The DOI matches its Crossref record; 200 of the 200 references it cites were found in a registry or an index; 96 of the 139 sources its claims cite were checked for support.
microRNA strand selection: Unwinding the rules
Open accessAbstract
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
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Cites
Statistics
Verification
Claims the paper makes
96 of 139 cited sources checked · 58 supported · 1 flagged · accuracy not yet measured
Every source the paper cites for this claim was checked and supports it.
In the paper
“However, in some cases, both arms of the duplex give rise to functional mature miRNAs that are loaded into Argonaute proteins to regulate gene expression (Ghildiyal, Xu, Seitz, Weng, & Zamore, 2009; Okamura, Liu, & Lai, 2009).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
What the sources say
- Supportedcites Ghildiyal, Xu, Seitz, Weng, & Zamore, 2009 source
In “Sorting combines structure and sequence information,” the paper says that some pre-miRNAs produce functional small RNAs from both arms. It reports that the two strands load into distinct Argonaute proteins and suggests that Ago2-loaded miRNA* strands regulate target RNAs. (LLM, conf=0.90)
- Supportedcites Okamura, Liu, & Lai, 2009 source
The Results section on AGO2-loaded miRNA* species reports that both strands of miR-276a are active in S2 cells, as shown by their effects on cognate target reporters. The Results also report preferential loading of mature and star strands into different Argonaute complexes. The demonstrated target regulation is in reporter assays. (LLM, conf=0.91)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Obvious miRNA duplex‐intrinsic factors, such as 5′ nt identity or end stability, were not able to distinguish the strand switching‐miRNAs from miRNAs resistant to ALG‐1 mutations (Zinovyeva et al., 2015).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Zinovyeva et al., 2015 source
The section on microRNAs with grossly abnormal miR* loading reports that class I microRNAs had no 5′ nucleotide bias and that duplex and end energies did not distinguish them from the other classes. It also says that 5′ pairing and seed-energy differences did not explain or distinguish their loading patterns. (LLM, conf=0.93)
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Furthermore, the phosphate moiety of the 5′ nucleotide of the guide strand, but not the passenger strand, is required for miRISC loading of the miRNA guide strand in fly embryonic lysates (Kawamata, Yoda, & Tomari, 2011).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Kawamata, Yoda, & Tomari, 2011 source
The Results and Discussion section ('RISC loading requires 5′ phosphate of the guide') concludes that the guide-strand 5′ phosphate is required for RISC loading, while the passenger-strand phosphate is dispensable. The same section identifies the assay material as overnight embryo lysate from flies. (LLM, conf=0.95)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Consistently, in C. elegans, single amino acid substitutions within the MID (G553R) and PIWI (G716E, S895F, and S939F) domains of the miRNA Argonaute ALG‐1 (Argonaute‐like Gene) reverse the strand selection of certain miRNAs (Zinovyeva, Bouasker, Simard, Hammell, & Ambros, 2014; Zinovyeva, Veksler‐Lublinsky, Vashisht, Wohlschlegel, & Ambros, 2015).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Zinovyeva et al., 2014 sourceExperimental — accuracy not yet measured
The Results sections on alg-1 missense mutations and pre-microRNA processing describe four ALG-1 substitutions and locate affected residues in Argonaute domains. But the paper does not report that these substitutions reverse strand selection for any miRNA; its RNA-duplex experiments instead test loading and passenger-strand cleavage. Thus it supports the mutations, not the attributed strand-selection effect. (LLM, conf=0.84)
- Partly supportedcites Zinovyeva et al., 2015 sourceExperimental — accuracy not yet measured
The Results report that ALG-1(ma192) and ALG-1(ma202) affect the PIWI and MID domains, respectively. The strand-selection analysis reports that miR-2* can be loaded into mutant ALG-1 in the guide-strand configuration, supporting altered strand choice for some miRNAs. Our copy does not identify these mutants by the four specified amino acid substitutions or establish strand-selection reversal for each substitution. (LLM, conf=0.84)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Additional modifications that modify the ribose sugar group or substitution modifications to the 2′ hydroxyl group of the ribose can also affect TS of the siRNA duplex and influence strand selection.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Bramsen et al., 2009 source
The Results (page unavailable) identify both 2′-substituted RNAs and modifications of the ribose sugar ring among the chemistries tested. In “Destabilization of SS 3′-ends enhances silencing efficiency” (page unavailable), the paper reports that these modifications can stabilize or destabilize the duplex and that changes to its thermodynamic profile can favor incorporation of one strand into RISC. (LLM, conf=0.91)
- Not matchedcites Bramsen & Kjems, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Ui-Tei et al., 2012 sourceExperimental — accuracy not yet measured
In “Thermodynamic Control of RNA Strand Incorporation into the RISC by Chemical Modifications” (page unavailable), the paper says duplex thermodynamics affect guide-strand selection; Table 2 specifically reports that the ribose modification 4′-thioribonucleoside increases stability and enhances selective guide-strand loading. The paper discusses 2′-O-methyl and 2′-deoxy modifications in relation to off-target effects and seed-region stability, but does not establish that those 2′-hydroxyl substitutions affect siRNA duplex stability and strand selection. (LLM, conf=0.85)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“miR‐144* (5p) expression is down‐regulated in nonsmall cell lung cancer (NSCLC) (Song et al., 2018), (Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Song et al., 2018 source
Results §3.1 reports significantly lower miR-144-5p expression in NSCLC adenocarcinoma and squamous-cell carcinoma specimens than in normal lung tissue, and lower expression in NSCLC cell lines than in normal airway epithelial cells. The Discussion likewise states that miR-144-5p was downregulated in NSCLC specimens and cell lines. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In particular, chemical modifications that affect the 5′ end stability of the siRNA duplex can affect the relative TS of each end and lead to a reversal in siRNA strand selection (Bramsen et al., 2009; Bramsen & Kjems, 2013; Ui‐Tei, Nishi, Takahashi, & Nagasawa, 2012).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Bramsen et al., 2009 source
The Discussion states that the strand with the less stable 5′ end is preferentially selected as the guide strand and that chemical modifications can change this thermodynamic asymmetry. The Results further report that destabilizing the sense strand’s 5′ end should disfavor antisense-strand incorporation, supporting the claimed possibility of a reversal in strand preference. Page numbers are not available in our copy. (LLM, conf=0.88)
- Not matchedcites Bramsen & Kjems, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Ui-Tei, Nishi, Takahashi, & Nagasawa, 2012 sourceExperimental — accuracy not yet measured
The section “Thermodynamic Control of RNA Strand Incorporation into the RISC by Chemical Modifications” (page not available) says that 5′-end stability influences which strand enters RISC and that chemical modifications can increase selective guide-strand loading. It does not report a reversal in strand selection, so that specific outcome is not established by our copy. (LLM, conf=0.84)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passes- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“The miR‐24‐2* (5p) strand is upregulated in MCF‐7 breast cancer cell lines compared to control mammary epithelial cells (Martin et al., 2012), (Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Martin et al., 2012 source
The Introduction states that miR-24-2*, the passenger strand, is increased in MCF-7 breast cancer cells compared with non-malignant mammary epithelia. The Results section repeats that comparison. The paper reports the comparison while citing earlier work for it. (LLM, conf=0.92)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Indeed, isomiRs resulting from altered Dicer processing sites have been shown to change the thermodynamic properties of mammalian miRNAs, leading to reversed strand selection (Lee & Doudna, 2012; Wilson & Doudna, 2014).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Lee & Doudna, 2012 sourceExperimental — accuracy not yet measured
The section “Functional effects of differential cleavage upon TRBP association” reports that a shifted Dicer cleavage product changed guide-strand activity in human cells and proposes altered duplex-end stability as an explanation. It does not show reversed strand selection: the original product favored miR-200a-3p, whereas the altered product allowed both strands to function to a similar extent. Page numbers are unavailable in our copy. (LLM, conf=0.88)
- Could not verifycites Wilson & Doudna, 2014 sourceExperimental — accuracy not yet measured
The paper's text (Biophysical Journal supplement, p. 1463a; no section label in our copy) discusses a hypothesized role for TRBP in strand selection and experiments on the Dicer–TRBP interface. Searches for altered Dicer processing sites and thermodynamic asymmetry found no passage addressing isomiRs, changed miRNA thermodynamics, or reversed strand selection. (LLM, conf=0.75)
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“An early observation in mice found that the relative expression of 5p and 3p strands varied for certain miRNA duplexes across different tissues (Ro, Park, Young, Sanders, & Yan, 2007).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Ro, Park, Young, Sanders, & Yan, 2007 source
In Results and Discussion, under “Validation and expression profiling of paired mouse miRNAs,” the paper reports that both strands of mir-194 accumulated in some mouse tissues, while only the 5p strand accumulated in others. This directly supports the claim that the relative expression of 5p and 3p strands varied across tissues. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passes- Supported
- It may state two separate claims as one. 58
- Probably not a substantial claim. 28
At least one cited source doesn’t support this claim or points to a different paper, and none confirmed it — see the verdicts below.
In the paper
“miR‐574* (5p) is oncogenic in colorectal cancer, NSCLC, and PTC (Cui, Tang, Chen, & Wang, 2014; Ji et al., 2012; Ma et al., 2016; X. Wang, Lu, Geng, Yang, & Shi, 2017; Zhou et al., 2015; Zhou et al., 2016), while miR‐574 (3p) is tumor suppressive in breast cancer and leukemia (Chiyomaru et al., 2013; Ujihira et al., 2015; Xu et al., 2020; Yao, Wu, Lindner, & Fox, 2017).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Disputedcites Cui, Tang, Chen, & Wang, 2014 sourceExperimental — accuracy not yet measured
Cui et al.’s Results report that reducing miR-574-5p increased proliferation and invasion in colorectal cancer cells, while increasing it had the opposite effect. The Discussion concludes that miR-574-5p plays a suppressive role in colorectal cancer liver metastasis, contrary to the oncogenic role attributed to this paper. The Discussion also mentions an earlier study reporting reduced tumor growth after miR-574-5p inhibition, but that is not Cui et al.’s finding. (LLM, conf=0.88)
Checked by a reasoning model — may be wrong.
- Not matchedcites Ji et al., 2012
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not matchedcites Ma et al., 2016
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Disputed
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Consistent with this idea, the less abundant miR* strands were shown repress mRNAs containing predicted miR* target sites in flies and mammals, suggesting that miR* strands are functional (Okamura et al., 2008; Yang et al., 2010).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
What the sources say
- Not checked — no full text of the sourcecites Okamura et al., 2008 source
- Supportedcites Yang et al., 2010 source
The Abstract reports transcriptome-wide repression of seed-matched targets by star strands and direct repression of five miR-19* targets through star-seed sites. The Introduction also describes detectable miRNA* effects on target networks in Drosophila, while identifying the paper’s own tests as vertebrate work. (LLM, conf=0.91)
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Interestingly, these ALG‐1 mutations do not reverse strand selection for all miRNAs, suggesting that additional intrinsic or extrinsic factors may affect C. elegans miRNA strand selection differently for distinct miRNAs (Zinovyeva et al., 2015).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Zinovyeva et al., 2015 source
The Discussion reports that ALG-1 mutations affect strand selection differently depending on the particular microRNA. It also raises the possibility that microRNA features or additional extrinsic mechanisms influence which strand is selected, matching the citing sentence's qualified interpretation. (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“microRNAs (miRNAs) play a central role in the regulation of gene expression by targeting specific mRNAs for degradation or translational repression.”
