Hauptseite > Publikationsdatenbank > sFIDA automation yields sub-femtomolar limit of detection for Aβ aggregates in body fluids > print |
001 | 823896 | ||
005 | 20210129224900.0 | ||
024 | 7 | _ | |a 10.1016/j.clinbiochem.2016.11.001 |2 doi |
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100 | 1 | _ | |a Herrmann, Yvonne |0 P:(DE-Juel1)159122 |b 0 |u fzj |
245 | _ | _ | |a sFIDA automation yields sub-femtomolar limit of detection for Aβ aggregates in body fluids |
260 | _ | _ | |a Amsterdam [u.a.] |c 2017 |b Elsevier Science |
336 | 7 | _ | |a article |2 DRIVER |
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520 | _ | _ | |a Objectives: Alzheimer's disease (AD) is a neurodegenerative disorder with yet non-existent therapeutic and limited diagnostic options. Reliable biomarker-based AD diagnostics are of utmost importance for the development and application of therapeutic substances. Wehave previously introduced a platformtechnology designated ‘sFIDA’ for the quantitation of amyloid β peptide (Aβ) aggregates as AD biomarker. In this study we implemented the sFIDA assay on an automated platform to enhance robustness and performance of the assay.Design and methods: In sFIDA (surface-based fluorescence intensity distribution analysis) Aβ species are immobilized by a capture antibody to a glass surface. Aβ aggregates are then multiply loaded with fluorescent antibodies and quantitated by high resolution fluorescence microscopy. As a model system for Aβ aggregates, weused Aβ-conjugated silica nanoparticles (Aβ-SiNaPs) diluted in PBS buffer and cerebrospinal fluid, respectively. Automation of the assay was realized on a liquid handling system in combination with a microplate washer.Results: The automation of the sFIDA assay results in improved intra-assay precision, linearity and sensitivity in comparison to the manual application, and achieved a limit of detection in the sub-femtomolar range.Conclusions: Automation improves the precision and sensitivity of the sFIDA assay, which is a prerequisite for high-throughput measurements and future application of the technology in routine AD diagnostics. |
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700 | 1 | _ | |a Hülsemann, Maren |0 P:(DE-Juel1)145968 |b 3 |
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700 | 1 | _ | |a Willbold, Dieter |0 P:(DE-Juel1)132029 |b 11 |e Corresponding author |
773 | _ | _ | |a 10.1016/j.clinbiochem.2016.11.001 |g p. S0009912016305008 |0 PERI:(DE-600)1496880-0 |n 4-5 |p 244-247 |t Clinical biochemistry |v 50 |y 2017 |x 0009-9120 |
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