Dataset Information

Tumor recognition and self-recognition induce distinct transcriptional profiles in antigen-specific CD4 T cells.

ABSTRACT: Tumors express a wide variety of both mutated and nonmutated Ags. Whether these tumor Ags are broadly recognized as self or foreign 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-Ag (C3HA(high)), we examined the transcriptional profile of CD4 T cells undergoing Ag-specific division. Consistent with our previous data, transfer of Ag-specific CD4 T cells into C3HA(high) resulted in a functionally inactivated CD4 T cell profile. Conversely, adoptive transfer of an identical CD4 T cell population into ProHA x TRAMP mice resulted in the induction of a regulatory phenotype of the T cell (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.

SUBMITTER: Getnet D

PROVIDER: S-EPMC3082355 | biostudies-literature | 2009 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Tumor recognition and self-recognition induce distinct transcriptional profiles in antigen-specific CD4 T cells.

Getnet Derese D Maris Charles H CH Hipkiss Edward L EL Grosso Joseph F JF Harris Timothy J TJ Yen Hung-Rong HR Bruno Tullia C TC Wada Satoshi S Adler Adam A Georgantas Robert W RW Jie Chunfa C Goldberg Monica V MV Pardoll Drew M DM Drake Charles G CG

Journal of immunology (Baltimore, Md. : 1950) 20090401 8

Tumors express a wide variety of both mutated and nonmutated Ags. Whether these tumor Ags are broadly recognized as self or foreign 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-Ag (C3HA(high)), we examined the transcriptional profile of CD4 T cells undergoing Ag-specific division ...[more]

PMID: 19342643

Similar Datasets

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

Tumor recognition and self-recognition induce distinct transcriptional profiles in antigen-specific CD4 T cells.

Publications

Tumor recognition and self-recognition induce distinct transcriptional profiles in antigen-specific CD4 T cells.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure