The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Direct optical sensing of single unlabelled proteins and super-resolution imaging of their binding sites
Open accessAbstract
Detection of single analyte molecules without the use of any label would improve the sensitivity of current biosensors by orders of magnitude to the ultimate graininess of biological matter. Over two decades, scientists have succeeded in pushing the limits of optical detection to single molecules using fluorescence. However, restrictions in photophysics and labelling protocols make this technique less attractive for biosensing. Recently, mechanisms based on vibrational spectroscopy, photothermal detection, plasmonics and microcavities have been explored for fluorescence-free detection of single biomolecules. Here, we show that interferometric detection of scattering (iSCAT) can achieve this goal in a direct and label-free fashion. In particular, we demonstrate detection of cancer marker proteins in buffer solution and in the presence of other abundant proteins. Furthermore, we present super-resolution imaging of protein binding with nanometer localization precision. The ease of iSCAT instrumentation promises a breakthrough for label-free studies of interactions involving proteins and other small biomolecules. The development of biosensors with improved sensitivity for the detection of biological molecules presents obvious possibilities for improved diagnostic tools in healthcare. Here, the authors present a technique for the label-free detection and super-resolution imaging of single proteins.
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Cites
Imaging Intracellular Fluorescent Proteins at Nanometer Resolution
Betzig, E., Patterson, G. H., Sougrat, R., Lindwasser, O. W., Olenych, S., Bonifacino, J. S., Davidson, M. W., Lippincott-Schwartz, J., & Hess, H. F. (2006) · Science · doi:10.1126/science.1127344 · Cited by 8,772
Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
Rust, M. J., Bates, M., & Zhuang, X. (2006) · Nature Methods · doi:10.1038/nmeth929 · Cited by 8,078
Biosensing with plasmonic nanosensors
Anker, J. N., Hall, W. P., Lyandres, O., Shah, N. C., Zhao, J., & Van Duyne, R. P. (2008) · Nature Materials · doi:10.1038/nmat2162 · Cited by 6,786
Surface Plasmon Resonance Sensors for Detection of Chemical and Biological Species
Homola, J. (2008) · Chemical Reviews · doi:10.1021/cr068107d · Cited by 4,525
Cell-free nucleic acids as biomarkers in cancer patients
Schwarzenbach, H., Hoon, D. S. B., & Pantel, K. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3066 · Cited by 2,891
Precise Nanometer Localization Analysis for Individual Fluorescent Probes
Thompson, R. E., Larson, D. R., & Webb, W. W. (2002) · Biophysical Journal · doi:10.1016/s0006-3495(02)75618-x · Cited by 2,320
Ronkainen, N. J., Halsall, H. B., & Heineman, W. R. (2010) · Chemical Society Reviews · doi:10.1039/b714449k · Cited by 1,945
Chemical mapping of a single molecule by plasmon-enhanced Raman scattering
Zhang, R., Zhang, Y., Dong, Z. C., Jiang, S., Zhang, C., Chen, L. G., Zhang, L., Liao, Y., Aizpurua, J., Luo, Y., et al. (2013) · Nature · doi:10.1038/nature12151 · Cited by 1,770
Biosensors: sense and sensibility
Turner, A. P. F. (2013) · Chemical Society Reviews · doi:10.1039/c3cs35528d · Cited by 1,654
Light scattering and the absolute characterization of macromolecules
Wyatt, P. J. (1993) · Analytica Chimica Acta · doi:10.1016/0003-2670(93)80373-s · Cited by 1,436
Cited by
Quantum superposition of molecules beyond 25 kDa
Fein, Y. Y., Geyer, P., Zwick, P., Kiałka, F., Pedalino, S., Mayor, M., Gerlich, S., & Arndt, M. (2019) · Nature Physics · doi:10.1038/s41567-019-0663-9 · Cited by 353
Interplay between hydrophilicity and surface barriers on water transport in zeolite membranes
Fasano, M., Humplik, T., Bevilacqua, A., Tsapatsis, M., Chiavazzo, E., Wang, E. N., & Asinari, P. (2016) · Nature Communications · doi:10.1038/ncomms12762 · Cited by 123
Metadata
- Authors
- Piliarik, M., & Sandoghdar, V.
- Venue
- Nature Communications
- Published
- 2014-07-29
- Volume
- 5
- Issue
- 1
- Pages
- 4495-4495
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W1819340318
- Cited by
- 332
- References
- 35
- FWCI
- 13.04
- Type
- journal article
- Language
- en
- Open access
- bronze
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