Direct protein quantification in complex sample solutions by surface-engineered nanorod probes
Title: | Direct protein quantification in complex sample solutions by surface-engineered nanorod probes
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Author: | Schrittwieser, Stefan
Pelaz García, Beatriz
Parak, Wolfgang J.
Lentijo-Mozo, Sergio
Soulantica, Katerina
Dieckhoff, Jan
Ludwig, Frank
Schotter, Joerg
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Affiliation: | Universidade de Santiago de Compostela. Centro de Investigación en Química Biolóxica e Materiais Moleculares Universidade de Santiago de Compostela. Departamento de Física de Partículas
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Subject: | Biosensors | Molecular medicine | Nanoparticles | Nanoscale biophysics | |
Date of Issue: | 2017
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Publisher: | Springer Nature
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Citation: | Schrittwieser, S., Pelaz, B., Parak, W., Lentijo-Mozo, S., Soulantica, K., & Dieckhoff, J. et al. (2017). Direct protein quantification in complex sample solutions by surface-engineered nanorod probes. Scientific Reports, 7(1). doi: 10.1038/s41598-017-04970-5
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Abstract: | Detecting biomarkers from complex sample solutions is the key objective of molecular diagnostics. Being able to do so in a simple approach that does not require laborious sample preparation, sophisticated equipment and trained staff is vital for point-of-care applications. Here, we report on the specific detection of the breast cancer biomarker sHER2 directly from serum and saliva samples by a nanorod-based homogeneous biosensing approach, which is easy to operate as it only requires mixing of the samples with the nanorod probes. By careful nanorod surface engineering and homogeneous assay design, we demonstrate that the formation of a protein corona around the nanoparticles does not limit the applicability of our detection method, but on the contrary enables us to conduct in-situ reference measurements, thus further strengthening the point-of-care applicability of our method. Making use of sandwich assays on top of the nanorods, we obtain a limit of detection of 110 pM and 470 pM in 10-fold diluted spiked saliva and serum samples, respectively. In conclusion, our results open up numerous applications in direct protein biomarker quantification, specifically in point-of-care settings where resources are limited and ease-of-use is of essence |
Publisher version: | https://doi.org/10.1038/s41598-017-04970-5 |
URI: | http://hdl.handle.net/10347/19763
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DOI: | 10.1038/s41598-017-04970-5 |
E-ISSN: | 2045-2322
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Rights: | © The Author(s) 2017. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ Atribución 4.0 Internacional
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