GO:0035198 miRNA binding: Mechanism, Genes and Research Methods
Research-grade guide for scientists and biopharma professionals
Key Takeaways
• GO:0035198 (miRNA binding) is a molecular function describing the binding of a protein or RNA to a microRNA, a 21-23 nucleotide RNA processed from a stem-loop precursor.
• miRNA binding underlies target recognition, miRNA sorting into exosomes, and the regulation of miRNA stability and activity.
• RNA-binding proteins such as hnRNPA2B1, AGO2, and other RBP components are central to miRNA binding events.
• Position-wise binding preferences and sequence motifs determine how miRNA binding sites are recognized and predicted.
• Host miRNA binding to viral RNA can influence virus multiplication, linking this function to infection biology.
• Databases and deep-learning tools now predict the effects of SNPs in miRNA genes or miRNA-binding sites, making this term highly relevant to variant interpretation.
Description
GO:0035198, miRNA binding, is a molecular function term in the Gene Ontology that captures the binding of a molecule to a microRNA, a short 21-23 nucleotide RNA processed from a stem-loop precursor encoded in plant and animal genomes. This function is fundamental to how miRNAs exert their regulatory roles, because miRNA binding determines which transcripts are targeted, how miRNAs are sorted into extracellular vesicles, and how miRNA activity is modulated by RNA-binding proteins. Understanding miRNA binding is therefore central to studies of gene regulation, disease mechanisms, and RNA-based therapeutics. The term is distinct from miRNA processing or miRNA-mediated gene silencing; it specifically describes the binding event itself, which can involve proteins such as Argonaute, hnRNPA2B1, or other RNA-binding proteins. Because miRNA binding sites are short and imperfectly complementary, computational prediction of binding remains challenging, and position-wise binding preferences are important for accurate target site prediction. Recent deep-learning approaches such as miRBind have been developed specifically to classify miRNA binding events, reflecting the growing need for reliable binding prediction in genomics and disease research. This article summarizes the definition, mechanism, key genes, disease links, and research methods associated with GO:0035198, with all factual claims supported by the verified literature listed below.
miRNA binding At A Glance
| GO ID | GO:0035198 |
|---|---|
| GO term | miRNA binding |
| Ontology | molecular_function |
| Synonym | microRNA binding |
| Definition | Binding to a microRNA, a 21-23 nucleotide RNA that is processed from a stem-loop RNA precursor (pre-miRNA) that is encoded within plant and animal genomes. |
| Major function | Physical interaction with microRNA molecules, enabling target recognition, sorting, and regulation of miRNA activity. |
| RNA length | 21-23 nucleotides |
| Precursor | Stem-loop RNA precursor (pre-miRNA) |
| Taxonomic scope | Plant and animal genomes |
What Is GO:0035198?
miRNA binding (GO:0035198) is the molecular function of binding to a microRNA, which is a 21-23 nucleotide RNA processed from a stem-loop RNA precursor (pre-miRNA) encoded within plant and animal genomes. In practical terms, it describes the physical interaction between a protein or another RNA and a mature miRNA, without specifying the downstream consequence of that interaction.
Why Is miRNA binding Important in Cell Biology?
miRNA binding is important because it is the physical event that connects miRNAs to their regulatory partners and determines the fate and function of miRNAs in cells. RNA-binding proteins that bind miRNAs control miRNA sorting into exosomes, miRNA stability, and miRNA activity, particularly in neuronal and immune contexts. Host miRNA binding to viral RNA can directly influence virus multiplication, making this function relevant to infectious disease research. In addition, genetic variants in miRNA genes or miRNA-binding sites can alter binding and contribute to disease, which has driven the development of databases and prediction tools for miRNA-binding SNPs. Accurate prediction of miRNA binding sites requires understanding position-wise binding preferences, which is a major focus of computational biology. Thus, GO:0035198 sits at the intersection of RNA biology, computational genomics, and disease mechanism research.
• Defines the physical interaction between proteins or RNAs and mature miRNAs, a prerequisite for miRNA-mediated regulation.
• Underlies the sorting of miRNAs into exosomes through RNA-binding proteins such as hnRNPA2B1.
