Evidence map›Paper›PMID 31988126›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Modeling the transport of nuclear proteins along single skeletal muscle cells.

Hermes Taylor-Weiner, Christopher L Grigsby, Duarte M S Ferreira, José M Dias, Molly M Stevens, Jorge L Ruas, Ana I Teixeira

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

19 citing papers in PubMed, 33 citations in OpenAlex.

  1. Review
  2. Article
  3. Myospreader improves gene editing in skeletal muscle by myonuclear propagation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Article
  5. Exercise metabolism and adaptation in skeletal muscle.Nature reviews. Molecular cell biology · 2023
    Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Review
  11. Article
  12. Article
  13. Fusion and beyond: Satellite cell contributions to loading-induced skeletal muscle adaptation.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
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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

7 authors at 1 institution in 2 countries.

Hermes Taylor-WeinerDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 65 Stockholm, Sweden.
Christopher L GrigsbyDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 65 Stockholm, Sweden.ORCID 0000-0002-0105-3847
Duarte M S FerreiraMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, 171 65 Stockholm, Sweden.ORCID 0000-0001-5940-7102
José M DiasDepartment of Cell and Molecular Biology, Karolinska Institutet, 171 65 Stockholm, Sweden.ORCID 0000-0002-1402-0323
Molly M StevensDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 65 Stockholm, Sweden.
Jorge L RuasMolecular and Cellular Exercise Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, 171 65 Stockholm, Sweden.ORCID 0000-0002-1110-2606
Ana I TeixeiraDepartment of Medical Biochemistry and Biophysics, Karolinska Institutet, 171 65 Stockholm, Sweden; ana.teixeira@ki.se.
Karolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle cells contain hundreds of myonuclei within a shared cytoplasm, presenting unique challenges for regulating gene expression. Certain transcriptional programs (e.g., postsynaptic machinery) are segregated to specialized domains, while others (e.g., contractile proteins) do not show spatial confinement. Furthermore, local stimuli, such as denervation, can induce transcriptional responses that are propagated along the muscle cells. Regulated transport of nuclear proteins (e.g., transcription factors) between myonuclei represents a potential mechanism for coordinating gene expression. However, the principles underlying the transport of nuclear proteins within multinucleated cells remain poorly defined. Here we used a mosaic transfection model to create myotubes that contained exactly one myonucleus expressing a fluorescent nuclear reporter and monitored its distribution among all myonuclei. We found that the transport properties of these model nuclear proteins in myotubes depended on molecular weight and nuclear import rate, as well as on myotube width. Interestingly, muscle hypertrophy increased the transport of high molecular weight nuclear proteins, while atrophy restricted the transport of smaller nuclear proteins. We have developed a mathematical model of nuclear protein transport within a myotube that recapitulates the results of our in vitro experiments. To test the relevance to nuclear proteins expressed in skeletal muscle, we studied the transport of two transcription factors-aryl hydrocarbon receptor nuclear translocator and sine oculis homeobox 1-and found that their distributions were similar to the reporter proteins with corresponding molecular weights. Together, these results define a set of variables that can be used to predict the spatial distributions of nuclear proteins within a myotube.

Indexed as

AnimalsCells, CulturedHomeodomain ProteinsKineticsMiceMuscle Fibers, SkeletalMuscle, SkeletalMyoblastsNuclear ProteinsProtein TransportReceptors, Aryl HydrocarbonHomeodomain ProteinsNuclear ProteinsReceptors, Aryl HydrocarbonSix1 protein, mousemathematical modelmyonuclear domainnuclear transportskeletal muscle

Identifiers

PMID31988126
PMCPMC7022209
OpenAlexW3004379484

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.