- Adenoviral Vector System: A Comprehensive Overview of Constructions, Therapeutic Applications and Host Responses
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Anyeseu Park, Jeong Yoon Lee
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J. Microbiol. 2024;62(7):491-509. Published online July 22, 2024
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DOI: https://doi.org/10.1007/s12275-024-00159-4
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 Abstract
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Adenoviral vectors are crucial for gene therapy and vaccine development, offering a platform for gene delivery into host cells. Since the discovery of adenoviruses, first-generation vectors with limited capacity have evolved to third-generation vectors flacking viral coding sequences, balancing safety and gene-carrying capacity. The applications of adenoviral vectors for gene therapy and anti-viral treatments have expanded through the use of in vitro ligation and homologous recombination, along with gene editing advancements such as CRISPR-Cas9. Current research aims to maintain the efficacy and safety of adenoviral vectors by addressing challenges such as pre-existing immunity against adenoviral vectors and developing new adenoviral vectors from rare adenovirus types and non-human species. In summary, adenoviral vectors have great potential in gene therapy and vaccine development. Through continuous research and technological advancements, these vectors are expected to lead to the development of safer and more effective treatments.
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Citations
Citations to this article as recorded by  - Engineering an oncolytic adenoviral platform for precise delivery of antisense peptide nucleic acid to modulate PD-L1 overexpression in cancer cells
Andrea Patrizia Falanga, Francesca Greco, Monica Terracciano, Stefano D’Errico, Maria Marzano, Sara Feola, Valentina Sepe, Flavia Fontana, Ilaria Piccialli, Vincenzo Cerullo, Hélder A. Santos, Nicola Borbone
International Journal of Pharmaceutics.2025; 668: 124941. CrossRef - Enhancing precision in cancer treatment: the role of gene therapy and immune modulation in oncology
Emile Youssef, Brandon Fletcher, Dannelle Palmer
Frontiers in Medicine.2025;[Epub] CrossRef - Protein-Based Degraders: From Chemical Biology Tools to Neo-Therapeutics
Lisha Ou, Mekedlawit T. Setegne, Jeandele Elliot, Fangfang Shen, Laura M. K. Dassama
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Waqar Saleem, Ateeqa Aslam, Mehlayl Tariq, Hans Nauwynck
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Ke-Ke Feng, Cheng-Lei Li, Yi-Fan Tu, Shi-Cheng Tian, Rui Xiong, Bai-Sheng Sa, Jing-Wei Shao
Chemical Engineering Journal.2025; 515: 163429. CrossRef - Genetically modified cell membrane proteins in tissue engineering and regenerative medicine
Yilin Bao, Yue Hu, Mengxuan Hao, Qinmeng Zhang, Guoli Yang, Zhiwei Jiang
Biofabrication.2025; 17(3): 032004. CrossRef - Molecular Engineering of Virus Tropism
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International Journal of Molecular Sciences.2024; 25(20): 11094. CrossRef - Antisolvent 3D Printing of Gene-Activated Scaffolds for Bone Regeneration
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International Journal of Molecular Sciences.2024; 25(24): 13300. CrossRef
- Genomic Evolution and Recombination Dynamics of Human Adenovirus D Species: Insights from Comprehensive Bioinformatic Analysis
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Anyeseu Park, Chanhee Lee, Jeong Yoon Lee
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J. Microbiol. 2024;62(5):393-407. Published online March 7, 2024
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DOI: https://doi.org/10.1007/s12275-024-00112-5
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Abstract
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Human adenoviruses (HAdVs) can infect various epithelial mucosal cells, ultimately causing different symptoms in infected organ systems. With more than 110 types classified into seven species (A-G), HAdV-D species possess the highest number of viruses and are the fastest proliferating. The emergence of new adenovirus types and increased diversity are driven by homologous recombination (HR) between viral genes, primarily in structural elements such as the penton base, hexon and fiber proteins, and the E1 and E3 regions. A comprehensive analysis of the HAdV genome provides valuable insights into the evolution of human adenoviruses and identifies genes that display high variation across the entire genome to determine recombination patterns. Hypervariable regions within genetic sequences correlate with functional characteristics, thus allowing for adaptation to new environments and hosts. Proteotyping of newly emerging and already established adenoviruses allows for prediction of the characteristics of novel viruses. HAdV-D species evolved in a direction that increased diversity through gene recombination. Bioinformatics analysis across the genome, particularly in highly variable regions, allows for the verification or re-evaluation of recombination patterns in both newly introduced and pre-existing viruses, ultimately aiding in tracing various biological traits such as virus tropism and pathogenesis. Our research does not only assist in predicting the emergence of new adenoviruses but also offers critical guidance in regard to identifying potential regulatory factors of homologous recombination hotspots.
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Citations
Citations to this article as recorded by - In Silico Intensive Analysis for the E4 Gene Evolution of Human Adenovirus Species D
Chanhee Lee, Anyeseu Park, Jeong Yoon Lee
Journal of Microbiology.2024; 62(5): 409. CrossRef
- In Silico Intensive Analysis for the E4 Gene Evolution of Human Adenovirus Species D
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Chanhee Lee, Anyeseu Park, Jeong Yoon Lee
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J. Microbiol. 2024;62(5):409-418. Published online April 30, 2024
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DOI: https://doi.org/10.1007/s12275-024-00132-1
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Abstract
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Adenovirus (Ad) is a ubiquitous pathogen capable of infecting a wide range of animals and humans. Human Adenovirus (HAdV) can cause severe infection, particularly in individuals with compromised immune systems. To date, over 110 types of HAdV have been classified into seven species from A to G, with the majority belonging to the human adenovirus species D (HAdV-D). In the HAdV-D, the most significant factor for the creation of new adenovirus types is homologous recombination between viral genes involved in determining the virus tropism or evading immune system of host cells. The E4 gene, consisting of seven Open Reading Frames (ORFs), plays a role in both the regulation of host cell metabolism and the replication of viral genes. Despite long-term studies, the function of each ORF remains unclear. Based on our updated information, ORF2, ORF3, and ORF4 have been identified as regions with relatively high mutations compared to other ORFs in the E4 gene, through the use of in silico comparative analysis. Additionally, we managed to visualize high mutation sections, previously undetectable at the DNA level, through a powerful amino acid sequence analysis tool known as proteotyping. Our research has revealed the involvement of the E4 gene in the evolution of human adenovirus, and has established accurate sequence information of the E4 gene, laying the groundwork for further research.
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