Electron microscopy of influenza A virus (IAV) and three-dimensional reconstruction of their interior by electron tomography, combined with genetic, biochemical and virology assays, has revealed that genome packaging of IAVs is a selective process, the molecular mechanisms of which start to be unveiled. The eight genomic viral RNAs (vRNAs) most likely form a supramolecular complex maintained by base-pairings within the strain-dependent packaging signals of each vRNA. Visualization of viral ribonucleoproteins inside cells also brought new insights about spatio-temporal assembly of the supramolecular complexes, prior to their incorporation into budding virions. Altogether, these data improve our understanding of the rules governing packaging of the IAV genome and offer clues for optimization of vaccine seeds production. Genetic reassortment events between different IAVs, which can lead to severe pandemics, are probably also affected by the rules that govern genome packaging.
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http://dx.doi.org/10.1684/vir.2014.0580 | DOI Listing |
J Transl Med
January 2025
Department of Gynecology, The Fourth Hospital of Hebei Medical University, No.12 Jiankang Road, Shijiazhuang, 050000, Hebei, China.
Background: Immune cells within tumor tissues play important roles in remodeling the tumor microenvironment, thus affecting tumor progression and the therapeutic response. The current study was designed to identify key markers of plasma cells and explore their role in high-grade serous ovarian cancer (HGSOC).
Methods: We utilized single-cell sequencing data from the Gene Expression Omnibus (GEO) database to identify key immune cell types within HGSOC tissues and to extract related markers via the Seurat package.
mSystems
January 2025
Department of Gastroenterology, Hepatology and Infectious Diseases, Otto-von-Guericke University Magdeburg, Magdeburg, Germany.
Microbiome analysis has become a crucial tool for basic and translational research due to its potential for translation into clinical practice. However, there is ongoing controversy regarding the comparability of different bioinformatic analysis platforms and a lack of recognized standards, which might have an impact on the translational potential of results. This study investigates how the performance of different microbiome analysis platforms impacts the final results of mucosal microbiome signatures.
View Article and Find Full Text PDFMicrobiome
January 2025
Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, AB, Canada.
Background: Microbial spoilage in meat impedes the development of sustainable food systems. However, our understanding of the origin of spoilage microbes is limited. Here, we describe a detailed longitudinal study that assesses the microbial dynamics in a meat processing facility using high-throughput culture-dependent and culture-independent approaches to reveal the diversity, dispersal, persistence, and biofilm formation of spoilage-associated microbes.
View Article and Find Full Text PDFJ Transl Med
January 2025
Laboratory of Gene Engineering and Genomics, School of Basic Medical Sciences, Chengde Medical University, Chengde, 067000, China.
Objective: This study aims to elucidate the primary signaling communication among papillary craniopharyngioma (PCP) tumor cells.
Methods: Five samples of PCP were utilized for single-cell RNA sequencing. The most relevant ligand and receptor interactions among different cells were calculated using the CellChat package in R software.
BMC Cancer
January 2025
Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Background: The tumor microenvironment (TME) is integral to tumor progression. However, its prognostic implications and underlying mechanisms in clear cell renal cell carcinoma (ccRCC) are not yet fully elucidated. This study aims to examine the prognostic significance of genes associated with immune-stromal scores and to explore their underlying mechanisms in ccRCC.
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