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Because regulation of its activity is instrumental either to support cell proliferation and growth or to promote cell death, the universal myo-inositol phosphate synthase (MIPS), responsible for myo-inositol biosynthesis, is a critical enzyme of primary metabolism. Surprisingly, we found this enzyme to be imported in the nucleus and to interact with the histone methyltransferases ATXR5 and ATXR6, raising the question of whether MIPS1 has a function in transcriptional regulation. Here, we demonstrate that MIPS1 binds directly to its promoter to stimulate its own expression by locally inhibiting the spreading of ATXR5/6-dependent heterochromatin marks coming from a transposable element. Furthermore, on activation of pathogen response, MIPS1 expression is reduced epigenetically, providing evidence for a complex regulatory mechanism acting at the transcriptional level. Thus, in plants, MIPS1 appears to have evolved as a protein that connects cellular metabolism, pathogen response and chromatin remodeling.
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http://dx.doi.org/10.1093/nar/gks1458 | DOI Listing |
Macromol Biosci
September 2025
Department of Pharmaceutical Technology, Faculty of Pharmacy, Ankara University, Tandogan, Ankara, Turkey.
The COVID-19 pandemic caused by the novel coronavirus SARS-CoV-2 has highlighted the critical need for safe and effective vaccines. In this study, subunit nanovaccine formulations were developed using the receptor-binding domain (RBD) of the SARS-CoV-2 spike (S) protein encapsulated in polymeric nanoparticles composed of poly(ethylene glycol)-block-poly(ε-caprolactone) (PEG-PCL). Two surfactants, poly(vinyl alcohol) (PVA) and sodium cholate (SC), were evaluated during formulation via a modified water-in-oil-in-water (w/o/w) emulsion-solvent evaporation method.
View Article and Find Full Text PDFLangmuir
September 2025
Centre for Biomedical Engineering, Indian Institute of Technology, Delhi, New Delhi 110016, India.
The study addresses the critical issue of sepsis diagnosis, a life-threatening condition triggered by the body's immune response to infection that leads to mortality. Current diagnostic methods rely on the time-consuming assessment of multiple biomarkers by a series of tests, leading to delayed treatment. Here, we report a platform for developing a point-of-care (POC) device utilizing electrochemical immunosensors for the dual and rapid detection of sepsis biomarkers: Procalcitonin (PCT), Interleukin-6 (IL-6), and C-reactive protein (CRP) as host markers and lipopolysaccharide (LPS) as a pathogen marker.
View Article and Find Full Text PDFJ Virol
September 2025
Department of Microbiology, Immunology and Molecular Genetics, College of Medicine, University of Kentucky, Lexington, Kentucky, USA.
Arthropod-borne viruses (arboviruses) pose a major threat to global public health, impacting both human and animal health. Genomic characterization is important for arboviruses because it allows for an understanding of their evolution and improves timely outbreak and epidemic response. In this study, we used high-throughput sequencing and computational analyses to characterize the genomes and evolution of 46 previously unsequenced or partially sequenced arbovirus isolates collected across 23 countries between 1954 and 1984.
View Article and Find Full Text PDFAppl Environ Microbiol
September 2025
Department of Environmental Microbiology, Eawag, Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.
Unlabelled: The genus includes opportunistic pathogens inhabiting engineered aquatic ecosystems, where managing their presence and abundance is crucial for public health. In these environments, interact positively or negatively with multiple members of the microbial communities. Here, we identified bacteria and compounds with -antagonistic properties.
View Article and Find Full Text PDFmSystems
September 2025
Genome Biology Unit, European Molecular Biology Laboratory (EMBL), Heidelberg, Germany.
Genome-scale metabolic models (GEMs) are widely used in systems biology to investigate metabolism and predict perturbation responses. Automatic GEM reconstruction tools generate GEMs with different properties and predictive capacities for the same organism. Since different models can excel at different tasks, combining them can increase metabolic network certainty and enhance model performance.
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