Evidence map›Paper›PMID 36766703›Full record

ArticleCells2023

Efficient Muscle Regeneration by Human PSC-Derived CD82

Ning Xie, Sabrina N Chu, Cassandra B Schultz, Sunny S K Chan

Open access · goldAbstract read
In one paragraph

Article in Cells, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Frontiers in cell and developmental biology · 2024
    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

4 authors at 1 institution in 1 country.

Ning XieDepartment of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.
Sabrina N ChuDepartment of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.
Cassandra B SchultzDepartment of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.
Sunny S K ChanDepartment of Pediatrics, University of Minnesota, Minneapolis, MN 55455, USA.ORCID 0000-0003-1432-7381
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiation of pluripotent stem cells (PSCs) is a promising approach to obtaining large quantities of skeletal myogenic progenitors for disease modeling and cell-based therapy. However, generating skeletal myogenic cells with high regenerative potential is still challenging. We recently reported that skeletal myogenic progenitors generated from mouse PSC-derived teratomas possess robust regenerative potency. We have also found that teratomas derived from human PSCs contain a skeletal myogenic population. Here, we showed that these human PSC-derived skeletal myogenic progenitors had exceptional engraftability. A combination of cell surface markers, CD82, ERBB3, and NGFR enabled efficient purification of skeletal myogenic progenitors. These cells expressed PAX7 and were able to differentiate into MHC+ multinucleated myotubes. We further discovered that these cells are expandable in vitro. Upon transplantation, the expanded cells formed new dystrophin

Indexed as

Pluripotent Stem CellsSatellite Cells, Skeletal MuscleTeratomaAnimalsCell DifferentiationHumansKangai-1 ProteinMiceMuscle Fibers, SkeletalNerve Tissue ProteinsReceptor, ErbB-3Receptors, Nerve Growth FactorCD82 protein, humanERBB3 protein, humanKangai-1 ProteinNerve Tissue ProteinsNGFR protein, humanReceptor, ErbB-3Receptors, Nerve Growth Factorcell therapymuscle stem cellsmuscular dystrophymyogenic differentiationpluripotent stem cellstransplantation

Identifiers

PMID36766703
PMCPMC9913306
OpenAlexW4317425226

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.