Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Advanced Genome Sequencing Approaches in Gastric Cancer

ABSTRACT: Advanced Genome Sequencing Approaches in Gastric Cancer

PROVIDER: PRJNA384277 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Single cell RNA sequencing of advanced gastric cancer

Project description:Single cell RNA sequencing of advanced gastric cancer

| PRJNA588620 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes for advanced gastric cancer with different tumour-stroma-scores

Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of advanced gastric cancer with different tumour-stroma-scores to identify the prognostic significance of tumour-stroma-score in advanced gastric cancer.

2021-11-29 | GSE179252 | GEO

Single cell RNA sequencing of advanced gastric cancer

Project description:To define the cellular characteristics of malignant ascites of advanced gastric cancer patients and search for therapeutic strategies, we applied single cell RNA sequencing to cancer cells and tumor associated macrophages (TAM), present in large numbers in malignant ascites. We analyzed 180 cells from 4 malignant ascites and 1 cerebrospinal fluid metastasis. The results indicate that the anti-inflammatory characteristics of the tumor associated macrophages are concocted by the tumor cells. By constructing reference transcriptomes for M1 and M2 type macrophages, we found a strong non-inflammatory property of macrophages recovered from the malignant ascites of gastric cancer.

2020-12-10 | GSE140182 | GEO

Early and advanced gastric cancer genomes

2014-06-30 | GSE57176 | GEO

Early and advanced gastric cancer genomes

Project description:Early gastric cancers (EGC) precede advanced gastric cancers (AGC) with a favorable clinical outcome compared to advanced gastric cancers (AGC). To understand the progression mechanisms of EGC to AGC, it is required to disclose the EGC and AGC genomes in terms of the the mutational and evolutionary perspectives. In this study, we performed whole-exome sequencing and copy number profiling of nine microsatellite (MS)-unstable (MSI-H) (5 EGC and 4 AGC) and eight MS-stable (MSS) gastric cancers (4 EGC and 4 AGC). Unexpectedly, we observed no substantial differences in the number, sequence composition and functional consequences (potential driver mutations and affected pathways) of the mutations and CNAs between EGC and AGC genomes in both MSI-H and MSS cases. Gastrectomy tissues from 17 GC patients were used for this study. The hospital pathology department confirmed pathologic features of the GC (e.g., EGC vs. AGC, differentiation, lymph node metastasis and TNM stage). All of the picked areas from tumor and normal areas were frozen, cut, and stained with hematoxylin & eosin (H&E). Two pathologists selected cases with rich tumor cell population (at least 60%), which were subsequently used in the study. Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.

2014-06-30 | E-GEOD-57176 | biostudies-arrayexpress

SAGE Hiroshima gastric cancer tissue

Project description:Human primary gastric cancer tissue SAGE libraries. Profile of the genes expressed in well and poorly differentiated gastric cancer, early and advanced gastric cancer, scirrhous type gastric cancer, and　lymph node metastasis determined through SAGE. Keywords = gastric cancer, histology, early gastric cancer, advanced gastric cancer, lymph node metastasis, scirrhous type gastric cancer Keywords: other

2003-07-21 | GSE545 | GEO

identification of differentially expressed Long Non-coding RNA profiles in advanced gastric cancer

Project description:Long non-coding RNAs (lncRNAs) may contribute to tumorigenesis and cancer progression by regulating the gene in various cancers, including advanced gastric cancer (AGC). To investigate differentially expressed lncRNAs in AGC, we use whole transcriptome sequencing in 3 pairs of human gastric adenocarcinoma and the corresponding normal tissues.

2023-08-10 | GSE210909 | GEO

Splicing targeting approaches highlight actionable vulnerabilities in advanced prostate cancer [22Rv1]

Project description:Splicing targeting approaches highlight actionable vulnerabilities in advanced prostate cancer [22Rv1]

| PRJNA982834 | ENA

Methylation profiling in gastric cancer

Project description:Methylation profiling in gastric cancer : normal serum vs Early and Advanced cancer serum

2012-08-17 | GSE39532 | GEO

Whole exome sequencing of advanced gastric cancer

Project description:To define the cellular characteristics of malignant ascites of advanced gastric cancer patients and search for therapeutic strategies, we obtained 5 malignant ascites and 1 cerebrospinal fluid from five patients with gastric cancer. We analyzed 180 cells from 4 malignant ascites and 1 cerebrospinal fluid metastasis. The results indicate that the anti-inflammatory characteristics of the tumor associated macrophages are concocted by the tumor cells. By constructing reference transcriptomes for M1 and M2 type macrophages, we found a strong non-inflammatory property of macrophages recovered from the malignant ascites of gastric cancer.

| EGAS00001004086 | EGA

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