§ microRNA strand selection: Unwinding the rules > Abstract
What the sources say
- Supportedcites Bartel, 2018 source
The Introduction describes miRNAs as regulatory RNAs with conserved interactions with human mRNAs. The miRNA Regulatory Mechanisms section explains that repression of target mRNAs occurs through mRNA decay and reduced translation, supporting both mechanisms in the claim. (LLM, conf=0.94)
- Supportedcites Kim, Chang, & Baek, 2017 source
The Abstract says miRNAs recognize and downregulate target mRNAs. The CANONICAL SITE TYPES section identifies mRNA destabilization and translational repression as mechanisms of gene-expression downregulation, while noting that destabilization is the main mechanism. (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In addition, for majority of miRNAs, both strands have precisely defined 5′ termini, compared to their 3′ ends, suggesting evolutionary pressure to maintain the target‐determining sequence of both strands (Okamura et al., 2008; Ruby, Jan, et al., 2007; Ruby, Stark, et al., 2007; Seitz, Ghildiyal, & Zamore, 2008).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
What the sources say
- Not checked — no full text of the sourcecites Okamura et al., 2008 source
- Partly supportedcites Ruby, Jan, et al., 2007 sourceExperimental — accuracy not yet measured
The mir-1003 sequencing passage (Abstract; page not provided) says that each of two complementary small-RNA sets had a more consistent 5′ than 3′ terminus. The paper also identifies the 5′ seed as important for targeting and notes conservation of two mirtronic miRNA seeds (Abstract; page not provided). It does not establish this pattern for a majority of miRNAs or attribute it to evolutionary pressure to preserve the target-determining sequences of both strands. (LLM, conf=0.84)
- Partly supportedcites Seitz, Ghildiyal, & Zamore, 2008 sourceExperimental — accuracy not yet measured
The Results and Discussion report that, in flies, the 5′ ends of both miRNA and miRNA∗ strands are typically more precisely defined than their 3′ ends. The paper presents evolutionary pressure to preserve seed sequences as one possible explanation, alongside constraints on Argonaute loading. It does not establish the unqualified claim for miRNAs generally. (LLM, conf=0.83)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
Every source the paper cites for this claim was checked and supports it.
In the paper
“Additional pairing between nucleotides in the 3′ half of the miRNA and the target mRNA also contribute to miRNA‐mediated gene targeting (reviewed in Chipman & Pasquinelli, 2019).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Chipman & Pasquinelli, 2019 source
In “Target recognition and regulation by miRNAs,” the review says that, after seed binding, nucleotides in the miRNA’s 3′ half can bind the target site and that 3′-end pairing can affect targeting specificity. “Same seed, different targets” also describes additional 3′-portion pairing as contributing to target interactions. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Selectively blocking the phosphorylation of the 5′ end of the guide strand in vitro leads to the loading of the passenger strand, consistent with either strand having the capacity to be loaded into miRISC (Kawamata et al., 2011).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Kawamata et al., 2011 source
In “RISC loading requires 5′ phosphate of the guide” (Fig. 1C–D; page not provided), the authors report that blocking the original guide strand’s 5′ end while phosphorylating the passenger strand led to Ago1-RISC formation with the passenger strand acting as guide. This supports the claim that either strand can be loaded as the guide under the tested conditions, provided it has a 5′ phosphate. (LLM, conf=0.92)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Consistently, the most commonly observed 5′ nucleotide of miRNA guide strands is a Uracil, whereas the passenger strand often begins with a Cytosine at the 5′ end (Ghildiyal et al., 2009; Mi et al., 2008; Takeda, Iwasaki, Watanabe, Utsumi, & Watanabe, 2008; Warf, Johnson, & Bass, 2011; Figure 2c).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Ghildiyal et al., 2009 source
In the section on miRNA/miRNA* duplex structure and Argonaute loading, the paper reports that 72% of miRNAs detected in fly heads began with U. It also reports that C was the most frequent first nucleotide of miRNA* (passenger) strands, at 32.1%. (LLM, conf=0.91)
- Not matchedcites Mi et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Takeda et al., 2008 source
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The first four nucleotides of each end of the duplex are believed to establish thermodynamic asymmetry, and the difference of a single extra hydrogen bond is sufficient to drive preferential loading of the less stable strand in vitro (Khvorova, Reynolds, & Jayasena, 2003; Krol et al., 2004; Schwarz et al., 2003).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Not checked yetcites Khvorova, Reynolds, & Jayasena, 2003 source
Checked before — its earlier verdict is held back until a new check runs.
- Partly supportedcites Krol et al., 2004 sourceExperimental — accuracy not yet measured
The “Thermodynamic Features of miRNA Precursors” section compares stability at the two duplex ends, including their terminal four nucleotides, but finds that the terminal two nucleotides distinguish miRNA from miRNA* most effectively. It does not report that one extra hydrogen bond suffices to drive preferential loading in vitro. Page numbers are unavailable in our copy. (LLM, conf=0.86)
- Supportedcites Schwarz et al., 2003 source
The Supplementary data (Figure S1 caption; page unavailable) identifies the relative stability of the first four base pairs at each strand’s 5′ end as explaining functional asymmetry. The Results and Discussion (page unavailable) report that a single-hydrogen-bond difference measurably affects RISC assembly and that the less stably paired strand is favored; the supplementary experiments describe in vitro RNAi reactions. (LLM, conf=0.91)
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
- Not checked yet
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Interestingly, in some closely‐related species, the preferred miRNA arm for homologous miRNA genes is not the same (de Wit et al., 2009; Griffiths‐Jones et al., 2011; Marco et al., 2010), consistent with the idea that, in at least some cases, miRNA arm switching could be evolutionarily favored.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites de Wit et al., 2009 source
The miRNA evolution mechanisms section reports that mir-246 has a dominant 3′ arm in C. elegans and C. briggsae but a dominant 5′ arm in C. remanei. The Figure 3 caption identifies this difference between related species as an example of arm switching. The suggestion that switching could be evolutionarily favored is the citing authors’ interpretation of that observation. (LLM, conf=0.91)
- Supportedcites Griffiths-Jones et al., 2011 source
In Results and Discussion, under “Arm choice has evolved in the miR-100/10 family” (page unavailable), the paper reports opposite dominant-arm usage for orthologous miR-10 in D. melanogaster and T. castaneum. It also describes arm switching as a way to change miRNA targets and function during evolution. The sentence’s suggestion that switching could be evolutionarily favored is a cautious interpretation of that finding, not a claim that this paper demonstrated selection for it. (LLM, conf=0.91)
- Partly supportedcites Marco et al., 2010 sourceExperimental — accuracy not yet measured
The Results (Functional Shifts in Insect miRNAs; page unavailable) report different dominant arms for homologous miRNAs in Drosophila and Tribolium, and the Discussion calls arm switching a source of evolutionary novelty. But the Discussion says these species’ conserved miRNAs span approximately 350 million years, so this example does not establish the claim about closely related species. The paper also does not show that switching was evolutionarily favored rather than simply observed. (LLM, conf=0.85)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“However, miRNA guide‐strand selection appears to occur independently of R2D2 as miRNA guide strand loading is not perturbed by loss of R2D2 function (Nishida et al., 2013; Okamura, Robine, Liu, Liu, & Lai, 2010).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Nishida et al., 2013 sourceExperimental — accuracy not yet measured
The Results report that miR-bantam’s distribution between Ago1 and Ago2 was hardly affected by R2D2 loss, and the Discussion says Ago1-associated miRNA levels were hardly changed. These findings support largely unchanged miRNA loading, but the paper’s explicit guide-versus-passenger strand-selection result concerns siRNAs, not miRNAs; it does not directly establish R2D2-independent miRNA guide-strand selection. (LLM, conf=0.85)
- Supportedcites Okamura, Robine, Liu, Liu, & Lai, 2010 source
The Results report that mature miRNA abundance was largely unchanged in AGO1 complexes from RNAi-defective mutants. The Discussion adds that AGO1 continued to preferentially incorporate mature miRNA strands when the RNAi pathway was disrupted, supporting the claim about guide-strand selection and loading despite loss of R2D2. (LLM, conf=0.90)
Load-bearingStrength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“It has been suggested that the ratio of miR::miR* strands may be influenced by target availability, as the presence of suitable mRNA targets can stabilize cognate miRNAs (Chatterjee, Fasler, Büssing, & Großhans, 2011; Tsai et al., 2016).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Chatterjee, Fasler, Büssing, & Großhans, 2011 source
The Introduction states that expressing miRNA targets increases cognate miRNA levels in C. elegans and that target availability may alter miR:miR∗ ratios. The Summary also reports that cognate target mRNAs protect miRNAs from degradation and can promote accumulation of certain miR∗ strands. (LLM, conf=0.94)
- Supportedcites Tsai et al., 2016 source
The Results section reports that adding binding sites or target 3′UTRs increased the levels of the corresponding miR-193a strands, and attributes differences in their ratio to target-gene expression. The Discussion states that target mRNA abundance can stabilise miRNA* strands. Page numbers are not provided in our copy. (LLM, conf=0.94)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“miR‐155* (3p) targets the Hsp40‐family genes Dnaja2 and Dnajb1, whose down‐regulation appears to directly contribute to the disease pathogenesis (Mycko et al., 2015), (Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Mycko et al., 2015 source
The targeting results (Fig. 4C) show that miR-155-3p directly targets Dnaja2 and Dnajb1 and reduces their expression. The Discussion reports that these genes suppress EAE and identifies their transcripts as critical to autoimmune demyelination, supporting the hedged claim that their down-regulation contributes to pathogenesis. Page numbers are not available in the supplied copy. (LLM, conf=0.93)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“While often supported by in vivo observations, such as the observation that most miRNAs begin with a 5′ Uracil (Ghildiyal et al., 2009; Mi et al., 2008; Takeda et al., 2008; Warf et al., 2011), how well these rules hold up in a living organism throughout its lifespan is yet to be established.”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Supportedcites Ghildiyal et al., 2009 source
The section on miRNA/miRNA* duplex structure and Argonaute loading reports that 72% of miRNAs expressed in fly heads began with U, supporting the observation for which this paper is cited. The sentence’s question about whether strand-selection rules hold throughout an organism’s lifespan is the citing authors’ framing, not a finding attributed to this source. (LLM, conf=0.93)
- Not matchedcites Mi et al., 2008
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Not checked — no full text of the sourcecites Takeda et al., 2008 source
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Complicating the matters of miRNA strand stability being dictated by cognate target presence, numerous groups have reported target‐directed miRNA degradation (TDMD), a mechanism for target dependent miRNA decay (reviewed in Wightman, Giono, Fededa, & de la Mata, 2018).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Wightman, Giono, Fededa, & de la Mata, 2018 source
The Introduction describes this paper as a review of findings on TDMD. The General Features of TDMD section defines TDMD as target RNAs triggering degradation of mature miRNAs and cites multiple studies reporting it, supporting both the mechanism and the claim that multiple groups have reported it. (LLM, conf=0.93)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Further, modifications to the 3′ overhangs can also directly affect TS and can influence strand selection (Bramsen et al., 2009; Bramsen & Kjems, 2013; Ui‐Tei et al., 2012).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Bramsen et al., 2009 sourceExperimental — accuracy not yet measured
The Results section ('Modified overhangs alter strand selection by RISC'; page unavailable) reports that 3′-overhang modifications can favour incorporation of the opposing strand. It does not establish that those modifications directly affect TS; the Discussion instead says the strand-selection effect occurs irrespective of the duplex’s thermodynamic asymmetry. (LLM, conf=0.84)
- Not matchedcites Bramsen & Kjems, 2013
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Partly supportedcites Ui-Tei et al., 2012 sourceExperimental — accuracy not yet measured
The section on thermodynamic control by chemical modifications (page unavailable) says that modifications at the 3′ ends of the guide and passenger strands alter duplex stability and can improve selective guide-strand loading. The paper identifies siRNAs as having 3′ overhangs, but it does not establish that the reported stability changes come specifically from modifying those overhangs rather than other 3′-end nucleotides. (LLM, conf=0.84)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“Here, miR‐24‐2* (5p) directly targets PKCα (protein kinase C), a factor that is required for the survival of MCF‐7 breast cancer cells (Martin et al., 2012; Weldon et al., 2005).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Martin et al., 2012 source
