Evidence map›Paper›PMID 23091358›Full record

ReviewJournal of biomedicine & biotechnology2012

Controlling self-renewal and differentiation of stem cells via mechanical cues.

Michele M Nava, Manuela T Raimondi, Riccardo Pietrabissa

Open access · hybridAbstract readReview
In one paragraph

Review in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 1 pooled it
7.3field-weighted citation impact, top 2% 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

99 citing papers in PubMed, 1 synthesis or guideline pooled it, 225 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  7. Article
  8. Article
  9. Review
  10. Review
  11. Unlocking the Potential of Stem Cell Microenvironments In Vitro.Bioengineering (Basel, Switzerland) · 2024
    Review
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. OScience advances · 2023
    Article

39 more citing papers are in PubMed but not listed here.

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 at 1 institution in 1 country.

Michele M NavaLaBS, Department of Structural Engineering, Politecnico di Milano, 20133 Milano, Italy. nava@stru.polimi.it
Manuela T Raimondi
Riccardo Pietrabissa
Politecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The control of stem cell response in vitro, including self-renewal and lineage commitment, has been proved to be directed by mechanical cues, even in the absence of biochemical stimuli. Through integrin-mediated focal adhesions, cells are able to anchor onto the underlying substrate, sense the surrounding microenvironment, and react to its properties. Substrate-cell and cell-cell interactions activate specific mechanotransduction pathways that regulate stem cell fate. Mechanical factors, including substrate stiffness, surface nanotopography, microgeometry, and extracellular forces can all have significant influence on regulating stem cell activities. In this paper, we review all the most recent literature on the effect of purely mechanical cues on stem cell response, and we introduce the concept of "force isotropy" relevant to cytoskeletal forces and relevant to extracellular loads acting on cells, to provide an interpretation of how the effects of insoluble biophysical signals can be used to direct stem cells fate in vitro.

Indexed as

AnimalsCell CommunicationCell Culture TechniquesCell DifferentiationHumansMechanotransduction, CellularRegenerationStem Cells

Identifiers

PMID23091358
PMCPMC3471035
OpenAlexW1977291770

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.