Human adenovirus (Ad)-vectored vaccines require viruses that can internalize into host cells and express the vaccine antigen. Evaluation of the expressed antigen in animal cells is a critical step in preclinical trials of viral vaccines. Due to the species specificity of Ads, it is difficult to find a suitable animal model. Thus, in this study, we compared the efficacy of Ad 11 prototype (Ad11p)-mediated green fluorescence protein (GFP) expression in cell lines of dog (MDCK), hamster (CHO), and mouse (McCoy and C127). Although these cell lines did not express the known primary cellular receptors for Ad11p virus infection (i.e., CD46), Ad11pE1GFP could infect and express GFP with various efficacies. For instance, it manifested relatively higher GFP expression in MDCK than in CHO, McCoy, and C127. However, infection leading to efficient viral release was not observed in any of the studied cell lines. The apparent differences were attributed to particularities of mouse and hamster cell lines, which might have led to the repression of viral DNA synthesis and to the low level of GFP expression mediated by Ad11pe3GFP. Moreover, our results revealed that undetectable hexon protein hampered the assembly of virus particles in CHO and MDCK cells. Ad11p differed from Ad5 in the ability for viral DNA synthesis when infecting CHO cells. Although a defective Ad has been successfully developed for SARS-CoV-2 vaccines in clinical applications, it has been difficult to generate one that can be used as an oral SARS-CoV-2 vaccine. Fortunately, our replication-competent Ad 11p vector might solve this problem. Regarding the use of Ad-vector candidates for vaccine purposes, this study demonstrates the selection of animal cell lines and determination of suitable virus doses in experiments.
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http://dx.doi.org/10.3389/fmicb.2021.698999 | DOI Listing |
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
JCO Glob Oncol
January 2025
University of Oxford, Oxford, United Kingdom.
Purpose: Epstein-Barr virus (EBV)-positive Burkitt lymphoma (BL) affects children in sub-Saharan Africa, but diagnosis via tissue biopsy is challenging. We explored a liquid biopsy approach using targeted next-generation sequencing to detect the -immunoglobulin (-Ig) translocation and EBV DNA, assessing its potential for minimally invasive BL diagnosis.
Materials And Methods: The panel included targets for the characteristic -Ig translocation, mutations in intron 1 of , mutations in exon 2 of , and three EBV genes: EBV-encoded RNA (EBER)1, EBER2, and EBV nuclear antigen 2.
Indian J Dent Res
October 2024
ImmuGenix Biosciences Pvt Ltd, Chennai, Tamil Nadu, India.
Background: Candidalysin has been isolated initially from a pathogenic human fungus. The extent of cell elongation 1 (ECE1) gene codes for candidalysin of Candida albicans (C. albicans).
View Article and Find Full Text PDFJ Med Chem
January 2025
Insilico Medicine Shanghai Ltd, Suite 901, Tower C, Changtai Plaza, 2889 Jinke Road, Pudong New District, Shanghai 201203, China.
Protein arginine methyltransferase 5 (PRMT5), which catalyzes the symmetric dimethylation of arginine residues on target proteins, plays a critical role in gene expression regulation, RNA processing, and signal transduction. Aberrant PRMT5 activity has been implicated in cancers and other diseases, making it a potential therapeutic target. Here, we report the discovery of a methylthioadenosine (MTA) cooperative PRMT5 inhibitor.
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