The bacterial chromosome is under varying levels of mechanical stress due to a high degree of crowding and dynamic protein-DNA interactions experienced within the nucleoid. DNA tension is difficult to measure in cells and its functional significance remains unclear although in vitro experiments have implicated a range of biomechanical phenomena. Using single-molecule tools, we have uncovered a novel protein-DNA interaction that responds to fluctuations in mechanical tension by condensing DNA. We combined tethered particle motion (TPM) and optical tweezers experiments to probe the effects of tension on DNA in the presence of the Hha/H-NS complex. The nucleoid structuring protein H-NS is a key regulator of DNA condensation and gene expression in enterobacteria and its activity in vivo is affected by the accessory factor Hha. We find that tension, induced by optical tweezers, causes the rapid compaction of DNA in the presence of the Hha/H-NS complex, but not in the presence of H-NS alone. Our results imply that H-NS requires Hha to condense bacterial DNA and that this condensation could be triggered by the level of mechanical tension experienced along different regions of the chromosome.
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http://dx.doi.org/10.1093/nar/gku896 | DOI Listing |
Orthop Surg
January 2025
Department of Orthopedics Surgery, The Second Affiliated Hospital of Soochow University, Suzhou, Jiangsu Province, China.
Objective: Inferior pole patellar fractures (IPPFs) pose a significant challenge due to their complex fracture patterns and high risk of complications associated with current treatment methods. This study aims to (1) characterize the fracture patterns of IPPFs using fracture mapping and (2) compare the biomechanical stability and clinical outcomes of treatment with anchor suture with patellar cerclage versus Kirschner-wire tension band combined with patellar cerclage.
Methods: (1) A retrospective analysis was conducted on 61 patients with IPPF.
Biophys J
January 2025
Department of Physiology & Biophysics, UC Irvine, Irvine, California; Department of Biomedical Engineering, UC Irvine, Irvine, California; Center for Complex Biological Systems, UC Irvine, Irvine, California; Sue and Bill Gross Stem Cell Research Center, UC Irvine, Irvine, California. Electronic address:
The mechanically-activated ion channel PIEZO1 is critical to numerous physiological processes, and is activated by diverse mechanical cues. The channel is gated by membrane tension and has been found to be mobile in the plasma membrane. We employed single particle tracking (SPT) of endogenous, tdTomato-tagged PIEZO1 using Total Internal Reflection Fluorescence Microscopy in live cells.
View Article and Find Full Text PDFACS Sens
January 2025
Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, P. R. China.
Accurate and efficient sorting of single target cells is crucial for downstream single-cell analysis, such as RNA sequencing, to uncover cellular heterogeneity and functional characteristics. However, conventional single-cell sorting techniques, such as manual micromanipulation or fluorescence-activated cell sorting, do not match current demands and are limited by low throughput, low sorting efficiency and precision, or limited cell viability. Here, we report an automated, highly efficient single-cell sorter, integrating laser-induced forward transfer (LIFT) with a high-throughput picoliter micropore array.
View Article and Find Full Text PDFReg Anesth Pain Med
January 2025
Anaesthesia, University Hospital Waterford, Waterford, Ireland.
Background: Continuous spinal anesthesia (CSA) offers precise, prolonged neuraxial anesthesia suitable for high-risk patients. This technique minimizes hemodynamic instability but comes with notable challenges. Vigilant catheter management is crucial to avoid complications, including the risk of catheter retention.
View Article and Find Full Text PDFComput Biol Med
January 2025
Department of Mechanical Engineering, Stanford University, United States.
We present a built-in physics neural network architecture, known as inelastic Constitutive Artificial Neural Network (iCANN), to discover the inelastic phenomenon of tensional homeostasis. In this course, identifying the optimal model and material parameters to accurately capture the macroscopic behavior of inelastic materials can only be accomplished with significant expertise, is often time-consuming, and prone to error, regardless of the specific inelastic phenomenon. To address this challenge, built-in physics machine learning algorithms offer significant potential.
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