Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Anonymized germline variants of prospectively characterized clinical cancer specimens

ABSTRACT: Anonymized germline variants of prospectively characterized clinical cancer specimens

PROVIDER: PRJNA552120 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Anonymized germline variants of prospectively characterized clinical cancer specimens

Project description:Anonymized germline variants of prospectively characterized clinical cancer specimens

| PRJNA552121 | ENA

Exome Recapture and Sequencing of Prospectively-Characterized Clinical Specimens

Project description:Exome Recapture and Sequencing of Prospectively-Characterized Clinical Specimens

| PRJNA521280 | ENA

Exome Recapture and Sequencing of Prospectively-Characterized Clinical Specimens

Project description:Exome Recapture and Sequencing of Prospectively-Characterized Clinical Specimens

| PRJNA521281 | ENA

Exome Sequencing of Prospectively Characterized Clinical Specimens

Project description:<p>The study cohort comprises samples from patients whose tumors have been prospectively characterized as part of their care at Memorial Sloan Kettering Cancer Center. This includes a variety of distinct tumor type and molecular subtypes. </p>

| phs001783 | dbGaP

Myometrial specimens

Project description:Myometrial specimens

| PRJNA1024460 | ENA

Investigating delayed-onset Drug Hypersensitivity Reactions Prospectively

Project description:Investigating delayed-onset Drug Hypersensitivity Reactions Prospectively

| PRJNA994263 | ENA

A cancer avatar models prospectively guides therapy

Project description:A cancer avatar models prospectively guides therapy

| PRJNA475104 | ENA

Investigating delayed-onset Drug Hypersensitivity Reactions Prospectively

Project description:Investigating delayed-onset Drug Hypersensitivity Reactions Prospectively

| PRJNA994264 | ENA

Proteomic analysis of archival breast cancer clinical specimens identifies biological subtypes with distinct survival outcomes

Project description:Despite the advancement of genomic classification of breast cancer, current clinical tests and treatment decisions are commonly based on protein level information. Formalin-fixed paraffin-embedded (FFPE) tissue specimens are widely available and can be directly linked to extended clinical outcomes. We performed comprehensive proteomic profiling of 300 FFPE breast cancer surgical specimens, 75 of each PAM50 subtype, with linked clinical outcomes. Using our highly sensitive SP3-Clinical Tissue Proteomics platform, we quantified 4214 proteins across all 300 samples. The analysis identified a distinct proteomic group characterized by high expression of immune response proteins and favorable survival rates. Four clinically distinct proteomic clusters within samples classified as triple negative breast cancer by immunohistochemistry had features of “basal-immune hot”, “basal-immune cold”, “mesenchymal”, and “luminal androgen receptor”. Our proteomic analysis characterizes the heterogeneity of breast cancer in a clinically-applicable manner, identifies potential biomarkers and therapeutic targets, and provides a resource for clinical breast cancer classification.

2022-02-22 | PXD024322 | Pride

The transcriptome of prospectively isolated adult neural stem cells

Project description:Since the discovery of adult neural stem cells, their exact identity is still under discussion. Moreover, the lack of a reproducible procedure to purify neural stem cells prospectively rather than by growing them in vitro has so far precluded their study at the transcriptome level. Here we demonstrate a novel procedure to prospectively isolate neural stem cells from the adult mouse subependymal zone on the basis of their GFAP- and prominin1-expression by fluorescence-activated cell sorting. All self-renewing, multipotent stem cells are contained in this fraction at 70% purity. The stem cell identity of these double-positive cells is further demonstrated in vivo, by using a novel split-Cre-technology for fate mapping. Comparison of the transcriptome of these prospectively isolated neural stem cells to the transcriptomes of other astrocytes or ependymal cells revealed a distinct clustering of the stem cells, highlighting their unique features, as well as profound similarities to the astrocyte as well as ependyma transcriptome.

2010-11-19 | GSE18765 | GEO

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