Quantitative measurement of binding kinetics in sandwich assay using a fluorescence detection fiber-optic biosensor

Lin, Chi‐Feng; Chen, Hsaing Yin; Yu, Ching‐Han; Lu, Pen Li; Hsieh, Chu Hsin; Hsieh, Bao-Yu; Chang, Yu Lin; Chou, Chien

doi:10.1016/j.ab.2008.11.010

Cited by 22 publications

(14 citation statements)

References 27 publications

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“…We also visualized the confidence intervals of the fit in Figure 2B. A K D of 3.5 nM was estimated, which is a reasonable value for secondary antibody binding (21). The high correlation of K D and R max in Figure 2B is noteworthy: it means that the data can also be described by a higher K D if the maximum value R max was chosen higher and vice versa.…”

Section: Resultsmentioning

confidence: 97%

Determination of binding curves via protein micropatterning in vitro and in living cells

et al. 2012

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Quantification of protein interactions in living cells is of key relevance for understanding cellular signaling. With current techniques, however, it is difficult to determine binding affinities and stoichiometries of protein complexes in the plasma membrane. We introduce here protein micropatterning as a convenient and versatile method for such investigations. Cells are grown on surfaces containing micropatterns of capture antibody to a bait protein, so that the bait gets rearranged in the live cell plasma membrane. Upon interaction with the bait, the fluorescent prey follows the micropatterns, which can be readout with fluorescence microscopy. In this study, we addressed the interaction between Lck and CD4, two central proteins in early T-cell signaling. Binding curves were recorded using the natural fluctuations in the Lck expression levels. Surprisingly, the binding was not saturable up to the highest Lck expression levels: on average, a single CD4 molecule recruited more than nine Lck molecules. We discuss the data in view of protein-and lipid-mediated interactions. '

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Section: Resultsmentioning

confidence: 97%

Determination of binding curves via protein micropatterning in vitro and in living cells

et al. 2012

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“…Narang et al (1997) developed an evanescent wave fiber-optic biosensor for detecting a potently toxic protein, ricin, in the pg/mL range by immobilizing antiricin immunoglobulin G (IgG) onto the surface of an optical fiber. Binding kinetic parameters of IgG and antimouse IgG were measured using fluorescence detection fiber optic biosensor using sandwich assay (Lin et al 2009). Multiple analytes (microcystin-Lr and trinitrotoluene) were detected using monoclonal antibodies against them on fiber optic cable (Long et al 2010 (Kumar et al 2006).…”

Section: Immunoassay Basedmentioning

confidence: 99%

Optical biosensors for food quality and safety assurance—a review

et al. 2011

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Food quality and safety is a scientific discipline describing handling, preparation and storage of food in ways that prevent food borne illness. Food serves as a growth medium for microorganisms that can be pathogenic or cause food spoilage. Therefore, it is imperative to have stringent laws and standards for the preparation, packaging and transportation of food. The conventional methods for detection of food contamination based on culturing, colony counting, chromatography and immunoassay are tedious and time consuming while biosensors have overcome some of these disadvantages. There is growing interest in biosensors due to high specificity, convenience and quick response. Optical biosensors show greater potential for the detection of pathogens, pesticide and drug residues, hygiene monitoring, heavy metals and other toxic substances in the food to check whether it is safe for consumption or not. This review focuses on optical biosensors, the recent developments in the associated instrumentation with emphasis on fiber optic and surface plasmon resonance (SPR) based biosensors for detecting a range of analytes in food samples, the major advantages and challenges associated with optical biosensors. It also briefly covers the different methods employed for the immobilization of bio-molecules used in developing biosensors.

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“…The behaviour of an immunoassay reaction can be predicted by simulation models based on antibody-antigen binding reaction kinetics [2,3,4,5,6]. …”

Section: Introductionmentioning

confidence: 99%

“…The experimental binding kinetic studies of biomolecules are carried out mainly by optical label-free biosensors [6,7,8,9] and label-techniques [2,3,4,5]. The mechanistic assay system model, based on antibody-analyte binding reaction kinetics, has proven to be applicable to the prediction of a rapid generic three-component sandwich-type (immunometric) immunoassay [4,5,10].…”

Section: Introductionmentioning

confidence: 99%

Modelling of multi-component immunoassay kinetics — A new node-based method for simulation of complex assays

Ylander

Hänninen

2010

Biophysical Chemistry

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To cite this version:Pilvi J. Ylander, Pekka Hänninen. Modelling of multi-component immunoassay kinetics -a new node-based method for simulation of complex assays. Biophysical Chemistry, Elsevier, 2010, 151 (3) This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. This method provides an easy and quick way to study complex binding reactions since simulation networks are simple to construct directly from the reaction scheme. This presented new "NODE"-method is compared with the well known mechanistic assay model. A C C E P T E D

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Quantitative measurement of binding kinetics in sandwich assay using a fluorescence detection fiber-optic biosensor

Cited by 22 publications

References 27 publications

Determination of binding curves via protein micropatterning in vitro and in living cells

Determination of binding curves via protein micropatterning in vitro and in living cells

Optical biosensors for food quality and safety assurance—a review

Modelling of multi-component immunoassay kinetics — A new node-based method for simulation of complex assays

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