Evidence map›Paper›PMID 41749322›Full record

ArticleGenome biology2026

RIMap-RISC: a transcriptome-wide database of structurally modeled human microRNA interactions.

Simon Chasles, Zakary Gaillard-Duchassin, Jordan Quenneville, Mélanie Lemaire, Etienne Gagnon, François Major

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Genome biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Simon ChaslesInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Zakary Gaillard-DuchassinInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Jordan QuennevilleInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Mélanie LemaireInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
Etienne GagnonInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada.
François MajorInstitute for Research in Immunology and Cancer, Université de Montréal, Montreal, QC, H3C 3J7, Canada. Francois.Major@UMontreal.CA.

Funding

CIHR RN526126Google for Education scholarshipNatural Sciences and Engineering Research Council of Canada Discovery
6 · The paper itself

Abstract

RIMap-RISC is a web-accessible database for transcriptome-wide modeling of human microRNA (miRNA) targeting. It computes plausible transcript-miRNA interactions and records their position, duplex secondary structure, free energy, site classification, dissociation constant, target accessibility, and evolutionary conservation. RIMap-RISC supports transcript-wide queries and allows users to explore and export interaction data through an interactive interface or RESTful API programmatic access. Unlike existing tools, RIMap-RISC integrates duplex-structure prediction within a biophysical framework modeling the bipartite architecture of RISC, accommodating a bridge between seed and supplementary pairing. A novel, unambiguous, miRNA-centric nomenclature for interaction types is also introduced.

Indexed as

Databases, GeneticMicroRNAsTranscriptomeHumansNucleic Acid ConformationSoftwareMicroRNAsComputational RNA biologyDissociation constantsMicroRNA targetingNon-canonical interactionsPost-transcriptional regulationRNA accessibilityRNA duplex structureRNA regulonsTranscriptome-wide analysis

Identifiers

PMID41749322
PMCPMC13040907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.