Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of Differentially Expressed Long non-Coding RNAs in Renal Cancer Tissues: A Comparative Analysis of Cancerous and Adjacent Non-Cancerous Samples

ABSTRACT: Identification of Differentially Expressed Long non-Coding RNAs in Renal Cancer Tissues: A Comparative Analysis of Cancerous and Adjacent Non-Cancerous Samples

PROVIDER: PRJNA1221801 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Identification of Differentially Expressed Long non-Coding RNAs in Renal Cancer Tissues: A Comparative Analysis of Cancerous and Adjacent Non-Cancerous Samples

Project description:This study aims to investigate the role of Long non-coding RNAs (lncRNAs) in renal cell carcinoma (RCC). By analyzing differential expression of lncRNAs between three pairs of RCC and adjacent non-cancerous tissues, the study seeks to identify lncRNAs that are specifically expressed in RCC. These findings could provide insights into the molecular mechanisms of RCC and potential biomarkers for diagnosis or therapeutic targets.

2025-06-25 | GSE289145 | GEO

Gene expression profile of cancerous and non-cancerous renal tissues

Project description:Gene expression profile of cancerous and non-cancerous renal tissues

| PRJNA714233 | ENA

DNA methylation profile of cancerous and non-cancerous renal tissues

Project description:DNA methylation profile of cancerous and non-cancerous renal tissues

| PRJNA701825 | ENA

Expression data of LncRNA from Human rectal cancer tissues and adjacent non-cancerous tissues

Project description:Rectal carcinoma(RC) is one of the most common malignant tumor of the digestive tract in humans.Long non-coding RNA (lncRNA) plays a vital role in tumor regulation.Nevertheless, the exact expression features and functions of lncRNAs are still obscure.To investigate aberrantly expressed lncRNAs and mRNAs in RC, we screened the crucial differentially expressed lncRNA and mRNA in RC tissues and paire-matched adjacent non-cancerous tissues.These differentially expressed lncrnas are likely to play a key role in the tumorigenesis and development of RC, and may be used as a novel tumor biomarker for the diagnosis or prognosis of RC. We used Affymetrix human GeneChip to screen the candidate differentially expressed lncRNAs and mRNAs in RC tissues and paire-matched adjacent non-cancerous tissues.Subsequently, the candidate differentially expressed lncRNAs and mRNAs were verified by qRT-PCR.

2019-11-02 | GSE139814 | GEO

Noncoding RNA and mRNA expression data from human colorectal cancer tissues and adjacent non-cancerous tissues

Project description:Total RNA from 6 pairs colorectal cancer tissues and its matched adjacent non-cancerous tissues was extracted and sequenced by high throughput sequencing. Then, differentially expressed circRNAs, long noncoding RNAs, and mRNAs were showed in colorectal cancer.

2023-01-18 | GSE143939 | GEO

Gene expression profiling of human gastric tumors and adjacent non-cancerous mucosa

Project description:Gastric cancer is a heterogeneous disease. The molecular mechanism behind the development of gastric cancer and the different histological subtypes, are yet not completely clear. A better understanding of this may result in better prevention, early diagnosis and treatment strategies. In this study we analyzed gene expression in tumor, adjacent non-cancerous mucosa biopsies and in age/sex matched samples from healthy individuals.

2014-09-03 | E-MTAB-1338 | biostudies-arrayexpress

Expression data of LncRNA from Human rectal cancer tissues and adjacent non-cancerous tissues

Project description:Expression data of LncRNA from Human rectal cancer tissues and adjacent non-cancerous tissues

| PRJNA587091 | ENA

Expression data from paired human primary HCC tissues and adjacent non-cancerous liver tissues.

Project description:Expression data from paired human primary HCC tissues and adjacent non-cancerous liver tissues.

| PRJNA699510 | ENA

Gene expression profile of clinical LUAD tumors and their paired non-cancerous adjacent tissues by RNA-seq analysis

Project description:Purpose: Transcriptomic analysis of clinical tissue samples is important in the precision medicine research. To explore the relationship between transcriptome and full proteome, 51 LUAD tumor tissues and 49 paired non-cancerous adjacent tissues were systematically analyzed by RNA sequencing. Methods: RNASeq reads were adapter trimmed and data quality was assessed with the FastQC (version 0.11.7) software before any data filtering criteria may apply. Reads were mapped onto the human reference genome (GRCh38.p12 assembly) by using hisat2 software (v2.0.4). The mapped reads were assembled into transcripts or genes by using StringTie software (v1.3.4d) and the genome annotation file (hg38_ucsc.annotated.gtf). For quantification purpose, the relative abundance of transcript/gene was measured by a normalized metrics, FPKM (Fragments Per Kilobase of transcript per Million mapped reads). Results: In our study, RNA-seq analysis identified 16,188 genes with FPKM > 1, providing an opportunity to explore the relationship between the transcriptome and full proteome. Conclusions: Our study provided an opportunity to explore the relationship between the transcriptome and full proteome of clinical LUAD tumors and their paired non-cancerous adjacent tissues.

2020-07-10 | GSE140343 | GEO

Paired non-cancerous and cancerous miRNA expression of esophageal adenocarcinoma and squamous cell carcinoma patients

Project description:Identifying biomarkers predictive for early esophageal cancer detection is critical considering the dismal survival rates. We investigated the involvement of microRNAs (miRNAs), their utility as biomarkers, and their association with survival in esophageal cancer, including Barrett’s associated and sporadic adenocarcinoma (ADC), and squamous cell carcinoma (SCC). MiRNA expression was measured in cancerous and adjacent non-cancerous tissue pairs collected from 76 US and Japanese patients enrolled in 3 distinct cohorts. In ADC patients, miR-21, miR-194, miR-293, and miR-223 expression was elevated, while miR-375 and miR-203 expression was reduced in cancerous tissue compared to non-cancerous tissue. Increased levels of miR-192 and miR-194 were observed in Barrett’s associated compared to sporadic ADC cancerous tissue. In SCC patients, miR-21, miR-181b, miR-155, and miR-146b expression was elevated while miR-375 and miR-203 levels were reduced in cancerous tissue compared to non-cancerous tissue. Significantly, elevated mir-21 expression in non-cancerous tissue was strongly associated with worse prognosis, independent of nodal status and age. Sample classification using miRNA expression yielded accuracies as high as 86% for diagnosis and 78% for Barrett’s esophagus status. Our results highlight that miRNAs are deregulated in esophageal carcinogenesis and Barrett’s esophagus, and that their expression is associated with survival in cancer patients. Sample classification using miRNA expression demonstrates their potential utility as biomarkers for esophageal carcinoma diagnosis.

2010-07-09 | GSE13937 | GEO

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