Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

A high-resolution map of functional miR-181 target sites in the thymus reveals the role of coding sequence targeting and alternative seed binding

ABSTRACT: MicroRNAs (miRNAs) are critical post-transcriptional regulators in many biological processes. They act by guiding RNA-induced silencing complexes to miRNA response elements (MREs) in target mRNA, resulting in translational inhibition and/or mRNA degradation. Efficient targeting depends on a combination of biochemically established targeting rules and contextual factors of a given miRNA and cell type. Here, we generated a high-resolution map of miR-181 MREs to define the targeting rules of miRNA miR-181a/b-1 in murine T-cell development. We uncovered a broad array of novel functional targets of miR-181 and demonstrated that miR-181 acts predominantly through RNA destabilization. High-resolution analysis validated the dominance of seed matches. Critically, we also discovered a unique alternative seed match for miR-181 and identified a distinct group of targets controlled by translational inhibition. In conclusion, deep profiling of miRNA MREs in primary cells is critical to expand physiologically relevant miRNA targetomes and helps to establish context-dependent miRNA targeting rules.

ORGANISM(S): Mus musculus

PROVIDER: GSE242304 | GEO | 2023/09/06

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

miR-522 Pulldown-seq in MDA-MB-468

Project description:Identifying miRNA-regulated genes is key to understanding miRNA function. However, many miRNA recognition elements (MREs) do not follow canonical seed base-pairing rules, making identification of bona fide targets challenging. Here, we apply an unbiased sequencing-based systems approach to characterize miR-522, a member of the oncogenic primate-specific chromosome 19 miRNA cluster, highly expressed in poorly differentiated cancers. To identify miRNA targets, we sequenced full-length transcripts captured by a biotinylated miRNA mimic (this dataset). Within these targets, mostly non-canonical MREs were identified by sequencing RNase-resistant fragments.

2014-06-03 | E-MTAB-2112 | biostudies-arrayexpress

miR-522 IMPACT-seq in MDA-MB-468

Project description:Identifying miRNA-regulated genes is key to understanding miRNA function. However, many miRNA recognition elements (MREs) do not follow canonical seed base-pairing rules, making identification of bona fide targets challenging. Here, we apply an unbiased sequencing-based systems approach to characterize miR-522, a member of the oncogenic primate-specific chromosome 19 miRNA cluster, highly expressed in poorly differentiated cancers. To identify miRNA targets, we sequenced full-length transcripts captured by a biotinylated miRNA mimic. Within these targets, mostly non-canonical MREs were identified by sequencing RNase-resistant fragments (this dataset).

2014-06-03 | E-MTAB-2119 | biostudies-arrayexpress

miR-eCLIP of miR181-5p in mouse thymocytes.

Project description:Enriched eCLIP combined with miR-181a/b-1 deficiency allows for the stringent identification of 6,729 miR-181 MREs in murine thymocytes.

2023-09-04 | GSE241905 | GEO

Circulating miR-181 is a prognostic biomarker for amyotrophic lateral sclerosis

Project description:We report that high levels of miR-181, a miRNA enriched in neurons of the brain and spinal cord, predicts a >2 fold risk of death in ALS patients

2021-03-12 | GSE168714 | GEO

Identification of miR-181 target genes and a common prognostic gene signature in AML

Project description:Increased expression levels of miR-181 family members have been shown to be associated with favorable outcome in patients with cytogenetically normal acute myeloid leukemia. Here we show that increased expression of miR-181a and miR-181b is also significantly (P < .05; Cox regression) associated with favorable overall survival in cytogenetically abnormal AML (CA-AML) patients. We further show that up-regulation of a gene signature composed of 4 potential miR-181 targets (including HOXA7, HOXA9, HOXA11, and PBX3), associated with down-regulation of miR-181 family members, is an independent predictor of adverse overall survival on multivariable testing in analysis of 183 CA-AML patients. The independent prognostic impact of this 4-homeobox-gene signature was confirmed in a validation set of 271 CA-AML patients. Furthermore, our in vitro and in vivo studies indicated that ectopic expression of miR-181b significantly promoted apoptosis and inhibited viability/proliferation of leukemic cells and delayed leukemogenesis; such effects could be reversed by forced expression of PBX3. Thus, the up-regulation of the 4 homeobox genes resulting from the down-regulation of miR-181 family members probably contribute to the poor prognosis of patients with nonfavorable CA-AML. Restoring expression of miR-181b and/or targeting the HOXA/PBX3 pathways may provide new strategies to improve survival substantially. In addition, this data set has been used to identify a common prognostic gene signature (Li Z. et al. unpublished). 65 human AML samples bearing various cytogenetic and molecular abnormalities are used to identify miR-181 target genes and a common prognostic gene signature.

