Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

University of Pennsylvania CAR T cell Responding and Non-responding Patients

ABSTRACT: University of Pennsylvania CAR T cell Responding and Non-responding Patients

PROVIDER: PRJNA494908 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

University of Pennsylvania CAR T cell Responding and Non-responding Patients

Project description:University of Pennsylvania CAR T cell Responding and Non-responding Patients

| PRJNA494907 | ENA

Non-Responding Celiac Disease

Project description:Non-Responding Celiac Disease

| PRJEB65879 | ENA

Transcriptional changes induced by bevacizumab combination therapy in responding and non-responding recurrent glioblastoma patients

Project description:Purpose: To identify transcriptional changes by RNA-seq in tumor samples, before bevacizumab combination treatment and after bevacizumab combination treatment in both responding and non-responding recurrent glioblastoma patients

2017-04-20 | GSE79671 | GEO

UPenn CAR T cell Responders and Non-responders

Project description:<p>The adoptive transfer of autologous T cells genetically modified to express a CD19-specific, 4-1BB/CD3zeta-signaling chimeric antigen receptor (CAR; CTL019) has shown remarkable activity in patients with B acute lymphoblastic leukemia. Similar therapy can induce long-term remissions for relapsed/refractory chronic lymphocytic leukemia (CLL) patients, but in only a small subset of subjects. The determinants of response and resistance to CTL019 therapy of CLL are not fully understood. We employed next generation sequencing of RNA (RNA-seq) to identify predictive indicators of response to CTL019 treatment. We performed RNA-seq on leukapheresis and manufactured infusion product T cells from patients with heavily pre-treated and high-risk disease. To characterize potency, we also performed RNA-seq on the cellular infusion product after CAR-specific stimulation. Our findings indicate that durable remission in CLL is associated with gene expression signatures of early memory T cell differentiation (e.g., STAT3), while T cells from poorly- or non-responding patients exhibited elevated expression of key regulators of late memory as well as effector T cell differentiation, apoptosis, aerobic glycolysis, hypoxia and exhaustion. These gene expression signatures, along with additional immunological biomarkers, may be used to identify which patients are most likely to respond to cellular therapies and suggest manufacturing modifications that might potentiate the generation of maximally efficacious infusion products.</p>

| phs001707 | dbGaP

NHLBI TOPMed - Centers for Common Disease Genomics (CCDG): The University of Pennsylvania Cardiovascular Study

Project description:NHLBI TOPMed - Centers for Common Disease Genomics (CCDG): The University of Pennsylvania Cardiovascular Study

| PRJNA422006 | ENA

NHLBI TOPMed - Centers for Common Disease Genomics (CCDG): The University of Pennsylvania Cardiovascular Study

Project description:NHLBI TOPMed - Centers for Common Disease Genomics (CCDG): The University of Pennsylvania Cardiovascular Study

| PRJNA422007 | ENA

Transcription profiling of human 5-FU/VCPT-11 responding and non-responding metastatic colorectal cancer biopsies

Project description:Transcriptional profiling was carried out on 5-FU/VCPT-11 responding and non-responding metastatic colorectal cancer biopsies

2008-12-31 | E-MEXP-1692 | biostudies-arrayexpress

Expression data from Dmp1-Cre targeted and non-targeted Cxcl12-abundant reticular (CAR) cells in mouse bone marrow

Project description:In mouse bone marrow, mesenchymal stem cells (MSC) has the potential to form osteocytes, adipocytes and cartilage. In the process of osteogenesis, MSCs differenetiate into stromal cells, such as CAR cells. Osteoblast is responsible for the formation of osteocytes and osteoblasts may be differentiated from a subset of CAR cells. Dmp1-Cre targeted CAR cells are thought to enrich for a osteoblast progenitor population. We used microarrays to detail the gene expression profiles among Dmp1-Cre targeted and non-targeted CAR cells. Gene expression diffferences were compared to support the hypothesis that Dmp1-Cre targeted CAR cells may be enriched for osteoblast progenitors. Dmp1-Cre targeted and non-targeted CAR cells were FACS sorted from three mice. RNA were extracted from these sorted cells and processed for microarray using Affymetrix mogene 1.0 ST chip. Cells from one mouse represent one sample

2016-05-14 | E-GEOD-81399 | biostudies-arrayexpress

Targeted scRNA-seq and AbSeq of human CAR-T cell infusion product from 28 cancer patients

Project description:Immunotherapy using CD19-directed chimeric antigen receptor (CAR)-T cells has shown excellent results for treatment of B-cell leukaemia and lymphoma. To produce CAR-T cells, the patient’s own T cells are isolated from the blood and modified in a laboratory with a genetic vector to express a tumor antigen-directed CAR on its surface. The CAR-T cells are then expanded in numbers and given back to the patient with the aim to eradicate the tumors. However, some patients display primary resistance to CAR-T treatment while others relapse quickly after CAR-T treatment. In this experiment, we seek to understand whether the quality of the individual CAR-T cell product the patients were given can predict outcome to the therapy. We investigate the transcriptional profile of the individual CAR-T infusion products using single-cell RNA sequencing. In this dataset, we identified a T cell subset correlating with response that could be used as an indicator for clinical outcome. Targeted RNA and protein single-cell libraries were obtained using the BD Rhapsody platform (BD Biosciences). In total four separate targeted libraries were produced with 6 patients per library. Sequencing was performed on NovaSeq 6000 S1 sequencer at the SNP&SEQ Technology Platform (Uppsala, Sweden). The raw scRNA-seq data was pre-processed by BD Biosciences using the Rhapsody Analysis pipeline to convert the raw reads into Unique Molecular Identifier (UMI) counts. UMIs are further adjusted within Rhapsody by applying BD’s Recursive Substitution Error Correction (RSEC) and Distribution-Based Error Correction (DBEC) in order to remove false UMIs caused by sequencing or library preparation errors. Pooled samples were deconvoluted using Sample-tag reads. The scRNA-seq and AbSeq counts were loaded, processed and used for clustering and differential gene expression with Seurat v. 4.0.0.

2023-07-24 | E-MTAB-12407 | biostudies-arrayexpress

An immunoproteomic approach to characterize the CAR interactome and signalosome

Project description:Adoptive transfer of chimeric antigen receptor (CAR)-T cells is expected to become the first line of treatment for multiple malignancies, following the enormous success of anti-CD19 therapies. However, their mechanism of action is not fully understood, and clear guidelines for the design of safe and efficient receptors are missing. We hereby describe a systematic analysis of the CAR “signalosome” in human primary T cells. Two CAR designs were compared: a second-generation (PSCA2) and a third-generation (PSCA3) anti-PSCA CAR. Phosphorylation events triggered by CAR-mediated recognition of target cells were quantified by mass spectrometry.

2019-11-07 | PXD007086 | 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