The Results section reports that miR-24-2* represses PKCα mRNA and its 3′ UTR in MCF-7 cells. The Discussion describes this as direct inhibition and states that PKCα is critical for MCF-7 cell survival. Page numbers are not provided in our copy. (LLM, conf=0.93)
- Not checked — no full text of the sourcecites Weldon et al., 2005 source
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“suggesting that regulation of TUT4/TUT7 activity can dictate strand selection of miR‐324 in humans, resulting in arm switching across tissues (Kim et al., 2020).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Kim et al., 2020 sourceExperimental — accuracy not yet measured
The section ‘miR-324 arm switching is controlled by TUT4 and TUT7’ reports that TUT4/7 knockdown changes the miR-324 strand ratio in human HEK293T cells. It also links TUT4/7 levels to strand ratios across mouse tissues, but the cited passages do not establish arm switching across human tissues specifically. (LLM, conf=0.84)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Similar observations have been reported in flies, where several miRNA duplexes were found to exhibit tissue‐specific differences in miRNA strand selection (Ghildiyal et al., 2009).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites Ghildiyal et al., 2009 source
The Discussion reports different miRNA/miRNA* ratios for several duplexes in fly heads and ovaries, including a reversal of which strand is more abundant for miR-92a. This supports the cited observation of tissue-specific differences in strand selection; the paper presents the cause of those differences as a possibility, not a finding. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“The abundance of miR‐193a‐5p, but not miR‐193‐3p is significantly decreased in breast cancer and is believed to be due to reduced availability of miR‐193a‐5p targets (Tsai et al., 2016).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Partly supportedcites Tsai et al., 2016 sourceExperimental — accuracy not yet measured
The Results section (‘Different arm expression preferences of miR-193a in breast cancer’; page unavailable) reports significantly lower miR-193a-5p in breast cancer tissue, with no difference in miR-193a-3p. The Discussion proposes that target-gene abundance may explain the differing arm levels, but does not establish that miR-193a-5p targets become less available in breast cancer; it specifically suggests that greater stabilization of miR-193a-3p may explain why that arm did not decline. (LLM, conf=0.84)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Interestingly, miRNA arm switching has been proposed to influence miRNA evolution, as altered selection of a miRNA strand by Argonaute would be expected to result in a different mRNA target repertoire (de Wit, Linsen, Cuppen, & Berezikov, 2009; Griffiths‐Jones, Hui, Marco, & Ronshaugen, 2011; Marco, Hui, Ronshaugen, & Griffiths‐Jones, 2010).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Supportedcites de Wit, Linsen, Cuppen, & Berezikov, 2009 source
The Discussion proposes arm switching as a mechanism of miRNA evolution. The paper also explains that either hairpin arm can supply the miRNA loaded into RISC and that the mature miRNA’s seed determines target recognition. Together, these passages support the proposed change in target repertoire when the selected arm changes; the paper uses “RISC” rather than naming Argonaute in these passages. No page numbers are available in our copy. (LLM, conf=0.88)
- Supportedcites Griffiths-Jones, Hui, Marco, & Ronshaugen, 2011 source
The Introduction says that miRNAs from opposite arms can be sorted into different Argonaute complexes and that changes in arm usage may alter miRNA function. In Results and Discussion (‘Arm switching impacts mRNA target regulation’), the paper reports that targets predicted for the two arms do not overlap more than expected by chance. The supplied passages do not give page numbers. (LLM, conf=0.90)
- Supportedcites Marco, Hui, Ronshaugen, & Griffiths-Jones, 2010 source
The Results section reports that shifts in use of the 5′ and 3′ arms are predicted to change a miRNA’s target profile because the two arms produce different mature sequences. The Discussion identifies arm switching as a source of evolutionary novelty. The paper describes strand association with the RNA-induced silencing complex, though it does not name Argonaute in these passages. (LLM, conf=0.88)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“As ethanol exposure promotes changes in the 5p/3p ratios of certain miRNAs, it is possible that de‐regulation of miRNA strand selection could play some role in alcohol abuse disorders (Ghezzi et al., 2016).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Partly supportedcites Ghezzi et al., 2016 sourceExperimental — accuracy not yet measured
The Discussion reports ethanol-related changes in the abundance of four miRNA passenger strands in Drosophila and suggests that those strands may have regulatory potential. It does not establish changes in 5p/3p ratios or propose that disrupted strand selection plays a role in alcohol abuse disorders. (LLM, conf=0.81)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Under TDMD, the presence of a target mRNA promotes cognate miRNA degradation, often with specific target mRNAs responsible for controlling miRNA decay (Ameres et al., 2010; Cazalla, Yario, Steitz, & Steitz, 2010; de la Mata et al., 2015; Ghini et al., 2018; Kleaveland, Shi, Stefano, & Bartel, 2018).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Ameres et al., 2010 sourceExperimental — accuracy not yet measured
The “miRNA sensors affect steady-state miRNA levels” section (page not provided) reports that engineered egfp mRNAs with complementary sites reduced the abundance of their corresponding miRNAs. This supports target-dependent, cognate miRNA loss, but does not establish that specific target mRNAs often control miRNA decay generally; the paper’s “Sequence requirements for miRNA remodeling” section says canonical animal miRNA-binding sites did not alter miRNA stability. (LLM, conf=0.84)
- Partly supportedcites Cazalla, Yario, Steitz, & Steitz, 2010 sourceExperimental — accuracy not yet measured
The supplied Abstract passage reports that the viral noncoding RNA HSUR 1 directs degradation of mature miR-27 through sequence-specific binding. This supports target-RNA-directed miRNA decay, but the identified RNA is not an mRNA, and the paper does not establish that specific target mRNAs often control miRNA decay. No page numbers are supplied for the passages. (LLM, conf=0.87)
- Supportedcites de la Mata et al., 2015 source
The Introduction defines TDMD as decay of miRNAs triggered by highly complementary target RNAs, including mRNAs. The Discussion reports that expression of highly complementary target mRNAs induces potent, specific miRNA degradation in neurons. (LLM, conf=0.90)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“miR‐574* (5p) targets QKI6 (Quaking), while miR‐574‐3p targets ACVR1B (activin receptor type‐1), and depleting one miRNA strand's target phenocopies the loss of the other miRNA strand in gastric cancer cells (Zhang et al., 2019).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Partly supportedcites Zhang et al., 2019 sourceExperimental — accuracy not yet measured
The Results section, “miR-574-5p/3p target endogenous QKI6 and ACVR1B, respectively” (page unavailable), identifies QKI6 and ACVR1B as direct targets of miR-574-5p and miR-574-3p, respectively. It reports that restoring target expression partly rescues the effects of the corresponding miRNA, but does not show that depleting one strand’s target phenocopies loss of the other strand. (LLM, conf=0.87)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The sources with a verdict support this claim; the rest weren’t checked yet, have no full text we could read, or their verdicts aren’t rated yet.
In the paper
“alters the sequence of miR‐146a* (3p) strand, and likely leads to changes in target repression, contributing to PTC (Jazdzewski et al., 2009; Labbaye & Testa, 2012), (Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Not checked — no full text of the sourcecites Jazdzewski et al., 2009 source
- Supportedcites Labbaye & Testa, 2012 source
The “miR-146a and cancer” section (page not provided) says the G/C polymorphism produces two passenger-strand isoforms, miR-146a*G and miR-146a*C, with distinct target genes. It also links the resulting changes in gene expression in heterozygotes to predisposition to papillary thyroid cancer. (LLM, conf=0.90)
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“Interestingly, over one‐third of the genes regulated by miR‐574‐3p and miR‐574‐5p overlap, highlighting that although each strand contains a unique seed sequence, there can be substantial shared targets of the two strands (Zhang et al., 2019).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Partly supportedcites Zhang et al., 2019 sourceExperimental — accuracy not yet measured
The Results section on QKI6 and ACVR1B (Fig. 3j; page unavailable) reports that approximately one-third of the genes regulated by miR-574-5p and miR-574-3p overlap. It does not establish that the proportion is over one-third, and it describes the common targets as arising through direct or indirect pathways. (LLM, conf=0.87)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In animal models of multiple sclerosis, miR‐155* (3p) is highly up‐regulated in T‐helper (Th) cells, and promotes Th17 cell differentiation (Mycko et al., 2015).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Mycko et al., 2015 source
The Discussion reports that miR-155-3p is highly upregulated in T-helper cells during EAE, an animal model of multiple sclerosis. The Results section, “miR-155-3p presence in CD4+ T cells promotes Th17 development,” reports that its upregulation promotes Th17 differentiation after T-cell receptor activation. (LLM, conf=0.94)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Both strands appear to target Cyclin‐D (CCND1), Ajuba LIM protein (AJUBA) and heart developmental protein with EGF like domains (HEG1) and knocking down those targets phenocopies restored miR‐193b levels (Choi et al., 2019).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Choi et al., 2019 source
The Results section on direct binding reports that both miR-193b strands inhibit CCND1, AJUBA, and HEG1 through interactions with their mRNAs’ 3′UTRs (Figure 4). The Results section on target-gene down-regulation reports that knocking down each gene reduced invasion, migration, and colony formation in lung cancer cells, consistent with the effects of miR-193b (Figure 5). (LLM, conf=0.93)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“TUT4/TUT7 uridylate the 3′ end of miR‐324‐3p, which changes the site of Dicer processing to generate a shorter miR‐324 duplex that undergoes reversed strand selection, stabilizing the miR‐324‐3p strand instead of the typically more abundant miR‐324‐5p strand (Figure 4c; Kim et al., 2020).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Kim et al., 2020 sourceExperimental — accuracy not yet measured
Split into 2 atoms — 0 confirmed, 2 partially supported, 0 disputed, 0 misattributed, 0 unverifiable. Expand the claim to see per-atom verdicts.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Partly supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In fly ovaries, the miR‐92a‐3p, miR‐988‐3p, and miR‐284‐5p strands are expressed at higher levels than their corresponding passenger strands, while the miR‐92a‐5p, miR‐988‐5p, and miR‐284‐3p strands are expressed in excess within fly heads (Ghildiyal et al., 2009).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Partly supportedcites Ghildiyal et al., 2009 sourceExperimental — accuracy not yet measured
The Discussion (page unavailable) reports the claimed ovary-versus-head abundance patterns for miR-92a, miR-988, and miR-284, comparing each annotated miRNA with its miRNA* strand. Our copy does not identify those strands by 3p or 5p designation, so it does not establish that the specifically named strands correspond to the reported comparisons. (LLM, conf=0.82)
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Consistently, restoration of miR‐223 (3p) in BRCA1, BAP1‐deficient cancer cells is synthetic lethal, probably due to repression of NHEJ components (Srinivasan et al., 2019).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Srinivasan et al., 2019 source
The Discussion states that a single miR223-3p transfection induced synthetic lethality in BRCA1- and BAP1-deficient malignancies, likely by destroying the required alternative NHEJ components CtIP and Pso4. The Results also report cytotoxicity in the tested BRCA1- and BAP1-deficient cancer cells. Page numbers are not provided in our copy. (LLM, conf=0.94)
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“In another example, both miR‐193b (3p) and miR‐193b* (5p) are down regulated in lung cancer and restoring the levels of either strand suppresses malignant phenotypes including metastatic potential and cell proliferation (Choi et al., 2019), (Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Choi et al., 2019 source
The Results section reports that both strands are down-regulated in metastatic lung cancer cells. It also reports that restoring either strand reduces migration and invasion; Figure 2 describes colony-forming assays showing reduced proliferative potential. The paper’s evidence is particularly focused on metastatic lung cancer cells. (LLM, conf=0.91)
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources support only part of this claim — read each source’s verdict below.
In the paper
“In another example, a single point mutation (U–C) that affects the relative TS of the human miR‐133a duplex results in altered 5p/3p ratios of miR‐133a and is associated with atrial fibrillation presumably through effects on mRNA targeting (Ohanian et al., 2013; Figure 6d).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Partly supportedcites Ohanian et al., 2013 sourceExperimental — accuracy not yet measured
The Abstract Results and Discussion report that the 79T>C MIR133A2 variant weakens predicted duplex thermostability and changes the miR-133a-5p/3p ratio. The Results identify the variant in one patient with atrial fibrillation, but the Discussion calls its relationship to AF “questionable”; effects on mRNA targets are predicted, not demonstrated in patient tissue. Thus the claimed association through mRNA targeting overstates the evidence. (LLM, conf=0.90)
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Partly supported
Every source the paper cites for this claim was checked and supports it.
