Modeling single cell antibody excretion on a biosensor.

Autor: Stojanović I; Medical Cell Biophysics Group, MIRA Institute, Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands. Electronic address: i.stojanovic@utwente.nl., Baumgartner W; Medical Cell Biophysics Group, MIRA Institute, Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands., van der Velden TJ; Medical Cell Biophysics Group, MIRA Institute, Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands; IBIS Technologies, 7521 PR Enschede, The Netherlands., Terstappen LW; Medical Cell Biophysics Group, MIRA Institute, Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands., Schasfoort RB; Medical Cell Biophysics Group, MIRA Institute, Faculty of Science and Technology, University of Twente, 7500 AE Enschede, The Netherlands; IBIS Technologies, 7521 PR Enschede, The Netherlands.
Jazyk: angličtina
Zdroj: Analytical biochemistry [Anal Biochem] 2016 Jul 01; Vol. 504, pp. 1-3. Date of Electronic Publication: 2016 Mar 31.
DOI: 10.1016/j.ab.2016.03.018
Abstrakt: We simulated, using Comsol Multiphysics, the excretion of antibodies by single hybridoma cells and their subsequent binding on a surface plasmon resonance imaging (SPRi) sensor. The purpose was to confirm that SPRi is suitable to accurately quantify antibody (anti-EpCAM) excretion. The model showed that antibody loss by diffusion away from the sensor was less than 1%. Unexpectedly, more than 99% of the excreted antibodies were captured on the sensor. These data prove the remarkable phenomenon that the SPRi output of cellular antibody excretion and its subsequent binding, performed under the conditions described here, is directly usable for quantification of single cell antibody production rates.
(Copyright © 2016 Elsevier Inc. All rights reserved.)
Databáze: MEDLINE
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