Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Difference of LncRNAs expression between colorectal tumor tissues and paracancer normal intestinal mucosal tissues

ABSTRACT: Difference of LncRNAs expression between colorectal tumor tissues and paracancer normal intestinal mucosal tissues

PROVIDER: PRJNA767005 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Difference of LncRNAs expression between colorectal tumor tissues and paracancer normal intestinal mucosal tissues

Project description:To identify the difference of LncRNAs expression between colorectal tumor tissues and paracancer normal intestinal mucosal tissues

2023-09-13 | GSE184903 | GEO

All the regulated lncRNAs in breast cancer tissues compared to adjacent normal breast tissues

Project description:Circulating transcriptional landscapes between breast cancer tissues and adjacent normal tissues were compared using the Affymetrix Human OE LncRNA Microarray with probes for profiling of 63542 human lncRNAs. Goal was to investigate potential lncRNAs involved in breast cancer progression.

2019-01-26 | GSE125677 | GEO

Difference of gene expression between colorectal tumor tissues with and without metastasis

Project description:To identify the difference of genes expression bewteen colorectal tumor tissues with and without metastasis

2019-12-31 | GSE109910 | GEO

All the regulated lncRNAs in breast cancer tissues compared to adjacent normal breast tissues

Project description:All the regulated lncRNAs in breast cancer tissues compared to adjacent normal breast tissues

| PRJNA517149 | ENA

Difference of gene expression between colorectal tumor tissues with and without metastasis

Project description:Difference of gene expression between colorectal tumor tissues with and without metastasis

| PRJNA432332 | ENA

lncRNAs and mRNAs expression data in esophageal squamous cell carcinoma(ESCC) and adjacent normal tissues

Project description:The differential expression profile of lncRNAs and mRNAs in esophageal squamous cell carcinoma in high-incidence areas of China was constructed and co-expression correlation analysis was performed. The expression profile of lncRNAs in ESCC tissues was significantly different from that in adjacent normal tissues. Co-expression analysis revealed that lncRNA may be involved in the occurrence and development of esophageal cancer, thus providing a new basis for the diagnosis and treatment of esophageal cancer.

2023-09-10 | GSE157804 | GEO

Genome-wide microarray analysis to identify the differentially expressed patterns of lncRNAs of cholesteatoma tissues compared with matched normal skin tissues.

Project description:We performed genome-wide microarray analysis to identify the differentially expressed patterns of lncRNAs in cholesteatoma. Our data indicated that lncRNA expression profiles were significantly altered in cholesteatoma compared with normal skin tissues. A total of 787 lncRNAs were identified (fold change ≥2.0, P < 0.05), consisting of 181 upregulated and 606 downregulated lncRNAs.

2018-05-09 | GSE102673 | GEO

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

The transcriptome difference between colorectal tumor and normal tissues revealed by single-cell sequencing.

Project description:The previous cancer studies were difficult to reproduce since the tumor tissues were analyzed directly. But the tumor tissues were actually a mixture of different cancer cells. The transcriptome of single-cell was much robust than the transcriptome of a mixed tissue. The single-cell transcriptome had much smaller variance. In this study, we analyzed the single-cell transcriptome of 272 colorectal cancer (CRC) epithelial cells and 160 normal epithelial cells and identified 342 discriminative transcripts using advanced machine learning methods. The most discriminative transcripts were LGALS4, PHGR1, C15orf48, HEPACAM2, PERP, FABP1, FCGBP, MT1G, TSPAN1 and CKB. We further clustered the 342 transcripts into two categories. The upregulated transcripts in CRC epithelial cells were significantly enriched in Ribosome, Protein processing in endoplasmic reticulum, Antigen processing and presentation and p53 signaling pathway. The downregulated transcripts in CRC epithelial cells were significantly enriched in Mineral absorption, Aldosterone-regulated sodium reabsorption and Oxidative phosphorylation pathways. The biological analysis of the discriminative transcripts revealed the possible mechanism of colorectal cancer.

| S-EPMC6843882 | biostudies-literature

Illumina HumanMethylation 450k profiling of matched colorectal cancer and adjacent normal mucosal samples.

Project description:Twenty-four pairs of colorectal cancer and adjacent normal mucosal samples form a South African cohort were profiled using Illumina HumanMethylation 450k Beadchips.

2015-01-31 | E-MTAB-3027 | 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