In the paper
“Intriguingly, TUT‐4/7 are up‐regulated in glioblastoma and miR‐324 arm switching appears to correlate with a poor prognosis (Kim et al., 2020).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Supportedcites Kim et al., 2020 source
In “Alteration of the miR-324 strand ratio affects cell cycle progression” (Figure 6B–C and Figure S6C), the paper reports that both TUT4 and TUT7 are significantly upregulated in glioblastoma and that patients with low miR-324-5p/3p ratios had poor prognosis. This supports the citing sentence’s cautious description of an association between altered arm usage and prognosis. (LLM, conf=0.94)
Strength:hedged· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Supported
The cited sources that could be checked couldn’t confirm or dispute this claim.
In the paper
“miR‐21* (3p) downregulation of PPACTR4 appears to decrease protein phosphatase 1 (PP1) activity leading to increased phosphorylation and inactivation of the tumor suppressor Rb/E2F (retinoblastoma/E2 transcription factor), ultimately resulting in tumorigenesis (Ge et al., 2015; Ohanian et al., 2013).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Not matchedcites Ge et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
- Could not verifycites Ohanian et al., 2013 sourceExperimental — accuracy not yet measured
The Results section on the MIR133A2 variant reports altered miR-133a-5p abundance, and the Discussion addresses predicted miR-133a targets. Searches for miR-21*, PPACTR4, PP1, Rb/E2F, and tumorigenesis found no passage in our copy addressing the claimed pathway. (LLM, conf=0.76)
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Each miRNA is post‐transcriptionally processed into a duplex comprising two strands.”
§ microRNA strand selection: Unwinding the rules > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
None of the sources cited for this claim have been checked yet.
In the paper
“The Argonaute‐loaded miRNA programs the gene target specificity of the miRISC, as nucleotides 2‐7, referred to as the miRNA “seed” sequence, are mainly responsible for determining the target mRNA identity through base pairing (Grün, Wang, Langenberger, Gunsalus, & Rajewsky, 2005; Haley & Zamore, 2004; Jackson et al., 2003; Krek et al., 2005; Lewis, Burge, & Bartel, 2005; Lewis, Shih, Jones‐Rhoades”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The target gene specificity of miRISC is determined by sequence complementarity between the Argonaute‐loaded miRNA strand and target mRNA.”
§ microRNA strand selection: Unwinding the rules > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds.
In the paper
“Residues within the Argonaute PIWI domain contribute to a phosphate binding tract that is formed along the interface of the MID and PIWI domains that is proposed to sense TS while a nucleotide selection loop within the MID domain senses the identity of the 5′ nucleotide (Suzuki et al., 2015; Figure 2a).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Not checked — no full text of the sourcecites Suzuki et al., 2015 source
Strength:hedged· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ microRNA strand selection: Unwinding the rules > Abstract
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In the paper
“Consistently, the 5′ ends of guide strands have been found to contain an excess of purines, whereas the 5′ ends of passenger strands are pyrimidine rich in humans and flies, which likely contributes to thermodynamic asymmetry between the two duplex ends (Hu et al., 2009).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Not matchedcites Hu et al., 2009
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“One strand of the miRNA duplex is selectively anchored into the Argonaute protein and determines the specificity of the miRISC based on sequence complementarity between the miRNA and the 3′UTR of the target mRNA (Figure 1, Step 5).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Each strand of the miRNA duplex has the capacity to be loaded into miRISC and possesses a unique seed sequence.”
§ microRNA strand selection: Unwinding the rules > Abstract
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“The miRNA duplex is then loaded into an Argonaute protein to form the miRNA‐Induced Silencing Complex (miRISC; Figure 1, Step 5).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“miRNAs that share a common seed sequence, referred to as miRNA families, can target the same group of mRNA substrates, at least in a partially redundant manner.”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
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The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“While either strand can be selected for miRISC loading, frequently, a single miRNA strand predominates.”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
Strength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“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.”
§ microRNA strand selection: Unwinding the rules > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“For most miRNAs, one strand is preferentially loaded into Argonaute and becomes part of the miRISC, originally earning the designation of the “miR” or “guide” strand. The other strand of the miRNA duplex is ejected from the Argonaute protein and degraded (Figure 1, Step 5′).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF microRNA BIOGENESIS AND FUNCTION
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In the paper
“Perhaps not surprisingly, Argonaute protein appears to play a direct role in miRNA strand selection, as recombinant Argonaute MID domain is sufficient to recognize the preferred 5′ nucleotide and to favor thermodynamically unstable ends (Suzuki et al., 2015).”
§ microRNA strand selection: Unwinding the rules > OVERVIEW OF miRISC LOADING AND miRNA STRAND SELECTION
What the sources say
- Not checked — no full text of the sourcecites Suzuki et al., 2015 source
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Aberrant strand selection can lead to altered gene regulation by miRISC and is observed in several human diseases including cancer.”
§ microRNA strand selection: Unwinding the rules > Abstract
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While sequestering miRNA arms might not affect the 5p/3p ratio of a given miRNA, it could alter the balance of target repression by each miRNA arm.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“The ability of cells to switch the miRNA arm preference is also evident from cases of physiological or pathogenic states, further supporting the idea that miRNA strand selection is a regulated process.”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
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A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, isomiRs may be a dominant mechanism driving miRNA strand selection, or arm switching, although it remains possible that unidentified regulators play substantial roles.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A claim is checked only against the cited paper’s full text, never its abstract, and none is available for its sources.
In the paper
“It is also possible that circRNAs, which have been proposed to act as miRNA sponges (reviewed in Kristensen et al., 2019; Thomson & Dinger, 2016), could influence miRNA arm availability by sequestering miRNAs that have target sites within the circRNA.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Thus, the presence of “decay targets” may in theory influence the 5p/3p ratios of certain miRNAs through TDMD.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“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.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes? Based: unclearIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While the 5′‐nucleotide preference and TS rules are considered to be the primary factors driving miRNA strand selection during Argonaute loading, strand selection of all miRNAs may not be explained by these two rules only.”
§ microRNA strand selection: Unwinding the rules > HOW WELL DO miRNAs FOLLOW THE RULES?
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While the nature of these modifications in miRNA strand selection have not been fully explored, such alterations could presumably influence the TS of all small RNA duplexes and subsequently affect strand selection.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✗ Checkable: fails✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. The paper’s conclusions may not depend on it.
In the paper
“however, deletion of the PAZ domain did not alter miRNA loading, suggesting PAZ domain is not required for sensing TS (Suzuki et al., 2015).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Not checked — no full text of the sourcecites Suzuki et al., 2015 source
Strength:hedged· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“These isomiRs can contain truncations or additions to the miRNA duplex and can alter the 5′ nucleotide identity of either, or both, strands.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Rests on an assumption: 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.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Additional accessory factors may also play a role in miRNA strand selection, most likely through isomiR formation.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Strength:hedged· not yet calibratedCausal:conditional· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✗ Based: failsProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
In the paper
“In human cells, DNA damage has been shown to promote changes in the expression of miRNAs (Dickey, Zemp, Martin, & Kovalchuk, 2011)”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Not checked — no full text of the sourcecites Dickey, Zemp, Martin, & Kovalchuk, 2011 source
Strength:boosted· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✗ Load-bearing: fails✓ Based: passesProbably not a substantial claim. The paper’s conclusions may not depend on it.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Overall, several mechanisms may contribute to altered miRNA 5p/3p ratios with regulation of miRNA strand selection likely playing a dominant role (Figure 5).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“In addition, miRBase‐annotated miRNA sequences or abundances may not be able to accurately reflect tissue‐dependent expression of miRNAs, making it difficult to define a single miRNA duplex from which any given miRNA strand originates.”
§ microRNA strand selection: Unwinding the rules > HOW WELL DO miRNAs FOLLOW THE RULES?
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
In the paper
“Notably, the miR‐194‐3p strand was nearly undetectable in brain and stomach tissues but was expressed at least as strongly as the miR‐194‐5p strand in other tissues including lungs, ovaries and uteri (Ro et al., 2007).”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
What the sources say
- Not matchedcites Ro et al., 2007
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Strength:plain· not yet calibratedCausal:correlational· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
- Not matched
None of the sources cited for this claim have been checked yet.
In the paper
“While the miRNA guide strand is usually observed in extreme excess to its corresponding passenger strand, growing evidence supports that the relative levels of the two strands are highly regulated.”
§ microRNA strand selection: Unwinding the rules > REGULATION OF miRNA STRAND SELECTION
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
The paper states this without a source or data behind it here, so there is nothing to check it against. The quote shows it is in the paper.
In the paper
“Overexpression of miR‐574 *(5p) enhances cell proliferation while expression of miR‐574 (3p) suppresses proliferation.”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
Strength:plain· not yet calibratedCausal:direct· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes? Load-bearing: unclear✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“While data suggest that Argonaute proteins contribute to miRNA strand selection by recognizing both the 5′ nucleotide and relative TS of miRNA strands, it has become increasingly clear that these rules can be “circumvented” under different physiological or pathological conditions, primarily through duplex sequence alterations or isomiR production.”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Both miRNA strands can be functional, with arm switching playing a role during development through tissue‐specific or perhaps temporally‐regulated miRNA strand selection.”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Finally, multiple mechanisms may be involved in regulation of miRNA strand selection, with combinations of molecular inputs dictating which miRNA becomes loaded and to what extent.”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Tests✓ Asserted: passes✗ Checkable: fails✓ Load-bearing: passes✓ Based: passesProbably not a substantial claim. It may be too vague to check against evidence. It may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“However, the rules governing miRNA strand selection were determined using a limited number of purified components; whether these rules are sufficient to drive strand selection in vivo has not been extensively explored.”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Load-bearingStrength:plain· not yet calibratedTests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Similarly, altered miRNA strand selection is associated with disease, presumably due to targeting distinct sets of mRNAs (Figure 7).”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✗ Based: failsProbably not a substantial claim. The paper may give no reason why it holds. It may state two separate claims as one.
In the paper
“In squamous cell carcinoma, both miR‐21 (5p) and miR‐21* (3p) are up‐regulated and each is required for cell survival (Ge et al., 2015; Figure 6c, Table 1).”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
What the sources say
- Not matchedcites Ge et al., 2015
Couldn’t be matched to a paper in Crossref, so it can’t be checked.
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
- Not matched
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“Collectively, these data highlight that miRNA strand selection can be highly regulated and alterations to this normally robust process can have dramatic consequences and are prevalent in human disease.”
§ microRNA strand selection: Unwinding the rules > ALTERNATIVE miRNA STRAND USAGE IN HUMAN DISEASE
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
A conclusion the paper draws from its own results — it cites no other source for it, so there is none to check. The quote shows it is in the paper.
In the paper
“There are at least three known regulatory points for miRNA strand selection: (a) altered processing of the miRNAs by RNAse III endonucleases generating templated isomiRs, (b) nontemplated miRNA isomiRs generated through deamination (A‐I editing) or uridylation, which remodel the miRNA duplex, and (c) altered strand preference of Argonaute (Figure 7).”
§ microRNA strand selection: Unwinding the rules > SUMMARY AND PERSPECTIVES
Tests✓ Asserted: passes✓ Checkable: passes✓ Load-bearing: passes✓ Based: passesIt may state two separate claims as one.
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)”
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The cited source says what the claim attributes to it.
In the citing paper
“Both arms of the miRNAs can be expressed as a mature form in vivo (17, 18).”
From miR-33b-3p Acts as a Tumor Suppressor by Targeting DOCK4 in Prostate Cancer (2021) · cites this paper as [18]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Thermodynamic-stability rule uses opposite criteria in text and figure
MinorThe methods text classifies a guide end with higher free energy-and thus lower stability-as not following the rule. Figure 3 instead classifies a guide end with equal or higher stability as not following it; the paper also states that lower-stability ends are favored for loading.
“We considered that a miRNA duplex did not follow the TS rule if the duplex end correlating with the dominant strand's 5′ end had a higher or equal free energy than the duplex end producing the passenger strand.”
“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.”
Figure 4 reverses the stated direction of miR‐324 strand switching
MinorThe Figure 4 caption says wild-type tissue selects miR‐324‐5p and that uridylation reverses selection toward the same strand. The main text instead says uridylation stabilizes miR‐324‐3p rather than miR‐324‐5p.
