Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Pre-encoded responsiveness to type I interferon in the peripheral immune system defines outcome of PD1 blockade therapy

ABSTRACT: Pre-encoded responsiveness to type I interferon in the peripheral immune system defines outcome of PD1 blockade therapy

PROVIDER: PRJNA823386 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18613300_1.fastq.gz	Fastqsanger.gz
	SRR18613300_2.fastq.gz	Fastqsanger.gz
	SRR18613301_1.fastq.gz	Fastqsanger.gz
	SRR18613301_2.fastq.gz	Fastqsanger.gz
	SRR18613302_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 80

Similar Datasets

Pre-encoded responsiveness to type I interferon in the peripheral immune system defines outcome of PD1 blockade therapy

Project description:This repository contains single-cell RNA and single-cell ATAC sequencing data of peripheral blood mononuclear cells (PBMCs) from melanoma patients at baseline (prior to receiving anti-PD1 therapy) and healthy donors. Patients were selected based on their IFN-I response capacity (measured by mass cytometry), which is associated with patient survival after therapy. The purpose of the experiment was to better understand the mechanisms underlying the differences in outcome observed betwee the two patient groups.

2022-05-30 | GSE199994 | GEO

miRNA expression between CD4+PD1+ and CD4+PD1- T cells

Project description:Recent success in cancer immunotherapy has come from the blockade of inhibitory receptors on T cells, such as programmed cell death-1, which can induce a state of T cell exhaustion upon constant antigen stimulation. Understanding miRNA regulation of PD1 can be useful to discover miRNAs for use in therapy or as prognostic markers in various diseases including cancer, autoimmunity and transplantation. We used microarrays to discover global miRNA expression changes upon PD1 upregulation and identified miRNAs that are both up- and down-regulated. B16F10 cells were injected subcutaneously into C57BL/6 mice and 16 days later CD4+PD1+ and CD4+PD1- were sorted from the lymph nodes and spleen for RNA extraction and hybridization on Affymetrix miRNA array.

2015-08-01 | E-GEOD-65208 | biostudies-arrayexpress

Endometrial luminal epithelium transcriptome during early diestrus defines pregnancy outcome in cattle

Project description:Endometrial luminal epithelium transcriptome during early diestrus defines pregnancy outcome in cattle

| PRJNA720121 | ENA

PD1 completely suppresses the transcriptional response induced by the T cell receptor

Project description:Functional impairment of the immune response to chronic viral infections and malignancies is characterised by exhausted T cells, which do not respond to antigen. The cell surface receptor PD1 has been implicated in the maintenance of T cell exhaustion and is an attractive target for immunomodulatory approaches to the treatment of such conditions. However, the mechanisms by which PD1 signalling causes exhaustion and the exact response of T cells to PD1 activation are not clear although it has been suggested that PD1 up regulates a number of anti-proliferative factors. Here we perform cytokine and transcriptional profiling of uninfected primary human T cells to characterise these events. We find that PD1 completely prevents cytokine and transcrip- tional changes induced by CD3/28 stimulation. We do not see any factors specifically induced by PD1, including BATF or IL10 which have previously been linked to PD1 activity. Together with the work of others this confirms that PD1 is the sole effector of T cell exhaustion and that infection is responsible for BATF and IL10 up regulation. As a consequence future therapeutic strategies will be confined to the inhibition of PD1 and not a downstream effector.

2012-04-01 | E-MEXP-3410 | biostudies-arrayexpress

Characterization of CD57+PD1- CD4 T cells

Project description:We have identified a CD57+PD1- CD4 T cell phenotype at the time of transplantation that strongly correlates with subsequesnt development of belatacept-resistant rejection. In this study, we used microarray to determine which genes were upregulated in CD57+ compared to CD57- CD4 T cells. Peripheral blood obtained from 5 healthy controls was processed and sorted into CD4+CD57+PD1- and CD4+CD57-PD1- populations. Total RNA was extracted from the sorted populations and quality assessed. cDNA synthesis and amplification was performed, and fragmented and biotinylated samples were hybridized to the Affymetrix Human U133 plus 2.0 probe array. The arrays were scanned and probe intensity measurements were normalized across the samples using the robust multichip average (RMA) algorithm.

