Structural Contributions to Hydrodynamic Diameter for Quantum Dots Optimized for Live-Cell Single-Molecule Tracking.
Structural Contributions to Hydrodynamic Diameter for Quantum Dots Optimized for Live-Cell Single-Molecule Tracking.
复制标题
针对活细胞单分子跟踪优化的量子点的流体动力学直径的结构贡献。
DOI:
10.1021/acs.jpcc.8b02516
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发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Selvin,PaulR
中科院分区:
文献类型:
--
作者:
Sheung,JanetY;Ge,Pinghua;Lim,SungJun;Lee,SangHak;Smith,AndrewM;Selvin,PaulR
Quantum dots are fluorescent nanoparticles with narrow-band, size-tunable, and long-lasting emission. Typical formulations used for imaging proteins in cells are hydrodynamically much larger than the protein targets, so it is critical to assess the impact of steric effects deriving from hydrodynamic size. This report analyzes a new class of quantum dots that have been engineered for minimized size specifically for imaging receptors in narrow synaptic junctions between neurons. We use fluorescence correlation spectroscopy and transmission electron microscopy to calculate the contributions of the crystalline core, organic coating, and targeting proteins (streptavidin) to the total hydrodynamic diameter of the probe, using a wide range of core materials with emission spanning 545–705 nm. We find the contributing thickness of standard commercial amphiphilic polymers to be ∼8 to ∼14 nm, whereas coatings based on the compact ligand HS-(CH2)11-(OCH2CH2)4-OH contribute ∼6 to ∼9 nm, reducing the diameter by ∼2 to ∼5 nm, depending on core size. When the number of streptavidins for protein targeting is minimized, the total diameter can be further reduced by ∼5 to ∼11 nm, yielding a diameter of 13.8–18.4 nm. These findings explain why access to the narrow synapse derive primarily from the protein functionalization of commercial variants, rather than the organic coating layers. They also explain why those quantum dots with size around 14 nm with only a few streptavidins can access narrow cellular structures for neuronal labeling, whereas those >27 nm and a large number of streptavidins, cannot.
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影响因子:
15
作者:
Ma, Liang;Tu, Chunlai;Smith, Andrew M.
通讯作者:
Smith, Andrew M.
DOI:
10.1073/pnas.97.1.151
发表时间:
2000-01-04
影响因子:
11.1
作者:
Schwille, P;Kummer, S;Webb, WW
通讯作者:
Webb, WW
影响因子:
3.3
作者:
de Thomaz, A. A.;Almeida, D. B.;Cesar, C. L.
通讯作者:
Cesar, C. L.
DOI:
10.1101/096966
发表时间:
2016
期刊:
bioRxiv
影响因子:
--
作者:
Sang Hak Lee;Chaoyi Jin;En Cai;Pinghua Ge;Y. Ishitsuka;K. Teng;A. Thomaz;Duncan L Nall;M. Baday;Okunola Jeyifous;D. Demonte;Christopher M. Dundas;Sheldon Park;W. N. Green;P. Selvin
通讯作者:
P. Selvin
影响因子:
16.6
作者:
Cai, En;Ge, Pinghua;Lee, Sang Hak;Jeyifous, Okunola;Wang, Yong;Liu, Yanxin;Wilson, Katie M.;Lim, Sung Jun;Baird, Michelle A.;Stone, John E.;Lee, Kwan Young;Davidson, Michael W.;Chung, Hee Jung;Schulten, Klaus;Smith, Andrew M.;Green, William N.;Selvin, Paul R.
通讯作者:
Selvin, Paul R.