“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.”
“TUT4/TUT7 uridylate the 3′ end of miR‐324‐3p, which changes the site of Dicer processing to generate a shorter miR‐324 duplex that undergoes reversed strand selection, stabilizing the miR‐324‐3p strand instead of the typically more abundant miR‐324‐5p strand”
Cited works that were retracted
Works this paper cites that were later retracted, from the retraction notices publishers deposit. Major when the notice came out before this paper was published.
Cites a retracted work: 10.26355/eurrev_202005_21323
InfoThe cited work was retracted; the date of the notice is not on record.
Cited work 10.26355/eurrev_202005_21323 · retraction date not known · this paper published 2020-09-20
“Xu, J.‐H., Chen, R.‐Z., Liu, L.‐Y., Li, X.‐M., Wu, C.‐P., Zhou, Y.‐T., … Zhang, Z.‐Y. (2020). LncRNA ZEB2‐AS1 promotes the proliferation, migration and invasion of esophageal squamous cell carcinoma cell through miR‐574‐3p/HMGA2 axis. European Review for Medical and Pharmacological Sciences, 24(10), 5391– 5403. 10.26355/eurrev_202005_21323 32495874”
Citations
Cites
1 retracted
Xu, J., Chen, R.-Z., Liu, L.-Y., Li, X. M., Wu, C., Zhou, Y.-T., Yan, J.-D., & Zhang, Z.-Y. (2020) · PubMed · doi:10.26355/eurrev_202005_21323 · Cited by 10
RetractedLewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
The nuclear RNase III Drosha initiates microRNA processing
Lee, Y., Ahn, C., Han, J., Choi, H., Kim, J., Yim, J., Lee, J., Provost, P., Rådmark, O., Kim, S., et al. (2003) · Nature · doi:10.1038/nature01957 · Cited by 5,299
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Lorenz, R., Bernhart, S. H., Höner zu Siederdissen, C., Tafer, H., Flamm, C., Stadler, P. F., & Hofacker, I. L. (2011) · Algorithms for Molecular Biology · doi:10.1186/1748-7188-6-26 · Cited by 5,098
miRBase: from microRNA sequences to function
Kozomara, A., Birgaoanu, M., & Griffiths-Jones, S. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky1141 · Cited by 4,843
The biogenesis, biology and characterization of circular RNAs
Kristensen, L. S., Andersen, M. S., Stagsted, L. V. W., Ebbesen, K. K., Hansen, T. B., & Kjems, J. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0158-7 · Cited by 4,823
Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs
Lim, L. P., Lau, N. C., Garrett-Engele, P., Grimson, A., Schelter, J. M., Castle, J., Bartel, D. P., Linsley, P. S., & Johnson, J. M. (2005) · Nature · doi:10.1038/nature03315 · Cited by 4,755
Combinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
MicroRNA genes are transcribed by RNA polymerase II
Lee, Y., Kim, M., Han, J., Yeom, K.-H., Lee, S., Baek, S. H., & Kim, V. N. (2004) · The EMBO Journal · doi:10.1038/sj.emboj.7600385 · Cited by 4,556
Mammalian microRNAs predominantly act to decrease target mRNA levels
Guo, H., Ingolia, N. T., Weissman, J. S., & Bartel, D. P. (2010) · Nature · doi:10.1038/nature09267 · Cited by 3,886
Bartel, D. P. (2018) · Cell · doi:10.1016/j.cell.2018.03.006 · Cited by 3,751
The impact of microRNAs on protein output
Baek, D., Villén, J., Shin, C., Camargo, F. D., Gygi, S. P., & Bartel, D. P. (2008) · Nature · doi:10.1038/nature07242 · Cited by 3,592
Widespread changes in protein synthesis induced by microRNAs
Selbach, M., Schwanhäusser, B., Thierfelder, N., Fang, Z., Khanin, R., & Rajewsky, N. (2008) · Nature · doi:10.1038/nature07228 · Cited by 3,429 · cited 1×
“…is shown to be a wide-spread outcome of miRISC-dependent gene regulation and knocking down miRISC components generally leads to increased levels of miRNA targets (Baek et al., 2008; Behm-Ansmant et al., 2006; Guo, Ingolia, Weissman, & Bartel, 2010; Hendrickson et al., 2009; Selbach et al., 2008).”
BackgroundAsymmetry in the Assembly of the RNAi Enzyme Complex
Schwarz, D. S., Hutvágner, G., Du, T., Xu, Z., Aronin, N., & Zamore, P. D. (2003) · Cell · doi:10.1016/s0092-8674(03)00759-1 · Cited by 2,922
Switching from Repression to Activation: MicroRNAs Can Up-Regulate Translation
Vasudevan, S., Tong, Y., & STEITZ, J. A. (2007) · Science · doi:10.1126/science.1149460 · Cited by 2,911
The Microprocessor complex mediates the genesis of microRNAs
Gregory, R. I., Yan, K.-P., Amuthan, G., Chendrimada, T. P., Doratotaj, B., Cooch, N. S., & Shiekhattar, R. (2004) · Nature · doi:10.1038/nature03120 · Cited by 2,851
Processing of primary microRNAs by the Microprocessor complex
Denli, A. M., Tops, B. B. J., Plasterk, R. H. A., Ketting, R. F., & Hannon, G. J. (2004) · Nature · doi:10.1038/nature03049 · Cited by 2,784
Hutvágner, G., McLachlan, J., Pasquinelli, A. E., Bálint, E., Tuschl, T., & Zamore, P. D. (2001) · Science · doi:10.1126/science.1062961 · Cited by 2,781
Nuclear Export of MicroRNA Precursors
Lund, E., Güttinger, S., Calado, Â., Dahlberg, J. E., & Kutay, U. (2003) · Science · doi:10.1126/science.1090599 · Cited by 2,705
Functional siRNAs and miRNAs exhibit strand bias
Khvorova, A., Reynolds, A., & Jayasena, S. D. (2003) · Cell · doi:10.1016/s0092-8674(03)00801-8 · Cited by 2,645
MicroRNA maturation: stepwise processing and subcellular localization
Lee, Y., Jeon, K., Lee, J., Kim, S., & Kim, V. N. (2002) · The EMBO Journal · doi:10.1093/emboj/cdf476 · Cited by 2,572
Expression profiling reveals off-target gene regulation by RNAi
Jackson, A. L., Bartz, S. R., Schelter, J., Kobayashi, S. V., Burchard, J., Mao, M., Li, B., Cavet, G., & Linsley, P. S. (2003) · Nature Biotechnology · doi:10.1038/nbt831 · Cited by 2,370
Regulation of microRNA function in animals
Gebert, L. F. R., & MacRae, I. J. (2019) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-018-0045-7 · Cited by 2,284
The Drosha-DGCR8 complex in primary microRNA processingPreprint
Han, J., Lee, Y., Yeom, K.-H., Kim, Y. K., Jin, H., & Kim, V. N. (2004) · Genes & Development · doi:10.1101/gad.1262504 · Cited by 2,208
Endogenous microRNA sponges: evidence and controversy
Thomson, D. W., & Dinger, M. E. (2016) · Nature Reviews Genetics · doi:10.1038/nrg.2016.20 · Cited by 2,185
Grishok, A., Pasquinelli, A. E., Conte, D., Li, N., Parrish, S., Ha, I., Baillie, D. L., Fire, A., Ruvkun, G., & Mello, C. C. (2001) · Cell · doi:10.1016/s0092-8674(01)00431-7 · Cited by 1,908
Towards a molecular understanding of microRNA-mediated gene silencing
Jonas, S., & Izaurralde, E. (2015) · Nature Reviews Genetics · doi:10.1038/nrg3965 · Cited by 1,872
Ketting, R. F., Fischer, S. E. J., Bernstein, E., Sijen, T., Hannon, G. J., & Plasterk, R. H. A. (2001) · Genes & Development · doi:10.1101/gad.927801 · Cited by 1,852
Intronic microRNA precursors that bypass Drosha processing
Ruby, J. G., Jan, C. H., & Bartel, D. P. (2007) · Nature · doi:10.1038/nature05983 · Cited by 1,722
Zebrafish MiR-430 Promotes Deadenylation and Clearance of Maternal mRNAs
Giraldez, A. J., Mishima, Y., Rihel, J., Grocock, R. J., Van Dongen, S., Inoue, K., Enright, A. J., & Schier, A. F. (2006) · Science · doi:10.1126/science.1122689 · Cited by 1,647
Mathews, D. H., Disney, M. D., Childs‐Disney, J. L., Schroeder, S. J., Zuker, M., & Turner, D. H. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0401799101 · Cited by 1,642
Crystal Structure of Argonaute and Its Implications for RISC Slicer Activity
Song, J., Smith, S. K., Hannon, G. J., & Joshua‐Tor, L. (2004) · Science · doi:10.1126/science.1102514 · Cited by 1,531
Sorting of Small RNAs into Arabidopsis Argonaute Complexes Is Directed by the 5′ Terminal Nucleotide
Mi, S., Cai, T., Hu, Y., Chen, Y., Hodges, E. C., Ni, F., Wu, L., Li, S., Zhou, H., Long, C., et al. (2008) · Cell · doi:10.1016/j.cell.2008.02.034 · Cited by 1,343
Olsen, P. H., & Ambros, V. (1999) · Developmental Biology · doi:10.1006/dbio.1999.9523 · Cited by 1,234
MicroRNAs direct rapid deadenylation of mRNA
Wu, L., Fan, J., & Belasco, J. G. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510928103 · Cited by 1,182
Behm‐Ansmant, I., Rehwinkel, J., Doerks, T., Stark, A., Bork, P., & Izaurralde, E. (2006) · Genes & Development · doi:10.1101/gad.1424106 · Cited by 1,113
The Mirtron Pathway Generates microRNA-Class Regulatory RNAs in Drosophila
Okamura, K., Hagen, J. W., Duan, H., Tyler, D. M., & Lai, E. C. (2007) · Cell · doi:10.1016/j.cell.2007.06.028 · Cited by 1,089
Circularization of mRNA by Eukaryotic Translation Initiation Factors
Wells, S. E., Hillner, P. E., Vale, R. D., & Sachs, A. B. (1998) · Molecular Cell · doi:10.1016/s1097-2765(00)80122-7 · Cited by 968
Knight, S. W., & Bass, B. (2001) · Science · doi:10.1126/science.1062039 · Cited by 875
Characterization of Dicer-deficient murine embryonic stem cells
Murchison, E. P., Partridge, J. F., Tam, O. H., Cheloufi, S., & Hannon, G. J. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0505479102 · Cited by 800
TUT4 in Concert with Lin28 Suppresses MicroRNA Biogenesis through Pre-MicroRNA Uridylation
Heo, I., Joo, C., Kim, Y.-K., Ha, M., Yoon, M.-J., Cho, J., Yeom, K.-H., Han, J., & Kim, V. N. (2009) · Cell · doi:10.1016/j.cell.2009.08.002 · Cited by 798
Structural basis for overhang-specific small interfering RNA recognition by the PAZ domain
Ma, J., Ye, K., & Patel, D. J. (2004) · Nature · doi:10.1038/nature02519 · Cited by 768
Ribosome Profiling Shows That miR-430 Reduces Translation Before Causing mRNA Decay in Zebrafish
Bazzini, A. A., Lee, M. T., & Giraldez, A. J. (2012) · Science · doi:10.1126/science.1215704 · Cited by 709
Structural basis for 5′-nucleotide base-specific recognition of guide RNA by human AGO2
Frank, F., Sonenberg, N., & Nagar, B. (2010) · Nature · doi:10.1038/nature09039 · Cited by 666
Structural basis for 5′-end-specific recognition of guide RNA by the A. fulgidus Piwi protein
Ma, J., Yuan, Y. A., Meister, G., Pei, Y., Tuschl, T., & Patel, D. J. (2005) · Nature · doi:10.1038/nature03514 · Cited by 649
Evaluation of the Spermatogenic Activity of Polyherbal Formulation in Oligospermic Males
Hussain, S. A., Hameed, A., Nasir, F., Wu, Y., Suleria, H. A. R., & Song, Y. (2018) · BioMed Research International · doi:10.1155/2018/2070895 · Cited by 644
Target RNA–Directed Trimming and Tailing of Small Silencing RNAs
Ameres, S. L., Horwich, M. D., Hung, J.-H., Xu, J., Ghildiyal, M., Weng, Z., & Zamore, P. D. (2010) · Science · doi:10.1126/science.1187058 · Cited by 628
