Evidence map›Paper›PMID 33690599›Full record

ArticlePLoS computational biology2021

Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance.

Anton J M Larsson, Christoph Ziegenhain, Michael Hagemann-Jensen, Björn Reinius, Tina Jacob, Tim Dalessandri, Gert-Jan Hendriks, Maria Kasper, Rickard Sandberg

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 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

9 authors.

Anton J M LarssonDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5876-7763
Christoph ZiegenhainDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0003-2208-4877
Michael Hagemann-JensenDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6423-8216
Björn ReiniusDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7021-5248
Tina JacobDepartment of Biosciences and Nutrition, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-7180-2698
Tim DalessandriDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-5690-295X
Gert-Jan HendriksDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8798-1443
Maria KasperDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0002-6117-2717
Rickard SandbergDepartment of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-6473-1740

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional bursts render substantial biological noise in cellular transcriptomes. Here, we investigated the theoretical extent of allelic expression resulting from transcriptional bursting and how it compared to the amount biallelic, monoallelic and allele-biased expression observed in single-cell RNA-sequencing (scRNA-seq) data. We found that transcriptional bursting can explain the allelic expression patterns observed in single cells, including the frequent observations of autosomal monoallelic gene expression. Importantly, we identified that the burst frequency largely determined the fraction of cells with monoallelic expression, whereas the burst size had little effect on monoallelic observations. The high consistency between the bursting model predictions and scRNA-seq observations made it possible to assess the heterogeneity of a group of cells as their deviation in allelic observations from the expected. Finally, both burst frequency and size contributed to allelic imbalance observations and reinforced that studies of allelic imbalance can be confounded from the inherent noise in transcriptional bursting. Altogether, we demonstrate that allele-level transcriptional bursting renders widespread, although predictable, amounts of monoallelic and biallelic expression in single cells and cell populations.

Indexed as

Allelic ImbalanceAnimalsFemaleMaleMiceModels, GeneticSequence Analysis, RNASingle-Cell AnalysisTranscription, GeneticTranscriptome

Identifiers

PMID33690599
PMCPMC7978379

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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.