Cited by 225MicroRNA in disease regulationRNA Interference and Gene DeliveryPlant Molecular Biology Research

The DOI matches its Crossref record; 200 of the 200 references it cites were found in a registry or an index; 97 of the 139 sources its claims cite were checked for support.

microRNA strand selection: Unwinding the rules

Open access

Abstract

microRNAs (miRNAs) play a central role in the regulation of gene expression by targeting specific mRNAs for degradation or translational repression. Each miRNA is post‐transcriptionally processed into a duplex comprising two strands. One of the two miRNA strands is selectively loaded into an Argonaute protein to form the miRNA‐Induced Silencing Complex (miRISC) in a process referred to as miRNA strand selection. The other strand is ejected from the complex and is subject to degradation. The target gene specificity of miRISC is determined by sequence complementarity between the Argonaute‐loaded miRNA strand and target mRNA. Each strand of the miRNA duplex has the capacity to be loaded into miRISC and possesses a unique seed sequence. Therefore, miRNA strand selection plays a defining role in dictating the specificity of miRISC toward its targets and provides a mechanism to alter gene expression in a switch‐like fashion. Aberrant strand selection can lead to altered gene regulation by miRISC and is observed in several human diseases including cancer. Previous and emerging data shape the rules governing miRNA strand selection and shed light on how these rules can be circumvented in various physiological and pathological contexts. This article is categorized under: RNA Processing > Processing of Small RNAs Regulatory RNAs/RNAi/Riboswitches > Regulatory RNAs Regulatory RNAs/RNAi/Riboswitches > Biogenesis of Effector Small RNAs

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This review synthesizes how miRNA strand selection is governed mainly by 5′ nucleotide identity and the relative thermodynamic stability of miRNA duplex ends, and how these rules can be circumvented. It compiles miRBase data showing that many miRNAs deviate from these rules and discusses isomiRs, RNA modifications, Argonaute mutations, and disease-associated arm switching.

Key findings

  • miRNA strand selection is primarily driven by two duplex-intrinsic features: the 5′ nucleotide of each strand, with a preference of U > A > C > G, and the relative thermodynamic stability of the two duplex ends. Human Ago2 MID domain binds UMP twice as strongly as AMP and approximately 30 times more strongly than CMP or GMP; guide strands commonly begin with U, passenger strands often with C.
  • In the authors’ miRBase analysis, about half of miRNAs in each organism did not follow one of the two rules, and 17–25% did not follow either the 5′ nucleotide preference or thermodynamic stability rule: *C. elegans* (n = 189), *Drosophila* (n = 219), and humans (n = 832).
  • Argonaute contributes directly to strand selection: in *C. elegans*, single amino acid substitutions in ALG-1 MID (G553R) and PIWI (G716E, S895F, S939F) domains reverse strand selection for certain miRNAs, but not all, and these mutations are not located within the guide RNA-binding pocket.
  • Strand selection can be regulated by templated and nontemplated isomiRs, uridylation, A-to-I editing, and altered Dicer/TRBP processing; altered strand usage is associated with diseases including BRCA1/BAP1-deficient cancers with high miR-223* (5p), squamous cell carcinoma with both miR-21 and miR-21*, and atrial fibrillation with a miR-133 U–C point mutation.

Methods

  • Narrative review of miRNA biogenesis, miRISC loading, strand selection mechanisms, regulation, and disease associations.
  • For the original analysis, miRNA sequences and abundances were obtained from miRBase Release 22.1 for *C. elegans* (n = 189), *Drosophila melanogaster* (n = 219), and humans (n = 832); duplexes were assembled from the most abundant 5p and 3p reads using RNAduplex from ViennaRNA package v2.4.14, excluding extremely low-abundance miRNAs and those with ambiguous arm preference.
  • Rule violations were defined as: passenger 5′ nucleotide equal to or more preferred than the guide 5′ nucleotide (preference U > A > C > G), or guide-end thermodynamic stability equal to or higher than passenger-end stability, using the terminal four base pairs and ΔΔG = Δguide − Δpassenger.