• Is essential for understanding how RNA-binding proteins regulate miRNA activity in neurons and other tissues.
• Influences virus multiplication through host miRNA binding to viral RNA.
• Provides a mechanistic basis for predicting the effects of SNPs in miRNA genes or miRNA-binding sites.
• Requires position-wise binding preference models for accurate target site prediction.
• Can be studied with deep-learning classifiers such as miRBind.
• Connects miRNA biogenesis and disease regulation in updated overviews of miRNA biology.
• Helps interpret how RNA-binding proteins participate in the broader miRNA pathway.
• Supports the development of RNA-based therapeutics and biomarkers that depend on miRNA binding events.
Molecular Mechanism of miRNA binding
Recognition of mature miRNA by RNA-binding proteins
In simple terms: Proteins grab onto mature miRNAs to control what they do.
miRNA binding begins when RNA-binding proteins recognize mature miRNAs, which are 21-23 nucleotide RNAs processed from stem-loop precursors. RNA-binding proteins in the miRNA pathway interact with miRNAs and their precursors to regulate miRNA processing, stability, and function. This recognition is sequence- and structure-dependent, and position-wise binding preferences influence how binding sites are selected. In neurons, specific RNA-binding proteins regulate miRNA activity through direct binding, highlighting the functional importance of this recognition step.
Sequence motifs and position-wise binding preferences
In simple terms: The exact sequence and position of bases in the miRNA or its target determine whether binding happens.
miRNA binding is not random; it depends on sequence motifs and position-wise preferences within the miRNA or its binding site. Computational studies have shown that the position of matches and mismatches strongly affects binding prediction accuracy, which is why position-wise binding preference models are important for miRNA target site prediction. Deep-learning methods such as miRBind have been developed to classify miRNA binding events using sequence information, further demonstrating the sequence-encoded nature of this function. These principles are also relevant to understanding how SNPs in miRNA genes or miRNA-binding sites alter binding and contribute to phenotypic variation.
Sorting of miRNAs into exosomes via specific motifs
In simple terms: Some proteins bind miRNAs and pack them into small vesicles for export from the cell.
A specialized example of miRNA binding is the sorting of miRNAs into exosomes, where sumoylated hnRNPA2B1 binds specific motifs in miRNAs and controls their packaging into exosomes. This binding event determines which miRNAs are secreted and which remain in the cell, linking miRNA binding to intercellular communication. The mechanism requires recognition of specific sequence motifs within the miRNA, reinforcing the idea that miRNA binding is a selective, motif-driven process. This function is distinct from miRNA-mediated silencing and represents a key regulatory node in miRNA biology.
Host miRNA binding to viral RNA and impact on virus multiplication
In simple terms: When host miRNAs bind to viral RNA, they can change how well the virus multiplies.
Host miRNAs can bind directly to RNA within RNA viruses, and this binding influences virus multiplication. This interaction represents a non-canonical form of miRNA binding in which the miRNA acts on viral RNA rather than on a host messenger RNA. The outcome depends on the specific miRNA, the viral sequence, and the cellular context, and can either promote or restrict viral replication. This example broadens the functional scope of GO:0035198 beyond classical host gene regulation and into host-pathogen interactions.
Regulation of miRNA activity by RNA-binding proteins
In simple terms: Other proteins can bind miRNAs and turn their activity up or down.
RNA-binding proteins regulate miRNA activity by binding to miRNAs or their precursors, thereby influencing miRNA stability, localization, and function. In neuronal systems, this regulation is critical for processes such as synaptic plasticity and neuronal survival. The broader miRNA pathway involves multiple RNA-binding proteins that coordinate miRNA biogenesis and function, and their binding to miRNAs is a key control point. Dysregulation of these interactions can contribute to disease, making this an active area of research.
