Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-PROT-103

ABSTRACT: Quantitative proteomics analysis of paired colorectal cancer and non-tumorigenic tissues

PROVIDER: E-PROT-103 | ExpressionAtlas | 2023-06-21

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-PROT-103-MappedToGeneID.txt	Txt
	E-PROT-103-MaxQuant_Summary_ExpressionAtlas_LabelFree_Rmarkdown.pdf	Pdf
	E-PROT-103-analysis-methods.tsv	Tabular
	E-PROT-103-configuration.xml	Xml
	E-PROT-103-factors.xml	Xml

Items per page:

1 - 5 of 11

Similar Datasets

Human colorectal cancer LC-MS/MS

Project description:The global crotonylome of human colorectal cancer and paired paracancerous tissues using quantitative proteomics.

2023-10-24 | PXD025709 | Pride

miRNA sequencing profiling of paired colorectal cancer and adjacent non-tumor tissues

Project description:This study performed microRNA sequencing on 16 human tissue samples from 8 paired primary colorectal adenocarcinoma and matched adjacent non-tumor tissues. The aim was to identify differentially expressed microRNAs associated with colorectal cancer and to provide sequencing evidence for downstream molecular validation. The analysis focused on miRNA-183-3p, which was found to be upregulated in colorectal cancer tissues and was further investigated for its relationship with ESR1 repression.

2026-07-31 | GSE336637 | GEO

Indirect expression microarray from 5 pairs of tissues from colorectal cancer patients

Project description:5 colorectal cancer (CRC) tissues and 5 paired non-tumor tissues from CRC patients were indirectly compared using a 17K cDNA microarray.

2011-12-27 | GSE19659 | GEO

miRNA sequencing profiling of paired colorectal cancer and adjacent non-tumor tissues

Project description:miRNA sequencing profiling of paired colorectal cancer and adjacent non-tumor tissues

| PRJNA1482128 | ENA

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

Single-cell RNA sequencing of primary colorectal cancer, matched adjacent normal tissues, and paired liver metastases

Project description:This study will perform single-cell RNA sequencing on primary tumor tissues (T) and matched adjacent non-tumor tissues (N) from six colorectal cancer patients, along with paired liver metastatic lesions (M) from three of these patients, to construct an integrated single-cell atlas spanning primary tumors, adjacent normal tissues, and distant metastases. This multi-region, patient-matched design enables systematic dissection of cellular heterogeneity, dynamic immune responses, and key molecular mechanisms driving metastasis in colorectal cancer.

2026-04-02 | GSE315534 | GEO

Homo sapiens

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

| PRJNA148895 | ENA

MicroRNA profiling by array of colorectal cancer tissue

Project description:We determined expression profiles of 667 miRNAs using TaqMan Low Density Arrays (TLDA-TaqMan Array Human MicroRNA Card Set v2.0, Applied Biosystems) in 8 samples of colorectal cancer tissues and 8 samples of paired non-tumoral colonic tissues.

2012-03-31 | E-MEXP-3515 | biostudies-arrayexpress

circRNA expression data from human colorectal cancer tissues and the correponding non-cancerous tissues

Project description:To identifythe the functional roles of circRNAs in human colorectal cancer, we analysed the differenial expression of circRNAs in 5 colorectal cancer tissues and the corresponding non-cancerous tissues. We used microarrays to detail the global programme of circRNA expression in human colorectal cancer tissues and correponding non-cancerous tissues.

2020-01-03 | GSE142837 | GEO

Project description:RNA sequence data of clinical colorectal cancer tissues and paired normal tissues

| PRJNA1145187 | ENA