Limitations

  • The paper states that much of the data used to formulate the rules of miRNA strand selection came from in vitro experiments, and how well these rules hold in a living organism throughout its lifespan is yet to be established.
  • The paper states that its miRBase analysis uses the most highly expressed 5p and 3p strands without considering isomiRs, assumes the most abundant 5p and 3p reads originate from the same duplex, cannot exclude that they originate from distinct duplexes, and notes that miRBase annotations or abundances may not accurately reflect tissue-dependent miRNA expression.
  • Evident from the text: as a review, it reports no new experimental validation of strand selection in vivo; disease and regulatory mechanisms are largely based on cited studies, and Table 1 contains missing or not-assessed entries that limit quantitative synthesis.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1002/wrna.1627

Cites

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Statistics

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Figures

FIGURE 1 Overview of miRNA biogenesis. (1) Genomically‐encoded miRNAs are transcribed within the nucleus and form a stem‐loop structure that is (2) processed by the Microprocessor complex comprising Drosha and DGCR8/Pasha. (3) The processed miRNA is then transferred to the cytoplasm through Exportin‐5 (XPO5). (4) The stem‐loop precursor miRNA is processed again by Dicer to remove the loop, and the miRNA duplex is loaded into an Argonaute protein. (5) The guide strand of the miRNA duplex is selected for loading into Argonaute to form the miRNA‐induced silencing complex (miRISC), while (5′) the other passenger strand is ejected from the Argonaute and degraded. (6) The miRISC targets mRNAs for silencing based on the seed sequence of the loaded miRNA guide strand
FIGURE 1 Overview of miRNA biogenesis. (1) Genomically‐encoded miRNAs are transcribed within the nucleus and form a stem‐loop structure that is (2) processed by the Microprocessor complex comprising Drosha and DGCR8/Pasha. (3) The processed miRNA is then transferred to the cytoplasm through Exportin‐5 (XPO5). (4) The stem‐loop precursor miRNA is processed again by Dicer to remove the loop, and the miRNA duplex is loaded into an Argonaute protein. (5) The guide strand of the miRNA duplex is selected for loading into Argonaute to form the miRNA‐induced silencing complex (miRISC), while (5′) the other passenger strand is ejected from the Argonaute and degraded. (6) The miRISC targets mRNAs for silencing based on the seed sequence of the loaded miRNA guide strandCC BY · PubMed Central
FIGURE 2 miRISC loading and miRNA strand selection. (a) Schematic representation of Argonaute domains and their relative contributions to miRNA duplex binding and strand selection. The 5′ end of the miRNA guide strand is anchored into a 5′ nucleotide binding pocket (5′NBP) located within the MID domain of Argonaute, which prefers to bind miRNA strands with Uracil at their 5′ ends. The interface of the MID and PIWI domains form a tract that senses the relative TS of each duplex end. The 3′ end of the miRNA guide strand associates with the PAZ domain of Argonaute (modeled after Gerbert and MacRae, 2018). (b) Consequences of miRNA strand selection. (top) The miR strand targets specific mRNAs based on sequence complementarity of the miRNA seed (nucleotides 2–7) to the 3′UTR of target mRNAs. (bottom) As miR* strands contain different seed sequences that their corresponding miR strands, they are expected to target a different set of mRNAs if they are loaded into miRISC. (c) Features associated with guide (miR) and passenger (miR*) strands. In general, the 5′ ends of miRNA guide strands tend to start with Uracil and be situated on the end of the miRNA duplex with lower thermodynamic stability, whereas passenger strands are located on the end of the miRNA duplex with higher thermodynamic stability and tend to start with less favorable nucleotides such as Cytosine (Modeled after Meijer, Smith, & Bushell, 2014)
FIGURE 2 miRISC loading and miRNA strand selection. (a) Schematic representation of Argonaute domains and their relative contributions to miRNA duplex binding and strand selection. The 5′ end of the miRNA guide strand is anchored into a 5′ nucleotide binding pocket (5′NBP) located within the MID domain of Argonaute, which prefers to bind miRNA strands with Uracil at their 5′ ends. The interface of the MID and PIWI domains form a tract that senses the relative TS of each duplex end. The 3′ end of the miRNA guide strand associates with the PAZ domain of Argonaute (modeled after Gerbert and MacRae, 2018). (b) Consequences of miRNA strand selection. (top) The miR strand targets specific mRNAs based on sequence complementarity of the miRNA seed (nucleotides 2–7) to the 3′UTR of target mRNAs. (bottom) As miR* strands contain different seed sequences that their corresponding miR strands, they are expected to target a different set of mRNAs if they are loaded into miRISC. (c) Features associated with guide (miR) and passenger (miR*) strands. In general, the 5′ ends of miRNA guide strands tend to start with Uracil and be situated on the end of the miRNA duplex with lower thermodynamic stability, whereas passenger strands are located on the end of the miRNA duplex with higher thermodynamic stability and tend to start with less favorable nucleotides such as Cytosine (Modeled after Meijer, Smith, & Bushell, 2014)CC BY · PubMed Central
