Class I α-mannosidases (MNSs) play important roles in protein N-glycosylation. However, no data are currently available about MNSs in cassava (), of which the functions are therefore not known, particularly in relevance to postharvest physiological deterioration (PPD). A total of seven genes were identified from the cassava genome in the present study. Two (2 and 6) of the seven genes may be pseudogenes, as indicated by sequence alignment and exon-intron organizations. Five MNSs could be classified into three subfamilies. Tissue-specific expression analysis revealed that genes have distinct expression patterns in different tissues between sugar cassava and cultivated cassava varieties, indicating their functional diversity. A PPD response and defense model was proposed based on the transcription data of and genes involved in reactive oxygen species, signal transduction, and cell wall remodeling. The findings help in the understanding of PPD responses in cassava.
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http://dx.doi.org/10.1021/acsomega.8b03558 | DOI Listing |
Am J Trop Med Hyg
January 2025
Centro de Investigaciones Regionales "Dr. Hideyo Noguchi," Universidad Autónoma de Yucatán, Mérida, México.
The socioecological conditions of Mexican regions are conducive to the spread of vector-borne diseases. Although there are established treatment guidelines for dengue and rickettsiosis, diagnosis is complicated. The objective of this work was to identify epitopes of Rickettsia and dengue virus that could be used in serology screening against vector-borne diseases.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
Institute of History and Ethics in Medicine, School of Medicine and Health, Technical University of Munich, Munich, Germany.
Background: In data-sparse areas such as health care, computer scientists aim to leverage as much available information as possible to increase the accuracy of their machine learning models' outputs. As a standard, categorical data, such as patients' gender, socioeconomic status, or skin color, are used to train models in fusion with other data types, such as medical images and text-based medical information. However, the effects of including categorical data features for model training in such data-scarce areas are underexamined, particularly regarding models intended to serve individuals equitably in a diverse population.
View Article and Find Full Text PDFJ Med Chem
January 2025
Department of Drug Design and Pharmacology, Faculty of Health and Medical Sciences, University of Copenhagen, Universitetsparken 2, DK-2100 Copenhagen, Denmark.
The Ca/calmodulin-dependent protein kinase II α (CaMKIIα) plays a crucial role in regulating neuronal signaling and higher brain functions, being involved in various brain diseases. Utilization of small molecules targeting the CaMKIIα hub domain has proved to be a promising strategy for specific CaMKIIα modulation and future therapy. Through an structure-based virtual screening campaign, we herein identified 2-arylthiazole-4-carboxylic acids as a new class of high-affinity CaMKIIα hub ligands.
View Article and Find Full Text PDFJ Strength Cond Res
February 2025
MilanLab Research Department, A.C. Milan S.p.A., Milan, Italy.
Riboli, A, Nardi, F, Osti, M, Cefis, M, Tesoro, G, and Mazzoni, S. Training load, official match locomotor demand, and their association in top-class soccer players during a full competitive season. J Strength Cond Res 39(2): 249-259, 2025-To examine training load and official match locomotor demands of top-class soccer players during a full competitive season and to evaluate their association.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
Department of Chemistry, Indian Institute of Technology Kharagpur, Kharagpur 721302, India.
The microbial aminotransferase enzyme DapC is vital for lysine biosynthesis in various Gram-positive bacteria, including . Characterization of the enzyme's conformational dynamics and identifying the key residues for ligand binding are crucial for the development of effective antimicrobials. This study employs atomistic simulations to explore and categorize the dynamics of DapC in comparison to other classes of aminotransferase.
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