Key Genes Involved in GO:0035198 miRNA binding
The following genes and proteins are experimentally implicated in miRNA binding or in the regulation of miRNA binding events, based on the verified literature.
| Gene | Major Role | Research Relevance |
|---|---|---|
| AGO2 | Core Argonaute protein that binds mature miRNAs and mediates target recognition | Central to miRNA binding and silencing; widely studied in RNAi research |
| HNRNPA2B1 | Binds specific miRNA motifs and controls sorting of miRNAs into exosomes | Key example of sequence-specific miRNA binding and exosomal sorting |
| DICER1 | Processes pre-miRNA into mature miRNA, enabling subsequent miRNA binding | Upstream of miRNA binding; relevant to miRNA biogenesis studies |
| DGCR8 | Microprocessor complex component involved in pri-miRNA processing | Affects availability of mature miRNAs for binding |
| XPO5 | Exports pre-miRNA from the nucleus, contributing to miRNA maturation | Indirectly influences miRNA binding by controlling mature miRNA levels |
| TNRC6A | GW182 family protein that interacts with Argonaute and miRNA targets | Links miRNA binding to downstream silencing complexes |
| TNRC6B | GW182 family protein involved in miRNA-mediated repression | Relevant to functional consequences of miRNA binding |
| TNRC6C | GW182 family protein involved in miRNA-mediated repression | Relevant to functional consequences of miRNA binding |
| MOV10 | RNA helicase associated with miRNA effector complexes | Modulates miRNA binding and activity |
| FMR1 | RNA-binding protein implicated in miRNA pathway regulation in neurons | Links miRNA binding to neuronal function |
| FXR1 | RNA-binding protein that can interact with miRNA machinery | Relevant to neuronal miRNA regulation |
| PUM1 | RNA-binding protein that can influence miRNA-mediated regulation | Studied in neuronal miRNA activity |
| PUM2 | RNA-binding protein that can influence miRNA-mediated regulation | Studied in neuronal miRNA activity |
| ELAVL1 | RNA-binding protein with roles in miRNA regulation | Relevant to post-transcriptional control |
| IGF2BP1 | RNA-binding protein that can affect miRNA targeting | Relevant to miRNA binding networks |
| LIN28A | RNA-binding protein that binds let-7 miRNA precursors | Classic example of miRNA binding and regulation |
| LIN28B | RNA-binding protein that binds let-7 miRNA precursors | Classic example of miRNA binding and regulation |
How Is miRNA binding Regulated?
miRNA binding is regulated at multiple levels. RNA-binding proteins can compete with or enhance the binding of miRNAs to their targets, thereby modulating miRNA activity. Sumoylation of hnRNPA2B1 controls its ability to bind specific miRNA motifs and sort miRNAs into exosomes, showing that post-translational modifications regulate miRNA binding. The availability of mature miRNAs, determined by biogenesis factors such as DICER1 and DGCR8, also indirectly regulates miRNA binding events. In addition, sequence variants in miRNA genes or miRNA-binding sites can alter binding affinity and are a focus of database and prediction studies. Position-wise binding preferences further shape which sites are bound under physiological conditions.
miRNA binding and Human Disease
| Gene | Disease / Biology | Potential Experimental Model |
|---|---|---|
| HNRNPA2B1 | Cancer and exosomal miRNA sorting | Knockout and point-mutation models to test motif binding |
| AGO2 | Cancer and miRNA-mediated silencing | Knockout and tagged knock-in for binding assays |
| FMR1 | Neurological disorders and neuronal miRNA regulation | Knockout and overexpression models in neuronal cells |
| LIN28A | Cancer and let-7 regulation | Knock-in and overexpression models |
| LIN28B | Cancer and let-7 regulation | Knock-in and overexpression models |
miRNA binding in cancer
Dysregulated miRNA binding can contribute to cancer by altering the availability of tumor-suppressive or oncogenic miRNAs and their targets. RNA-binding proteins that control miRNA sorting and activity, such as hnRNPA2B1, have been implicated in cancer-related exosomal miRNA secretion. Variants in miRNA-binding sites can disrupt normal regulation and are studied as potential cancer risk modifiers. Computational prediction of miRNA binding sites is therefore important for interpreting cancer genomics data.
miRNA binding in neurological disorders
In neurons, RNA-binding proteins regulate miRNA activity through direct binding, and disruption of these interactions can affect neuronal function and survival. Proteins such as FMR1 and other neuronal RBPs participate in miRNA-related regulatory networks, linking miRNA binding to neurodevelopmental and neurodegenerative conditions. The broader miRNA pathway, including biogenesis and binding, is increasingly recognized as a contributor to neurological disease mechanisms.
miRNA binding in infectious disease
Host miRNAs can bind directly to RNA within RNA viruses, and this binding influences virus multiplication. This interaction can either promote or restrict viral replication depending on the specific miRNA and virus. Understanding host miRNA binding to viral RNA may inform antiviral strategies and vaccine development.
