Evidence map›Paper›PMID 33443070›Full record

ReviewJournal of cell science2020

Notch in mechanotransduction - from molecular mechanosensitivity to tissue mechanostasis.

Oscar M J A Stassen, Tommaso Ristori, Cecilia M Sahlgren

Open access · bronzeAbstract readReview
In one paragraph

Review in Journal of cell science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed
4.5field-weighted citation impact, top 4% 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

45 citing papers in PubMed, 74 citations in OpenAlex.

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  15. YAP/TAZ drives Notch and angiogenesis mechanoregulation in silico.NPJ systems biology and applications · 2024
    Article
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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 2 institutions in 3 countries.

Oscar M J A StassenFaculty of Science and Engineering, Biosciences, Åbo Akademi University, 20500 Turku, Finland.ORCID 0000-0001-7485-0903
Tommaso RistoriDepartment of Biomedical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.ORCID 0000-0002-2800-0067
Cecilia M SahlgrenFaculty of Science and Engineering, Biosciences, Åbo Akademi University, 20500 Turku, Finland cecilia.sahlgren@abo.fi.ORCID 0000-0003-3350-4937
Åbo Akademi University · FIBoston University · US

Funding

European Research Council 771168
6 · The paper itself

Abstract

Tissue development and homeostasis are controlled by mechanical cues. Perturbation of the mechanical equilibrium triggers restoration of mechanostasis through changes in cell behavior, while defects in these restorative mechanisms lead to mechanopathologies, for example, osteoporosis, myopathies, fibrosis or cardiovascular disease. Therefore, sensing mechanical cues and integrating them with the biomolecular cell fate machinery is essential for the maintenance of health. The Notch signaling pathway regulates cell and tissue fate in nearly all tissues. Notch activation is directly and indirectly mechanosensitive, and regulation of Notch signaling, and consequently cell fate, is integral to the cellular response to mechanical cues. Fully understanding the dynamic relationship between molecular signaling, tissue mechanics and tissue remodeling is challenging. To address this challenge, engineered microtissues and computational models play an increasingly large role. In this Review, we propose that Notch takes on the role of a 'mechanostat', maintaining the mechanical equilibrium of tissues. We discuss the reciprocal role of Notch in the regulation of tissue mechanics, with an emphasis on cardiovascular tissues, and the potential of computational and engineering approaches to unravel the complex dynamic relationship between mechanics and signaling in the maintenance of cell and tissue mechanostasis.

Indexed as

Mechanotransduction, CellularSignal TransductionCell DifferentiationHomeostasisReceptors, NotchReceptors, NotchCardiovascular mechanicsComputational modelingEngineered model systemsMechanotransductionNotch signaling

Identifiers

PMID33443070
PMCPMC7610839
OpenAlexW3115711064

What OpenQuestion holds

Textmetadata
LicenceTDM
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.