Tiziana La Bella, Bérangère Bertin, Ante Mihaljevic, Justine Nozi, Patrice Vidal, Sandrine Imbeaud, Jean-Charles Nault, Jessica Zucman-Rossi, Giuseppe Ronzitti
{"title":"单个氨基酸的有害变化对推断 AAV2 和 AAV2-13 外壳适应性的预测能力","authors":"Tiziana La Bella, Bérangère Bertin, Ante Mihaljevic, Justine Nozi, Patrice Vidal, Sandrine Imbeaud, Jean-Charles Nault, Jessica Zucman-Rossi, Giuseppe Ronzitti","doi":"10.1016/j.omtm.2024.101327","DOIUrl":null,"url":null,"abstract":"Adeno-associated virus (AAV) is the most widely used vector for gene transfer. A major limitation of capsid engineering is the incomplete understanding of the consequences of multiple amino acid variations on AAV capsid stability resulting in high frequency of non-viable capsids. In this context, the study of natural AAV variants can provide valuable insights into capsid regions that exhibit greater tolerance to mutations. Here, the characterization of AAV2 variants and the analysis of two public capsid libraries highlighted common features associated with deleterious mutations, suggesting that the impact of mutations on capsid viability is strictly dependent on their 3D location within the capsid structure. We developed a novel prediction method to infer the fitness of AAV2 variants containing multiple amino acid variations with 98% sensitivity, 98% accuracy, and 95% specificity. This novel approach might streamline the development of AAV vector libraries enriched in viable capsids, thus accelerating the identification of therapeutic candidates among engineered capsids.","PeriodicalId":54333,"journal":{"name":"Molecular Therapy-Methods & Clinical Development","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predictive power of deleterious single amino acid changes to infer on AAV2 and AAV2-13 capsids fitness\",\"authors\":\"Tiziana La Bella, Bérangère Bertin, Ante Mihaljevic, Justine Nozi, Patrice Vidal, Sandrine Imbeaud, Jean-Charles Nault, Jessica Zucman-Rossi, Giuseppe Ronzitti\",\"doi\":\"10.1016/j.omtm.2024.101327\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adeno-associated virus (AAV) is the most widely used vector for gene transfer. A major limitation of capsid engineering is the incomplete understanding of the consequences of multiple amino acid variations on AAV capsid stability resulting in high frequency of non-viable capsids. In this context, the study of natural AAV variants can provide valuable insights into capsid regions that exhibit greater tolerance to mutations. Here, the characterization of AAV2 variants and the analysis of two public capsid libraries highlighted common features associated with deleterious mutations, suggesting that the impact of mutations on capsid viability is strictly dependent on their 3D location within the capsid structure. We developed a novel prediction method to infer the fitness of AAV2 variants containing multiple amino acid variations with 98% sensitivity, 98% accuracy, and 95% specificity. This novel approach might streamline the development of AAV vector libraries enriched in viable capsids, thus accelerating the identification of therapeutic candidates among engineered capsids.\",\"PeriodicalId\":54333,\"journal\":{\"name\":\"Molecular Therapy-Methods & Clinical Development\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2024-08-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Molecular Therapy-Methods & Clinical Development\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.omtm.2024.101327\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Molecular Therapy-Methods & Clinical Development","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.omtm.2024.101327","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Predictive power of deleterious single amino acid changes to infer on AAV2 and AAV2-13 capsids fitness
Adeno-associated virus (AAV) is the most widely used vector for gene transfer. A major limitation of capsid engineering is the incomplete understanding of the consequences of multiple amino acid variations on AAV capsid stability resulting in high frequency of non-viable capsids. In this context, the study of natural AAV variants can provide valuable insights into capsid regions that exhibit greater tolerance to mutations. Here, the characterization of AAV2 variants and the analysis of two public capsid libraries highlighted common features associated with deleterious mutations, suggesting that the impact of mutations on capsid viability is strictly dependent on their 3D location within the capsid structure. We developed a novel prediction method to infer the fitness of AAV2 variants containing multiple amino acid variations with 98% sensitivity, 98% accuracy, and 95% specificity. This novel approach might streamline the development of AAV vector libraries enriched in viable capsids, thus accelerating the identification of therapeutic candidates among engineered capsids.
期刊介绍:
The aim of Molecular Therapy—Methods & Clinical Development is to build upon the success of Molecular Therapy in publishing important peer-reviewed methods and procedures, as well as translational advances in the broad array of fields under the molecular therapy umbrella.
Topics of particular interest within the journal''s scope include:
Gene vector engineering and production,
Methods for targeted genome editing and engineering,
Methods and technology development for cell reprogramming and directed differentiation of pluripotent cells,
Methods for gene and cell vector delivery,
Development of biomaterials and nanoparticles for applications in gene and cell therapy and regenerative medicine,
Analysis of gene and cell vector biodistribution and tracking,
Pharmacology/toxicology studies of new and next-generation vectors,
Methods for cell isolation, engineering, culture, expansion, and transplantation,
Cell processing, storage, and banking for therapeutic application,
Preclinical and QC/QA assay development,
Translational and clinical scale-up and Good Manufacturing procedures and process development,
Clinical protocol development,
Computational and bioinformatic methods for analysis, modeling, or visualization of biological data,
Negotiating the regulatory approval process and obtaining such approval for clinical trials.