Optimizing Quantum Dot Probe Size for Single-Receptor Imaging
Year: 2020
Type: article
Abstract: Quantum dots (QDs) are nanocrystals with bright fluorescence and long-term photostability, attributes particularly beneficial for single-molecule imaging and molecular counting in the life sciences. The size of a QD nanocrystal determines its physicochemical and photophysical properties, both of which dictate the success of imaging applications. Larger nanocrystals typically have better optical properties, with higher brightness, red-shifted emission, reduced blinking, and greater stability. However, larger nanocrystals introduce molecular-labeling biases due to steric hindrance and nonspecific binding. Here, we systematically analyze the impact of nanocrystal size on receptor labeling in live and fixed cells. We designed three (core)shell QDs with red emission (600–700 nm) and crystalline sizes of 3.2, 5.5, and 8.3 nm. After coating with the same multidentate polymer, hydrodynamic sizes were 9.2 nm (QD 9.2 ), 13.3 nm (QD 13.3 ), and 17.4 nm (QD 17.4 ), respectively. The QDs were conjugated to streptavidin and applied as probes for biotinylated neurotransmitter receptors. QD 9.2 exhibited the highest labeling specificity for receptors in the narrow synaptic cleft (∼20–30 nm) in living neurons. However, for dense receptor labeling for molecular counting in live and fixed HeLa cells, QD 13.3 yielded the highest counts. Nonspecific binding rose sharply for hydrodynamic sizes larger than 13.3 nm, with QD 17.4 exhibiting particularly diminished specificity. Our comparisons further highlight needs to continue engineering the smallest QDs to increase single-molecule intensity, suppress blinking frequency, and inhibit nonspecific labeling in fixed and permeabilized cells. These results lay a foundation for designing QD probes with further reduced sizes to achieve unbiased labeling for quantitative and single-molecule imaging.
Source: ACS Nano
Language: English
Subfield: Materials Chemistry
Field: Materials Science
Domain: Physical Sciences
Open Access status: green
Awards: Super-Resolution Microscopy of Small Quantum Dots to Elucidate the Mechanisms of Alzheimer's Disease, Optimization of an in vivo base editing strategy to treat SOD1-linked ALS, G6171904968, G6637251195, Advanced Molecular Probes and Cell Engineering Tools for Accurate Single-Molecule Analysis of Signaling in Individual Cells, Super-Resolution Microscopy of Neuronal Synapses with Advanced Imaging Tools, Tissue microenvironment (TIMe) training program, Engineering platforms for editing RNA with single base resolution, G962519419
OpenAlex ID: W3035257512
