Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

D67fb4e2-b870-4f36-b590-9d8c4393dcf6 - samples

ABSTRACT: This dataset contains 31 pancreatic organoid samples used in the 'organoid data of pancreatic cancers ' study

PROVIDER: EGAD00001004528 | EGA |

REPOSITORIES: EGA

ACCESS DATA

Json Xml

Similar Datasets

Fiber-associated Lachnospiraceae reduce colon tumorigenesis by modulation of the tumor-immune microenvironment

Project description:This contains the sequence data for the human RNA-seq samples used in this study.

| PRJEB43261 | ENA

Bulk RNA sequencing of ovarian tumor samples from high-grade serous ovarian cancer patients [RNA-Seq]

Project description:High-grade serous ovarian cancer (HGSOC) is thought to originate from the fallopian tube (FT), highlighting the importance of studying molecular features across tumor samples. This dataset contains bulk RNA sequencing data from tumor samples of HGSOC patients. The data can be used for driver mutations and copy number alterations (CNAs) profiling and analysis of gene expression patterns, including regions relevant to HLA typing. This submission contains bulk RNA sequencing data associated with this study.

2026-04-07 | GSE301179 | GEO

A Chemical-Genetic Interaction Matrix Reveals Drug Mechanism and Genetic Architecture

Project description:This dataset contains the RNA-seq data associated with a CRISPR/Cas9 study for which the screen results (sgRNA reads) are included in the GEO record GSE15547. Specifically, this dataset contains the RNA-seq results used to assess absolute gene expression in Nalm-6 cells, results for 3 PPP3CA knockout polulations, 3 PPP3R1 knockout populations, one FK-506 (tacrolimus) treated population and ERCC spike-in experiments on PABIR1 (formerly FAM122A) knockout cells, each with their own wild type and/or DMSO-treated control samples.

2026-03-13 | GSE316956 | GEO

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer (II)

Project description:This microarray dataset contains 51 triple-negative breast cancers, 25 normal breast tissues, and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). Keywords: Expression profiling by array

2014-01-02 | GSE53752 | GEO

A set of 72 differentially expressed miRNAs provide a molecular signature for pancreatic cancer

Project description:MicroRNAs (miRNAs) are short single-stranded RNA molecules that have a critical role in the regulation of gene expression. Alterations in miRNA expression levels have been observed in multiple tumor types and there is clear evidence on their active involvement in cancer development. Here, a comprehensive miRNA expression profiling in 16 pancreatic cancer cell lines and four normal pancreatic samples provided a specific molecular signature for pancreatic cancer and enabled us to identify 72 differentially expressed miRNAs with approximately half of them being up- and half downregulated in cancer cells as compared to normal samples. Of these, miR-31 was selected for further functional analyses based on its interesting “on-off” type expression profile, i.e. very low or even absent expression in normal pancreas and in six of the pancreatic cancer samples but extremely high expression in the remaining ten cell lines. Quite unexpectedly, both the inhibition of miR-31 in AsPC-1 and HPAF-II pancreatic cancer cells with high endogenous expression and forced expression of miR-31 in MIA PaCa-2 with low endogenous levels led to reduced cell proliferation, migration and invasion. More importantly, in AsPC-1 cells further enhancement of miR-31 also resulted in reduced cell migration and invasion, implicating that the level of miR-31 is critical for these phenotypes. We also identified novel miR-31 target genes, APBB2 and RSBN1, that might contribute to cancer pathogenesis. This study highlights a specific miRNA expression pattern in pancreatic cancer and reveals that manipulation of miR-31 expression leads to reduced cell migration and invasion in pancreatic cancer.

2012-03-31 | GSE28955 | GEO

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

Project description:This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.

2012-11-01 | GSE33926 | GEO

Integrated Proteomic Analysis of YCC-Derived Organoids

Project description:This dataset contains proteomic and phosphoproteomic profiles generated from YCC-derived organoid models. The study includes paired models established from the same patient-derived materials to investigate molecular differences associated with organoid growth and tumor-related biological features. In addition, a larger set of organoids derived from different cancer patients was included to explore global proteomic clustering patterns and subgroup-specific molecular characteristics.

2026-06-19 | PXD076305 | Pride

Fiber-associated Lachnospiraceae reduce colon tumorigenesis by modulation of the tumor-immune microenvironment

Project description:This repository contains the sequence data of all the human and mice shotgun sequenced samples used in this study

| PRJEB43260 | ENA

Exon array analysis reveals neuroblastoma tumors have distinct alternative splicing patterns according to stage and MYCN amplification status

Project description:This dataset contains Human Exon 1.0 ST Array data from 47 neuroblastoma samples

2011-03-01 | GSE27608 | GEO

RNA sequencing of pancreatic adenocarcinoma (PDAC) xenograft samples

Project description:Pancreatic adenocarcinoma (PDAC) is one of the most lethal human malignancies and a major health problem. Patient-derived xenografts (PDX) are appearing as a prime approach for preclinical studies despite being insufficiently characterized as a model of the human disease and its diversity. We generated subcutaneous PDX from PDAC samples obtained either surgically or using diagnostic biopsies (endoscopic ultrasound guided fine needle aspirate). The extensive multiomics characterization of the xenografts demonstrated that PDX is a suitable model for preclinical studies, representing the diversity of the primary cancers. this dataset, describe the RNA sequencing data used in the multiomics study.

2017-12-12 | E-MTAB-5039 | biostudies-arrayexpress

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