Petrina Jebamani, Migyeong Jo, Suhyun Park, Suyeon Kim, Sang Taek Jung*, Sun-Gu Lee* and Sangwook Wu*,
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引用次数: 0
Abstract
Immunoglobulins mediate their immune responses through interactions with Fc γ-receptors (FcγRs) on immune cells, triggering crucial responses such as antibody-dependent cellular cytotoxicity (ADCC) and antibody-dependent cellular phagocytosis (ADCP). While enhancing these interactions can be beneficial, in certain therapeutic scenarios, such as cytokine or receptor blockade therapies, it is critical to reduce FcγR binding to avoid adverse immune reactions. This study aims to design negative mutations in the Fc region to reduce Fcγ receptor binding based on the residue interaction network analysis. The mutation sites of Fc were targeted through betweenness centrality analysis, and mutations were designed by focusing on hydrophobic to hydrophilic residue changes. The negative effect of the designed mutants on binding affinity was verified by previous reports and binding experiments. From this study, we identified a new Fc variant candidate (V263(B)D) that lacks a binding affinity for Fcγ receptors. This research highlights a strategic approach for designing Fc mutations that effectively reduce immune activation, which may be valuable in therapeutic contexts, where immune response moderation is crucial.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.