来自不同免疫文库的抗体数据分析。
Antibody Data Analysis from Diverse Immune Libraries.
作者信息
Fahad Ahmed S, Gutiérrez-Gonzalez Matías F, Madan Bharat, DeKosky Brandon J
机构信息
The Ragon Institute of Massachusetts General Hospital, Massachusetts Institute of Technology, and Harvard University, Cambridge, Massachusetts 02139, USA.
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
出版信息
Cold Spring Harb Protoc. 2025 Jan 2;2025(1):pdb.prot108627. doi: 10.1101/pdb.prot108627.
Antibody functional screening studies and next-generation sequencing require careful processing and interpretation of sequence data for optimal results. Here, we provide a detailed protocol for the functional analysis of antibody gene data, including antibody repertoire quantification and functional mapping of high-throughput screening data based on enrichment ratio values, which are a simple way to determine the enrichment of each sequenced antibody after sorting a display library against desired antigens. This protocol enables a user to apply a set of simple yet powerful bioinformatic tools for high-throughput analysis and interpretation of antibody data that is especially well suited for display library screening and for antibody discovery applications.
抗体功能筛选研究和新一代测序需要对序列数据进行仔细处理和解读，以获得最佳结果。在此，我们提供了一份详细的抗体基因数据功能分析方案，包括抗体库定量以及基于富集率值对高通量筛选数据进行功能定位，富集率值是在针对所需抗原分选展示文库后确定每个测序抗体富集程度的一种简单方法。该方案使用户能够应用一组简单而强大的生物信息学工具，对抗体数据进行高通量分析和解读，这尤其适用于展示文库筛选和抗体发现应用。
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