Templating S100A9 amyloids on Ab fibrillar
surfaces revealed by charge detection mass
spectrometry, microscopy, kinetic and microfluidic
analyses†
Jonathan Pansieri, ‡
a
Igor A. Iashchishyn, ‡
a
Hussein Fakhouri,
b
Lucija Ostoji
´
c,
a
Mantas Malisauskas,
a
Greta Musteikyte,
c
Vytautas Smirnovas,
c
Matthias M. Schneider,
d
Tom Scheidt,
d
Catherine K. Xu,
d
Georg Meisl,
d
Tuomas P. J. Knowles,
de
Ehud Gazit,
af
Rodolphe Antoine
b
and Ludmilla A. Morozova-Roche
*
a
The mechanism of amyloid co-aggregation and its nucleation process are not fully understood in spite of
extensive studies. Deciphering the interactions between proinflammatory S100A9 protein and Ab
42
peptide
in Alzheimer's disease is fundamental since inflammation plays a central role in the disease onset. Here we
use innovative charge detection mass spectrometry (CDMS) together with biophysical techniques to
provide mechanistic insight into the co-aggregation process and differentiate amyloid complexes at
a single particle level. Combination of mass and charge distributions of amyloids together with
reconstruction of the differences between them and detailed microscopy reveals that co-aggregation
involves templating of S100A9 fibrils on the surface of Ab
42
amyloids. Kinetic analysis further
corroborates that the surfaces available for the Ab
42
secondary nucleation are diminished due to the
coating by S100A9 amyloids, while the binding of S100A9 to Ab
42
fibrils is validated by a microfluidic
assay. We demonstrate that synergy between CDMS, microscopy, kinetic and microfluidic analyses
opens new directions in interdisciplinary research.
Introduction
In spite of the key clinical importance of amyloid formation, the
mechanisms of co-aggregation of different amyloid species
remain elusive. Amyloid formation is a widespread phenom-
enon routed in the generic property of polypeptide chains to
self-assemble into cross-b-sheet containing superstructures
1,2
and manifested in numerous amyloid diseases
3,4
and functional
amyloids.
5,6
Comorbidity of these diseases was reported to be
linked to the co-aggregation of amyloidogenic proteins.
7,8
In
Alzheimer's disease (AD), the amyloid-neuroinammatory
cascade is manifested in co-aggregation of Ab with proin-
ammatory S100A9 protein, which leads to intracellular and
extracellular amyloid assembly, amyloid plaque depositions
and cellular toxicity.
9
S100A9 co-aggregates with Ab also in
traumatic brain injury, which is considered as a potential
precursor state for AD.
10
The amyloid self-assembly of Ab was
well described by the involvement of secondary nucleation
pathways promoted by Ab amyloid surface.
11
In contrast, S100A9
undergoes nucleation-dependent autocatalytic amyloid
growth.
12
There is a genuine unmet need to understand the
architecture and mechanism of self-assembly leading to the
formation of hetero-aggregates composed of various amyloid
polypeptides. Since amyloids formed by individual polypeptides
are highly polymorphic,
13–15
their co-aggregates add up to the
complexity and heterogeneity of amyloid mixture. This complex
problem has been addressed previously in a number of studies –
the co-assembly of Ab
40
and Ab
42
was investigated by global
kinetic analysis
16
and FTIR,
17
self-sorted supramolecular nano-
brils by in situ real-time imaging,
18
co-aggregates of wild-type
a-synuclein with the familial mutant variant by dual-colour
scanning for intensely uorescent targets
19
and Ab
42
peptide
a
Department of Medical Biochemistry and Biophysics, Ume˚ a University, SE-90187
Ume˚ a, Sweden. E-mail: ludmilla.morozova-roche@umu.se
b
Institut Lumi` ere Mati` ere, UMR 5306, Universit´ e Claude Bernard Lyon 1, CNRS, Univ
Lyon, F-69100 Villeurbanne, France
c
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, Lithuania
d
Centre for Misfolding Diseases, Department of Chemistry, University of Cambridge,
Lenseld Road, Cambridge CB2 1EW, UK
e
Cavendish Laboratory, Department of Physics, University of Cambridge, JJ Thompson
Ave, CB3 0HE Cambridge, UK
f
School of Molecular Cell Biology and Biotechnology, Tel Aviv University, Tel Aviv
69978, Israel
† Electronic supplementary information (ESI) available: Experimental and
computational details, 10 supplementary gures and 1 table. See DOI:
10.1039/c9sc05905a
‡ Authors with equal contribution.
Cite this: Chem. Sci. , 2020, 11, 7031
All publication charges for this article
have been paid for by the Royal Society
of Chemistry
Received 21st November 2019
Accepted 16th June 2020
DOI: 10.1039/c9sc05905a
rsc.li/chemical-science
This journal is © The Royal Society of Chemistry 2020 Chem. Sci., 2020, 11, 7031–7039 | 7031
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