Metabolic labelling reveals complex proteome dynamics in tendon, with faster turnover of proteins in the glycoprotein-rich interfascicular matrix compared to the collagen-rich fascicular matrix.
Quantitative experiments and theory show that the tension-dependent regulation of NDC80 binding to kinetochore microtubules arises from a combination of the changing Aurora B concentration at NDC80 and the nonlinearity of Aurora B autoactivation.
A novel Bayesian method of modeling retinotopic maps is more accurate than traditional voxel-wise methods and can be used to automatically derive high-quality maps.
A quantitative understanding of molecular tension sensor function enables the production of unique sensors with desired mechanical properties as well as the ability to distinguish between protein force and protein deformation in mechanosensitive processes.
Competition between adhesive and tensile forces regulates axon fasciculation, thus introducing a new role of mechanical tension in the development of neural networks.
The molecular identity of bi-fated tendon-to-bone attachment cells, which display a mixture of transcriptomes of two neighboring cell types, enables the formation of the unique transitional tissue of the enthesis.
Conditional deletion of TGFβ signaling results in tenocyte dedifferentiation in vivo demonstrating a key role for TGFβ signaling in the maintenance of the tendon cell fate.
Tension is the activating stimulus of Piezo1 mechanosensitive ion channels and resting membrane tension modulates overall channel sensitivity to mechanical stimulation.
