Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [TBL]

ABSTRACT: RNA of tumor samples from 14 patients with head and neck squamous cell carcinoma treated anti-PD1 was analyzed on the nCounter system using the Pan cancer IO360 panel

ORGANISM(S): Homo sapiens

PROVIDER: GSE233980 | GEO | 2024/01/09

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [Post Culture_Metadata]

Project description:RNA extracted from the post 72 hour cultured tumor samples from 31 patients with head and neck squamous cell carcinoma treated Nivolumab and Nivolumab+Ipilimumab was analyzed on the nCounter system using the Pan cancer IO360 panel.

2024-01-09 | GSE234136 | GEO

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment

Project description:This SuperSeries is composed of the SubSeries listed below.

2024-01-09 | GSE234138 | GEO

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment

Project description:Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment

| PRJNA980170 | ENA

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [TBL]

Project description:Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [TBL]

| PRJNA980173 | ENA

Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [Post Culture_Metadata]

Project description:Capturing the dynamic interactions between tumor and immune components of the tumor micro-environment is important for determining efficacy of anti-PD1 treatment [Post Culture_Metadata]

| PRJNA980180 | ENA

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

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

Evolutionary fingerprint in rodent PD1 confers weakened activity and enhanced tumor immunity compared to human PD1

Project description:Mechanistic understanding of the immune checkpoint receptor PD1 is largely based on mouse models, but human and mouse PD1 orthologs exhibit only 59.6% identity in amino acid sequences, raising the question of potential cross-species functional differences. Based on our biochemical evidence that human PD1 is more inhibitory than mouse PD1, we addressed the functional consequence of PD1 humanization in a mouse melanoma model with adoptively transferred T cells. Using CITE-seq (cellular indexing of transcriptomes and epitopes by sequencing), we found that humanization of PD1 intracellular domain (ICD) in CD8 T cells decreases the numbers, effector functions, and differentiation of intratumoral T cells. Specifically, PD1 humanization reduced the number of effector-like exhausted T cell subset while increasing the precursor-exhausted T cell subset, the latter of which is known to respond to anti-PD(L)1 therapy.

2024-11-05 | GSE280853 | GEO

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

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