Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression data for tumor and paired adjacent normal tissues from colorectal cancer patients

ABSTRACT: Gene expression data for tumor and paired adjacent normal tissues from colorectal cancer patients

PROVIDER: PRJNA657579 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Long noncoding RNA (lncRNA) expression profiles in colorectal cancer tissues and paired adjacent normal tissues

Project description:Long noncoding RNAs (lncRNAs) play important roles in the tumorigenesis and metastasis of colorectal cancer (CRC). This study used a lncRNA microarray to analyze the aberrant lncRNA expression profiles in CRC tissues compared with paired adjacent normal tissues as well as CRC with regional lymph nodes metastasis compared with CRC without regional lymph nodes metastasis.

2020-05-12 | GSE84983 | GEO

Gene expression data for tumor and paired adjacent normal tissues from colorectal cancer patients

Project description:We have employed whole genome microarray to compare the gene expression profile of tumor tissues and paired adjancent normal colonic tissues from six colorectal cancer patients.

2020-08-18 | GSE156355 | 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

Transcriptome sequencing of laryngeal squamous cell carcinoma and paired adjacent normal mucosa tissues

Project description:Laryngeal squamous cell carcinoma (LSCC) is a common form of head and neck cancer. However, the mechanism underlying the pathogenesis of LSCC remains unclear. To identify dysregulated genes in LSCC.Transcriptome sequencing were performed was performed on a cohort of 53 LSCC tissues and 53 paired adjacent normal mucosa tissues.

2020-11-02 | GSE142083 | GEO

Expression data from colorectal cancer and the adjacent normal tissues infected without F. nucleatum

Project description:Colorectal cancer and the adjacent normal tissues (CONTROL) infected with F. nucleatum. Total RNA of cells was extracted using the TRIzol® Reagent (Life Technologies) and cDNA was generated using the PimeScript TMRT Reagent Kit (Takara). We used microarrays to detail the global programme of gene expression underlying cellularisation and identified distinct classes of up-regulated and down-regulated genes between Colorectal cancer and the adjacent normal tissues (CONTROL) infected without F. nucleatum .

2018-11-06 | GSE122183 | GEO

RNA-seq of two paired normal and cancer tissues in two stage III colorectal cancer patients

Project description:The RNA from two paired normal and colorectal tumor tissue were sequenced by Illumina genome analyzer. 0.8 to 1.1 million reads were generated. Sequencing data was aligned with human RNA, human mitochondrial DNA and human genomic DNA by BWA. Base calling and Phred-like score was calculated by SAMTools. Whole transcriptome sequence of paired normal and tumor tissues obtained from two colorectal cancer patients

2011-05-28 | E-GEOD-29580 | biostudies-arrayexpress

microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa

Project description:Comparing to matched normal mucosa, WTX was lost in most of human colorectal cancers (Zhang et al., 2016). We analyzed the microRNA expression profiling among WTX low human colorectal cancer tissues and matched adjacent WTX high normal colorectal mucosa. The aimed to identify the unique signature of miRNAs which related to WTX loss in human colorectal cancers.

2017-02-15 | GSE94881 | GEO

Whole transcriptome sequencing of 50 laryngeal squamous cell carcinoma and paired adjacent normal tissues

Project description:Laryngeal squamous cell carcinoma (LSCC) is a common form of head and neck cancer with poor prognosis. However, the mechanism underlying the pathogenesis of LSCC remains unclear. We performed high throughout transcriptome sequencing to identify lncRNA, mRNA, and circRNA that associated with LSCC progression.Transcriptome sequencing were performed on a cohort of LSCC tissues (50 samples) and paired adjacent normal mucosa tissues (50 samples).

2023-05-24 | GSE130605 | GEO

Small RNA sequencing of 57 laryngeal squamous cell carcinoma and paired adjacent normal tissues

Project description:Laryngeal squamous cell carcinoma (LSCC) is a common form of head and neck cancer with poor prognosis. However, the mechanism underlying the pathogenesis of LSCC remains unclear. We performed high throughout sequencing to identify miRNA that associated with LSCC progression.Small RNA libraries were constructed followed by sequencing on a cohort of LSCC tissues (57 samples) and paired adjacent normal mucosa tissues (57 samples).

2020-06-17 | GSE133632 | GEO

Whole transcriptome sequencing of 57 laryngeal squamous cell carcinoma and paired adjacent normal tissues

Project description:Laryngeal squamous cell carcinoma (LSCC) is a common form of head and neck cancer with poor prognosis. However, the mechanism underlying the pathogenesis of LSCC remains unclear. We performed high throughout transcriptome sequencing to identify lncRNA and mRNA that associated with LSCC progression.Transcriptome sequencing were performed on a cohort of LSCC tissues (57 samples) and paired adjacent normal mucosa tissues (57 samples).

2020-06-17 | GSE127165 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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