Evidence map›Paper›PMID 33116115›Full record

ArticleNature communications2020

Nuclear gene proximity and protein interactions shape transcript covariations in mammalian single cells.

Marcel Tarbier, Sebastian D Mackowiak, João Frade, Silvina Catuara-Solarz, Inna Biryukova, Eleni Gelali, Diego Bárcena Menéndez, Luis Zapata, Stephan Ossowski, Magda Bienko and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. 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
1.8field-weighted citation impact, top 15% 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

21 citing papers in PubMed, 33 citations in OpenAlex.

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  9. Molecular models of bidirectional promoter regulation.Current opinion in structural biology · 2024
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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

12 authors at 6 institutions in 4 countries.

Marcel TarbierScience for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-0556-2531
Sebastian D MackowiakScience for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
João FradeCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.ORCID 0000-0003-3961-7641
Silvina Catuara-SolarzCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Inna BiryukovaScience for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.ORCID 0000-0003-0701-2808
Eleni GelaliScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0003-0067-5473
Diego Bárcena MenéndezCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Luis ZapataCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.ORCID 0000-0002-1386-2019
Stephan OssowskiCentre for Genomic Regulation (CRG), The Barcelona Institute for Science and Technology, Barcelona, Spain.
Magda BienkoScience for Life Laboratory, Department of Medical Biochemistry and Biophysics, Karolinska Institute, Stockholm, Sweden.ORCID 0000-0002-6499-9082
Caroline J GallantDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Marc R FriedländerScience for Life Laboratory, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden. marc.friedlander@scilifelab.se.ORCID 0000-0001-6577-4363
Stockholm University · SEBarcelona Institute of Science and Technology · ESScience for Life Laboratory · SEInstitute of Cancer Research · GBUniversitat Pompeu Fabra · ESUppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell RNA sequencing studies on gene co-expression patterns could yield important regulatory and functional insights, but have so far been limited by the confounding effects of differentiation and cell cycle. We apply a tailored experimental design that eliminates these confounders, and report thousands of intrinsically covarying gene pairs in mouse embryonic stem cells. These covariations form a network with biological properties, outlining known and novel gene interactions. We provide the first evidence that miRNAs naturally induce transcriptome-wide covariations and compare the relative importance of nuclear organization, transcriptional and post-transcriptional regulation in defining covariations. We find that nuclear organization has the greatest impact, and that genes encoding for physically interacting proteins specifically tend to covary, suggesting importance for protein complex formation. Our results lend support to the concept of post-transcriptional RNA operons, but we further present evidence that nuclear proximity of genes may provide substantial functional regulation in mammalian single cells.

Indexed as

Gene Regulatory NetworksProtein Interaction MapsAnimalsCell LineCell NucleusGene Expression ProfilingGene Expression RegulationGene Knockout TechniquesGenetic VariationMiceMicroRNAsMouse Embryonic Stem CellsRibonuclease IIIRNA-SeqSingle-Cell AnalysisTranscription FactorsDrosha protein, mouseMicroRNAsRibonuclease IIITranscription Factors

Identifiers

PMID33116115
PMCPMC7595044
OpenAlexW3096439236

What OpenQuestion holds

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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.