Evidence map›Paper›PMID 27651888›Full record

ArticleSkeletal muscle2016

Direct reprogramming of urine-derived cells with inducible MyoD for modeling human muscle disease.

Ellis Y Kim, Patrick Page, Lisa M Dellefave-Castillo, Elizabeth M McNally, Eugene J Wyatt

Open access · goldAbstract read
In one paragraph

Article in Skeletal muscle, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

33 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  6. Generation of iPSC Cell Lines from Patients with Sex Chromosome Aneuploidies.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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  9. Review
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  11. Article
  12. CRISPR/Cas correction of muscular dystrophies.Experimental cell research · 2021
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Direct cell-fate conversion of somatic cells: Toward regenerative medicine and industries.Proceedings of the Japan Academy. Series B, Physical and biological sciences · 2020
    Review
  18. Review
  19. iPSCs: A powerful tool for skeletal muscle tissue engineering.Journal of cellular and molecular medicine · 2019
    Review
  20. Review
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

5 authors at 2 institutions in 1 country.

Ellis Y KimMolecular Pathogenesis and Molecular Medicine, The University of Chicago, Chicago, USA.
Patrick PageCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, 303 E. Superior St., Chicago, IL 60611 USA.
Lisa M Dellefave-CastilloCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, 303 E. Superior St., Chicago, IL 60611 USA.
Elizabeth M McNallyCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, 303 E. Superior St., Chicago, IL 60611 USA.
Eugene J WyattCenter for Genetic Medicine, Northwestern University Feinberg School of Medicine, 303 E. Superior St., Chicago, IL 60611 USA.
Northwestern University · USUniversity of Chicago · US

Funding

Training and education CoreU54AR052646 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI MCNALLY, ELIZABETH M, SWEENEY, H LEE · 2005 to 2020
$24.1M
Ruth L. Kirschstein National Research Service Award (NRSA) Institutional Research Training Grant (Parent T32)T32HD007009 · NICHD · UNIVERSITY OF CHICAGO · PI NANCY B SCHWARTZ · 1985 to 2026
$13.0M
SARCOGLYCAN IN MYOPATHY AND MUSCLE MEMBRANE STABILITYR01HL061322 · NHLBI · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 1999 to 2022
$7.5M
Cardiomyopathy Genomes ProjectR01HL128075 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MCNALLY, ELIZABETH M, NOBREGA, MARCELO A. · 2015 to 2023
$5.3M
NHLBI NIH HHS R01 HL061322NHLBI NIH HHS R01 HL128075NIAMS NIH HHS U54 AR052646NICHD NIH HHS T32 HD007009
6 · The paper itself

Abstract

backgroundCellular models of muscle disease are taking on increasing importance with the large number of genes and mutations implicated in causing myopathies and the concomitant need to test personalized therapies. Developing cell models relies on having an easily obtained source of cells, and if the cells are not derived from muscle itself, a robust reprogramming process is needed. Fibroblasts are a human cell source that works well for the generation of induced pluripotent stem cells, which can then be differentiated into cardiomyocyte lineages, and with less efficiency, skeletal muscle-like lineages. Alternatively, direct reprogramming with the transcription factor MyoD has been used to generate myotubes from cultured human fibroblasts. Although useful, fibroblasts require a skin biopsy to obtain and this can limit their access, especially from pediatric populations.

resultsWe now demonstrate that direct reprogramming of urine-derived cells is a highly efficient and reproducible process that can be used to establish human myogenic cells. We show that this method can be applied to urine cells derived from normal individuals as well as those with muscle diseases. Furthermore, we show that urine-derived cells can be edited using CRISPR/Cas9 technology.

conclusionsWith progress in understanding the molecular etiology of human muscle diseases, having a readily available, noninvasive source of cells from which to generate muscle-like cells is highly useful.

Indexed as

Cellular ReprogrammingMuscle DevelopmentCell Culture TechniquesCell DifferentiationCells, CulturedClone CellsClustered Regularly Interspaced Short Palindromic RepeatsGene EditingHumansMuscular DiseasesMuscular DystrophiesMyoD ProteinUrineMyoD ProteinCRISPRMuscular dystrophyMyoDMyotubesReprogrammingUrine cells

Identifiers

PMID27651888
PMCPMC5025576
OpenAlexW2519862918

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.