Cargando…

Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies

Protein aggregation is a hallmark of major neurodegenerative disorders. Increasing data suggest that smaller aggregates cause higher toxic response than filamentous aggregates (fibrils). However, the size of small aggregates has challenged their detection within biologically relevant environments. H...

Descripción completa

Detalles Bibliográficos
Autores principales: Morten, Michael J., Sirvio, Liina, Rupawala, Huzefa, Mee Hayes, Emma, Franco, Aitor, Radulescu, Carola, Ying, Liming, Barnes, Samuel J., Muga, Arturo, Ye, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573094/
https://www.ncbi.nlm.nih.gov/pubmed/36206368
http://dx.doi.org/10.1073/pnas.2205591119
_version_ 1784810782035279872
author Morten, Michael J.
Sirvio, Liina
Rupawala, Huzefa
Mee Hayes, Emma
Franco, Aitor
Radulescu, Carola
Ying, Liming
Barnes, Samuel J.
Muga, Arturo
Ye, Yu
author_facet Morten, Michael J.
Sirvio, Liina
Rupawala, Huzefa
Mee Hayes, Emma
Franco, Aitor
Radulescu, Carola
Ying, Liming
Barnes, Samuel J.
Muga, Arturo
Ye, Yu
author_sort Morten, Michael J.
collection PubMed
description Protein aggregation is a hallmark of major neurodegenerative disorders. Increasing data suggest that smaller aggregates cause higher toxic response than filamentous aggregates (fibrils). However, the size of small aggregates has challenged their detection within biologically relevant environments. Here, we report approaches to quantitatively super-resolve aggregates in live cells and ex vivo brain tissues. We show that Amytracker 630 (AT630), a commercial aggregate-activated fluorophore, has outstanding photophysical properties that enable super-resolution imaging of α-synuclein, tau, and amyloid-β aggregates, achieving ∼4 nm precision. Applying AT630 to App(NL-G-F) mouse brain tissues or aggregates extracted from a Parkinson’s disease donor, we demonstrate excellent agreement with antibodies specific for amyloid-β or α-synuclein, respectively, confirming the specificity of AT630. Subsequently, we use AT630 to reveal a linear relationship between α-synuclein aggregate size and cellular toxicity and discovered that aggregates smaller than 450 ± 60 nm (aggregate(450nm)) readily penetrated the plasma membrane. We determine aggregate(450nm) concentrations in six Parkinson’s disease and dementia with Lewy bodies donor samples and show that aggregates in different synucleinopathies demonstrate distinct potency in toxicity. We further show that cell-penetrating aggregates are surrounded by proteasomes, which assemble into foci to gradually process aggregates. Our results suggest that the plasma membrane effectively filters out fibrils but is vulnerable to penetration by aggregates of 450 ± 60 nm. Together, our findings present an exciting strategy to determine specificity of aggregate toxicity within heterogeneous samples. Our approach to quantitatively measure these toxic aggregates in biological environments opens possibilities to molecular examinations of disease mechanisms under physiological conditions.
format Online
Article
Text
id pubmed-9573094
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher National Academy of Sciences
record_format MEDLINE/PubMed
spelling pubmed-95730942022-10-17 Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies Morten, Michael J. Sirvio, Liina Rupawala, Huzefa Mee Hayes, Emma Franco, Aitor Radulescu, Carola Ying, Liming Barnes, Samuel J. Muga, Arturo Ye, Yu Proc Natl Acad Sci U S A Biological Sciences Protein aggregation is a hallmark of major neurodegenerative disorders. Increasing data suggest that smaller aggregates cause higher toxic response than filamentous aggregates (fibrils). However, the size of small aggregates has challenged their detection within biologically relevant environments. Here, we report approaches to quantitatively super-resolve aggregates in live cells and ex vivo brain tissues. We show that Amytracker 630 (AT630), a commercial aggregate-activated fluorophore, has outstanding photophysical properties that enable super-resolution imaging of α-synuclein, tau, and amyloid-β aggregates, achieving ∼4 nm precision. Applying AT630 to App(NL-G-F) mouse brain tissues or aggregates extracted from a Parkinson’s disease donor, we demonstrate excellent agreement with antibodies specific for amyloid-β or α-synuclein, respectively, confirming the specificity of AT630. Subsequently, we use AT630 to reveal a linear relationship between α-synuclein aggregate size and cellular toxicity and discovered that aggregates smaller than 450 ± 60 nm (aggregate(450nm)) readily penetrated the plasma membrane. We determine aggregate(450nm) concentrations in six Parkinson’s disease and dementia with Lewy bodies donor samples and show that aggregates in different synucleinopathies demonstrate distinct potency in toxicity. We further show that cell-penetrating aggregates are surrounded by proteasomes, which assemble into foci to gradually process aggregates. Our results suggest that the plasma membrane effectively filters out fibrils but is vulnerable to penetration by aggregates of 450 ± 60 nm. Together, our findings present an exciting strategy to determine specificity of aggregate toxicity within heterogeneous samples. Our approach to quantitatively measure these toxic aggregates in biological environments opens possibilities to molecular examinations of disease mechanisms under physiological conditions. National Academy of Sciences 2022-10-07 2022-10-11 /pmc/articles/PMC9573094/ /pubmed/36206368 http://dx.doi.org/10.1073/pnas.2205591119 Text en Copyright © 2022 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by/4.0/This open access article is distributed under Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Biological Sciences
Morten, Michael J.
Sirvio, Liina
Rupawala, Huzefa
Mee Hayes, Emma
Franco, Aitor
Radulescu, Carola
Ying, Liming
Barnes, Samuel J.
Muga, Arturo
Ye, Yu
Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title_full Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title_fullStr Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title_full_unstemmed Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title_short Quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
title_sort quantitative super-resolution imaging of pathological aggregates reveals distinct toxicity profiles in different synucleinopathies
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9573094/
https://www.ncbi.nlm.nih.gov/pubmed/36206368
http://dx.doi.org/10.1073/pnas.2205591119
work_keys_str_mv AT mortenmichaelj quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT sirvioliina quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT rupawalahuzefa quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT meehayesemma quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT francoaitor quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT radulescucarola quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT yingliming quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT barnessamuelj quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT mugaarturo quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies
AT yeyu quantitativesuperresolutionimagingofpathologicalaggregatesrevealsdistincttoxicityprofilesindifferentsynucleinopathies