Evidence map›Paper›PMID 39827321›Full record

ArticleCommunications biology2025

Inferring single-cell and spatial microRNA activity from transcriptomics data.

Efrat Herbst, Yael Mandel-Gutfreund, Zohar Yakhini, Hadas Biran

Abstract read
In one paragraph

Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

4 authors.

Efrat HerbstArazi School of Computer Science, Reichman University, Herzliya, Israel. efiherbst@gmail.com.ORCID http://orcid.org/0009-0000-9261-3637
Yael Mandel-GutfreundComputer Science Department, Technion - Israel Institute of Technology, Haifa, Israel.ORCID http://orcid.org/0000-0002-8946-8237
Zohar YakhiniArazi School of Computer Science, Reichman University, Herzliya, Israel.ORCID http://orcid.org/0000-0002-0420-5412
Hadas BiranComputer Science Department, Technion - Israel Institute of Technology, Haifa, Israel.ORCID http://orcid.org/0000-0002-1739-1170

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The activity of miRNA varies across different cell populations and systems, as part of the mechanisms that distinguish cell types and roles in living organisms and in human health and disease. Typically, miRNA regulation drives changes in the composition and levels of protein-coding RNA and of lncRNA, with targets being down-regulated when miRNAs are active. The term "miRNA activity" is used to refer to this transcriptional effect of miRNAs. This study introduces miTEA-HiRes, a method designed to facilitate the evaluation of miRNA activity at high resolution. The method applies to single-cell transcriptomics, type-specific single-cell populations, and spatial transcriptomics data. By comparing different conditions, differential miRNA activity is inferred. For instance, miTEA-HiRes analysis of peripheral blood mononuclear cells comparing Multiple Sclerosis patients to control groups revealed differential activity of miR-20a-5p and others, consistent with the literature on miRNA underexpression in Multiple Sclerosis. We also show miR-519a-3p differential activity in specific cell populations.

Indexed as

Gene Expression ProfilingMicroRNAsSingle-Cell AnalysisTranscriptomeGene Expression RegulationHumansLeukocytes, MononuclearMultiple SclerosisMicroRNAs

Identifiers

PMID39827321
PMCPMC11743151

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Registered trials

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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.