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High-efficiency dual labeling of influenza virus for single-virus imaging

Paper ID Volume ID Publish Year Pages File Format Full-Text
6501 492 2012 6 PDF Available
Title
High-efficiency dual labeling of influenza virus for single-virus imaging
Abstract

Many viruses invade host cells by entering the cells and releasing their genome for replication, which are remarkable incidents for viral infection. Therefore, the viral internal and external components should be simultaneously labeled and dynamically tracked at single-virus level for further understanding viral infection mechanisms. However, most of the previously reported methods have very low labeling efficiency and require considerable time and effort, which is laborious and inconvenient for researchers. In this work, we report a general strategy to high-efficiently label viral envelope and genome for single-virus imaging with quantum dots (QDs) and Syto 82, respectively. It was found that nearly all viral envelopes could be labeled with QDs with superior stability, which makes it possible to realize global and long-term tracking of single virus in individual cells. Effectively labeling their genome with Syto 82, about 90% of QDs-labeled viruses could be used to monitor the viral genome signal, which may provide valuable information for deeply studying viral genome transport. This is very important and meaningful to investigate the viral infection mechanism. Our labeling strategy has advantage in commonality, convenience and efficiency, which is expected to be widely used in biological research.

Keywords
Dual labeling; Influenza virus; Quantum dot; Single-particle imaging; Bionanotechnology
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High-efficiency dual labeling of influenza virus for single-virus imaging
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Publisher
Database: Elsevier - ScienceDirect
Journal: Biomaterials - Volume 33, Issue 31, November 2012, Pages 7828–7833
Authors
, , , , , , ,
Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us