Loading…
Real-time imaging and quantification of amyloid-beta peptide aggregates by novel quantum-dot nanoprobes
Protein aggregation plays a major role in the pathogenesis of neurodegenerative disorders, such as Alzheimer's disease. However, direct real-time imaging of protein aggregation, including oligomerization and fibrillization, has never been achieved. Here we demonstrate the preparation of fluores...
Saved in:
Published in: | PloS one 2009-12, Vol.4 (12), p.e8492 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Summary: | Protein aggregation plays a major role in the pathogenesis of neurodegenerative disorders, such as Alzheimer's disease. However, direct real-time imaging of protein aggregation, including oligomerization and fibrillization, has never been achieved. Here we demonstrate the preparation of fluorescent semiconductor nanocrystal (quantum dot; QD)-labeled amyloid-beta peptide (QDAbeta) and its advanced applications.
The QDAbeta construct retained Abeta oligomer-forming ability, and the sizes of these oligomers could be estimated from the relative fluorescence intensities of the imaged spots. Both QDAbeta coaggregation with intact Abeta42 and insertion into fibrils were detected by fluorescence microscopy. The coaggregation process was observed by real-time 3D imaging using slit-scanning confocal microscopy, which showed a typical sigmoid curve with 1.5 h in the lag-time and 12 h until saturation. Inhibition of coaggregation using an anti-Abeta antibody can be observed as 3D images on a microscopic scale. Microglia ingested monomeric QDAbeta more significantly than oligomeric QDAbeta, and the ingested QDAbeta was mainly accumulated in the lysosome.
These data demonstrate that QDAbeta is a novel nanoprobe for studying Abeta oligomerization and fibrillization in multiple modalities and may be applicable for high-throughput drug screening systems. |
---|---|
ISSN: | 1932-6203 1932-6203 |
DOI: | 10.1371/journal.pone.0008492 |