FIGURE 3 Not all miRNAs follow the rules. Shown are the percentages of miRNAs that do not follow the 5′ nucleotide selection rule, thermodynamic duplex‐end stability rule, or either rule in (a) Caenorhabditis elegans (n = 189 miRNAs), (b) Drosophila melanogaster (n = 219), and (c) humans (n = 832). miRNA sequences were obtained from miRBase (Release 22.1) and analyzed for duplex formation using RNAduplex (ViennaRNA package v2.4.14) with default parameters. The RNA secondary structure represented in dot‐matrix format was first examined for unpaired, overhanging bases at each duplex end. To determine duplex‐end stabilities, four terminal base pairs at each duplex end were loaded into RNAduplex for terminal minimum free energy (MFE) calculation. ΔΔG for duplex ends was calculated as follows: ΔΔG = Δguide − Δpassenger, where Δguide was the four base‐pair MFE value for the 5′ end of the guide miRNA and Δpassenger was the four base‐pair MFE for the 5′ end of the miRNA*. miRNAs were not considered to follow the 5′ nucleotide selection rule if the 5′ nucleotide of the passenger strand was identical to or more favorable than the 5′ nucleotide of the guide strand. The preferred 5′ nucleotide was defined as U > A > C > G (Frank et al., 2010). miRNAs with equal or higher thermodynamic stability on the guide end of the duplex compared to the passenger end of the duplex were not considered to follow the thermodynamic stability rule. (d) miRNA reads observed in small RNAseq experiments (“Strand abundance”) are thought to originate from the same duplex. (e) Hypothetically, for any given miRNA, miRNA reads observed in small RNAseq experiments may originate from distinct duplexes generated through alternative processing
FIGURE 3 Not all miRNAs follow the rules. Shown are the percentages of miRNAs that do not follow the 5′ nucleotide selection rule, thermodynamic duplex‐end stability rule, or either rule in (a) Caenorhabditis elegans (n = 189 miRNAs), (b) Drosophila melanogaster (n = 219), and (c) humans (n = 832). miRNA sequences were obtained from miRBase (Release 22.1) and analyzed for duplex formation using RNAduplex (ViennaRNA package v2.4.14) with default parameters. The RNA secondary structure represented in dot‐matrix format was first examined for unpaired, overhanging bases at each duplex end. To determine duplex‐end stabilities, four terminal base pairs at each duplex end were loaded into RNAduplex for terminal minimum free energy (MFE) calculation. ΔΔG for duplex ends was calculated as follows: ΔΔG = Δguide − Δpassenger, where Δguide was the four base‐pair MFE value for the 5′ end of the guide miRNA and Δpassenger was the four base‐pair MFE for the 5′ end of the miRNA*. miRNAs were not considered to follow the 5′ nucleotide selection rule if the 5′ nucleotide of the passenger strand was identical to or more favorable than the 5′ nucleotide of the guide strand. The preferred 5′ nucleotide was defined as U > A > C > G (Frank et al., 2010). miRNAs with equal or higher thermodynamic stability on the guide end of the duplex compared to the passenger end of the duplex were not considered to follow the thermodynamic stability rule. (d) miRNA reads observed in small RNAseq experiments (“Strand abundance”) are thought to originate from the same duplex. (e) Hypothetically, for any given miRNA, miRNA reads observed in small RNAseq experiments may originate from distinct duplexes generated through alternative processingCC BY · PubMed Central
FIGURE 4 Regulation of miRNA strand selection. (a) Sequential processing of miRNAs by the Microprocessor complex (top) and Dicer (bottom) generates a miRNA duplex. (b) Altered miRNA processing leads to the production of templated isomiRs and may have changes in 5′ nucleotide identity or relative duplex‐end stabilities. C. elegans miR‐51 isomiRs are shown as an example. (c) Contribution of uridylation to strand selection of miR‐324 (Kim et al., 2020). In wild‐type tissues expressing low levels of terminal 3′ uridylases (TUTases), nonuridylated miR‐324‐5p is selected for miRISC loading. In Glioblastoma, high expression of TUTases leads to uridylation of miR‐324‐3p, altered Dicer specificity and reversed strand selection toward miR‐324‐5p. (d) Contribution of TRBP to miRNA strand selection. TRBP is proposed to maintain the fidelity of Dicer processing (Lee & Doudna, 2012). In the absence of TRBP, Dicer generates isomiRs, which may lead to altered duplex characteristics that influence strand selection
FIGURE 4 Regulation of miRNA strand selection. (a) Sequential processing of miRNAs by the Microprocessor complex (top) and Dicer (bottom) generates a miRNA duplex. (b) Altered miRNA processing leads to the production of templated isomiRs and may have changes in 5′ nucleotide identity or relative duplex‐end stabilities. C. elegans miR‐51 isomiRs are shown as an example. (c) Contribution of uridylation to strand selection of miR‐324 (Kim et al., 2020). In wild‐type tissues expressing low levels of terminal 3′ uridylases (TUTases), nonuridylated miR‐324‐5p is selected for miRISC loading. In Glioblastoma, high expression of TUTases leads to uridylation of miR‐324‐3p, altered Dicer specificity and reversed strand selection toward miR‐324‐5p. (d) Contribution of TRBP to miRNA strand selection. TRBP is proposed to maintain the fidelity of Dicer processing (Lee & Doudna, 2012). In the absence of TRBP, Dicer generates isomiRs, which may lead to altered duplex characteristics that influence strand selectionCC BY · PubMed Central
