Quantify permeability using on-a-chip models in high-throughput applications

Traditionally, to quantify permeability of a biological barrier, the initial slope is used, based on the assumption of sink condition (concentration of the donor is constant, and the receiver increases less than 10%). With on-a-chip barrier models, this assumption fails in cell-free or leaky conditi...

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Autores principales: Soragni, Camilla, Vergroesen, Tessa, Hettema, Nynke, Rabussier, Gwenaëlle, Lanz, Henriëtte L., Trietsch, Sebastian J., de Windt, Leon J., Ng, Chee P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037215/
https://www.ncbi.nlm.nih.gov/pubmed/36861838
http://dx.doi.org/10.1016/j.xpro.2023.102051
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author Soragni, Camilla
Vergroesen, Tessa
Hettema, Nynke
Rabussier, Gwenaëlle
Lanz, Henriëtte L.
Trietsch, Sebastian J.
de Windt, Leon J.
Ng, Chee P.
author_facet Soragni, Camilla
Vergroesen, Tessa
Hettema, Nynke
Rabussier, Gwenaëlle
Lanz, Henriëtte L.
Trietsch, Sebastian J.
de Windt, Leon J.
Ng, Chee P.
author_sort Soragni, Camilla
collection PubMed
description Traditionally, to quantify permeability of a biological barrier, the initial slope is used, based on the assumption of sink condition (concentration of the donor is constant, and the receiver increases less than 10%). With on-a-chip barrier models, this assumption fails in cell-free or leaky conditions, which requires the use of the exact solution. To encounter a time delay from performing the assay and acquiring the data, we present a protocol with the exact equation modified to incorporate a time offset.
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spelling pubmed-100372152023-03-25 Quantify permeability using on-a-chip models in high-throughput applications Soragni, Camilla Vergroesen, Tessa Hettema, Nynke Rabussier, Gwenaëlle Lanz, Henriëtte L. Trietsch, Sebastian J. de Windt, Leon J. Ng, Chee P. STAR Protoc Protocol Traditionally, to quantify permeability of a biological barrier, the initial slope is used, based on the assumption of sink condition (concentration of the donor is constant, and the receiver increases less than 10%). With on-a-chip barrier models, this assumption fails in cell-free or leaky conditions, which requires the use of the exact solution. To encounter a time delay from performing the assay and acquiring the data, we present a protocol with the exact equation modified to incorporate a time offset. Elsevier 2023-01-20 /pmc/articles/PMC10037215/ /pubmed/36861838 http://dx.doi.org/10.1016/j.xpro.2023.102051 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Protocol
Soragni, Camilla
Vergroesen, Tessa
Hettema, Nynke
Rabussier, Gwenaëlle
Lanz, Henriëtte L.
Trietsch, Sebastian J.
de Windt, Leon J.
Ng, Chee P.
Quantify permeability using on-a-chip models in high-throughput applications
title Quantify permeability using on-a-chip models in high-throughput applications
title_full Quantify permeability using on-a-chip models in high-throughput applications
title_fullStr Quantify permeability using on-a-chip models in high-throughput applications
title_full_unstemmed Quantify permeability using on-a-chip models in high-throughput applications
title_short Quantify permeability using on-a-chip models in high-throughput applications
title_sort quantify permeability using on-a-chip models in high-throughput applications
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037215/
https://www.ncbi.nlm.nih.gov/pubmed/36861838
http://dx.doi.org/10.1016/j.xpro.2023.102051
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