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

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 too...

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Autores principales: Li, Kan, Huntwork, Richard H.C., Horn, Gillian Q., Alam, S. Munir, Tomaras, Georgia D., Dennison, S. Moses
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667272/
https://www.ncbi.nlm.nih.gov/pubmed/38009106
http://dx.doi.org/10.12688/gatesopenres.14743.1
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author Li, Kan
Huntwork, Richard H.C.
Horn, Gillian Q.
Alam, S. Munir
Tomaras, Georgia D.
Dennison, S. Moses
author_facet Li, Kan
Huntwork, Richard H.C.
Horn, Gillian Q.
Alam, S. Munir
Tomaras, Georgia D.
Dennison, S. Moses
author_sort Li, Kan
collection PubMed
description 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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spelling pubmed-106672722023-07-04 TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms Li, Kan Huntwork, Richard H.C. Horn, Gillian Q. Alam, S. Munir Tomaras, Georgia D. Dennison, S. Moses Gates Open Res Software Tool Article 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. F1000 Research Limited 2023-07-04 /pmc/articles/PMC10667272/ /pubmed/38009106 http://dx.doi.org/10.12688/gatesopenres.14743.1 Text en Copyright: © 2023 Li K et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software Tool Article
Li, Kan
Huntwork, Richard H.C.
Horn, Gillian Q.
Alam, S. Munir
Tomaras, Georgia D.
Dennison, S. Moses
TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title_full TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title_fullStr TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title_full_unstemmed TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title_short TitrationAnalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
title_sort titrationanalysis: a tool for high throughput binding kinetics data analysis for multiple label-free platforms
topic Software Tool Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667272/
https://www.ncbi.nlm.nih.gov/pubmed/38009106
http://dx.doi.org/10.12688/gatesopenres.14743.1
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