Ca2+ is an important structural and functional component of plant cells. During the last decade, Ca2+ attracted attention as a secondary messenger in signaling processes in plants to mediate the action of abiotic and biotic signals including light. The structural basis for Ca2+ signaling in plants, the generation of Ca2+ signatures and of nature of Ca2+ sensors are considered in relation to the functioning of plant photoreceptors phytochromes, cryptochromes, and phototropins. Special attention was focused upon genetic factors controlling the expression of light-inducible genes being closely related to above photoreceptors. The analysis of the achievements in the field of plant photoreceptor signal transduction and suggestions of some prospects for the future research were done.
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Biochem Soc Trans
January 2025
Departamento de Ciencias Médicas Básicas, Facultad de Ciencias de la Salud-sección Medicina, Universidad de La Laguna, Tenerife, ES-38071, Spain.
Large conductance voltage- and calcium-activated potassium channels (BK channels) are extensively found throughout the central nervous system and play a crucial role in various neuronal functions. These channels are activated by a combination of cell membrane depolarisation and an increase in intracellular calcium concentration, provided by calcium sources located close to BK. In 2001, Isaacson and Murphy first demonstrated the coupling of BK channels with N-methyl-D-aspartate receptors (NMDAR) in olfactory bulb neurons.
View Article and Find Full Text PDFEnviron Geochem Health
January 2025
Environment Research Laboratory, Faculty of Science, Nepal Academy of Science and Technology, Khumaltar, Lalitpur, Nepal.
A comprehensive hydrogeochemical analysis of 156 groundwater samples (106 shallow and 50 deep) was conducted in the Kathmandu Valley, Nepal. This study addresses a significant research gap by focusing on the hydro-geochemical composition and contamination of groundwater in the Kathmandu Valley, an area with limited detailed assessments. The novelty of this work lies in its comprehensive analysis of both shallow and deep groundwater, particularly concerning the high concentration of contaminants like arsenic, microbial pathogens, and ammonium, which are critical for public health.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
School of Graduate, Dalian Medical University, Dalian City, China.
Purpose: To investigate the effect of Ca2+/calmodulin-dependent protein kinase II (CAMKII) δ subtypes (CAMK2D) on sodium iodate (NaIO3)-induced retinal degeneration in mice.
Methods: Bioinformatics analysis and Western blot experiments were used to screen the significantly differentially expressed genes in age-related macular degeneration (AMD) disease. CAMK2D knockdown and overexpression models were constructed by lentivirus (LV) infection of adult retinal pigment epithelial cell line-19 (ARPE-19) cells in vitro.
Toxicol Ind Health
January 2025
Department of of Toxicology, Faculty of Pharmacy, Istanbul Okan University, Istanbul, Turkey.
Di-2-(ethylhexyl)phthalate (DEHP) is a phthalate derivative used extensively in a wide range of materials, such as medical devices, toys, cosmetics, and personal care products. Many mechanisms, including epigenetics, may be involved in the effects of phthalates on brain development. In this study, Sprague-Dawley male rats were obtained 21-23 days after their birth (post-weaning) and were exposed to DEHP during the prepubertal period with low-dose DEHP (DEHP-L, 30 mg/kg/day) and high-dose DEHP (DEHP-H, 60 mg/kg/day, 37 days) until the end of adolescence (PND 60).
View Article and Find Full Text PDFIET Syst Biol
January 2025
School of Computer Science and Technology, Baotou Medical College, Baotou, China.
Metal ions are significant ligands that bind to proteins and play crucial roles in cell metabolism, material transport, and signal transduction. Predicting the protein-metal ion ligand binding residues (PMILBRs) accurately is a challenging task in theoretical calculations. In this study, the authors employed fused amino acids and their derived information as feature parameters to predict PMILBRs using three classical machine learning algorithms, yielding favourable prediction results.
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