Evidence map›Paper›PMID 35137158›Full record

ArticleNucleic acids research2022

Prediction and pan-cancer analysis of mammalian transcripts involved in target directed miRNA degradation.

Ines Simeone, Carmela Rubolino, Teresa Maria Rosaria Noviello, Diego Farinello, Luigi Cerulo, Matteo Jacopo Marzi, Francesco Nicassio

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  3. Genes & development · 2026
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  7. Widespread destabilization ofRNA (New York, N.Y.) · 2024
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  8. Article
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  10. A miR-383-5p Signaling Hub Coordinates the Axon Regeneration Response to Inflammation.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  11. Review
  12. Article
  13. Article
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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

7 authors at 3 institutions in 1 country.

Ines SimeoneCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT)-Via Adamello 16, 20139 Milan, Italy.
Carmela RubolinoCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT)-Via Adamello 16, 20139 Milan, Italy.
Teresa Maria Rosaria NovielloDepartment of Electrical Engineering and Information Technology, University of Naples "Federico II", Via Claudio 21, Naples 80128, Italy.
Diego FarinelloCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT)-Via Adamello 16, 20139 Milan, Italy.
Luigi CeruloDep. of Science and Technology, University of Sannio, via de Sanctis, 11, Benevento 82100, Italy.
Matteo Jacopo MarziCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT)-Via Adamello 16, 20139 Milan, Italy.
Francesco NicassioCenter for Genomic Science of IIT@SEMM, Istituto Italiano di Tecnologia (IIT)-Via Adamello 16, 20139 Milan, Italy.
Italian Institute of Technology · ITBiogem · ITUniversity of Naples Federico II · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It is currently unknown how many RNA transcripts are able to induce degradation of microRNAs (miRNA) via the mechanism known as target-directed miRNA degradation (TDMD). We developed TDMDfinder, a computational pipeline that identifies 'high confidence' TDMD interactions in the Human and Mouse transcriptomes by combining sequence alignment and feature selection approaches. Our predictions suggested that TDMD is widespread, with potentially every miRNA controlled by endogenous targets. We experimentally tested 37 TDMDfinder predictions, of which 17 showed TDMD effects as measured by RT-qPCR and small RNA sequencing, linking the miR-17, miR-19, miR-30, miR-221, miR-26 and miR-23 families to novel endogenous TDMDs. In some cases, TDMD was found to affect different members of the same miRNA family selectively. Features like complementarity to the miRNA 3' region, bulge size and hybridization energy appeared to be the main factors determining sensitivity. Computational analyses performed using the multiomic TCGA platform substantiated the involvement of many TDMD transcripts in human cancer and highlighted 36 highly significant interactions, suggesting TDMD as a new potential oncogenic mechanism. In conclusion, TDMDfinder provides the first inventory of bona fide human and mouse TDMDs. Available as a free webtool, TDMDfinder allows users to search for any TDMD interaction of interest by customizing its selection criteria.

Indexed as

MicroRNAsNeoplasmsAnimalsHumansMammalsMiceOncogenesRNA StabilitySequence Analysis, RNAMicroRNAs

Identifiers

PMID35137158
PMCPMC8887481
OpenAlexW4210551807

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.