A Network of Noncoding Regulatory RNAs Acts in the Mammalian Brain
Kleaveland, B., Shi, C. Y., Stefano, J., & Bartel, D. P. (2018) · Cell · doi:10.1016/j.cell.2018.05.022 · Cited by 610
Ruby, J. G., Stark, E., Johnston, W. K., Kellis, M., Bartel, D. P., & Lai, E. C. (2007) · Genome Research · doi:10.1101/gr.6597907 · Cited by 602
A Protein Sensor for siRNA Asymmetry
Tomari, Y., Matranga, C. B., Haley, B., Martinez, N. J., & Zamore, P. D. (2004) · Science · doi:10.1126/science.1102755 · Cited by 601
Turner, D. H., & Mathews, D. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkp892 · Cited by 575
Structure of the guide-strand-containing argonaute silencing complex
Wang, Y., Sheng, G., Juranek, S., Tuschl, T., & Patel, D. J. (2008) · Nature · doi:10.1038/nature07315 · Cited by 550
Okamura, K., Phillips, M. D., Tyler, D. M., Duan, H., Chou, Y.-T., & Lai, E. C. (2008) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1409 · Cited by 544
Kinetic analysis of the RNAi enzyme complex
Haley, B., & Zamore, P. D. (2004) · Nature Structural & Molecular Biology · doi:10.1038/nsmb780 · Cited by 544
Eichhorn, S. W., Guo, H., McGeary, S. E., Rodriguez-Mias, R. A., Shin, C., Baek, D., Hsu, S.-H., Ghoshal, K., Villén, J., & Bartel, D. P. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.08.028 · Cited by 503
A crucial role for GW182 and the DCP1:DCP2 decapping complex in miRNA-mediated gene silencing
Rehwinkel, J., Behm‐Ansmant, I., Gatfield, D., & Izaurralde, E. (2005) · RNA · doi:10.1261/rna.2191905 · Cited by 493
Lin28 recruits the TUTase Zcchc11 to inhibit let-7 maturation in mouse embryonic stem cells
Hagan, J. P., Piskounova, E., & Gregory, R. I. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1676 · Cited by 491
Takeda, A., Iwasaki, S., Watanabe, T., Utsumi, M., & Watanabe, Y. (2008) · Plant and Cell Physiology · doi:10.1093/pcp/pcn043 · Cited by 490
Down-Regulation of a Host MicroRNA by a Herpesvirus saimiri Noncoding RNA
Cazalla, D., Yario, T., & Steitz, J. A. (2010) · Science · doi:10.1126/science.1187197 · Cited by 483
Kim, Y. K., Yu, J., Han, T. S., Park, S.-Y., Namkoong, B., Kim, D. H., Hur, K., Yoo, M., Lee, H.-J., Yang, H., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp002 · Cited by 476
Processing of Pre-microRNAs by the Dicer-1–Loquacious Complex in Drosophila Cells
Saito, K., Ishizuka, A., Siomi, H., & Siomi, M. C. (2005) · PLoS Biology · doi:10.1371/journal.pbio.0030235 · Cited by 450
microRNA Target Predictions across Seven Drosophila Species and Comparison to Mammalian Targets
Grün, D., Wang, Y.-L., Langenberger, D., Gunsalus, K. C., & Rajewsky, N. (2005) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0010013 · Cited by 447
Seggerson, K., Tang, L., & Moss, E. G. (2002) · Developmental Biology · doi:10.1006/dbio.2001.0563 · Cited by 421
Concordant Regulation of Translation and mRNA Abundance for Hundreds of Targets of a Human microRNA
Hendrickson, D. G., Hogan, D. J., McCullough, H. L., Myers, J. W., Herschlag, D., Ferrell, J. E., & Brown, P. O. (2009) · PLoS Biology · doi:10.1371/journal.pbio.1000238 · Cited by 418
Eulálio, A., Huntzinger, E., & Izaurralde, E. (2008) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1405 · Cited by 414
Yuan, Y. A., Pei, Y., Ma, J., Kuryavyi, V., Zhadina, M., Meister, G., Chen, H., Dauter, Z., Tuschl, T., & Patel, D. J. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.07.011 · Cited by 392
Eystathioy, T., Chan, E. K. L., Tenenbaum, S. A., Keene, J. D., Griffith, K. J., & Fritzler, M. J. (2002) · Molecular Biology of the Cell · doi:10.1091/mbc.01-11-0544 · Cited by 387
ATP-dependent human RISC assembly pathways
Yoda, M., Kawamata, T., Paroo, Z., Ye, X., Iwasaki, S., Liu, Q., & Tomari, Y. (2010) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1733 · Cited by 380
GW182 Proteins Directly Recruit Cytoplasmic Deadenylase Complexes to miRNA Targets
Braun, J. E., Huntzinger, E., Fauser, M., & Izaurralde, E. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.09.007 · Cited by 371
Bramsen, J. B., Laursen, M. B., Nielsen, A. F., Hansen, T. B., Bus, C., Langkjær, N., Babu, B. R., Højland, T., Abramov, M., Van Aerschot, A., et al. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp106 · Cited by 369
Ghildiyal, M., Xu, J., Seitz, H., Weng, Z., & Zamore, P. D. (2010) · RNA · doi:10.1261/rna.1972910 · Cited by 362
Widespread regulatory activity of vertebrate microRNA* species
Yang, J.-S., Phillips, M. D., Betel, D., Mu, P., Ventura, A., Siepel, A. C., Chen, K. C., & Lai, E. C. (2011) · RNA · doi:10.1261/rna.2537911 · Cited by 360
Wakiyama, M., Takimoto, K., Ohara, O., & Yokoyama, S. (2007) · Genes & Development · doi:10.1101/gad.1566707 · Cited by 343
A role for the Perlman syndrome exonuclease Dis3l2 in the Lin28–let-7 pathway
Chang, H.-M., Triboulet, R., Thornton, J. E., & Gregory, R. I. (2013) · Nature · doi:10.1038/nature12119 · Cited by 341
Tissue-dependent paired expression of miRNAs
Ro, S., Park, C., Young, D., Sanders, K. M., & Yan, W. (2007) · Nucleic Acids Research · doi:10.1093/nar/gkm641 · Cited by 340
Dicer-1 and R3D1-L catalyze microRNA maturation in DrosophilaPreprint
Jiang, F., Ye, X., Liu, X., Fincher, L., Mckearin, D. M., & Liu, Q. (2005) · Genes & Development · doi:10.1101/gad.1334005 · Cited by 330
Wyman, S. K., Knouf, E. C., Parkin, R. K., Fritz, B. R., Lin, D. W., Dennis, L. M., Krouse, M., Webster, P. J., & Tewari, M. (2011) · Genome Research · doi:10.1101/gr.118059.110 · Cited by 330
Translational Repression and eIF4A2 Activity Are Critical for MicroRNA-Mediated Gene Regulation
Meijer, H. A., Kong, Y. W., Lu, W. T., Wilczynska, A., Spriggs, R. V., Robinson, S. W., Godfrey, J. D., Willis, A. E., & Bushell, M. (2013) · Science · doi:10.1126/science.1231197 · Cited by 326
Distinct Mechanisms for MicroRNA Strand Selection by Drosophila Argonautes
Okamura, K., Liu, N., & Lai, E. C. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.09.027 · Cited by 324
Structural determinants of miRNAs for RISC loading and slicer-independent unwinding
Kawamata, T., Seitz, H., & Tomari, Y. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1630 · Cited by 318
The N domain of Argonaute drives duplex unwinding during RISC assembly
Kwak, P. B., & Tomari, Y. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2232 · Cited by 315
Computational identification of microRNA targets
Rajewsky, N., & Socci, N. D. (2004) · Developmental Biology · doi:10.1016/j.ydbio.2003.12.003 · Cited by 308
Polymorphic mature microRNAs from passenger strand of pre-miR-146a contribute to thyroid cancer
Jazdzewski, K., Liyanarachchi, S., Swierniak, M., Pachucki, J., Ringel, M. D., Jarzab, B., & de la Chapelle, A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0812591106 · Cited by 304
Lei, D., Spencer, A., Morita, K., & Han, M. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.07.013 · Cited by 279
miRNA Targeting: Growing beyond the Seed
Chipman, L. B., & Pasquinelli, A. E. (2019) · Trends in Genetics · doi:10.1016/j.tig.2018.12.005 · Cited by 273
Structural insights into RNA processing by the human RISC-loading complex
Wang, H., Noland, C. L., Siridechadilok, B., Taylor, D. W., Ma, E., Felderer, K., Doudna, J. A., & Nogales, E. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1673 · Cited by 272
RNA decay machines: Deadenylation by the Ccr4–Not and Pan2–Pan3 complexes
Wahle, E., & Winkler, G. S. (2013) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2013.01.003 · Cited by 267
Till, S., Lejeune, E., Thermann, R., Bortfeld‐Miller, M., Hothorn, M., Enderle, D., Heinrich, C., Hentze, M. W., & Ladurner, A. G. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1302 · Cited by 262
An Argonaute phosphorylation cycle promotes microRNA-mediated silencing
Golden, R. J., Chen, B., Li, T., Braun, J., Manjunath, H., Chen, X., Wu, J., Schmid, V., Chang, T.-C., Kopp, F. B., et al. (2017) · Nature · doi:10.1038/nature21025 · Cited by 260
Iizasa, H., Wulff, B.-E., Alla, N. R., Maragkakis, M., Megraw, M., Hatzigeorgiou, A., Iwakiri, D., Takada, K., Wiedmer, A., Showe, L., et al. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m110.138362 · Cited by 250
Zhang, L., Lei, D., Cheung, T. H., Dong, M., Chen, J., Sewell, A. K., Liu, X., Yates, J. R., & Han, M. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.09.014 · Cited by 245
Regulation of miRNA strand selection: follow the leader?
Meijer, H. A., Smith, E. M., & Bushell, M. (2014) · Biochemical Society Transactions · doi:10.1042/bst20140142 · Cited by 233
LIN-28 and the poly(U) polymerase PUP-2 regulate let-7 microRNA processing in Caenorhabditis elegans
Lehrbach, N. J., Armisen, J., Lightfoot, H. L., Murfitt, K. J., Bugaut, A., Balasubramanian, S., & Miska, E. A. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1675 · Cited by 233
Structural Basis for Target-Directed MicroRNA Degradation
Sheu-Gruttadauria, J., Pawlica, P., Klum, S. M., Wang, S., Yario, T. A., Schirle Oakdale, N. T., Steitz, J. A., & MacRae, I. J. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.019 · Cited by 230
The emerging role of MIR-146A in the control of hematopoiesis, immune function and cancer
Labbaye, C., & Testa, U. (2012) · Journal of Hematology & Oncology · doi:10.1186/1756-8722-5-13 · Cited by 228
MicroRNA evolution by arm switching
Griffiths‐Jones, S., Hui, J. H. L., Marco, A., & Ronshaugen, M. (2011) · The EMBO Reports · doi:10.1038/embor.2010.191 · Cited by 224
Characterization of the interactions between mammalian PAZ PIWI domain proteins and Dicer
Tahbaz, N., Kolb, F. A., Zhang, H., Jaronczyk, K., Filipowicz, W., & Hobman, T. C. (2004) · EMBO Reports · doi:10.1038/sj.embor.7400070 · Cited by 220
Drosophila Argonaute1 and Argonaute2 Employ Distinct Mechanisms for Translational Repression
Iwasaki, S., Kawamata, T., & Tomari, Y. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.02.010 · Cited by 209
Dynamic isomiR regulation in Drosophila development
Fernandez-Valverde, S. L., Taft, R. J., & Mattick, J. S. (2010) · RNA · doi:10.1261/rna.2379610 · Cited by 208
Anatomy of RISC : how do small RNAs and chaperones activate Argonaute proteins?
