hybridized to an Affymetrix Mouse 430 Plus 2 expression array, followed by interrogation with an Affymetrix GeneChip Scanner 3000. RMA normalization was employed to identify differentially expressed transcripts.

Dataset Information

Whole genome transcriptome analysis of tumor-specific CD8 T cells in pre-malignant lesions

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure