2007
DOI: 10.1016/j.jim.2007.08.007
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Deconvolution of antibody affinities and concentrations by non-linear regression analysis of competitive ELISA data

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Cited by 18 publications
(29 citation statements)
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“…of FVIII-binding antibodies, differentiated for IgG subclasses 1-4 and Ig isotypes IgM and IgA, were determined using a competition-based affinity ELISA platform, as described by Hofbauer et al 11 Briefly, the affinity assessment was based on the availability of antibodies for binding to FVIII-coated ELISA plates after competition with FVIII of different molar concentrations in solution. Data for apparent affinities (K A [M 21 ]) were derived from nonlinear regression modeling of competition ELISA DOD, as described by Stevens et al 12 Antibodies without conclusive apparent affinity were considered unspecific and excluded from analysis. Further details of the test principle of the competitionbased affinity ELISA platform are provided in supplemental Methods.…”
Section: Immunologic Analysismentioning
confidence: 99%
“…of FVIII-binding antibodies, differentiated for IgG subclasses 1-4 and Ig isotypes IgM and IgA, were determined using a competition-based affinity ELISA platform, as described by Hofbauer et al 11 Briefly, the affinity assessment was based on the availability of antibodies for binding to FVIII-coated ELISA plates after competition with FVIII of different molar concentrations in solution. Data for apparent affinities (K A [M 21 ]) were derived from nonlinear regression modeling of competition ELISA DOD, as described by Stevens et al 12 Antibodies without conclusive apparent affinity were considered unspecific and excluded from analysis. Further details of the test principle of the competitionbased affinity ELISA platform are provided in supplemental Methods.…”
Section: Immunologic Analysismentioning
confidence: 99%
“…Traditionally, neither label-free biosensor technologies nor competitive immunoassay technologies have allowed the assessment of low-affinity antibodies in a mixture with high-affinity antibodies when both antibody populations recognize the same antigen. Bobrovnik et al 12 and Stevens et al 13 introduced a novel approach that combines competition-based enzyme-linked immunosorbent assay (ELISA) technology with nonlinear regression modeling of the ELISA graphs to facilitate the analysis of 2 antibody clusters with low and high apparent affinity in the same sample. We applied this approach to the analysis of FVIII-specific antibodies present in human plasma samples and established a competition-based ELISA platform that combines the advantages of low sample consumption, no need for antibody purification, the potential to assess apparent affinities of low-affinity and high-affinity antibody clusters in the same sample, and the ability to specify apparent affinities of individual antibody isotypes and IgG subclasses.…”
Section: Introductionmentioning
confidence: 99%
“…In addition, these methods were improved by us [10], and a new method was proposed for estimating affinity of two antibodies, which are found in the studied mixture [11]. The use of our method is very important, if the affinities of two studied antibodies differ greatly from each other.…”
Section: Methodsmentioning
confidence: 99%
“…in TBS or in TBS + protamine. In addition, our method allows determining the relation between concentrations of high affinity and low affinity reagents in the studied samples [11].…”
Section: Methodsmentioning
confidence: 99%
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