Muscle energetics reflects the ability of myosin motors to convert chemical energy into mechanical energy. How this process takes place remains one of the most elusive questions in the field. Here, we combined experimental measurements of in vitro sliding velocity based on DNA-origami built filaments carrying myosins with different lever arm length and Monte Carlo simulations based on a model which accounts for three basic components: (i) the geometrical hindrance, (ii) the mechano-sensing mechanism, and (iii) the biased kinetics for stretched or compressed motors. The model simulations showed that the geometrical hindrance due to acto-myosin spatial mismatching and the preferential detachment of compressed motors are synergic in generating the rapid increase in the ATP-ase rate from isometric to moderate velocities of contraction, thus acting as an energy-conservation strategy in muscle contraction. The velocity measurements on a DNA-origami filament that preserves the motors' distribution showed that geometrical hindrance and biased detachment generate a non-zero sliding velocity even without rotation of the myosin lever-arm, which is widely recognized as the basic event in muscle contraction. Because biased detachment is a mechanism for the rectification of thermal fluctuations, in the Brownian-ratchet framework, we predict that it requires a non-negligible amount of energy to preserve the second law of thermodynamics. Taken together, our theoretical and experimental results elucidate less considered components in the chemo-mechanical energy transduction in muscle.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8269045 | PMC |
http://dx.doi.org/10.3390/ijms22137037 | DOI Listing |
Sci Rep
January 2025
Department of General Psychology and Padova Neuroscience Center, University of Padova, Padova, Italy.
Hierarchical generative models can produce data samples based on the statistical structure of their training distribution. This capability can be linked to current theories in computational neuroscience, which propose that spontaneous brain activity at rest is the manifestation of top-down dynamics of generative models detached from action-perception cycles. A popular class of hierarchical generative models is that of Deep Belief Networks (DBNs), which are energy-based deep learning architectures that can learn multiple levels of representations in a completely unsupervised way exploiting Hebbian-like learning mechanisms.
View Article and Find Full Text PDFNat Commun
January 2025
iGaN Laboratory, School of Microelectronics, University of Science and Technology of China, Hefei, PR China.
The development of an efficient and durable photoelectrode is critical for achieving large-scale applications in photoelectrochemical water splitting. Here, we report a unique photoelectrode composed of reconfigured gallium nitride nanowire-on-silicon wafer loaded with Au nanoparticles as cocatalyst that achieved an impressive applied bias photon-to-current efficiency of 10.36% under AM 1.
View Article and Find Full Text PDFOpen Heart
January 2025
Department of Cardiology, Rabin Medical Center, Petah Tikva, Israel.
Introduction: Data on the characteristics and outcomes of pregnancy and among patients with Fontan physiology are limited. We aimed to evaluate the immediate and long-term outcomes among these patients who were followed at our centre.
Methods: We included adult patients who had undergone Fontan surgery for congenital heart disease and were pregnant between 1994 and 2021.
BMC Ophthalmol
December 2024
Juarez Hospital, Public Assistance Institution (Nonprofit Organization), Av. Politecnico Nacional 5160, Colonia Magdalena de las Salinas, Mexico City, 07760, Mexico.
This meta-analysis aims to evaluate the efficacy and safety of diabetic vitrectomy for treating tractional retinal detachment (TRD) by assessing visual acuity improvements, retinal reattachment success rates, and the frequency of postoperative complications. A comprehensive literature search identified 1,211 studies, 30 of which met the inclusion criteria and were analyzed. The meta-analyses were conducted via random effects models to account for heterogeneity.
View Article and Find Full Text PDFAm J Ophthalmol
December 2024
Ocular Oncology Service, Wills Eye Hospital, Thomas Jefferson University, Philadelphia, PA USA.
Topic: evaluation of clinical outcomes of patients with retinoblastoma treated with intravitreal chemotherapy (IvitC).
Design: Systematic review and single-arm meta-analysis CLINICAL RELEVANCE: Clinical outcomes with IVitC vary across reports according to patient characteristics and concomitant treatment modalities, mainly intravenous chemotherapy (IVC) and intra-arterial chemotherapy (IAC). There are currently no large clinical trials or meta-analyses focusing on the topic.
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!