Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Fc844f68-69a7-42a5-b37f-19a3e483a99f - samples

ABSTRACT: Whole genome sequencing data of 9 high-grade serous carcinoma (HGSC) patients (55 samples) sequenced with HiSeq X Ten.

PROVIDER: EGAD00001009888 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

c45cf72e-096c-4535-ac32-496f9bff06a5 - samples

Project description:Whole genome sequencing data of 8 High-grade serous carcinoma (HGSC) patients (20 samples) sequenced with HiSeq X Ten.

| EGAD00001009791 | EGA

631c76f9-9c98-400b-84e9-a68519591292 - samples

Project description:Whole genome sequencing data of 19 high-grade serous carcinoma (HGSC) patients (47 samples) sequenced with HiSeq X Ten.

| EGAD00001010029 | EGA

b46a22ea-231e-4d20-8740-a5c903641266 - samples

Project description:Whole genome sequencing data of 7 high-grade serous carcinoma (HGSC) patients (32 samples) sequenced with HiSeq X Ten.

| EGAD00001010066 | EGA

6fb3ddb6-1fe1-44a2-aea9-cfbf02ec2d49 - samples

Project description:Whole genome sequencing data of 36 high-grade serous carcinoma (HGSC) patients (89 samples) sequenced with HiSeq X Ten.

| EGAD00001010845 | EGA

d88200fb-f335-4340-98ec-f336586a0c5d - samples

Project description:Whole genome sequencing data of 31 high-grade serous carcinoma (HGSC) patients (101 samples) sequenced with HiSeq X Ten and BGISEQ-500

| EGAD00001010202 | EGA

673391a6-0ad1-4e26-a3ad-0c6a8e2821b8 - samples

Project description:Whole genome sequencing data of 26 high-grade serous carcinoma (HGSC) patients (87 samples) sequenced with MGISEQ-2000 and HiSeq X Ten.

| EGAD00001011304 | EGA

Identification of Prognostic Biomarkers of Ovarian High Grade Serous Carcinoma through Spatial Transcriptome Analysis and Multispectral imaging

Project description:The identification of reliable predictive biomarkers is crucial for assessing optimal therapeutic responsiveness in high grade serous ovarian carcinoma (HGSC). The immune profile of the tumor microenvironment (TME) influenced the prognosis of HGSC patients. Using spatial transcriptome analysis, We investigated the characteristics of the tumor microenvironment associated with treatment response and identified multiple biomarkers associated with treatment benefit in HGSC patients.

2025-05-07 | GSE279969 | GEO

7548f492-dc40-4c94-bf1c-c3c4465bc6e0 - samples

Project description:Sequencing data of 10 high-grade serous carcinoma (HGSC) patients (58 samples including blood derived normal samples as germline controls, fresh frozen tissue samples as tissue controls and organoids) sequenced with HiSeq X Ten / BGISEQ-500 / MGISEQ-2000.

| EGAD00001010019 | EGA

Targeted mass spectrometry of longitudinal patient sera reveals LTBP1 as a potential surveillance biomarker for high-grade serous ovarian carcinoma

Project description:Targeted proteomics dataset (PRM) investigating four potential biomarker candidates of high-grade serous ovarian carcinoma (FGL2, LGALS3BP, LTBP1, TIMP1) and the established biomarker CA125 in 212 serum samples taken from 34 HGSC patients during disease progression.

| MSV000092904 | MassIVE

ATAC-seq analysis for OVSAHO cells with upregulated SMARCA2 and downregulated SMARCA4 expression

Project description:The goal of this study is to explore the underlying mechanism which contributes to chemoresistance in high-grade serous carcinoma (HGSC) with low SMARCA4 and high SMARCA2 expression.

2023-02-07 | GSE212885 | 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