High-throughput strategies for monoclonal antibody screening: advances and challenges

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Publicado en:Journal of Biological Engineering vol. 19 (2025), p. 1
Autor principal: Xiao-Dong Wango-Ying Ma
Otros Autores: Shi-Ying, Lai, Xiang-Jing Cai, Yan-Guang Cong, Jun-Fa Xu, Peng-Fei, Zhang
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Springer Nature B.V.
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Acceso en línea:Citation/Abstract
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022 |a 1754-1611 
024 7 |a 10.1186/s13036-025-00513-z  |2 doi 
035 |a 3201879018 
045 2 |b d20250101  |b d20251231 
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100 1 |a Xiao-Dong Wango-Ying Ma 
245 1 |a High-throughput strategies for monoclonal antibody screening: advances and challenges 
260 |b Springer Nature B.V.  |c 2025 
513 |a Journal Article 
520 3 |a Antibodies characterized by high affinity and specificity, developed through high-throughput screening and rapid preparation, are crucial to contemporary biomedical industry. Traditional antibody preparation via the hybridoma strategy faces challenges like low efficiency, long manufacturing cycles, batch variability and labor intensity. Advances in molecular biology and gene editing technologies offer revolutionary improvements in antibody production. New high-throughput technologies like antibody library display, single B cell antibody technologies, and single-cell sequencing have significantly cut costs and boosted the efficiency of antibody development. These innovations accelerate commercial applications of antibodies, meeting the biopharmaceutical industry's evolving demands. This review explores recent advancements in high-throughput development of antibody, highlighting their potential advantages over traditional methods and their promising future. 
653 |a Phages 
653 |a Monoclonal antibodies 
653 |a Genetic modification 
653 |a Library technology 
653 |a Molecular biology 
653 |a High-throughput screening 
653 |a Cloning 
653 |a Genetic engineering 
653 |a Drug development 
653 |a Antigens 
653 |a Automation 
653 |a Yeast 
653 |a Screening 
653 |a Antibody libraries 
653 |a Efficiency 
653 |a Proteins 
653 |a Environmental 
700 1 |a Shi-Ying, Lai 
700 1 |a Xiang-Jing Cai 
700 1 |a Yan-Guang Cong 
700 1 |a Jun-Fa Xu 
700 1 |a Peng-Fei, Zhang 
773 0 |t Journal of Biological Engineering  |g vol. 19 (2025), p. 1 
786 0 |d ProQuest  |t Health & Medical Collection 
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