Evidence map›Paper›PMID 24150600›Full record

ReviewJournal of muscle research and cell motility2013

In vitro myoblast motility models: investigating migration dynamics for the study of skeletal muscle repair.

K P Goetsch, K H Myburgh, Carola U Niesler

Abstract readReview
PubMed Publisher
In one paragraph

Review in Journal of muscle research and cell motility, 2013. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
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  12. Review
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  14. Review
  15. MMP-14 in skeletal muscle repair.Journal of muscle research and cell motility · 2015
    Review
  16. Article
  17. Article
  18. Article
  19. Clarifying misconceptions about myoblast transplantation in myology.Molecular therapy : the journal of the American Society of Gene Therapy · 2014
    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

3 authors.

K P GoetschDiscipline of Biochemistry, School of Life Sciences, University of KwaZulu-Natal, Scottsville, Private Bag X01, Pietermaritzburg, 3209, South Africa.
K H Myburgh
Carola U Niesler

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Skeletal muscle repair requires the migration of myoblasts (activated satellite cells) both to the injury site and then within the wound to facilitate cellular alignment in preparation for differentiation, fusion and eventual healing. Along this journey, the cells encounter a range of soluble and extracellular matrix factors which regulate their movement and ultimately determine how successful the repair process will be. Sub-optimal migration can lead to a number of scenarios, including reduced myoblast numbers entering the wound, poor alignment and insufficient differentiation to correctly repair the damage. It is therefore critical that all aspects of myoblast migration are understood, particularly in response to the changing growth and matrix factor profile prevalent following skeletal muscle injury. Since 1962, when Boyden first introduced his chemotactic chamber, numerous in vitro migration assays have been developed to mimic the wound more closely. These have increased in complexity to account for the complex micro-environment found in vivo during muscle repair and include a range of modified cell exclusion, chemotactic and three-dimensional assays. This review describes and discusses these advances and highlights the importance they have in expanding our understanding of myoblast migration dynamics.

Indexed as

AnimalsCell DifferentiationCell MovementHumansMuscle, SkeletalMyoblasts

Identifiers

What OpenQuestion holds

Textmetadata
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.