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
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
J Am Chem Soc
(2015)
137
14673
(doi: 10.1021/jacs.5b07849)
The Aβ40 and Aβ42 peptides self-assemble into separate homomolecular fibrils in binary mixtures but cross-react during primary nucleation
Chem Sci
(2015)
6
4215
(doi: 10.1039/c4sc02517b)
Preventing peptide and protein misbehavior
Proceedings of the National Academy of Sciences of the United States of America
(2015)
112
5267
(doi: 10.1073/pnas.1505170112)
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation
Nat Chem Biol
(2015)
11
229
(doi: 10.1038/NCHEMBIO.1750)
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation
Nature Chemical Biology
(2015)
11
229
(doi: 10.1038/nchembio.1750)
Lipid vesicles trigger α-synuclein aggregation by stimulating primary nucleation
EUROPEAN BIOPHYSICS JOURNAL WITH BIOPHYSICS LETTERS
(2015)
44
S101
Ostwalds rule of stages governs structural transitions and morphology of dipeptide supramolecular polymers
Nature communications
(2014)
5
5219
(doi: 10.1038/ncomms6219)
Differences in nucleation behavior underlie the contrasting aggregation kinetics of the Aβ40 and Aβ42 peptides.
Proc Natl Acad Sci U S A
(2014)
111
9384
(doi: 10.1073/pnas.1401564111)
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