Dataset Information

MicroRNA expression in autonomous thyroid adenomas: correlation with mRNA regulation

ABSTRACT: MicroRNA (miRNA) are a class of small non-coding RNAs that act on the stability and the translation efficiency of their mRNA targets. Several evidences suggest that they play a role in tumorigenesis. So far, all types of thyroid tumors have been studied for miRNA expression except autonomous adenomas (AA), benign tumors characterized by the constitutive activation of the cAMP-dependent pathway, leading to a functional hyperactivity of the tissues. The objective of the study was to identify the deregulated miRNA in AA and to correlate the data with mRNA regulation observed in the same samples. AA and their corresponding adjacent tissues were hybridized on miRNA and mRNA microarrays. In order to investigate the correlation between both datasets and to identify mRNA regulations, bioinformatic mRNA target prediction softwares were used. 12 miRNAs were found as downregulated and 1 as upregulated in the tumors. Members of 3 different miR-families (miR-19, miR-29 and miR-135 families) were found among the regulated miRNA. By bioinformatic predictions we searched, among the mRNA microarray data, for regulated mRNA which could be targeted by the modulated miRNA. A great enrichment in mRNA encoding proteins involved in the extracellular matrix organization, as well as different phosphodiesterases were identified among the putative targets. The global miRNA profiles are not greatly modified, confirming the definition of these tumors as minimal deviation tumors. These results support a role for miRNA in ECM regulation and tissue remodelling occurring during tumor development, as well as in the retrocontrol of the activated cAMP pathway.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33079 | GEO | 2012/12/31

SECONDARY ACCESSION(S): PRJNA149527

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:This SuperSeries is composed of the following subset Series: GSE29173: MicroRNA sequence and expression analysis in breast tumors by deep sequencing [miRNA sequence data] GSE29174: MicroRNA sequence and expression analysis in breast tumors by deep sequencing [mRNA expression array data] MicroRNAs (miRNAs) regulate many genes critical for tumorigenesis. We profiled miRNAs from 11 normal breast tissues, 17 non-invasive, 151 invasive breast carcinomas, and 6 cell lines by in-house-developed barcoded Solexa sequencing. miRNAs were organized in genomic clusters representing promoter-controlled miRNA expression and sequence families representing seed-sequence-dependent miRNA-target regulation. Unsupervised clustering of samples by miRNA sequence families best reflected the clustering based on mRNA expression available for this sample set. Clustering and comparative analysis of miRNA read frequencies showed that normal breast samples were separated from most non-invasive ductal carcinoma in situ and invasive carcinomas by increased miR-21 (the most abundant miRNA in carcinomas) and multiple decreased miRNA families (including mir-98/let-7), with most miRNA changes apparent already in the non-invasive carcinomas. In addition, patients that went on to develop metastasis demonstrated increased expression of mir-423, and triple negative breast carcinomas were most distinct from other tumor subtypes due to up-regulation of the mir-17~92 cluster. However, absolute miRNA levels between normal breast and carcinomas did not reveal any significant differences. We also discovered two polymorphic nucleotide variations among the more abundant miRNAs miR-181a (T19G) and miR-185 (T16G), but we did not identify nucleotide variations expected for classical tumor suppressor function associated with miRNAs. The differentiation of tumor subtypes and prediction of metastasis based on miRNA levels is statistically possible, but is not driven by deregulation of abundant miRNAs, implicating far fewer miRNAs in tumorigenic processes than previously suggested. Refer to individual Series

Dataset Information

MicroRNA expression in autonomous thyroid adenomas: correlation with mRNA regulation

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets