Evidence map›Paper›PMID 28717411›Full record

ReviewWorld journal of stem cells2017

Skeletal muscle generated from induced pluripotent stem cells - induction and application.

Yuko Miyagoe-Suzuki, Shin'ichi Takeda

Abstract readReview
In one paragraph

Review in World journal of stem cells, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
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  6. Review
  7. Review
  8. Stem Cell Aging in Skeletal Muscle Regeneration and Disease.International journal of molecular sciences · 2020
    Review
  9. iPSCs: A powerful tool for skeletal muscle tissue engineering.Journal of cellular and molecular medicine · 2019
    Review
  10. 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

2 authors at 1 institution in 1 country.

Yuko Miyagoe-SuzukiYuko Miyagoe-Suzuki, Shin'ichi Takeda, Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8502, Japan.
Shin'ichi TakedaYuko Miyagoe-Suzuki, Shin'ichi Takeda, Department of Molecular Therapy, National Institute of Neuroscience, National Center of Neurology and Psychiatry, Kodaira, Tokyo 187-8502, Japan.
National Center of Neurology and Psychiatry · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human induced pluripotent stem cells (hiPS cells or hiPSCs) can be derived from cells of patients with severe muscle disease. If skeletal muscle induced from patient-iPSCs shows disease-specific phenotypes, it can be useful for studying the disease pathogenesis and for drug development. On the other hand, human iPSCs from healthy donors or hereditary muscle disease-iPSCs whose genomes are edited to express normal protein are expected to be a cell source for cell therapy. Several protocols for the derivation of skeletal muscle from human iPSCs have been reported to allow the development of efficient treatments for devastating muscle diseases. In 2017, the focus of research is shifting to another stage: (1) the establishment of mature myofibers that are suitable for study of the pathogenesis of muscle disease; (2) setting up a high-throughput drug screening system; and (3) the preparation of highly regenerative, non-oncogenic cells in large quantities for cell transplantation,

Indexed as

DiseaseHuman induced pluripotent stem cellsModelingMuscle progenitorsMuscular dystrophyMYODSkeletal muscleTransplantation

Identifiers

PMID28717411
PMCPMC5491631
OpenAlexW2764008201

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.