From miRNA binding-Related Genes to Experimental Models
| Research Question | Suitable Model |
|---|---|
| Does loss of a candidate RBP abolish miRNA binding? | CRISPR knockout cell line followed by miRNA pull-down |
| Does a specific motif in hnRNPA2B1 mediate miRNA sorting? | Point-mutation knock-in of the motif |
| Does a disease-associated SNP in a miRNA-binding site alter binding? | Knock-in of the SNP allele and binding assay |
| Where does a candidate RBP bind miRNAs in cells? | Tagged knock-in with affinity purification |
| Does overexpression of a miRNA-binding protein change miRNA activity? | Overexpression cell model with miRNA reporter |
| Can deep-learning models predict miRNA binding from sequence? | Computational model trained on binding data |
How to Study the miRNA binding Process
| Method | What It Measures | Typical Application |
|---|---|---|
| miRNA pull-down + mass spectrometry | Proteins bound to a specific miRNA | Discovery of miRNA-binding proteins |
| CLIP-seq | Direct RNA-protein binding sites | Mapping miRNA binding sites transcriptome-wide |
| Luciferase reporter assay | Functional effect of miRNA binding | Validation of predicted binding sites |
| Deep-learning classifier (miRBind) | Probability of miRNA binding from sequence | Large-scale binding prediction |
| SNP database analysis | Variants in miRNA genes or binding sites | Variant interpretation |
| Single-molecule imaging | Binding kinetics and localization | Live-cell miRNA binding studies |
| Exosome isolation + miRNA profiling | miRNAs sorted via binding motifs | Exosomal miRNA sorting studies |
| Position-wise binding model | Binding preference by position | Improved target site prediction |
miRNA pull-down and mass spectrometry
miRNA pull-down followed by mass spectrometry can identify proteins that bind a specific miRNA, directly assaying GO:0035198. This approach has been used to discover RNA-binding proteins in the miRNA pathway and to map their interactions. Combining pull-down with quantitative proteomics allows comparison of binding between wild-type and mutant cells.
Computational prediction of miRNA binding sites
Position-wise binding preference models improve the accuracy of miRNA target site prediction by considering the position of matches and mismatches. Deep-learning methods such as miRBind classify miRNA binding events from sequence data. Databases that catalog SNPs in miRNA genes or miRNA-binding sites support variant interpretation and functional follow-up.
Reporter assays for miRNA binding and activity
Luciferase or fluorescent reporters containing miRNA-binding sites are widely used to measure the functional consequence of miRNA binding. These assays can be combined with CRISPR knockout or point-mutation models to test the role of specific proteins or motifs. Reporter assays are also used to validate predicted binding sites from computational analyses.
Imaging and single-molecule approaches
Single-molecule imaging can visualize miRNA binding events in live cells and reveal binding kinetics. These methods complement biochemical pull-down assays by providing spatial and temporal information about miRNA binding. Imaging is particularly useful in neuronal models where miRNA binding regulates local translation.
How CRISPR Can Be Used to Study GO:0035198 miRNA binding
Knockout
CRISPR knockout of genes encoding miRNA-binding proteins, such as HNRNPA2B1 or AGO2, can abolish specific miRNA binding events and reveal their functional consequences. Knockout cell lines are useful for comparing miRNA pull-down profiles between wild-type and mutant conditions. This approach helps establish causality between a candidate gene and miRNA binding.
Point Mutation
Point-mutation knock-in can be used to disrupt specific miRNA-binding motifs, such as those recognized by hnRNPA2B1, without deleting the entire protein. This allows precise testing of whether a single motif is required for miRNA binding and sorting. Point mutations in miRNA-binding sites can also model disease-associated SNPs.
Knock-in
Tagged knock-in of miRNA-binding proteins enables affinity purification and localization studies under endogenous expression levels. Knock-in of disease-associated variants in miRNA genes or binding sites can model their effects on binding. These models are valuable for validating computational predictions of miRNA binding.
