Nicholas Reynolds

Dr. Nicholas Reynolds


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2017 in Chemical Society Reviews
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Journal Article
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Gang WeiGang Wei
Gang Wei
ZSZhiqiang Su
Zhiqiang Su
NRNicholas Reynolds
Nicholas Reynolds
PAPaolo Arosio
Paolo Arosio
IHIan W. Hamley
Ian W. Hamley
RMRaffaele Mezzenga
Raffaele Mezzenga
Self-assembling amyloid materials with various length scales and tailored functions show wide applications in the fields of biomedicine, tissue engineering, energy materials, environmental science, nanodevices, biosensors, optical materials and liquid crystals.

6 October 2011 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
NRNicholas Reynolds
Nicholas Reynolds
ASAlice Soragni
Alice Soragni
MRMichael Rabe
Michael Rabe
DVDorinel Verdes
Dorinel Verdes
ELEnnio Liverani
Ennio Liverani
SSStefan Seeger
Stefan Seeger

24 January 2014 in Biomacromolecules
Verified
Journal Article
Closed access
NRNicholas Reynolds
Nicholas Reynolds
MCMirren Charnley
Mirren Charnley
RMRaffaele Mezzenga
Raffaele Mezzenga
PHPatrick G. Hartley
Patrick G. Hartley

3 March 2014 in Journal of the American Chemical Society
Verified
Journal Article
Closed access
CLCecile Lara
Cecile Lara
NRNicholas Reynolds
Nicholas Reynolds
JBJoshua T. Berryman
Joshua T. Berryman
AXAnqiu Xu
Anqiu Xu
AZAfang Zhang
Afang Zhang
RMRaffaele Mezzenga
Raffaele Mezzenga

13 June 2022 in Nature Communications
Verified
Journal Article
Open access
PDF file
MCMirren Charnley
Mirren Charnley
SISaba Islam
Saba Islam
GBGuneet K. Bindra
Guneet K. Bindra
JEJeremy Engwirda
Jeremy Engwirda
JRJulian Charles Ratcliffe
Julian Charles Ratcliffe
NRNicholas Reynolds
Nicholas Reynolds
COVID-19 is primarily known as a respiratory disease caused by SARS-CoV-2. However, neurological symptoms such as memory loss, sensory confusion, severe headaches, and even stroke are reported in up to 30% of cases and can persist even after the infection is over (long COVID). These neurological symptoms are thought to be produced by the virus infecting the central nervous system, however we don’t understand the molecular mechanisms triggering them. The neurological effects of COVID-19 share similarities to neurodegenerative diseases in which the presence of cytotoxic aggregated amyloid protein or peptides is a common feature. Following the hypothesis that some neurological symptoms of COVID-19 may also follow an amyloid etiology we identified two peptides from the SARS-CoV-2 proteome that self-assemble into amyloid assemblies. Furthermore, these amyloids were shown to be highly toxic to neuronal cells. We suggest that cytotoxic aggregates of SARS-CoV-2 proteins may trigger neurological symptoms in COVID-19.

7 November 2017 in Nature Communications
Verified
Journal Article
Open access
PDF file
NRNicholas Reynolds
Nicholas Reynolds
JAJozef Adamcik
Jozef Adamcik
JBJoshua T. Berryman
Joshua T. Berryman
SHStephan Handschin
Stephan Handschin
AZAli Asghar Hakami Zanjani
Ali Asghar Hakami Zanjani
RMRaffaele Mezzenga
Raffaele Mezzenga
Amyloidogenic model peptides are invaluable for investigating assembly mechanisms in disease related amyloids and in protein folding. During aggregation, such peptides can undergo bifurcation leading to fibrils or crystals, however the mechanisms of fibril-to-crystal conversion are unclear. We navigate herein the energy landscape of amyloidogenic peptides by studying a homologous series of hexapeptides found in animal, human and disease related proteins. We observe fibril-to-crystal conversion occurring within single aggregates via untwisting of twisted ribbon fibrils possessing saddle-like curvature and cross-sectional aspect ratios approaching unity. Changing sequence, pH or concentration shifts the growth towards larger aspect ratio species assembling into stable helical ribbons possessing mean-curvature. By comparing atomistic calculations of desolvation energies for association of peptides we parameterise a kinetic model, providing a physical explanation of fibril-to-crystal interconversion. These results shed light on the self-assembly of amyloidogenic peptides, suggesting amyloid crystals, not fibrils, represent the ground state of the protein folding energy landscape.