Trans-translation is a process which switches the synthesis of a polypeptide chain encoded by a nonstop messenger RNA to the mRNA-like domain of a transfer-messenger RNA (tmRNA). It is used in bacterial cells for rescuing the ribosomes arrested during translation of damaged mRNA and directing this mRNA and the product polypeptide for degradation. The molecular basis of this process is not well understood. Earlier, we developed an approach that allowed isolation of tmRNA-ribosomal complexes arrested at a desired step of tmRNA passage through the ribosome. We have here exploited it to examine the tmRNA structure using chemical probing and cryo-electron microscopy tomography. Computer modeling has been used to develop a model for spatial organization of the tmRNA inside the ribosome at different stages of trans-translation.
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http://dx.doi.org/10.1261/rna.1584209 | DOI Listing |
JAMA Netw Open
January 2025
Department of Global Health, School of Public Health, Boston University, Boston, Massachusetts.
Importance: Semaglutide, a novel glucagon-like peptide-1 (GLP-1) receptor agonist medication, was approved for weight management in individuals with obesity in June 2021. There is limited evidence on factors associated with uptake among individuals in this subgroup without diabetes.
Objective: To explore factors associated with semaglutide initiation among a population of commercially insured individuals with obesity but no diagnosed diabetes.
Cell Biochem Biophys
January 2025
Department of Electronics and Communication Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, 5200, Bangladesh.
Blood components play a crucial role in maintaining human health and accurately detecting them is essential for medical diagnostics. A cutting-edge sensor utilizing PCF revealed to precisely identify a wide range of blood components with WBCs (white blood cells), RBCs (red blood cells), HB (hemoglobin), platelets, and plasma. A numerical analysis was performed using COMSOL Multiphysics software to assess the capabilities of the sensor.
View Article and Find Full Text PDFPlant Foods Hum Nutr
January 2025
Departamento de Ingeniería de Procesos e Hidráulica, Universidad Autónoma Metropolitana- Iztapalapa, Apartado Postal 55-534, Iztapalapa, CDMX, 09340, Mexico.
This study aimed to explore the effects of egg albumin protein addition (5, 15 and 20 g/100 g db) on the textural characteristics, as well as in the in vitro digestibility of protein and starch of wheat bread. Egg albumin addition resulted in smoother bread loaves as compared to traditional wheat bread. Reduced hardness and increased cohesiveness were correlated to the protein secondary structure, mainly with the content of β-sheets.
View Article and Find Full Text PDFMater Horiz
January 2025
School of Physical Science and Technology, School of Chemistry and Chemical Engineering, State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, and School of Resources, Environment and Materials, Guangxi University, Nanning 530004, China.
Metal halides are widely applied in solid-state lighting (SSL), optoelectronic devices, information encryption, and near-infrared (NIR) detection due to their superior photoelectric properties and tunable emission. However, single-component phosphors that can be efficiently excited by light-emitting diode (LED) chips and cover both the visible (VIS) and NIR emission regions are still very rare. To address this issue, (TPA)ZnBr:Sn/Mn (TPA = [(CHCHCH)N]) phosphors were synthesized by using the solvent evaporation method.
View Article and Find Full Text PDFJ Chem Inf Model
January 2025
Division of Pharmaceutical Chemistry, Faculty of Pharmaceutical Sciences, Khon Kaen University, Khon Kaen 40002, Thailand.
Skin corrosion assessment is an essential toxicity end point that addresses safety concerns for topical dosage forms and cosmetic products. Previously, skin corrosion assessments required animal testing; however, differences in skin architecture and ethical concerns regarding animal models have fostered the advancement of alternative methods such as and models. This study aimed to develop deep learning (DL) models based on recurrent neural networks (RNNs) for classifying skin corrosion of chemical compounds based on chemical language notation, molecular substructure, physicochemical properties, and a combination of these three properties called conjoint fingerprints.
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