Evidence map›Paper›PMID 30239883›Full record

ArticleNucleic acids research2018

The sequence features that define efficient and specific hAGO2-dependent miRNA silencing guides.

Yifei Yan, Mariana Acevedo, Lian Mignacca, Philippe Desjardins, Nicolas Scott, Roqaya Imane, Jordan Quenneville, Julie Robitaille, Albert Feghaly, Etienne Gagnon and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. License to slice: duplex deformation gates Argonaute catalysis.Nature structural & molecular biology · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. miRNA Targeting: Growing beyond the Seed.Trends in genetics : TIG · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yifei YanDépartement de biochimie et médecine moléculaire, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Mariana AcevedoDépartement de biochimie et médecine moléculaire, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Lian MignaccaDépartement de biochimie et médecine moléculaire, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Philippe DesjardinsInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Nicolas ScottInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Roqaya ImaneInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Jordan QuennevilleInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Julie RobitailleDépartement de biochimie et médecine moléculaire, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Albert FeghalyInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Etienne GagnonInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.
Gerardo FerbeyreDépartement de biochimie et médecine moléculaire, Université de Montréal, Montréal, Québec H3C 3J7, Canada.
François MajorInstitut de recherche en immunologie et en cancérologie (IRIC), Université de Montréal, Montréal, Québec H3C 3J7, Canada.

Funding

Computational prediction of RNA 3D structure using low resolution data and a newR01GM088813 · NIGMS · UNIVERSITY OF MONTREAL · PI MAJOR, FRANCOIS · 2010 to 2014
$778k
NIGMS NIH HHS R01 GM088813
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are ribonucleic acids (RNAs) of ∼21 nucleotides that interfere with the translation of messenger RNAs (mRNAs) and play significant roles in development and diseases. In bilaterian animals, the specificity of miRNA targeting is determined by sequence complementarity involving the seed. However, the role of the remaining nucleotides (non-seed) is only vaguely defined, impacting negatively on our ability to efficiently use miRNAs exogenously to control gene expression. Here, using reporter assays, we deciphered the role of the base pairs formed between the non-seed region and target mRNA. We used molecular modeling to reveal that this mechanism corresponds to the formation of base pairs mediated by ordered motions of the miRNA-induced silencing complex. Subsequently, we developed an algorithm based on this distinctive recognition to predict from sequence the levels of mRNA downregulation with high accuracy (r2 > 0.5, P-value < 10-12). Overall, our discovery improves the design of miRNA-guide sequences used to simultaneously downregulate the expression of multiple predetermined target genes.

Indexed as

Argonaute ProteinsGene Expression RegulationGene SilencingHumansMicroRNAsModels, MolecularNucleotidesProtein ConformationRNA, MessengerAGO2 protein, humanArgonaute ProteinsMicroRNAsNucleotidesRNA, Messenger

Identifiers

PMID30239883
PMCPMC6144789

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.