Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Non-coding RNA expression in colorectal cancer

ABSTRACT: Expression was measured in 113 colorectal cancer samples using a costumized array.

ORGANISM(S): Homo sapiens

PROVIDER: GSE76713 | GEO | 2016/01/12

SECONDARY ACCESSION(S): PRJNA308445

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Non-coding RNA expression in colorectal cancer

Project description:Expression was measured in 113 colorectal cancer samples using a costumized array. Expression was measured in 113 human colorectal cancer samples using a custom-designed array containing 26,910 non-coding RNA features and a set of 6,856 protein-coding genes.

2016-01-12 | E-GEOD-76713 | biostudies-arrayexpress

Global lncRNA/mRNA expression analysis of colorectal tumor and non-tumor samples from 6 colorectal cancer patients

Project description:Given the role of lncRNAs and mRNAs in tumor pathogenesis, we set out to identify transcripts that potentially drive colorectal tumorigenesis. To do this, we performed microarray analysis on matched colorectal tumor and non-tumor samples from 6 colorectal cancer patients, and determined their lncRNA and mRNA expression profiles with Agilent microarrays (Arraystar Human LncRNA Array v3.0).

2018-01-20 | GSE109454 | GEO

Identifying biomarkers predicting response to chemotherapy in Stage II and Stage III colorectal cancer patients

Project description:Defining molecular features that can predict the response to chemotherapy for stage II-III colorectal cancer (CRC) patients remains challenging in cancer research. Most available clinical samples are Formalin-Fixed and Paraffin-Embedded (FFPE). Affymetrix GeneChip® Human Transcriptome Array 2.0 (HTA) is one platform marketed for high-throughput gene expression profiling for FFPE tissue samples. In this study, we analyzed the whole transcriptom gene expression of 156 CRC patient samples measured by this platform to identify biomarkers predicting the response to chemotherapy for stage II-III CRC patients.

2021-11-04 | GSE106584 | GEO

Colorectal cancer

Project description:Colorectal cancer

| PRJNA836954 | ENA

Colorectal cancer

Project description:Colorectal cancer

| PRJNA774637 | ENA

Gene level expression profiling of colorectal cancer tissue samples

2012-01-06 | GSE29638 | GEO

DNA hypermethylation in colorectal cancer: Colorectal cancer tissues vs. Adjacent non-tumor tissues

Project description:To identify novel hypermethylated genes in colorectal cancer (CRC) and to test their potential application in CRC early diagnosis, we performed a genome-wide screening of 57,723 CpG dinucleotides covering 4,010 genes in paired DNA samples extracted from 3 fresh frozen CRC tissues and their matching non-tumor adjacent tissues from a cohort of 3 CRC patients undergoing curative surgery using MIRA-based microarray. We also validated candidate hypermethylated genes screened by MIRA-based microarray in independent CRC samples using combined bisulfite restriction analysis. A total of 297 CpG dinucleotides in CRC covering 211 genes were found to be hypermethylated in CRC tissues. From these 211 candidate methylated genes, seven novel methylated genes were picked up for validation and three genes were confirmed to be methylated in cancer samples but not in non-cancer samples.We also compared the methylation levels of these three novel hypermethylated genes with those of Vimentin and SEPT9, well-known hypermethylated genes in CRC, and found that methylated PHOX2B, FGF12 and GAD2 were better than methylated Vimentin and SEPT9 in differentiating CRC cancer tissue from normal tissue. Significant enrichment analysis of GO terms of the hypermethylated genes showed that a high proportion of hypermethylated genes in tumor tissues are involved in regulation of transcription. Paired experiments, colorectal cancer tissue vs. adjacent non-cancer tissue. Biological replicates: 3 cancer replicates, 3 paired non-cancer replicates.

2011-11-14 | E-GEOD-33545 | biostudies-arrayexpress

Gene level expression profiling of colorectal cancer tissue samples

Project description:By the use of whole genome transcription analysis, we aimed to develop a gene expression classifier to increase the likelihood of identifying stage II colorectal cancer (CRC) samples with a poor prognostic outcome. Gene expression measurement were measured by the GeneChip® Human Exon 1.0 ST Arrays from Affymetrix. We analyzed genome-wide expression at the gene-level for an independent series of colorectal cancer tissue biopsies using the Affymetrix Human Exon 1.0 ST platform.

2012-01-06 | E-GEOD-29638 | biostudies-arrayexpress

Expression data from primary colorectal cancers

Project description:Samples were taken from colorectal cancers in surgically resected specimens in 155 colorectal cancer patients. The expression profiles were determined using Affymetrix Human Genome U133Plus 2.0 arrays. Our MSI/MSS classifier was applied to these samples. Keywords: Expression profiling by array

2009-01-22 | GSE13294 | GEO

Profiling of lncRNAs and protein-coding RNAs in colorectal cancer and of MYC-regulated lncRNAs and protein-coding RNAs

Project description:The Arraystar Human LncRNA Array v2.0 was designed for researchers who were interested in profiling both LncRNAs and protein-coding RNAs in human genome. 33,045 LncRNAs were collected from the authoritative data sources including RefSeq, UCSC knowngenes, Ensembl and many related literatures. This experiment is to profile lncRNAs and protein-coding RNAs using Arraystar Human LncRNA Array v2.0. Identification of coding RNAs and lncRNAs that are diffrentially expressed in colorectal cancer by comparing sample A-E (normal colorectal cells) vs sample F-J (colorectal tumor cells) and c-MYC-regulating lncRNAs by comparing sample 1-3 (triplicate of HCT116 cells treated with control siRNA) vs sample 4-6 (triplicate of HCT116 cells treated with siRNA targeting MYC) and sample 7-9 (triplicate of RKO cells treated with control siRNA) vs sample 10-12 (triplicate of RKO cells treated with siRNA targeting MYC) .

2013-09-20 | E-GEOD-39846 | 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