Marie Curie postdoc fellow
Lundbeck Foundation postdoc fellow
Industrial postdoc, Novozymes
Ph.D. Student, Novo Nordisk STAR programme
Ph.D. Student, Sino-Danish Center
Master Student, Novozymes
A large size-selective DNA nanopore with sensing applications..
Thomsen, S. P., et al. Nature Communications 175, 5655 (2019)
Direct observation of Thermomyces lanuginosus lipase diffusional states by Single Particle Tracking and their remodeling by mutations and inhibition.
Bohr, S. S.-R. et al. Sci Rep 9, 16169 (2019)
Conformational Activation Promotes CRISPR-Cas12a Catalysis and Resetting of the Endonuclease Activity.
Stella, S. et al. Cell 175, 1856–1871.e21 (2018)
Quantification of Functional Dynamics of Membrane Proteins Reconstituted in Nanodiscs Membranes by Single Turnover Functional Readout.
Moses, M. et al. Methods in Enzymology 581, 227-256 (2016)
Characterization of a dynamic metabolon producing the defense compound dhurrin in sorghum.
Laursen, T. et al. Science 354, 890–893 (2016)
Direct observation of proton pumping by a eukaryotic P-type ATPase.
Veshaguri, S. et al. Science 351, 1469–1473 (2016)
Single Enzyme Experiments Reveal a Long-Lifetime Proton Leak State in a Heme-Copper Oxidase.
Li, M. et al. J. Am. Chem. Soc. 137, 16055–16063 (2015)
Membrane curvature enables N-Ras lipid anchor sorting to liquid-ordered membrane phases.
Larsen, J. B. et al. Nat. Chem. Biol. 11, 192-U176 (2015)
Single molecule insights on conformational selection and induced fit mechanism.
Hatzakis, N. S. Biophys. Chem. 186, 46–54 (2014)
Single Molecule Activity Measurements of Cytochrome P450 Oxidoreductase Reveal the Existence of Two Discrete Functional States.
Laursen, T. et al. ACS Chem. Biol. 9, 630–634 (2014)
Single Enzyme Studies Reveal the Existence of Discrete Functional States for Monomeric Enzymes and How They Are ‘Selected’ upon Allosteric Regulation.
Hatzakis, N. S. et al. J. Am. Chem. Soc. 134, 9296–9302 (2012)
Mixing subattolitre volumes in a quantitative and highly parallel manner with soft matter nanofluidics.
Christensen, S. M. et al. Nat. Nanotech. 7, 51-55 (2012)
Python based script for extraction and analysis of .tif formatted image files. The script will identify cells on a image based on set thresholds and parameters. From this a mask will be created to extract the intensity from up to three channels, here corresponding to signal from membrane stain (blue), yellow fluorescent protein (YFP, green) and Cy5/Atto655 (red).