Evidence map›Paper›PMID 42511605›Full record

ReviewInternational journal of molecular sciences2026

Monoallelic Gene Expression: Stochastic or Clonal? From Detection to Mechanisms and Clinical Significance.

Olga A Zemlianaia, Vladimir V Strelnikov, Dmitry V Zaletaev, Marina V Nemtsova

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 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

4 authors.

Olga A ZemlianaiaResearch Centre for Medical Genetics, 115522 Moscow, Russia.
Vladimir V StrelnikovResearch Centre for Medical Genetics, 115522 Moscow, Russia.ORCID 0000-0001-9283-902X
Dmitry V ZaletaevResearch Centre for Medical Genetics, 115522 Moscow, Russia.ORCID 0000-0002-9323-2673
Marina V NemtsovaResearch Centre for Medical Genetics, 115522 Moscow, Russia.

Funding

The Ministry of Education and Science of the Russian Federation 122032300334-3
6 · The paper itself

Abstract

There are several forms of monoallelic expression, in which the 50:50 ratio in the expression activity of each of the two copies of the gene is disrupted. This review focuses on the phenomenon of random autosomal monoallelic expression (aRME), a process in which only one of the two alleles is transcribed in a single cell, and the allele choice is not determined by the parental origin. One of the central problems in studying this phenomenon is the differentiation of the two forms of aRME: clonal, in which the expression pattern is mitotically inherited, and stochastic, when the allele choice can change over time due to transcriptional bursting. Distinguishing these events is methodologically challenging: divergent experimental approaches and the lack of standardized detection criteria have produced strikingly contradictory estimates of aRME prevalence. Furthermore, single-cell transcriptomic approaches are particularly susceptible to technical artefacts that can generate false-positive monoallelic calls, complicating the distinction between heritable and transient states. In this review, we critically evaluate the evidence for clonal and stochastic aRME, examine the epigenetic mechanisms proposed to maintain monoallelic expression, and discuss its clinical significance, focusing on the role of monoallelic expression in the penetrance of autosomal dominant diseases (including congenital immune disorders and cardiomyopathy), neurodevelopmental disorders, and cancer progression.

Indexed as

AllelesGene Expression RegulationAnimalsEpigenesis, GeneticHumansStochastic ProcessesDNA methylationhistone modificationsmonoallelic expression

Identifiers

PMID42511605
PMCPMC13410931

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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.