Evidence map›Paper›PMID 34527215›Full record

ArticleF1000Research2021

MIREyA: a computational approach to detect miRNA-directed gene activation.

Anna Elizarova, Mumin Ozturk, Reto Guler, Yulia A Medvedeva

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 64% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

4 authors at 2 institutions in 2 countries.

Anna ElizarovaGroup of Regulatory Transcriptomics and Epigenomics, Research Center of Biotechnology, Institute of Bioengineering, Russian Academy of Sciences, Moscow, 117312, Russian Federation.ORCID 0000-0001-6114-2967
Mumin OzturkInternational Centre for Genetic Engineering and Biotechnology, Cape Town, Cape Town, 7925, South Africa.
Reto GulerInternational Centre for Genetic Engineering and Biotechnology, Cape Town, Cape Town, 7925, South Africa.
Yulia A MedvedevaGroup of Regulatory Transcriptomics and Epigenomics, Research Center of Biotechnology, Institute of Bioengineering, Russian Academy of Sciences, Moscow, 117312, Russian Federation.
Russian Academy of Sciences · RUSouth African Medical Research Council · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emerging studies demonstrate the ability of microRNAs (miRNAs) to activate genes via different mechanisms. Specifically, miRNAs may trigger an enhancer promoting chromatin remodelling in the enhancer region, thus activating the enhancer and its target genes. Here we present MIREyA, a pipeline developed to predict such miRNA-gene-enhancer trios based on an expression dataset which obviates the need to write custom scripts. We applied our pipeline to primary murine macrophages infected by

Indexed as

MicroRNAsMycobacterium tuberculosisAnimalsMacrophagesMiceRegulatory Sequences, Nucleic AcidTranscriptional ActivationMicroRNAsMIRN222 microRNA, mouseenhancermacrophagemicroRNAmiRNAnon-coding RNAregulatortuberculosis

Identifiers

PMID34527215
PMCPMC8411277
OpenAlexW3141784085

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.