Synthesis and Application of FRET Nanoparticles in the Profiling of a Protease

Marcon, Lionel; Spriet, Corentin; Meehan, Timothy D.; Battersby, Bronwyn J.; Lawrie, Gwendolyn; Héliot, Laurent; Trau, Matt

doi:10.1002/smll.200801887

Cited by 14 publications

(9 citation statements)

References 28 publications

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“…Recently, a fluorescent silica-based “colloidal barcoding” method as one of the optical encoding has been reported by Trau and co-workers. This barcoding method is the first report for tracking of synthetic path during split-and-mix synthesis by using fluorescent silica nanoparticles (NPs) which contain specific, and identifiable combinations of fluorescent dyes 34 35 36 37 . However, a large number of fluorescence-based codes are impractical due to complex nature of the process, which includes issues with spectral overlapping and with fluorescence resonance energy transfer 13 38 .…”

mentioning

confidence: 99%

Direct Identification of On-Bead Peptides Using Surface-Enhanced Raman Spectroscopic Barcoding System for High-Throughput Bioanalysis

Kang

Jeong

Koh

et al. 2015

Sci Rep

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Recently, preparation and screening of compound libraries remain one of the most challenging tasks in drug discovery, biomarker detection, and biomolecular profiling processes. So far, several distinct encoding/decoding methods such as chemical encoding, graphical encoding, and optical encoding have been reported to identify those libraries. In this paper, a simple and efficient surface-enhanced Raman spectroscopic (SERS) barcoding method using highly sensitive SERS nanoparticles (SERS ID) is presented. The 44 kinds of SERS IDs were able to generate simple codes and could possibly generate more than one million kinds of codes by incorporating combinations of different SERS IDs. The barcoding method exhibited high stability and reliability under bioassay conditions. The SERS ID encoding based screening platform can identify the peptide ligand on the bead and also quantify its binding affinity for specific protein. We believe that our SERS barcoding technology is a promising method in the screening of one-bead-one-compound (OBOC) libraries for drug discovery.

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mentioning

confidence: 99%

Direct Identification of On-Bead Peptides Using Surface-Enhanced Raman Spectroscopic Barcoding System for High-Throughput Bioanalysis

Kang

Jeong

Koh

et al. 2015

Sci Rep

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“…Some of the most promising systems for tailored markers are hybrid nanoparticles, which are fabricated by embedding organic dye molecules in a solid particle [2]. This technique has several advantages.…”

Section: Introductionmentioning

confidence: 99%

Counting single Rhodamine 6G dye molecules in organosilicate nanoparticles

et al. 2012

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Rhodamine 6G (R6G) dye molecules have been embedded into organosilicate nanoparticles to improve thermal and chemical stability of these marker molecules. We demonstrate that the well-established method of optical single-particle microscopy can be used to determine the number of dye molecules per nanoparticle in such hybrid materials. Analysing the fluorescence intensity of R6G in single nanoparticles, we obtain an average number of 1.3 – 1.7 dye molecules per nanoparticle as compared to 1 R6G per particle obtained from ensemble experiments. The blinking behaviour of embedded R6G can be described by a power law with an exponent αon/off = − 1.7. Ensemble measurements complete the optical characterization of the nanoparticles, which reveals no pronounced R6G aggregate formation.

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“…Particle-based biosensors are emerging as a feasible alternative to current two-dimensional molecular diagnostics Trau, 2007, 2009;Marcon et al , 2008Marcon et al , , 2009Marcon et al , , 2010Chen et al , 2009;Surawski et al , 2008Surawski et al , , 2009Corrie et al , 2008aCorrie et al , , 2009Johnston et al , 2006Johnston et al , , 2008Vignali, 2000;Bogue, 2005;Kellar and Iannone, 2002;Morgan et al , 2004;Nolan and Mandy, 2006;Nolan and Sklar, 2002). Sample preparation and assay chemistries used by particle-based assays have been adapted from those used for two-dimensional microarray technologies (Nolan and Mandy, 2006;Nolan and Sklar, 2002).…”

Section: Particle-based Biosensorsmentioning

confidence: 99%