Epithelial Na(+) channels (ENaCs) selectively conduct Na(+) and Li(+) but exclude K(+). A three-residue tract ((G/S)XS) present within all three subunits has been identified as a key structure forming a putative selectivity filter. We investigated the side chain orientation of residues within this tract by analyzing accessibility of the introduced sulfhydryl groups to thiophilic Cd(2+). Xenopus oocytes were used to express wild-type or mutant mouse alphabetagammaENaCs. The blocking effect of external Cd(2+) was examined by comparing amiloride-sensitive Na(+) currents measured by two-electrode voltage clamp in the absence and presence of Cd(2+) in the bath solution. The currents in mutant channels containing a single Cys substitution at the first or third position within the (G/S)XS tract (alphaG587C, alphaS589C, betaG529C, betaS531C, gammaS546C, and gammaS548C) were blocked by Cd(2+) with varying inhibitory constants (0.06-13 mm), whereas the currents in control channels were largely insensitive to Cd(2+) at concentrations up to 10 mm. The Cd(2+) blocking effects were fast, with time constants in the range of seconds, and were only partially reversible. The blocked currents were restored by 10 mm dithiothreitol. Mutant channels containing alanine or serine substitutions at these sites within the alpha subunit were only poorly and reversibly blocked by 10 mm Cd(2+). These results indicate that the introduced sulfhydryl groups face the conduction pore and suggest that serine hydroxyl groups within the selectivity filter in wild-type ENaCs face the conduction pore and may contribute to cation selectivity by participating in coordination of permeating cations.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1074/jbc.M413880200 | DOI Listing |
Front Oncol
December 2024
Department of Urology, Second Affiliated Hospital of Nanchang University, Nanchang, China.
Background And Purpose: Distant metastasis in bladder cancer is linked to poor prognosis and significant mortality. Machine learning (ML), a key area of artificial intelligence, has shown promise in the diagnosis, staging, and treatment of bladder cancer. This study aimed to employ various ML techniques to predict distant metastasis in patients with bladder cancer.
View Article and Find Full Text PDFSci Rep
December 2024
School of Electronics Engineering, Vellore Institute of Technology, Vellore, India.
Autonomous vehicles, often known as self-driving cars, have emerged as a disruptive technology with the promise of safer, more efficient, and convenient transportation. The existing works provide achievable results but lack effective solutions, as accumulation on roads can obscure lane markings and traffic signs, making it difficult for the self-driving car to navigate safely. Heavy rain, snow, fog, or dust storms can severely limit the car's sensors' ability to detect obstacles, pedestrians, and other vehicles, which pose potential safety risks.
View Article and Find Full Text PDFMacromol Rapid Commun
December 2024
Empa, Swiss Federal Laboratories for Materials Science and Technology, Laboratory for Biomimetic Membranes and Textiles, St. Gallen, 9014, Switzerland.
Facemask materials have been under constant development to optimize filtration performance, wear comfort, and general resilience to chemical and mechanical stress. While single-use polypropylene meltblown membranes are the established go-to material for high-performing mask filters, they are neither sustainable nor particularly resistant to sterilization methods. Herein an in-depth analysis is provided of the sterilization efficiency, filtration efficiency, and breathing resistance of selected aerosol filters commonly implemented in facemasks, with a particular focus on the benefits of nanofibrous filters.
View Article and Find Full Text PDFInt Microbiol
December 2024
Department of Pharmacology and Toxicology, College of Pharmacy, King Saud University, P.O. Box 2455, 11451, Riyadh, Saudi Arabia.
The present research work is concerned with the production and optimization of the dopa-oxidase enzyme by using pre-grown mycelia of Aspergillus oryzae. Different strains of A. oryzae were collected and isolated from various soil samples.
View Article and Find Full Text PDFSci Rep
December 2024
Wuhan Fiberhome Technical Services Co., Ltd, Wuhan, 430205, China.
Feature selection (FS) is a significant dimensionality reduction technique, which can effectively remove redundant features. Metaheuristic algorithms have been widely employed in FS, and have obtained satisfactory performance, among them, grey wolf optimizer (GWO) has received widespread attention. However, the GWO and its variants suffer from limited adaptability, poor diversity, and low accuracy when faced with high-dimensional data.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!