2012-04-03 | E-GEOD-30258 | biostudies-arrayexpress

miR-181 regulates colonic inflammation

Project description:The intestinal epithelium is a key physical interface that integrates dietary and microbial signals to regulate nutrient uptake and mucosal homeostasis. Intestinal epithelial cells (IECs) have a high turnover rate driven by the death of terminally differentiated cells with concurrent stem cell proliferation, a process critical for maintaining intestinal homeostasis and protecting against mucosal inflammation. The transcriptional programs that regulate IEC quiescence, proliferation, and differentiation have been well-characterized. However, how gene expression networks critical for IEC functions are regulated at the post-transcriptional level during homeostasis or inflammatory disease remains poorly understood. Herein, we show that a conserved family of microRNAs, miR-181, is significantly downregulated in IECs from patients with inflammatory bowel disease and mice with chemical-induced colitis. Strikingly, we showed that miR-181 expression within IECs, but not the hematopoietic system, is required for protection against the development of severe colonic inflammation in response to epithelial injury in mice. Mechanistically, we showed that miR-181 expression increases the proliferative capacity of IECs, likely through the regulation of Wnt signaling, independently of gut microbiota composition. As epithelial reconstitution is crucial for restoring intestinal homeostasis after injury, the miR-181 family represents a potential novel therapeutic target in IECs for protection against severe intestinal inflammation.

2022-07-25 | GSE208410 | GEO

Transcription profiling by array of Jurkat cells following miR-181 over-expression

Project description:miR-181 is often dysregulated in several types of cancer. This dataset can represent a further insight into gene expression changes and GO Terms associated with miR-181 over-expression. miR-181 was over-expressed in Jurkat cells by transduction with a lentiviral transgenic construct encoding for miR-181 under a PGK promoter. A cognate vector encoding for a control hairpin was used to generate control cell line. mRNA Microarray gene expression profiling of Jurkat cells tranduced with either a miR-181 sponge or control construct. 3 biological replicas have been performed. Note that the control samples are the same as those used in the related experiment E-MTAB-4588

2016-03-24 | E-MTAB-4602 | biostudies-arrayexpress

Identification of miR-181 target genes and a common prognostic gene signature in AML

2012-04-04 | GSE30258 | GEO

miR-181 regulates colonic inflammation

Project description:miR-181 regulates colonic inflammation

| PRJNA859816 | ENA

The HER2-encoded miR-4728-3p regulates ESR1 through a non-canonical internal seed interaction

Project description:Since the early 1980s remarkable progress has been made in understanding the role of the HER2 locus in carcinogenesis, but many details of its regulatory network are still elusive. We recently reported the finding of 367 new human microRNA (miRNA) genes of which one, mir-4728, is encoded in an intron of the HER2 gene. Here, we confirm that the HER2 oncogene is a bi-functional locus encoding the membrane receptor and a functional miRNA gene. We further show that miR-4728-3p has alternative functionalities depending on the region used for interaction with its target; the canonical seed between nucleotides 2-8 or a novel, more internal seed shifted to nucleotides 6-12. Analysis of public data shows that this internal seed region, although rare compared to the far more abundant canonical 2-8 seed interaction, can also direct targeted down-regulation by other miRNAs. Through the internal seed, miR-4728-3p regulates expression of estrogen receptor alpha, an interaction that would have remained undetected if classic rules for miRNA-target interaction had been applied. In summary, we present here an alternative mode of miRNA regulation and demonstrate this dual function of the HER2 locus, linking the two major biomarkers in breast cancer. 6 samples treated with hsa-miR-4728-3p mimic and 6 samples treated with non-targeting control 4 samples treated with hsa-miR-1-3p mimic and 4 samples treated with non-targeting control

2014-08-13 | E-GEOD-55822 | 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