TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms.

Gates Open Research Pub Date : 2024-06-28 eCollection Date: 2023-01-01 DOI:10.12688/gatesopenres.14743.1
Kan Li, Richard H C Huntwork, Gillian Q Horn, S Munir Alam, Georgia D Tomaras, S Moses Dennison
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Abstract

Label-free techniques including Surface Plasmon Resonance (SPR) and Biolayer Interferometry (BLI) are biophysical tools widely used to collect binding kinetics data of bimolecular interactions. To efficiently analyze SPR and BLI binding kinetics data, we have built a new high throughput analysis tool named the TitrationAnalysis. It can be used as a package in the Mathematica scripting environment and ultilize the non-linear curve-fitting module of Mathematica for its core function. This tool can fit the binding time course data and estimate association and dissociation rate constants ( k a and k d respectively) for determining apparent dissociation constant ( K D ) values. The high throughput fitting process is automatic, requires minimal knowledge on Mathematica scripting and can be applied to data from multiple label-free platforms. We demonstrate that the TitrationAnalysis is optimal to analyze antibody-antigen binding data acquired on Biacore T200 (SPR), Carterra LSA (SPR imaging) and ForteBio Octet Red384 (BLI) platforms. The k a , k d and K D values derived using TitrationAnalysis very closely matched the results from the commercial analysis software provided specifically for these instruments. Additionally, the TitrationAnalysis tool generates user-directed customizable results output that can be readily used in downstream Data Quality Control associated with Good Clinical Laboratory Practice operations. With the versatility in source of data input source and options of analysis result output, the TitrationAnalysis high throughput analysis tool offers investigators a powerful alternative in biomolecular interaction characterization.

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滴定分析:用于多个无标记平台的高通量结合动力学数据分析的工具
包括表面等离子体共振(SPR)和生物层干涉术(BLI)在内的无标记技术是广泛用于收集双分子相互作用的结合动力学数据的生物物理工具。为了有效地分析SPR和BLI结合动力学数据,我们建立了一个新的高通量分析工具,名为滴定分析。它可以作为一个包在Mathematica脚本环境中使用,并将Mathematica的非线性曲线拟合模块用于其核心功能。该工具可以拟合结合时程数据,并估计缔合和离解速率常数(分别为ka和kd),以确定表观离解常数(kd)值。高通量拟合过程是自动的,只需要最少的Mathematica脚本知识,并且可以应用于来自多个无标签平台的数据。我们证明,滴定分析是分析在Biacore T200(SPR)、Carterra LSA(SPR成像)和ForteBio Octet Red384(BLI)平台上获得的抗体-抗原结合数据的最佳方法。使用滴定分析得出的ka、kd和kd值与专门为这些仪器提供的商业分析软件的结果非常吻合。此外,滴定分析工具生成用户导向的可定制结果输出,可在与良好临床实验室操作相关的下游数据质量控制中轻松使用。滴定分析高通量分析工具具有数据输入源和分析结果输出选项的多功能性,为研究人员提供了生物分子相互作用表征的强大替代方案。
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来源期刊
Gates Open Research
Gates Open Research Immunology and Microbiology-Immunology and Microbiology (miscellaneous)
CiteScore
3.60
自引率
0.00%
发文量
90
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