Overexpression
Overexpression of miRNA-binding proteins or miRNAs can amplify binding signals for biochemical assays and reporters. This approach is useful for studying how increased binding affects miRNA activity and downstream pathways. Overexpression models can also be used to test whether a candidate protein is sufficient to drive miRNA sorting.
How EDITGENE Supports miRNA binding Research
Researchers studying miRNA binding-related genes often need to determine whether a candidate gene is causally involved in miRNA binding, sorting, or activity. CRISPR-based models provide a direct way to test these hypotheses by deleting, mutating, tagging, or overexpressing the genes and motifs of interest.
Contact EDITGENE today to design your custom CRISPR model for miRNA binding research.
Frequently Asked Questions About miRNA binding
What is miRNA binding?
miRNA binding (GO:0035198) is the molecular function of binding to a microRNA, a 21-23 nucleotide RNA processed from a stem-loop precursor encoded in plant and animal genomes.
What genes are involved in miRNA binding?
Genes such as AGO2, HNRNPA2B1, DICER1, DGCR8, and LIN28A are involved in miRNA binding or its regulation.
What is the GO ID for miRNA binding?
The GO ID for miRNA binding is GO:0035198.
How is miRNA binding regulated?
miRNA binding is regulated by RNA-binding proteins, post-translational modifications such as sumoylation of hnRNPA2B1, and the availability of mature miRNAs.
What diseases are linked to miRNA binding?
miRNA binding has been linked to cancer, neurological disorders, and infectious diseases through dysregulated miRNA activity and host-virus interactions.
How can I study miRNA binding in the lab?
Common methods include miRNA pull-down with mass spectrometry, CLIP-seq, luciferase reporter assays, and deep-learning prediction tools such as miRBind.
What is the role of hnRNPA2B1 in miRNA binding?
Sumoylated hnRNPA2B1 binds specific miRNA motifs and controls the sorting of miRNAs into exosomes.
Can SNPs affect miRNA binding?
Yes, SNPs in miRNA genes or miRNA-binding sites can alter binding, and databases have been developed to predict their effects.
Why is position-wise binding preference important?
Position-wise binding preference improves the accuracy of miRNA target site prediction because the position of matches and mismatches affects binding.
How does host miRNA binding affect viruses?
Host miRNA binding to RNA within RNA viruses can influence virus multiplication, either promoting or restricting replication.
Conclusion
GO:0035198 miRNA binding is a molecular function that captures the physical interaction between proteins or RNAs and mature miRNAs. It is central to miRNA sorting, activity regulation, and host-pathogen interactions, and it is increasingly studied with computational and CRISPR-based methods. Understanding miRNA binding has broad implications for cancer, neurological disorders, and infectious disease research. CRISPR models and bioinformatics tools now make it feasible to test the causal role of specific genes and motifs in miRNA binding.
References
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- 2. Lei L et al.. 2022. The Influence of Host miRNA Binding to RNA Within RNA Viruses on Virus Multiplication.. Front Cell Infect Microbiol 12:802149 PMID: 35531344
- 3. Connerty P et al.. 2015. RNA Binding Proteins in the miRNA Pathway.. Int J Mol Sci 17(1) PMID: 26712751
- 4. Fehlmann T et al.. 2019. A review of databases predicting the effects of SNPs in miRNA genes or miRNA-binding sites.. Brief Bioinform 20(3):1011-1020 PMID: 29186316
- 5. Talukder A et al.. 2020. Position-wise binding preference is important for miRNA target site prediction.. Bioinformatics 36(12):3680-3686 PMID: 32186709
- 6. Loffreda A et al.. 2015. RNA-Binding Proteins in the Regulation of miRNA Activity: A Focus on Neuronal Functions.. Biomolecules 5(4):2363-87 PMID: 26437437
- 7. Klimentová E et al.. 2022. miRBind: A Deep Learning Method for miRNA Binding Classification.. Genes (Basel) 13(12) PMID: 36553590
- 8. Villarroya-Beltri C et al.. 2013. Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs.. Nat Commun 4:2980 PMID: 24356509
