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 cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease
PRX Life
(2026)
(doi: 10.1103/f9hz-xvpr)
Inhibiting Disulfide Bonding in Truncated Tau297–391 Results in Enhanced Self-Assembly of Tau into Seed-Competent Assemblies
ACS Chemical Neuroscience
(2025)
17
124
(doi: 10.1021/acschemneuro.5c00639)
Neurodegeneration emerges at a cellular tipping point between aggregate accumulation and removal
(2025)
(doi: 10.1101/2025.09.08.674880)
Kinetics of seeded protein aggregation: theory and application
(2025)
(doi: 10.48550/arxiv.2503.20941)
A Mathematical Model of Cellular Aggregation Predicts Patterns of Tau Accumulation in Neurodegenerative Disease
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
(2025)
13
e11297
(doi: 10.1002/advs.202511297)
Tau catalyzes amyloid-β aggregation in a fold-dependent manner
(2025)
(doi: 10.1101/2025.10.21.683640)
Beyond prion‐like spreading in neurodegenerative disease
Alzheimer S and Dementia
(2025)
21
e70789
(doi: 10.1002/alz.70789)
General integrated rate law for complex self-assembly reactions reveals the mechanism of amyloid-beta coaggregation.
Phys Chem Chem Phys
(2025)
27
21563
(doi: 10.1039/d5cp01288k)
Rare bioactive tau oligomers from Alzheimer brain support both templated misfolding and fibril formation
bioRxiv
(2025)
2025.09.24.678227
(doi: 10.1101/2025.09.24.678227)
Early synaptic pathology is associated with small tau aggregates in Alzheimer’s disease
(2025)
(doi: 10.1101/2025.09.13.676039)
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