Digital immunoassay for biomarker concentration quantification using solid-state nanopores
| Autor: | Dmytro Lomovtsev, Kyle Briggs, Matthaios Tsangaris, Erin M. McConnell, Daniel R. Tessier, Vincent Tabard-Cossa, Martin Charron, Liqun He |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Materials science
Science Solid-state General Physics and Astronomy Thyrotropin 02 engineering and technology Diagnostic tools Sensitivity and Specificity General Biochemistry Genetics and Molecular Biology 03 medical and health sciences Nanopores medicine Humans Nanotechnology Sensitivity (control systems) Precision Medicine 030304 developmental biology Immunoassay 0303 health sciences Multidisciplinary medicine.diagnostic_test Dynamic range Reproducibility of Results General Chemistry Blood Proteins DNA 021001 nanoscience & nanotechnology 3. Good health Biomarker (cell) Nanopore Target protein 0210 nano-technology Biological system Algorithms Biomarkers |
| Zdroj: | Nature Communications, Vol 12, Iss 1, Pp 1-11 (2021) |
| ISSN: | 2041-1723 |
| Popis: | Single-molecule counting is the most accurate and precise method for determining the concentration of a biomarker in solution and is leading to the emergence of digital diagnostic platforms enabling precision medicine. In principle, solid-state nanopores—fully electronic sensors with single-molecule sensitivity—are well suited to the task. Here we present a digital immunoassay scheme capable of reliably quantifying the concentration of a target protein in complex biofluids that overcomes specificity, sensitivity, and consistency challenges associated with the use of solid-state nanopores for protein sensing. This is achieved by employing easily-identifiable DNA nanostructures as proxies for the presence (“1”) or absence (“0”) of the target protein captured via a magnetic bead-based sandwich immunoassay. As a proof-of-concept, we demonstrate quantification of the concentration of thyroid-stimulating hormone from human serum samples down to the high femtomolar range. Further optimization to the method will push sensitivity and dynamic range, allowing for development of precision diagnostic tools compatible with point-of-care format. |
| Databáze: | OpenAIRE |
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