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Department of Physics
Credit: Jack Hobhouse

Raman Van Wee

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raman.vanwee@sjc.ox.ac.uk
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  • Publications

Full-Length Single-Molecule Protein Fingerprinting

(2023)

Authors:

Mike Filius, Raman van Wee, Carlos de Lannoy, Ilja Westerlaken, Zeshi Li, Sung Hyun Kim, Cecilia de Agrela Pinto, Yunfei Wu, Geert-Jan Boons, Martin Pabst, Dick de Ridder, Chirlmin Joo
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MukBEF-dependent chromosomal organization in widened Escherichia coli

(2022)

Authors:

Aleksandre Japaridze, Raman van Wee, Christos Gogou, Jacob Kerssemakers, Cees Dekker
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Completing the canvas: advances and challenges for DNA-PAINT super-resolution imaging.

Trends in biochemical sciences 46:11 (2021) 918-930

Authors:

Raman van Wee, Mike Filius, Chirlmin Joo

Abstract:

Single-molecule localization microscopy (SMLM) is a potent tool to examine biological systems with unprecedented resolution, enabling the investigation of increasingly smaller structures. At the forefront of these developments is DNA-based point accumulation for imaging in nanoscale topography (DNA-PAINT), which exploits the stochastic and transient binding of fluorescently labeled DNA probes. In its early stages the implementation of DNA-PAINT was burdened by low-throughput, excessive acquisition time, and difficult integration with live-cell imaging. However, recent advances are addressing these challenges and expanding the range of applications of DNA-PAINT. We review the current state of the art of DNA-PAINT in light of these advances and contemplate what further developments remain indispensable to realize live-cell imaging.
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Evaluation of FRET X for single-molecule protein fingerprinting.

iScience 24:11 (2021) 103239

Authors:

Carlos Victor de Lannoy, Mike Filius, Raman van Wee, Chirlmin Joo, Dick de Ridder

Abstract:

Single-molecule protein identification is an unrealized concept with potentially ground-breaking applications in biological research. We propose a method called FRET X (Förster Resonance Energy Transfer via DNA eXchange) fingerprinting, in which the FRET efficiency is read out between exchangeable dyes on protein-bound DNA docking strands and accumulated FRET efficiencies constitute the fingerprint for a protein. To evaluate the feasibility of this approach, we simulated fingerprints for hundreds of proteins using a coarse-grained lattice model and experimentally demonstrated FRET X fingerprinting on model peptides. Measured fingerprints are in agreement with our simulations, corroborating the validity of our modeling approach. In a simulated complex mixture of >300 human proteins of which only cysteines, lysines, and arginines were labeled, a support vector machine was able to identify constituents with 95% accuracy. We anticipate that our FRET X fingerprinting approach will form the basis of an analysis tool for targeted proteomics.
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Best practice mass photometry: A guide to optimal single molecule mass measurement

Authors:

Jiří Kratochvíl, Raman van Wee, Dan Loewenthal, Jan Christoph Thiele, Jack Bardzil, Kishwar Iqbal, Stephen Thorpe, Philipp Kukura
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