Research Associate
Education
2016 - PhD in Biophysical Chemistry, University of Cambridge
2011 - MSci in Natural Sciences, Chemistry, UNiversity of Cambridge
2010 - Cambridge-MIT Exchange Program, Massachusetts Institute of Technology
Research Interests
Development and application of fundamental biophysical theories to data analysis in a biologically relevant context, Protein Aggregation, Biophysical Chemistry, High Throughput Screening
Selected Publications
- G Meisl, E Hidari, K Allinson, T Rittman, SL DeVos, JS Sanchez, CK Xu, KE Duff, KA Johnson, JB Rowe, BT Hyman, TPJ Knowles and D Klenerman "In vivo rate-determining steps of tau seed accumulation in Alzheimer’s disease", Science Advances 7, eabh1448 (2021)
- G Meisl, T Kurt, I Condado-Morales, C Bett, S Sorce, M Nuvolone, TCT Michaels, D Heinzer, M Avar, SIA Cohen, S Horneman, A Aguzzi, CM Dobson, CJ Sigurdson and TPJ Knowles “Scaling analysis reveals the mechanism and rates of prion replication in vivo”, Nature Structural and Molecular Biology 28, 365 (2021)
- G Meisl, TPJ Knowles, D Klenerman “The molecular processes underpinning prion-like spreading and seed amplification in protein aggregation.” Current Opinion in Neurobiology 61, 58 (2020)
- G Meisl, L Rajah, SAI Cohen, M Pfammatter, A Šarić, E Hellstrand, AK Buell, A Aguzzi, S Linse, M Vendruscolo, CM Dobson and TPJ Knowles, "Scaling behaviour and rate-determining steps in filamentous self-assembly", Chemcial Science (2017)
- G Meisl, X Yang, CM Dobson, S Linse and TPJ Knowles, "Modulation of electrostatic interactions to reveal a reaction network unifying the aggregation behaviour of the Aβ42 peptide and its variants", Chemical Science 8, 4352 (2017)
- G Meisl, JB Kirkegaard, P Arosio, M Vendruscolo, CM Dobson, S Linse and TPJ Knowles, “Molecular mechanisms of protein aggregation from global fitting of kinetic models”, Nature Protocols 11, 252 (2016)
- G Meisl, X Yang, E Hellstrand, B Frohm, JB Kirkegaard, SIA Cohen, CM Dobson, S Linse and TPJ Knowles, "Differences in nucleation behavior underlie the contrasting aggregation kinetics of the Aβ40 and Aβ42 peptides.", Proceedings of the National Academy of Sciences, 111, 9384 (2014)
Publications
A general reaction network unifies the aggregation behaviour of the A$β$42 peptide and its variants
(2016)
(doi: 10.1039/C7SC00215G)
A general reaction network unifies the aggregation behaviour of the A$β$42 peptide and its variants
(2016)
(doi: 10.48550/arxiv.1604.00828)
An Environmentally Sensitive Fluorescent Dye as a Multidimensional Probe of Amyloid Formation.
Journal of Physical Chemistry B
(2016)
120
2087
(doi: 10.1021/acs.jpcb.5b09663)
Quantitative analysis of intrinsic and extrinsic factors in the aggregation mechanism of Alzheimer-associated Aβ-peptide
Sci Rep
(2016)
6
18728
(doi: 10.1038/srep18728)
Molecular mechanisms of protein aggregation from global fitting of kinetic models
Nature protocols
(2016)
11
252
(doi: 10.1038/nprot.2016.010)
N-Terminal Extensions Retard Aβ42 Fibril Formation but Allow Cross-Seeding and Coaggregation with Aβ42
Journal of the American Chemical Society
(2015)
137
14673
(doi: 10.1021/jacs.5b07849)
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation
EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS
(2015)
44
S101
The Aβ40 and Aβ42 peptides self-assemble into separate homomolecular fibrils in binary mixtures but cross-react during primary nucleation
Chemical science
(2015)
6
4215
(doi: 10.1039/c4sc02517b)
Preventing peptide and protein misbehavior.
Proceedings of the National Academy of Sciences
(2015)
112
5267
(doi: 10.1073/pnas.1505170112)
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation
Nature chemical biology
(2015)
11
229
(doi: 10.1038/NCHEMBIO.1750)
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