Several features make bovine herpesvirus 4 (BoHV-4) attractive as a backbone for use as a viral expression vector and/or as a model to study gammaherpesvirus biology. However, these developments have been impeded by the difficulty in manipulating its large genome using classical homologous recombination in eukaryotic cells. In the present study, the feasibility of exploiting bacterial artificial chromosome (BAC) cloning and prokaryotic recombination technology for production of BoHV-4 recombinants was explored. Firstly, the BoHV-4 genome was BAC cloned using two potential insertion sites. Both sites of insertion gave rise to BoHV-4 BAC clones stably maintained in bacteria and able to regenerate virions when transfected into permissive cells. Reconstituted virus replicated comparably to wild-type parental virus and the loxP-flanked BAC cassette was excised by growing them on permissive cells stably expressing Cre recombinase. Secondly, BoHV-4 recombinants expressing Ixodes ricinus anti-complement protein I or II (IRAC I/II) were produced using a two-step mutagenesis procedure in Escherichia coli. Both recombinants induced expression of high levels of functional IRAC molecules in the supernatant of infected cells. This study demonstrates that BAC cloning and prokaryotic recombination technology are powerful tools for the development of BoHV-4 as an expression vector and for further fundamental studies of this gammaherpesvirus.
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http://dx.doi.org/10.1099/vir.0.80718-0 | DOI Listing |
Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFSci Adv
January 2025
State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, Institute of Plant Virology, Fujian Agriculture and Forestry University, Fuzhou, Fujian, China.
Insect melanization triggered by the conversion of prophenoloxidase to active phenoloxidase via serine proteases (SPs) is an important immediate immune response. However, how phytoplasmas evade this immune response to promote their propagation in insect vectors remains unknown. Here, we demonstrate that infection of leafhopper vectors with rice orange leaf phytoplasma (ROLP) activates the mild melanization response in hemolymph.
View Article and Find Full Text PDFPhys Rev Lett
December 2024
Brookhaven National Laboratory, Condensed Matter Physics and Materials Science Division, Upton, New York 11973, USA.
We present a protocol for detecting multipartite entanglement in itinerant many-body electronic systems using single-particle Green's functions. To achieve this, we first establish a connection between the quantum Fisher information and single-particle Green's functions by constructing a set of witness operators built out of single electron creation and destruction operators in a doubled system. This set of witness operators is indexed by a momentum k.
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