FIGURE 5 Potential mechanisms influencing miRNA 5p/3p arm ratios. The two mechanisms that may affect the relative abundance of miRNA arms are strand selection and miRNA turnover. We propose that strand selection is likely the dominant mechanism leading to altered arm ratios, as miRNA turnover would be expected to influence miRNA arm ratios after a dominant miRNA strand is selected. Mechanisms influencing the production of isomiRs (highlighted in bold) have been experimentally demonstrated to influence 5p/3p ratios of miRNAs and can lead to miRNA arm switching, whereas other mechanisms remain largely hypothetical
FIGURE 5 Potential mechanisms influencing miRNA 5p/3p arm ratios. The two mechanisms that may affect the relative abundance of miRNA arms are strand selection and miRNA turnover. We propose that strand selection is likely the dominant mechanism leading to altered arm ratios, as miRNA turnover would be expected to influence miRNA arm ratios after a dominant miRNA strand is selected. Mechanisms influencing the production of isomiRs (highlighted in bold) have been experimentally demonstrated to influence 5p/3p ratios of miRNAs and can lead to miRNA arm switching, whereas other mechanisms remain largely hypotheticalCC BY · PubMed Central
FIGURE 6 Examples of dysregulated miRNA strand selection in human disease. (a) Under wild‐type conditions, the miRNA guide strand is selected and loaded into miRISC in a preferential fashion. As the passenger strand is degraded, mRNAs matching the seed of the miR* strand are maintained in an active state whereas seed‐matched targets of guide‐loaded miRISC are repressed. (b) In BRCA1‐BAP1 deficient breast cancer cells, which cannot perform homologous recombination, miR‐223 arm switching leads to down‐regulation of miR‐223* targets and expression of miR‐233 mRNA targets (Srinivasan et al., 2019). (c) In squamous cell carcinoma (SCC), miR‐21* is upregulated and both miR‐21 and miR‐21* are loaded into miRISC and independently repress mRNAs that contribute to SCC pathogenesis (Ge et al., 2016). (d) A point mutation in miR‐133 (U‐C) associated with human atrial fibrillation alters the relative thermodynamic stability of the miR‐133 duplex ends and leads to selection of miR‐133* (Ohanian, Humphreys, Anderson, Preiss, & Fatkin, 2013). Presumably, altered mRNA target specificity by miR‐133* contributes to atrial fibrillation associated with this variation
FIGURE 6 Examples of dysregulated miRNA strand selection in human disease. (a) Under wild‐type conditions, the miRNA guide strand is selected and loaded into miRISC in a preferential fashion. As the passenger strand is degraded, mRNAs matching the seed of the miR* strand are maintained in an active state whereas seed‐matched targets of guide‐loaded miRISC are repressed. (b) In BRCA1‐BAP1 deficient breast cancer cells, which cannot perform homologous recombination, miR‐223 arm switching leads to down‐regulation of miR‐223* targets and expression of miR‐233 mRNA targets (Srinivasan et al., 2019). (c) In squamous cell carcinoma (SCC), miR‐21* is upregulated and both miR‐21 and miR‐21* are loaded into miRISC and independently repress mRNAs that contribute to SCC pathogenesis (Ge et al., 2016). (d) A point mutation in miR‐133 (U‐C) associated with human atrial fibrillation alters the relative thermodynamic stability of the miR‐133 duplex ends and leads to selection of miR‐133* (Ohanian, Humphreys, Anderson, Preiss, & Fatkin, 2013). Presumably, altered mRNA target specificity by miR‐133* contributes to atrial fibrillation associated with this variationCC BY · PubMed Central
FIGURE 7 Summary of miRNA strand selection and regulatory mechanisms. Three major points of regulation for miRNA strand selection (1) altered miRNA processing by the Microprocessor complex (not shown) or Dicer, (2) remodeling of the miRNA duplex by nontemplated RNA modifications such as uridylation or A‐to‐I editing, and (3) changes in the strand preference of Argonaute. Once presented with a miRNA duplex, Argonaute makes a binary choice to load one miRNA strand and discard the other strand from miRISC. Alternate Argonaute programming leads to shifts in the target profile of miRISC based on the seed sequence of the loaded strand and is sometimes associated with human diseases
FIGURE 7 Summary of miRNA strand selection and regulatory mechanisms. Three major points of regulation for miRNA strand selection (1) altered miRNA processing by the Microprocessor complex (not shown) or Dicer, (2) remodeling of the miRNA duplex by nontemplated RNA modifications such as uridylation or A‐to‐I editing, and (3) changes in the strand preference of Argonaute. Once presented with a miRNA duplex, Argonaute makes a binary choice to load one miRNA strand and discard the other strand from miRISC. Alternate Argonaute programming leads to shifts in the target profile of miRISC based on the seed sequence of the loaded strand and is sometimes associated with human diseasesCC BY · PubMed Central

