ReviewBiophysical reviews2021
Tools for studying and modulating (cardiac muscle) cell mechanics and mechanosensing across the scales.
Review in Biophysical reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
The trial behind it
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Who cites it
13 citing papers in PubMed, 18 citations in OpenAlex.
- Mechanobiology of the diabetic cardiomyocyte: insulin signaling, titin elasticity, and multiscale mechanical dysfunction.Biophysical reviews · 2026Review
- High-Throughput Methods for Variant Functional Assessment in Cardiac Disease.Circulation. Genomic and precision medicine · 2026Review
- Mitochondrial Adaptation to Mechanical Stress in Cardiac Ageing and Disease.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Role of the extracellular matrix in cardiac ageing.Nature materials · 2025Article
- Autophagy as a Guardian of Vascular Niche Homeostasis.International journal of molecular sciences · 2024Review
- Cardiovascular Mechano-Epigenetics: Force-Dependent Regulation of Histone Modifications and Gene Regulation.Cardiovascular drugs and therapy · 2024Article
- Sibjotang Protects against Cardiac Hypertrophy In Vitro and In Vivo.Life (Basel, Switzerland) · 2023Article
- Induced pluripotent stem cell-derived cardiomyocytes-more show than substance?Biophysical reviews · 2023Review
- Cellular reprogramming of fibroblasts in heart regeneration.Journal of molecular and cellular cardiology · 2023Review
- Simultaneous assessment of radial and axial myocyte mechanics by combining atomic force microscopy and carbon fibre techniques.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022Article
- Editors' roundup: October 2022.Biophysical reviews · 2022Article
- Pressure and stiffness sensing together regulate vascular smooth muscle cell phenotype switching.Science advances · 2022Article
- Cardiovascular mechanobiology-a Special Issue to look at the state of the art and the newest insights into the role of mechanical forces in cardiovascular development, physiology and disease.Biophysical reviews · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cardiomyocytes generate force for the contraction of the heart to pump blood into the lungs and body. At the same time, they are exquisitely tuned to the mechanical environment and react to e.g. changes in cell and extracellular matrix stiffness or altered stretching due to reduced ejection fraction in heart disease, by adapting their cytoskeleton, force generation and cell mechanics. Both mechanical sensing and cell mechanical adaptations are multiscale processes. Receptor interactions with the extracellular matrix at the nanoscale will lead to clustering of receptors and modification of the cytoskeleton. This in turn alters mechanosensing, force generation, cell and nuclear stiffness and viscoelasticity at the microscale. Further, this affects cell shape, orientation, maturation and tissue integration at the microscale to macroscale. A variety of tools have been developed and adapted to measure cardiomyocyte receptor-ligand interactions and forces or mechanics at the different ranges, resulting in a wealth of new information about cardiomyocyte mechanobiology. Here, we take stock at the different tools for exploring cardiomyocyte mechanosensing and cell mechanics at the different scales from the nanoscale to microscale and macroscale.
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Registered trials
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.