4.7 Article

2D polarization imaging as a low-cost fluorescence method to detect α-synuclein aggregation ex vivo in models of Parkinson's disease

Journal

COMMUNICATIONS BIOLOGY
Volume 1, Issue -, Pages -

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s42003-018-0156-x

Keywords

-

Funding

  1. Research Foundation Flanders (FWO)
  2. KU Leuven Research Fund [IDO/13/008]
  3. German research foundation [DFG-TA 1049/1-1]
  4. China Scholarship Council (CSC) [201608110147]
  5. National Natural Science Foundation of China [81430025]
  6. EU-JPND [NEUTARGETs-ANR-14-JPCD-0002-02]

Ask authors/readers for more resources

A hallmark of Parkinson's disease is the formation of large protein-rich aggregates in neurons, where alpha-synuclein is the most abundant protein. A standard approach to visualize aggregation is to fluorescently label the proteins of interest. Then, highly fluorescent regions are assumed to contain aggregated proteins. However, fluorescence brightness alone cannot discriminate micrometer-sized regions with high expression of non-aggregated proteins from regions where the proteins are aggregated on the molecular scale. Here, we demonstrate that 2-dimensional polarization imaging can discriminate between preformed non-aggregated and aggregated forms of alpha-synuclein, and detect increased aggregation in brain tissues of transgenic mice. This imaging method assesses homo-FRET between labels by measuring fluorescence polarization in excitation and emission simultaneously, which translates into higher contrast than fluorescence anisotropy imaging. Exploring earlier aggregation states of alpha-synuclein using such technically simple imaging method could lead to crucial improvements in our understanding of alpha-synuclein-mediated pathology in Parkinson's Disease.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available