Verification

Claims the paper makes

39 Own interpretation · 35 Supported · 28 Partly supported · 12 No basis given · 9 Sources not found · 8 No full text of the sources · 7 Not checked yet · 5 Supported so far · 3 Own result · 1 Not supported · 1 Couldn’t confirm · 1 Own method · accuracy not yet measured

Verify all 2 references — free account
  • It may state two separate claims as one. 58
  • Probably not a substantial claim. 28
76 of 76
  • The authors state this as an assumption.

    The most abundant 5p and 3p miRNA strands originate from the same duplex.

    “However, this analysis carries an assumption that the most abundant 5p and 3p miRNA strands originate from the same duplex (Figure 3d).”
  • The paper relies on this without support.

    The same miRNA precursor can produce distinct miRNA isoforms, collectively known as isomiRs.

    “The same miRNA precursor can produce distinct miRNA isoforms, collectively known as isomiRs.”
  • The paper relies on this without support.

    miRNA processing by Drosha or Dicer at alternate cut sites results in isomiRs that match the genomically encoded pre-miRNA sequence and are referred to as templated isomiRs.

    “miRNA processing by Drosha or Dicer at alternate cut sites results in isomiRs that match the genomically‐encoded pre‐miRNA sequence and are referred to as “templated isomiRs” (Figure 4a,b).”
  • The paper relies on this without support.

    Most miRNA duplexes contain two nucleotide overhangs at their 3′ ends.

    “Furthermore, most miRNA duplexes contain two nucleotide overhangs at their 3′ ends.”
  • The paper relies on this without support.

    Under wild-type conditions, most miRNAs have a dominantly expressed miRNA strand.

    “While under wild‐type conditions, most miRNAs have a dominantly expressed miRNA strand (Figure 6a)”
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Research works printed but not linked: 1

  1. Ma D. L., 2016, Influence of continuous intervention on growth and metastasis of human cervical cancer cells and expression of RNAmiR‐574‐5p, Journal of Biological Regulators and Homeostatic Agents, 30, 91

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Metadata

Authors
Medley, J. C., Panzade, G., & Zinovyeva, A. Y.
Affiliations
Kansas State University (US)
Corresponding author
Zinovyeva, Anna Y.
Venue
WIREs RNA
Publisher
Wiley
Published
2020-09-20
Volume
12
Issue
3
Pages
e1627-e1627
ISSN
  • 1757-7004 (ISSN-L)
  • 1757-7012
OpenAlex
W3087056556
Cited by
225
References
200
Citations by year
2026: 31 · 2025: 52 · 2024: 53 · 2023: 36 · 2022: 33 · 2021: 18 · 2020: 2
FWCI
2.14
Type
journal article
Language
en
Open access
Locations
  • Wiley Interdisciplinary Reviews - RNA (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
Funders
National Institute of General Medical Sciences (R35GM124828)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
Keywords
Argonaute proteins, miRNA-induced silencing complex, seed sequence, post-transcriptional regulation, microRNA biogenesis, target specificity, cancer, small regulatory RNAs
MeSH terms
Humans, RNA Processing, Post-Transcriptional, RNA, Messenger, RNA Interference, MicroRNAs, Argonaute Proteins

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