Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A microRNA and snoRNA expression profile in the synchronous colorectal cancer

ABSTRACT: We evaluated the profile of miRNA and snoRNA expression in 5 synchronous CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. A total of 24 miRNA differential expressed transcripts which represent 27 mature miRNAs, including an oncogenic miR-17-92a and oncosuppressive miR-143-145 cluster, and a global up-regulation of snoRNAs were revealed in cancer tissues compared with matched normal tissues. Global miRNA expression could distinguish synchronous cancer from normal mucosa. Our findings represent the first comprehensive miRNA and snoRNA expression signatures for synchronous CRC, which increase the understanding of the molecular basis of synchronous CRC, and firstly implicate that dysregulation of snoRNAs and miRNA clusters may present therapeutic targets for synchronous CRC.

ORGANISM(S): synthetic construct Homo sapiens

PROVIDER: GSE54632 | GEO | 2015/08/01

SECONDARY ACCESSION(S): PRJNA237230

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

A microRNA and snoRNA expression profile in the synchronous colorectal cancer

Project description:We evaluated the profile of miRNA and snoRNA expression in 5 synchronous CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. A total of 24 miRNA differential expressed transcripts which represent 27 mature miRNAs, including an oncogenic miR-17-92a and oncosuppressive miR-143-145 cluster, and a global up-regulation of snoRNAs were revealed in cancer tissues compared with matched normal tissues. Global miRNA expression could distinguish synchronous cancer from normal mucosa. Our findings represent the first comprehensive miRNA and snoRNA expression signatures for synchronous CRC, which increase the understanding of the molecular basis of synchronous CRC, and firstly implicate that dysregulation of snoRNAs and miRNA clusters may present therapeutic targets for synchronous CRC. Examination of microRNA and snoRNA expression in synchronous CRC and matched normal colorectal tissues

2015-08-01 | E-GEOD-54632 | biostudies-arrayexpress

Differential expression of microRNA and snoRNA of normal mucosa in patients with solitary and synchronous primary colorectal cancer

Project description:We evaluated the expression profile of miRNA and snoRNA of normal mucosa in five patients with synchronous CRCs and seven patients with solitary CRCs using the Affymetrix GeneChip miRNA 1.0 array. We found that global dysregulated miRNAs and snoRNAs in normal mucosa between solitary and synchronous CRC. Our findings represent the first comprehensive miRNA and snoRNA expression signatures in normal mucosa between solitary and synchronous CRC, which increases the understanding of the molecular basis of synchronous CRC, and firstly implicates the difference of genetic background in patients with solitary and synchronous CRC. Examination of microRNA and snoRNA expression of normal mucosa in patients with solitary and synchronous CRC.

2015-08-01 | E-GEOD-67895 | biostudies-arrayexpress

Differential expression of microRNA and snoRNA of normal mucosa in patients with solitary and synchronous primary colorectal cancer

2015-08-01 | GSE67895 | GEO

microRNA and snoRNA expression profile in the solitary colorectal cancer

Project description:We evaluated the profile of miRNA and snoRNA expression in 7 solitary CRC and matched normal colorectal tissues using the Affymetrix GeneChip miRNA 1.0 array. We found that global dysregulated miRNAs and snoRNAs between cancer tissue and normal mucosa in solitary CRC. Our findings firstly implicates that dysregulation of snoRNAs and miRNA may play important role in the cancinogenesis and present therapeutic targets for solitary CRC. Examination of microRNA and snoRNA expression in cancer and matched normal tissues of solitary CRC

2015-08-01 | E-GEOD-68377 | biostudies-arrayexpress

microRNA and snoRNA expression profile in the solitary colorectal cancer

2015-08-01 | GSE68377 | GEO

Annotation of snoRNA abundance across human tissues reveals complex snoRNA-host gene relationships

Project description:Background: Small nucleolar RNAs (snoRNAs) are mid-size non-coding RNAs required for ribosomal RNA modification, implying a ubiquitous tissue distribution linked to ribosome synthesis. However, increasing numbers of studies identify extra-ribosomal roles of snoRNAs in modulating gene expression, suggesting more complex snoRNA abundance patterns. Therefore, there is a great need for mapping the snoRNome in different human tissues as the blueprint for snoRNA functions. Results: We used a low structure bias RNA-Seq approach to accurately quantify snoRNAs and compare them to the entire transcriptome in seven healthy human tissues (breast, ovary, prostate, testis, skeletal muscle, liver and brain). We identify 475 expressed snoRNAs categorized in two abundance classes that differ significantly in their function, conservation level and correlation with their host gene: 390 snoRNAs are uniformly expressed and 85 are enriched in the brain or reproductive tissues. Most tissue-enriched snoRNAs are embedded in lncRNAs and display strong correlation of abundance with them, whereas uniformly expressed snoRNAs are mostly embedded in protein-coding host genes and are mainly non- or anticorrelated with them. 59% of the non-correlated or anticorrelated protein-coding host gene/snoRNA pairs feature dual-initiation promoters, compared to only 16% of the correlated non-coding host gene/snoRNA pairs. Conclusions: Our results demonstrate that snoRNAs are not a single homogeneous group of housekeeping genes but include highly regulated tissue-enriched RNAs. Indeed, our work indicates that the architecture of snoRNA host genes varies to uncouple the host and snoRNA expressions in order to meet the different snoRNA abundance levels and functional needs of human tissues.

2021-05-13 | GSE157846 | GEO

Expression data from Huh-7 cells

Project description:Small nucleolar RNAs (snoRNAs) dysfunction have been associated with cancer development. We investigated the function of an orphan C/D box class snoRNA, SNORD126, in hepatocellular carcinoma (HCC) and colorectal cancer (CRC) cells We used microarrays to identify targets with roles in SNORD126’s activity in Huh-7 cells

2016-03-23 | GSE79489 | GEO

RNA-seq of CRC tissues

Project description:CRC tissues plus matched normal tissues (Primary colon cancer, liver metastasis colon cancer and matched normal colon tissues from same patient) were subjected to RNA isolation and RNA-seq analyses were generated by deep sequencing using Illumina Hiseq.

2020-01-27 | GSE144259 | GEO

Identify the dysregulated miRNA in human colorectal cancer tissues

Project description:Dysregulated miRNA in human colorectal cancer (CRC) were identified through comparison between 4 CRC tumors and their adjacent normal tissues by miRNA array. Histologically-confirmed CRC were included in this study. CRC tissues and paired adjacent normal tissues were obtained from the resected surgical specimens. The adjacent normal tissue is composed of normal colonic mucosa located at approximately 10 cm away from the cancer tissue. miRNA profiling of 754 human miRNAs was performed using TaqMan Human MiRNA Array Set v3.0. Quantitative real-time polymerase chain reaction (Q-PCR) was performed using Applied Biosystems 7900HT Real-Time PCR System (Applied Biosystems). Results were analyzed by the SDS RQ Manager 1.2 software (Applied Biosystems). 4 CRC tissues and 4 adjacent normal tissues were subjucted to qPCR based miRNA expression profiling. Equal amount of total RNA were used for analysis.

2013-03-20 | E-GEOD-45349 | biostudies-arrayexpress

Identification of potential metastasis associated miRNAs in colorectal cancer

Project description:To identify potential metastasis associated miRNAs in colorectal cancer (CRC), we performed miRNA array on normal mucosa, CRC tissues without metastasis and CRC tissues with distant metastasis.

2018-09-22 | GSE120300 | 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