Nakanishi, K. (2016) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1356 · Cited by 208
Thornton, J. E., Chang, H.-M., Piskounova, E., & Gregory, R. I. (2012) · RNA · doi:10.1261/rna.034538.112 · Cited by 206
Krol, J., Sobczak, K., Wilczynska, U., Drath, M., Jasinska, A., Kaczynska, D., & Krzyzosiak, W. J. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m404931200 · Cited by 200
Potent degradation of neuronal miRNAs induced by highly complementary targets
de la Mata, M., Gaidatzis, D., Vitanescu, M., Stadler, M. B., Wentzel, C., Scheiffele, P., Filipowicz, W., & Großhans, H. (2015) · The EMBO Reports · doi:10.15252/embr.201540078 · Cited by 193
Phosphorylation of human Argonaute proteins affects small RNA binding
Rüdel, S., Wang, Y., Lenobel, R., Körner, R., Hsiao, H.-H., Urlaub, H., Patel, D., & Meister, G. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkq1032 · Cited by 188
Sequence features associated with microRNA strand selection in humans and flies
Hu, H., Zheng, Y., Xu, Y., Hu, H., Menzel, C., Zhou, Y. H., Chen, W., & Khaitovich, P. (2009) · BMC Genomics · doi:10.1186/1471-2164-10-413 · Cited by 187
Zekri, L., Huntzinger, E., Heimstädt, S., & Izaurralde, E. (2009) · Molecular and Cellular Biology · doi:10.1128/mcb.01081-09 · Cited by 186
Genistein Up-Regulates Tumor Suppressor MicroRNA-574-3p in Prostate Cancer
Chiyomaru, T., Yamamura, S., Fukuhara, S., Hidaka, H., Majid, S., Saini, S., Arora, S., Deng, G., Shahryari, V., Chang, I., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058929 · Cited by 175
Argonaute Loading Improves the 5′ Precision of Both MicroRNAs and Their miRNA∗ Strands in Flies
Seitz, H., Ghildiyal, M., & Zamore, P. D. (2008) · Current Biology · doi:10.1016/j.cub.2007.12.049 · Cited by 172
Target-Mediated Protection of Endogenous MicroRNAs in C. elegans
Chatterjee, S., Fasler, M., Büssing, I., & Großhans, H. (2011) · Developmental Cell · doi:10.1016/j.devcel.2011.02.008 · Cited by 170
Horman, S. R., Janas, M. M., Litterst, C. M., Wang, B., MacRae, I. J., Sever, M. J., Morrissey, D. V., Graves, P. R., Luo, B., Umesalma, S., et al. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.03.015 · Cited by 164
TRBP alters human precursor microRNA processing in vitro
Lee, H. Y., & Doudna, J. A. (2012) · RNA · doi:10.1261/rna.035501.112 · Cited by 161
The role of the precursor structure in the biogenesis of microRNA
Staręga‐Rosłan, J., Kościańska, E., Kozłowski, P., & Krzyżosiak, W. J. (2011) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-011-0726-2 · Cited by 158
CCR4-NOT Deadenylates mRNA Associated with RNA-Induced Silencing Complexes in Human Cells
Piao, X., Zhang, X., Wu, L., & Belasco, J. G. (2010) · Molecular and Cellular Biology · doi:10.1128/mcb.01481-09 · Cited by 158
Ghini, F., Rubolino, C., Climent, M., Simeone, I., Marzi, M. J., & Nicassio, F. (2018) · Nature Communications · doi:10.1038/s41467-018-05182-9 · Cited by 154
Lazzaretti, D., Tournier, I., & Izaurralde, E. (2009) · RNA · doi:10.1261/rna.1606309 · Cited by 153
Hsp90 Regulates the Function of Argonaute 2 and Its Recruitment to Stress Granules and P-Bodies
Pare, J. M., Tahbaz, N., López-Orozco, J., LaPointe, P., Lasko, P. F., & Hobman, T. C. (2009) · Molecular Biology of the Cell · doi:10.1091/mbc.e09-01-0082 · Cited by 151
Lian, S. L., Li, S., Abadal, G. X., Pauley, B. A., Fritzler, M. J., & Chan, E. K. L. (2009) · RNA · doi:10.1261/rna.1229409 · Cited by 150
siRNA Repositioning for Guide Strand Selection by Human Dicer Complexes
Noland, C. L., Ma, E., & Doudna, J. A. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.05.028 · Cited by 149
Importance of the C-terminal domain of the human GW182 protein TNRC6C for translational repression
Zipprich, J. T., Bhattacharyya, S., Mathys, H., & Filipowicz, W. (2009) · RNA · doi:10.1261/rna.1448009 · Cited by 149
Functional Shifts in Insect microRNA Evolution
Marco, A., Hui, J. H. L., Ronshaugen, M., & Griffiths-Jones, S. (2010) · Genome Biology and Evolution · doi:10.1093/gbe/evq053 · Cited by 144
GW182 family proteins are crucial for microRNA-mediated gene silencing
Ding, L., & Han, M. (2007) · Trends in Cell Biology · doi:10.1016/j.tcb.2007.06.003 · Cited by 140
MicroRNAs Trigger Dissociation of eIF4AI and eIF4AII from Target mRNAs in Humans
Fukao, A., Mishima, Y., Takizawa, N., Oka, S., Imataka, H., Pelletier, J., Sonenberg, N., Thoma, C., & Fujiwara, T. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.09.005 · Cited by 137
Wynsberghe, P. M. V., Kai, Z. S., Massirer, K. B., Burton, V. H., Yeo, G. W.-M., & Pasquinelli, A. E. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1986 · Cited by 133
Ding, X. C., & Großhans, H. (2009) · The EMBO Journal · doi:10.1038/emboj.2008.275 · Cited by 131
Takimoto, K., Wakiyama, M., & Yokoyama, S. (2009) · RNA · doi:10.1261/rna.1363109 · Cited by 130
A C-terminal silencing domain in GW182 is essential for miRNA function
Eulálio, A., Helms, S., Fritzsch, C., Fauser, M., & Izaurralde, E. (2009) · RNA · doi:10.1261/rna.1605509 · Cited by 130
Crystal structure of the MID-PIWI lobe of a eukaryotic Argonaute protein
Boland, A., Huntzinger, E., Schmidt, S., Izaurralde, E., & Weichenrieder, O. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1103946108 · Cited by 126
Deletion of Human tarbp2 Reveals Cellular MicroRNA Targets and Cell-Cycle Function of TRBP
Kim, Y., Yeo, J., Lee, J. H., Cho, J., Seo, D., Kim, J.-S., & Kim, V. N. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.09.039 · Cited by 124
Repertoire and evolution of miRNA genes in four divergent nematode species
de Wit, E., Linsen, S. E. V., Cuppen, E., & Berezikov, E. (2009) · Genome Research · doi:10.1101/gr.093781.109 · Cited by 121
MicroRNAs Block Assembly of eIF4F Translation Initiation Complex in Drosophila
Fukaya, T., Iwakawa, H., & Tomari, Y. (2014) · Molecular Cell · doi:10.1016/j.molcel.2014.09.004 · Cited by 120
Regulation of Poly(A)-binding Protein through PABP-interacting ProteinsPreprint
Derry, M. C., Yanagiya, A., Martineau, Y., & Sonenberg, N. (2006) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2006.71.061 · Cited by 120
Ji, S., Ye, G., Zhang, J., Wang, L., Wang, T., Wang, Z., Zhang, T., Wang, G., Guo, Z., Luo, Y., et al. (2012) · Gut · doi:10.1136/gutjnl-2011-301083 · Cited by 118
Wang, X., Lu, X., Geng, Z., Guo-yu, Y., & Shi, Y. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.26142 · Cited by 117
Two PABPC1‐binding sites in GW182 proteins promote miRNA‐mediated gene silencing
Huntzinger, E., Braun, J. E., Heimstädt, S., Zekri, L., & Izaurralde, E. (2010) · The EMBO Journal · doi:10.1038/emboj.2010.274 · Cited by 112
The landscape of miRNA editing in animals and its impact on miRNA biogenesis and targetingPreprint
Li, L., Song, Y., Shi, X., Liu, J. F., Xiong, S., Chen, W., Fu, Q., Huang, Z., Gu, N., & Zhang, R. (2017) · Genome Research · doi:10.1101/gr.224386.117 · Cited by 111
Small-RNA asymmetry is directly driven by mammalian Argonautes
Suzuki, H. I., Katsura, A., Yasuda, T., Ueno, T., Mano, H., Sugimoto, K., & Miyazono, K. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3050 · Cited by 108 · cited 4×
“…the strand switching-miRNAs from miRNAs resistant to ALG-1 mutations (Zinovyeva et al., 2015). miRNA duplexes also contain mismatches; however, the presence and positions of central mismatches do not appear to play a substantial role in miRNA strand selection in human cells (Suzuki et al., 2015).”
