Thesis
Label-free tracking and mass measurement of single protein complexes on lipid bilayers
- Abstract:
-
Protein-protein interactions are essential for biological processes, but can display a level of polydispersity that is difficult to study with bulk measurements. Recently, mass photometry, a label-free single molecule imaging technique, has been used to quantify protein-protein interactions by measuring the mass of single proteins. So far, however, measurements are limited to solution-based systems and nM concentrations. Here, we aim to expand the applications of mass photometry to proteins on lipid bilayers, and to increase the concentration range of solution-based measurements.
We implement a surface passivation protocol that reduces non-specific binding by up to four orders of magnitude, and apply further surface function- alisation strategies aimed at accessing measurements at μM concentrations. Next, we develop a mass photometry-based method for tracking individual protein complexes on lipid bilayers, thereby demonstrating quantification of oligomer-dependent kinetics and mobilities. We then extend this method to interactions of the HIV-1 envelope glycoprotein (Env) with broadly neutral- ising antibodies. Using our assay, we resolve polydisperse anitbody-induced cross-linking and quantify the corresponding binding affinities. We show that lipid bilayers give access to mass photometry measurements at μM protein concentrations, and demonstrate specific pull-down of target proteins from complex mixtures. Finally, we discuss aspects of the data analysis for these assays with a specific focus on systematic errors in the diffusion and mass measurements, and outline strategies for their correction.
Actions
Authors
Contributors
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Chemistry
- Role:
- Supervisor
- ORCID:
- 0000-0003-0136-7704
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Chemistry
- Role:
- Supervisor
- Institution:
- University of Oxford
- Division:
- MPLS
- Department:
- Chemistry
- Role:
- Supervisor
- Grant:
- EP/L016052/1
- Funder identifier:
- http://dx.doi.org/10.13039/100010363
- Type of award:
- DPhil
- Level of award:
- Doctoral
- Awarding institution:
- University of Oxford
- Language:
-
English
- Keywords:
- Subjects:
- Deposit date:
-
2022-12-04
Terms of use
- Copyright holder:
- Foley, EDB
- Copyright date:
- 2022
If you are the owner of this record, you can report an update to it here: Report update to this record