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CMP
Credit: Jack Hobhouse

Professor Achillefs Kapanidis

Professor of Biological Physics

Research theme

  • Biological physics

Sub department

  • Condensed Matter Physics

Research groups

  • Gene machines
Achillefs.Kapanidis@physics.ox.ac.uk
Telephone: 01865 (2)72226
Biochemistry Building
groups.physics.ox.ac.uk/genemachines/group
  • About
  • Publications

High-throughput nitrogen-vacancy center imaging for nanodiamond photophysical characterization and pH nanosensing

Nanoscale Royal Society of Chemistry 12:42 (2020) 21821-21831

Authors:

Maabur Sow, Horst Steuer, Sanmi Adekanye, Laia Ginés, Soumen Mandal, Barak Gilboa, Oliver A Williams, Jason M Smith, Achillefs N Kapanidis

Abstract:

The fluorescent nitrogen-vacancy (NV) defect in diamond has remarkable photophysical properties, including high photostability which allows stable fluorescence emission for hours; as a result, there has been much interest in using nanodiamonds (NDs) for applications in quantum optics and biological imaging. Such applications have been limited by the heterogeneity of NDs and our limited understanding of NV photophysics in NDs, which is partially due to the lack of sensitive and high-throughput methods for photophysical analysis of NDs. Here, we report a systematic analysis of NDs using two-color wide-field epifluorescence imaging coupled to high-throughput single-particle detection of single NVs in NDs with sizes down to 5-10 nm. By using fluorescence intensity ratios, we observe directly the charge conversion of single NV center (NV- or NV0) and measure the lifetimes of different NV charge states in NDs. We also show that we can use changes in pH to control the main NV charge states in a direct and reversible fashion, a discovery that paves the way for performing pH nanosensing with a non-photobleachable probe.
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Closing and opening of the RNA polymerase trigger loop

Proceedings of the National Academy of Sciences National Academy of Sciences 117:27 (2020) 15642-15649

Authors:

Abhishek Mazumder, Miaoxin Lin, Achillefs N Kapanidis, Richard H Ebright

Abstract:

The RNA polymerase (RNAP) trigger loop (TL) is a mobile structural element of the RNAP active center that, based on crystal structures, has been proposed to cycle between an "unfolded"/"open" state that allows an NTP substrate to enter the active center and a "folded"/"closed" state that holds the NTP substrate in the active center. Here, by quantifying single-molecule fluorescence resonance energy transfer between a first fluorescent probe in the TL and a second fluorescent probe elsewhere in RNAP or in DNA, we detect and characterize TL closing and opening in solution. We show that the TL closes and opens on the millisecond timescale; we show that TL closing and opening provides a checkpoint for NTP complementarity, NTP ribo/deoxyribo identity, and NTP tri/di/monophosphate identity, and serves as a target for inhibitors; and we show that one cycle of TL closing and opening typically occurs in each nucleotide addition cycle in transcription elongation.
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The FRET-based structural dynamics challenge -- community contributions to consistent and open science practices

(2020)

Authors:

Eitan Lerner, Benjamin Ambrose, Anders Barth, Victoria Birkedal, Scott C Blanchard, Richard Borner, Thorben Cordes, Timothy D Craggs, Taekjip Ha, Gilad Haran, Thorsten Hugel, Antonino Ingargiola, Achillefs Kapanidis, Don C Lamb, Ted Laurence, Nam ki Lee, Edward A Lemke, Emmanuel Margeat, Jens Michaelis, Xavier Michalet, Daniel Nettels, Thomas-Otavio Peulen, Benjamin Schuler, Claus AM Seidel, Hamid So-leimaninejad, Shimon Weiss
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Single-molecule Analysis Reveals the Mechanism for DNA Opening in Transcription Initiation

Biophysical Journal Elsevier 118:3 (2020) 29a

Authors:

Abhishek Mazumder, Richard H Ebright, Achillefs N Kapanidis
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Unravelling the reaction mechanism and kinetics of dnazymes based on bulk and single molecule studies

MicroTAS 2020 - 24th International Conference on Miniaturized Systems for Chemistry and Life Sciences (2020) 1109-1110

Authors:

AM Pagès, P de Keyser, V Top, R Andrews, M Hertog, AN Kapanidis, D Spasic, J Lammertyn

Abstract:

In this work we present a mathematical approach to model the kinetic behavior of DNA enzymes (DNAzymes) in order to predict their activity, which will assist future sequence designs. The model has been designed based on multiple previous reports since no general reaction mechanism has been fully described for DNAzymes to date. To better understand this, we also present first of its kind study of the DNAzyme catalytic reaction at the single molecule (SM) level.

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