Evidence map›Paper›PMID 33798449›Full record

ArticleStem cell reports2021

Characterization of hiPSC-Derived Muscle Progenitors Reveals Distinctive Markers for Myogenic Cell Purification Toward Cell Therapy.

Minas Nalbandian, Mingming Zhao, Mitsuru Sasaki-Honda, Tatsuya Jonouchi, Antonio Lucena-Cacace, Takuma Mizusawa, Masahiko Yasuda, Yoshinori Yoshida, Akitsu Hotta, Hidetoshi Sakurai

Open access · goldAbstract read
In one paragraph

Article in Stem cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Induced Pluripotent Stem Cells for Tissue-Engineered Skeletal Muscles.International journal of molecular sciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

10 authors at 2 institutions in 1 country.

Minas NalbandianDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Mingming ZhaoDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: zhaoming@cira.kyoto-u.ac.jp.
Mitsuru Sasaki-HondaDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Tatsuya JonouchiDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Antonio Lucena-CacaceDepartment of Cell Growth and Differentiation, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Takuma MizusawaCentral Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821, Japan.
Masahiko YasudaCentral Institute for Experimental Animals, 3-25-12 Tonomachi, Kawasaki-ku, Kawasaki 210-0821, Japan.
Yoshinori YoshidaDepartment of Cell Growth and Differentiation, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Akitsu HottaDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan.
Hidetoshi SakuraiDepartment of Clinical Application, Center for iPS Cell Research and Application (CiRA), Kyoto University, 53 Shogoin-Kawahara-cho, Sakyo-ku, Kyoto 606-8507, Japan. Electronic address: hsakurai@cira.kyoto-u.ac.jp.
Kyoto University · JPCentral Institute for Experimental Animals · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transplantation of muscle progenitor cells (MuPCs) differentiated from human induced pluripotent stem cells (hiPSCs) is a promising approach for treating skeletal muscle diseases such as Duchenne muscular dystrophy (DMD). However, proper purification of the MuPCs before transplantation is essential for clinical application. Here, by using MYF5 hiPSC reporter lines, we identified two markers for myogenic cell purification: CDH13, which purified most of the myogenic cells, and FGFR4, which purified a subset of MuPCs. Cells purified with each of the markers showed high efficiency for regeneration after transplantation and contributed to the restoration of dystrophin expression in DMD-immunodeficient model mice. Moreover, we found that MYF5 regulates CDH13 expression by binding to the promoter regions. These findings suggest that FGFR4 and CDH13 are strong candidates for the purification of hiPSC-derived MuPCs for therapeutical application.

Indexed as

Cell- and Tissue-Based TherapyCell SeparationMuscle DevelopmentAnimalsBase SequenceBiomarkersCadherinsCell LineGene Expression RegulationGenes, ReporterInduced Pluripotent Stem CellsMice, TransgenicMuscle, SkeletalMyogenic Regulatory Factor 5PAX7 Transcription FactorReceptor, Fibroblast Growth Factor, Type 4BiomarkersCadherinsFgfr4 protein, mouseH-cadherinMyf5 protein, mouseMyogenic Regulatory Factor 5PAX7 Transcription FactorReceptor, Fibroblast Growth Factor, Type 4CDH13FGFR4iPSCmuscle stem cellskeletal musclesurface marker

Identifiers

PMID33798449
PMCPMC8072070
OpenAlexW3144235137

What OpenQuestion holds

Textmetadata
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.