BackgroundInfluentialChristie, M., Boland, A., Huntzinger, E., Weichenrieder, O., & Izaurralde, E. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.07.011 · Cited by 106
RNA folding with hard and soft constraints
Lorenz, R., Hofacker, I. L., & Stadler, P. F. (2016) · Algorithms for Molecular Biology · doi:10.1186/s13015-016-0070-z · Cited by 106
Understanding How miRNAs Post-Transcriptionally Regulate Gene Expression
Fabian, M. R., Sundermeier, T. R., & Sonenberg, N. (2009) · Progress in molecular and subcellular biology · doi:10.1007/978-3-642-03103-8_1 · Cited by 99
A Mechanism for microRNA Arm Switching Regulated by Uridylation
Kim, H., Kim, J., Yu, S., Lee, Y.-Y., Park, J., Choi, R. J., Yoon, S.-J., Kang, S.-G., & Kim, V. N. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.04.030 · Cited by 99
Role of GW182 proteins and PABPC1 in the miRNA pathway: a sense of déjà vu
Tritschler, F., Huntzinger, E., & Izaurralde, E. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2885 · Cited by 98
miR‐144‐5p enhances the Radiosensitivity of non‐small‐cell lung Cancer cells via targeting ATF2
Song, L., Peng, L., Hua, S., Li, X., Ma, L., Jie, J., Chen, D., Wang, Y., & Li, D. (2018) · BioMed Research International · doi:10.1155/2018/5109497 · Cited by 93
O’TOOLE, A. S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkl428 · Cited by 92
Target RNAs Strike Back on MicroRNAs
Fuchs Wightman, F., Giono, L. E., Fededa, J. P., & de la Mata, M. (2018) · Frontiers in Genetics · doi:10.3389/fgene.2018.00435 · Cited by 92
The role of miRNA in the direct and indirect effects of ionizing radiation
Dickey, J. S., Zemp, F. J., Martin, O. A., & Kovalchuk, O. (2011) · Radiation and Environmental Biophysics · doi:10.1007/s00411-011-0386-5 · Cited by 88
miR-155-3p Drives the Development of Autoimmune Demyelination by Regulation of Heat Shock Protein 40
Mycko, M. P., Cichalewska, M., Cwiklinska, H., & Selmaj, K. W. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.2830-15.2015 · Cited by 88
Regulation of primary micro RNA processing
Creugny, A., Fender, A., & Pfeffer, S. (2018) · FEBS Letters · doi:10.1002/1873-3468.13067 · Cited by 88
Zhang, Z., Pi, J., Zou, D., Wang, X., Xu, J., Yu, S., Zhang, T., Li, F., Zhang, X., Zhao, H., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12292-5 · Cited by 87
Dicer is dispensable for asymmetric RISC loading in mammals
Betancur, J. G., & Tomari, Y. (2012) · RNA · doi:10.1261/rna.029785.111 · Cited by 84
Arm Selection Preference of MicroRNA-193a Varies in Breast Cancer
Tsai, K.-W., Leung, C.-M., Lo, Y.-H., Chen, T.-W., Chan, W.-C., Yu, S.-Y., Tu, Y.-T., Lam, H.-C., Li, S.-C., Ger, L.-P., et al. (2016) · Scientific Reports · doi:10.1038/srep28176 · Cited by 84
Huberdeau, M. Q., Zeitler, D. M., Hauptmann, J., Bruckmann, A., Fressigné, L., Danner, J., Piquet, S., Strieder, N., Engelmann, J. C., Jannot, G., et al. (2017) · The EMBO Journal · doi:10.15252/embj.201696386 · Cited by 84
Drosophila miR2 Primarily Targets the m7GpppN Cap Structure for Translational Repression
Zdanowicz, A., Thermann, R., Kowalska, J., Jemielity, J., Duncan, K. E., Preiß, T., Darżynkiewicz, E., & Hentze, M. W. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.09.009 · Cited by 79
MicroRNA-574-5p promotes metastasis of non-small cell lung cancer by targeting PTPRU
Zhou, R., Zhou, X., Yin, Z., Guo, J., Hu, T., Jiang, S., Liu, L., Dong, X., Zhang, S., & Wu, G. (2016) · Scientific Reports · doi:10.1038/srep35714 · Cited by 78
Multiple independent domains of dGW182 function in miRNA-mediated repression in Drosophila
Chekulaeva, M., Filipowicz, W., & Parker, R. (2009) · RNA · doi:10.1261/rna.1364909 · Cited by 76
AGO-bound mature miRNAs are oligouridylated by TUTs and subsequently degraded by DIS3L2
Yang, A., Shao, T.-J., Bofill-De Ros, X., Lian, C., Villanueva, P., Dai, L., & Gu, S. (2020) · Nature Communications · doi:10.1038/s41467-020-16533-w · Cited by 76
Roles of R2D2, a Cytoplasmic D2 Body Component, in the Endogenous siRNA Pathway in Drosophila
Nishida, K. M., Miyoshi, K., Ogino, A., Miyoshi, T., Siomi, H., & Siomi, M. C. (2013) · Molecular Cell · doi:10.1016/j.molcel.2012.12.024 · Cited by 75
Córdova-Rivas, S., Fraire-Soto, I., Torres, A. M.-C., Servín-González, L. S., Granados‐López, A. J., López‐Hernández, Y., Estrada, C. A. R., Hernández, R. G., Castañeda‐Delgado, J. E., Ramírez-Hernández, L. A., et al. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20030545 · Cited by 75
Feng, H., Ge, F., Du, L., Zhang, Z., & Liu, D. (2019) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.14404 · Cited by 75
R2D2 Organizes Small Regulatory RNA Pathways in Drosophila∇†
Okamura, K., Robine, N., Liu, Y., Liu, Q., & Lai, E. C. (2011) · Molecular and Cellular Biology · doi:10.1128/mcb.01141-10 · Cited by 70
Freimer, J. W., Hu, T., & Blelloch, R. (2018) · eLife · doi:10.7554/elife.38014 · Cited by 69
Novel regulation and functional interaction of polycistronic miRNAs
Truscott, M., Islam, A. B. M. M. K., & Frolov, M. V. (2015) · RNA · doi:10.1261/rna.053264.115 · Cited by 67
Ge, Y., Zhang, L., Nikolova, M., Reva, B. A., & Fuchs, E. V. (2015) · Nature Cell Biology · doi:10.1038/ncb3275 · Cited by 62
3′ RNA Uridylation in Epitranscriptomics, Gene Regulation, and Disease
Menezes, M. R., Balzeau, J., & Hagan, J. P. (2018) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2018.00061 · Cited by 62
Multilayer checkpoints for microRNA authenticity during RISC assembly
Kawamata, T., Yoda, M., & Tomari, Y. (2011) · The EMBO Reports · doi:10.1038/embor.2011.128 · Cited by 61
Lone, S. N. (2018) · Biological Chemistry · doi:10.1515/hsz-2017-0329 · Cited by 60
The RRM domain in GW182 proteins contributes to miRNA-mediated gene silencing
Eulálio, A., Tritschler, F., Büttner, R., Weichenrieder, O., Izaurralde, E., & Truffault, V. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp173 · Cited by 59
Ujihira, T., Ikeda, K., Suzuki, T., Yamaga, R., Sato, W., Horie‐Inoue, K., Shigekawa, T., Osaki, A., Saeki, T., Okamoto, K., et al. (2015) · Scientific Reports · doi:10.1038/srep07641 · Cited by 56
Warf, M. B., Johnson, W. E., & Bass, B. (2011) · RNA · doi:10.1261/rna.2432311 · Cited by 56
Kuzuoğlu‐Öztürk, D., Huntzinger, E., Schmidt, S., & Izaurralde, E. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks218 · Cited by 55
Martin, E. C., Elliott, S., Rhodes, L. V., Antoon, J. W., Fewell, C., Zhu, Y., Driver, J. L., Jodari‐Karimi, M., Taylor, C. W., Flemington, E. K., et al. (2014) · Molecular Carcinogenesis · doi:10.1002/mc.21946 · Cited by 54
Ohanian, M., Humphreys, D. T., Anderson, E., Preiss, T., & Fatkin, D. (2013) · BMC Genetics · doi:10.1186/1471-2156-14-18 · Cited by 54
Recognition of siRNA Asymmetry by TAR RNA Binding Protein
Gredell, J. A., Dittmer, M. J., Wu, M., Chan, C., & Walton, S. P. (2010) · Biochemistry · doi:10.1021/bi902189s · Cited by 50
miRNA 206 and miRNA 574-5p are highly expression in coronary artery disease
Zhou, J., Shao, G., Chen, X., Xi, Y., Huang, X., Peng, P., Ba, Y., Zhang, L., Jehangir, T., Bu, S., et al. (2015) · Bioscience Reports · doi:10.1042/bsr20150206 · Cited by 48
Hsa-miR-574-5p negatively regulates MACC-1 expression to suppress colorectal cancer liver metastasis
Cui, Z., Tang, J., Chen, J., & Wang, Z. (2014) · Cancer Cell International · doi:10.1186/1475-2867-14-47 · Cited by 46
miRNA arm switching identifies novel tumour biomarkers
Chen, L., Sun, H., Wang, C., Yang, Y., Zhang, M., & Wong, G. (2018) · eBioMedicine · doi:10.1016/j.ebiom.2018.11.003 · Cited by 44
Choi, K. H., Shin, C. H., Lee, W. J., Ji, H., & Kim, H. H. (2019) · Bioscience Reports · doi:10.1042/bsr20190634 · Cited by 42
A study of the mechanism of action of E. coli ribonuclease III
Schweitz, H., & Ebel, J. (1971) · Biochimie · doi:10.1016/s0300-9084(71)80014-7 · Cited by 41
Rules for functional microRNA targeting
Kim, D., Chang, H. R., & Baek, D. (2017) · BMB Reports · doi:10.5483/bmbrep.2017.50.11.179 · Cited by 41
Interplay between miR-574-3p and hnRNP L regulates VEGFA mRNA translation and tumorigenesis
Yao, P., Wu, J., Lindner, D. J., & Fox, P. L. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx440 · Cited by 39
NMDAR‐dependent Argonaute 2 phosphorylation regulates miRNA activity and dendritic spine plasticity
Rajgor, D., Sanderson, T. M., Amici, M., Collingridge, G. L., & Hanley, J. G. (2018) · The EMBO Journal · doi:10.15252/embj.201797943 · Cited by 39
Zinovyeva, A. Y., Bouasker, S., Simard, M. J., Hammell, C. M., & Ambros, V. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004286 · Cited by 37
Self-citationFernández-Pérez, D., Brieño-Enríquez, M. A., Isoler-Alcaraz, J., Larriba, E., & del Mazo, J. (2018) · RNA · doi:10.1261/rna.062869.117 · Cited by 37
Park, M. S., Araya-Secchi, R. R., Brackbill, J. A., Phan, H., Kehling, A. C., El-Wahab, E. W. A., Dayeh, D. M., Sotomayor, M. M., & Nakanishi, K. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.06.011 · Cited by 37
Improved siRNA/shRNA Functionality by Mismatched Duplex
Wu, H., Ma, H., Ye, C., Ramirez, D., Chen, S., Montoya, J., Shankar, P., Wang, X. A., & Manjunath, N. (2011) · PLoS ONE · doi:10.1371/journal.pone.0028580 · Cited by 36
Woldemariam, N. T., Agafonov, O., Høyheim, B., Houston, R. D., Taggart, J. B., & Andreassen, R. (2019) · Cells · doi:10.3390/cells8010042 · Cited by 34
Engineering Small Interfering RNAs by Strategic Chemical Modification
Bramsen, J. B., & Kjems, J. (2012) · Methods in molecular biology · doi:10.1007/978-1-62703-119-6_5 · Cited by 32
Thermodynamic Control of Small RNA-Mediated Gene Silencing
Ui-Tei, K., Nishi, K., Takahashi, T., & Nagasawa, T. (2012) · Frontiers in Genetics · doi:10.3389/fgene.2012.00101 · Cited by 31
Miki, T. S., Rüegger, S., Gaidatzis, D., Stadler, M. B., & Großhans, H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1418 · Cited by 29
Zinovyeva, A. Y., Veksler-Lublinsky, I., Vashisht, A. A., Wohlschlegel, J. A., & Ambros, V. R. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1506576112 · Cited by 29
Self-citationPKC-mediated survival signaling in breast carcinoma cells: A role for MEK1-AP1 signaling
Weldon, C., McKee, A., Collins-Burow, B., Melnik, L., Scandurro, A., McLachlan, J., Burow, M., & Beckman, B. (2005) · International Journal of Oncology · doi:10.3892/ijo.26.3.763 · Cited by 28
MiR223-3p promotes synthetic lethality in BRCA1-deficient cancers
Srinivasan, G., Williamson, E. A., Kong, K., Jaiswal, A. S., Huang, G., Kim, H.-S., Schärer, O., Zhao, W., Burma, S., Sung, P., et al. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1903150116 · Cited by 28
Ma, D. L., Li, J. Y., Liu, Y. E., Liu, C. M., Li, J., Lin, G. Z., & Yan, J. (2016) · PubMed · Cited by 19
Miller, S., Jones, L. E., Giovannitti, K., Piper, D., & Serra, M. J. (2008) · Nucleic Acids Research · doi:10.1093/nar/gkn525 · Cited by 16
Immediate-early alcohol-responsive miRNA expression in Drosophila
Ghezzi, A., Zomeno, M., Pietrzykowski, A. Z., & Atkinson, N. S. (2016) · Journal of Neurogenetics · doi:10.1080/01677063.2016.1252764 · Cited by 10
Unraveling 3′-end RNA uridylation at nucleotide resolution
Pirouz, M., Ebrahimi, A. G., & Gregory, R. I. (2018) · Methods · doi:10.1016/j.ymeth.2018.10.024 · Cited by 10
Xu, J.-H., Chen, R.-Z., Liu, L.-Y., Li, X.-M., Wu, C.-P., Zhou, Y.-T., Yan, J.-D., & Zhang, Z.-Y. (2021) · European Review for Medical and Pharmacological Sciences · doi:10.26355/eurrev_202105_25803 · Cited by 2
The Dicer-TRBP Interface Structure and Implications for Strand Selection During Microrna Biogenesis
Wilson, R. C., & Doudna, J. A. (2014) · Biophysical Journal · doi:10.1016/j.bpj.2013.11.2623 · Cited by 1
Change in the selection of microRNA strands during DNA damage induction
Va, T., Махоткин, М. А., Shin, E. F., Boiko, N. V., Tyutyakina, M. G., Chikunov, I. E., Набока, А. В., Mashkarina, A. N., Кирпий, А. А., & Matishov, D. G. (2016) · Doklady Biochemistry and Biophysics · doi:10.1134/s160767291602006x · Cited by 1
Fabian, M. R., & Sonenberg, N. (2012) · The FASEB Journal · doi:10.1096/fasebj.26.1_supplement.461.3 · Cited by 1
Flagged first, then by citations
Research works printed but not linked: 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
- PMC
- PMC8047885
- 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
- hybrid
- doi.org
- Licence
- 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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