Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Molecular patterns of resistance to immune checkpoint blockade in melanoma [NanoString GeoMx]

ABSTRACT: Molecular patterns of resistance to immune checkpoint blockade in melanoma [NanoString GeoMx]

PROVIDER: PRJNA1086534 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Molecular patterns of resistance to immune checkpoint blockade in melanoma [NanoString GeoMx]

Project description:Tumor cell-containing Regions of Interest from 17 patients with melanoma after progression to Immune Checkpoint Blockade were profiled at the transcriptomic level.

2024-03-12 | GSE261347 | GEO

Molecular patterns of resistance to immune checkpoint blockade in melanoma

Project description:Molecular patterns of resistance to immune checkpoint blockade in melanoma

| PRJNA1026564 | ENA

Transcriptomic profiling of MC38 tumor cells on murine MC38 liver metastasis sections by NanoString GeoMX DSP

Project description:To study how targeting Glut1 in CAFs influences the transcritome of adjacent cancer cells, MC38 adjacent to control CAFs and Glut1-deficient CAFs were subjected to spatial transcriptomic profiling with the NanoString GeoMx DSP

2024-02-18 | GSE225457 | GEO

Transcriptomic profiling of the cancer-associated fibroblasts (CAFs) on murine MC38 liver metastasis sections by NanoString GeoMX DSP

Project description:To study how targeting Glut1 influences the transcriptome of cancer-associated fibroblasts (CAFs), the transcriptome of control CAFs and that of Glut1-deficient CAFs on murine MC38 liver metastasis sections were obtained and compared with the NanoString GeoMx DSP

2024-02-18 | GSE225456 | GEO

Spatially resolved transcriptomic profiling: an experimental comparison of GeoMx Digital Spatial Profiling and Visium CytAssist spatial transcriptomics in three cancer types (GeoMx)

Project description:We performed Visium CytAssist (10X), GeoMx DSP (Nanostring) and Chromium Flex (10X Genomics) full transcriptome profiling on Breast Cancer (BC), Lung Cancer (LC) and diffuse large B cell lymphoma (DLBCL) samples from archival FFPE blocks. We explore the data quality across blocks with different storage times and DV200 values for all the three methods. We compared the cell type signature purity between ST methods Visium and GeoMx by utilising pathology annotations and scRNAseq. For the Visium and Chromium methods with a large number of data points we explored the heterogeneity between tissues. Finally, we demonstrate the discovery of patient-specific tumor-TME interactions across all three methods.

2024-11-01 | E-MTAB-14566 | biostudies-arrayexpress

Melanoma Sequential Immune Checkpoint Blockade Treatment Sequencing Study

Project description:Melanoma Sequential Immune Checkpoint Blockade Treatment Sequencing Study

| PRJNA397812 | ENA

GeoMx digital spatial profiling on biopsies of triple negative breast cancer patients

Project description:In this study, we analyzed the differential spatial transcriptome of Triple-Negative Breast Cancer (TNBC) patients who responded in an opposite manner to neoadjuvant chemotherapy (NACT): we compared responders displaying pathological complete response (pCR) with no-responders who showed disease progression during therapy. Diagnostic TruCut biopsies were analyzed using the GeoMx Cancer Transcriptome Atlas (Nanostring).

2023-10-12 | E-MTAB-13069 | biostudies-arrayexpress

Molecular patterns of resistance to immune checkpoint blockade in melanoma [scRNA-Seq]

Project description:Molecular patterns of resistance to immune checkpoint blockade in melanoma [scRNA-Seq]

| PRJNA1026568 | ENA

Molecular patterns of resistance to immune checkpoint blockade in melanoma [bulk RNA-Seq]

Project description:Molecular patterns of resistance to immune checkpoint blockade in melanoma [bulk RNA-Seq]

| PRJNA1026569 | ENA

Melanoma Sequential Immune Checkpoint Blockade Treatment Sequencing Study

Project description:<p>Blockade of T cell coinhibitory molecules such as CTLA-4 and PD-1, can activate T cell antitumor response. Although these immune checkpoint blockades (CTLA-4 blockade and PD-1 blockade) have shown durable response, response rate is modest. Therefore, there is a need to find stable biomarkers predictive of response to immune checkpoint blockades and to understand underlying resistance mechanisms. We collected longitudinal tumor biopsies from a cohort of metastatic melanoma patients treated with sequential immune checkpoint blockades and performed whole exome sequencing of this cohort. The comprehensive genomic characterization of tumors enabled identification of higher copy number loss burden as a resistance mechanism and clonal T cell repertoire as a predictive biomarker.</p>

| phs001425 | dbGaP

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