2016-01-08 | E-GEOD-64805 | biostudies-arrayexpress

Gene expression profiles of PD1-high, PD1-intermediate, and PD1-negative tumor-infiltrating CD8 T cells in hepatocellular carcinoma

Project description:We report the gene expression profiles of FACS-sorted PD1-high, PD1-intermediate, and PD1-negative tumor-infiltrating CD8 T cells in hepatocellular carcinoma.

2018-11-13 | GSE111389 | GEO

CD38-RyR2 axis mediated signaling impedes CD8+ T cell response to anti-PD1 therapy in cancer

Project description:PD-1 blockade therapy, harnessing the cytotoxic potential of CD8+ T cells, has yielded clinical success in treating malignancies. However, its efficacy is often limited due to the progressive differentiation of intratumoral CD8+ T cells into a hypofunctional state known as terminal exhaustion. Despite identifying CD8+ T cell subsets associated with immunotherapy resistance, the molecular pathway triggering the resistance remains elusive. Given the clear association of CD38 with CD8+ T cell subsets resistant to anti-PD1 therapy, we investigated its role in inducing resistance. Phenotypic and functional characterization, along with single-cell RNA sequencing analysis of both in vitro chronically stimulated and intratumoral CD8+ T cells, revealed that CD38-expressing CD8+ T cells are terminally exhausted. Exploring the molecular mechanism, we discovered that CD38 expression was crucial in promoting terminal differentiation of CD8+ T cells by suppressing TCF1 expression, thereby rendering them unresponsive to anti-PD1 therapy. Genetic ablation of CD38 in tumor reactive CD8+ T cells restored TCF1 levels and improved the responsiveness to anti-PD1 therapy in mice. Mechanistically, CD38 expression on exhausted CD8+ T cells elevated intracellular Ca2+ levels through RyR2 calcium channel activation. This, in turn, promoted chronic AKT activation, leading to TCF1 loss. Knockdown of RyR2 or inhibition of AKT in CD8+ T cells maintained TCF1 levels, induced a sustained anti-tumor response, and enhanced responsiveness to anti-PD1 therapy. Thus, targeting CD38 represents a potential strategy to improve the efficacy of anti-PD1 treatment in cancer.

2024-01-12 | GSE251829 | GEO

Virally Encoded Connectivity Transgenic Overlay RNA sequencing (VECTORseq) defines projection neurons involved in sensorimotor integration

Project description:Virally Encoded Connectivity Transgenic Overlay RNA sequencing (VECTORseq) defines projection neurons involved in sensorimotor integration

| PRJNA784983 | ENA

Proteomic profiling to predict therapeutic response to anti-PD1 therapy in advanced melanoma – Orbitrap Elite dataset depleted serum

Project description:MS-based proteomics based on data-dependent acquisition / shotgun MS was used to study the response of melanoma patients to anti-PD1 therapy. Human serum samples were collected from patients at the start of their therapy and later categorized into responders and non-responders based on clinical outcome. Samples were subjected to immunodepletion and proteins were identified by bottom-up proteomics.

2023-08-18 | PXD027849 | Pride

Proteomic profiling to predict therapeutic response to anti-PD1 therapy in advanced melanoma – SWATH MS dataset - glycopeptides

Project description:MS-based proteomics based on data-independent acquisition / SWATH MS was used to study the response of melanoma patients to anti-PD1 therapy. Human serum samples were collected from patients at the start of their therapy and later categorized into responders and non-responders based on clinical outcome. Samples were subjected to glycocapture and glycopeptides were quantified by SWATH MS followed by analysis using mapDIA to protein levels.

2023-08-21 | PXD027933 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data