Detection of Cancer Exosomes By a Localized Surface Plasmon Resonance Method Using Gold Nano-Islands
Bibliographic record
Abstract
Introduction Noble metals have a most important property, the Localized Surface Plasmon Resonance (LSPR) that can be tuned by changing the size and shape of the nanoparticles. This property is useful to perform any real-time label-free monitoring of biomolecular interactions, by measuring the shift of the Plasmon band towards longer wavelengths due to the change in the local refractive index upon molecule binding [1, 2]. Exosomes are nano-sized particles (30-100 nm) released to the extracellular space by all cells in large numbers, prospective biomarkers for early-stage cancer diagnosis [3-5]. The aim of the present study is the detection and capture of exosomes, by using (1) a synthetic peptide and (2) antibodies specific to the surface proteins of exosomes. In both approaches, the biomolecules are immobilized on gold (Au) nano-islands. The first approach makes use of a synthetic polypeptide Vn96 (Venceremin) that has a high affinity towards the heat shock proteins present on the surface of exosomes. The second approach is based on the antibodies (CD63, CD81 and CD9) that are specific to the proteins present on the surface of exosomes. Method The gold nano-islands are fabricated by the thermal convection of ex-situ synthesized gold nanoparticles, followed by the heat treatment of substrates at 560oC to tune the size and shape of the particles. Au nano-islands are initially functionalized by 11-mercaptoundecanoic acid (Nanothink) to form a self-assembled monolayer. This layer is activated, using a cross-linker, which is a mixture of N-(3-dimethylaminopropyl)-N′-ethylcarbodiimide hydrochloride (EDC) and N-Hydroxysuccinimide (NHS) in the ratio of 1:1. The activated layer is coated with streptavidin to bind, biotinylated Vn96 peptide to capture exosomes whereas, in the antibody-based approach, streptavidin-biotin step is replaced with the antibodies. To the immobilized molecules of polypeptide/antibody (anti-CD63/81), MCF7 (breast cancer cell line) cell culture conditioned media, containing EVs/exosomes is added. At each successive functionalization and immobilization step, the position of the Au plasmon band in the UV-Visible spectrum is measured and the corresponding shift is calculated. Results The preliminary results obtained by using the two protocols indicate that both approaches have the capability to detect and capture the exosomes for cancer diagnosis. The wavelength shift observed in the antibody-based approach, is relatively higher, compared to the one observed when Vn96 was used to capture the exosomes. By using specifically, the anti-CD63 antibody, there is at least an appreciable increase in the wavelength shift, compared to Vn96 polypeptide. In addition, the sensing protocol can be simplified and the detection can be carried out in a shorter time. Conclusions The quantification of exosomes has been performed by using two different LSPR methods. One approach uses the Vn96 peptide for the capture of exosomes, while the other, makes use of the antibodies corresponding to surface proteins. Both methods provided reliable results. However, the method using antibodies results in a larger shift of the Plasmon band showing a stronger interaction and the method can be carried out in a shorter time. References Nath and A. Chilkoti, “Label-free biosensing by surface plasmon resonance of nanoparticles on glass: optimization of nanoparticle size," Anal. Chem., vol. 76, pp. 5370-5378, 2004 Nath and A. Chilkoti, “Label free colorimetric biosensing using nanoparticles,” J. Fluoresc., vol. 14, pp. 377-389, 2004. María Yáñez-Mó, Pia R.-M. Siljander, Zoraida Andreu, Apolonija Bedina Zavec, Francesc E. Borràs, et al., “Biological properties of extracellular vesicles and their physiological functions,” Journal of Extracellular Vesicles, vol.4: 27066, 2015. Gregor Fuhrmann, Inge K. Herrmann, and Molly M. Stevensa, “Cell-derived vesicles for drug therapy and diagnostics: Opportunities and challenges,” Nano Today, vol.10, pp.397—409, 2015. Bathini, D. Raju, S. Badilescu, et al., “Nano–Bio Interactions of Extracellular Vesicles with Gold Nanoislands for Early Cancer Diagnosis,” Research, vol. 2018, Article ID 3917986, 10 pages, 2018.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".