Microrna Target Genes
Microrna Target Genes - Related Videos
10:48
Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes
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Cited by 11 •
2015
With the intent of characterizing changes in miRNAs on differentiated human neural stem cells (hNSCs) we describe hNSC differentiation on a three dimensional system,the evaluation of changes in microRNA expression by miRNA PCR array, and computational analysis for miRNA target prediction and its validation by dual luciferase assay.
08:56
Recombineering and Gene Targeting
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2023
One of the most widely used tools in modern biology is molecular cloning with restriction enzymes, which create compatible ends between DNA fragments that allow them to be joined together. However, this technique has certain restrictions that limit its applicability for large or complex DNA construct generation. A newer technique that addresses some of these shortcomings is recombineering, which modifies DNA using homologous recombination (HR), the exchange between different DNA molecules based...
09:45
An In Vitro Protocol for Evaluating MicroRNA Levels, Functions, and Associated Target Genes in Tumor Cells
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Cited by 2 •
2019
This protocol uses a probe-based real-time polymerase chain reaction (PCR), a sulforhodamine B (SRB) assay, 3’ untranslated regions (3’ UTR) cloning, and a luciferase assay to verify the target genes of a miRNA of interest and to understand the functions of miRNAs.
07:19
Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells
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Cited by 22 •
2011
MicroRNAs (miRNAs) are important regulators of gene expression and have been shown to play a role in numerous biological processes. To better understand miRNA-UTR interactions, we have created a genome-wide collection of 3 UTR luciferase reporters paired with a novel luciferase gene and assay reagent, the LightSwitch system.
07:23
Describing a Transcription Factor Dependent Regulation of the MicroRNA Transcriptome
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Cited by 3 •
2016
Herein we propose a strategy to study the effect of a transcription factor of interest on the microRNA transcriptome using publically available data, computational resources and high throughput data from microRNA arrays after transfecting cells with small hairpin (sh)RNA targeting a transcription factor of interest.
FAQs
A microRNA can reduce protein production through translational repression, meaning the messenger RNA remains present but is used less efficiently to make protein. In other cases, the regulated transcript becomes destabilized and undergoes degradation. Distinguishing these outcomes helps researchers interpret whether a change in gene expression reflects altered translation, reduced messenger RNA abundance, or both.
The seed region provides a key sequence-matching signal that helps guide regulatory recognition. Pairing between this region and a complementary sequence, typically in the messenger RNA’s 3′ untranslated region, supports recruitment of the RNA-induced silencing complex. Examining this pairing helps researchers connect a microRNA with a potential target gene and assess how post-transcriptional control may occur.
The outcome depends on how sequence recognition engages the messenger RNA and which regulatory response follows. Seed-region pairing can promote translational repression or messenger RNA destabilization and degradation, producing different molecular consequences. Because target genes participate in regulatory networks, examining these effects helps relate individual microRNA interactions to broader changes in cellular responses, differentiation, or development.
Researchers examine target-gene relationships to connect microRNAs with genes whose expression may be post-transcriptionally controlled. These relationships can then be considered within networks influencing development, differentiation, disease, and cellular responses. The resulting analysis provides a framework for studying coordinated regulation rather than treating each gene or microRNA interaction as an isolated event.
MicroRNA target-gene analysis provides a way to investigate whether genetic variation is associated with differences in post-transcriptional regulation. Researchers can compare regulatory relationships with variation-related patterns to explore how gene control may change across biological contexts. This approach extends genetics research beyond gene sequences alone by considering microRNA-mediated effects on expression.
Identifying these genes supports studies of development, differentiation, disease, and cellular responses by revealing regulatory relationships that may shape those processes. The analysis also contributes to biomarker discovery and to research on therapeutic strategies involving microRNA pathways. Its value comes from linking molecular regulation with biological states that researchers can investigate in genetics and related fields.