Stoichiometric quantification of spatially dense assemblies with qPAINT

doi:10.1039/c9nr00472f

. 2019 Jul 14;11(26):12460-12464.

doi: 10.1039/c9nr00472f. Epub 2019 May 23.

Stoichiometric quantification of spatially dense assemblies with qPAINT

Matthew A B Baker¹, Daniel J Nieves², Geva Hilzenrat², Jonathan F Berengut², Katharina Gaus², Lawrence K Lee³

Affiliations

¹ School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, New South Wales, Australia and European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au.
² European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au.
³ European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au and Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.

PMID: 31120079
DOI: 10.1039/c9nr00472f

Stoichiometric quantification of spatially dense assemblies with qPAINT

Matthew A B Baker et al. Nanoscale. 2019.

. 2019 Jul 14;11(26):12460-12464.

doi: 10.1039/c9nr00472f. Epub 2019 May 23.

Authors

Matthew A B Baker¹, Daniel J Nieves², Geva Hilzenrat², Jonathan F Berengut², Katharina Gaus², Lawrence K Lee³

Affiliations

¹ School of Biotechnology and Biomolecular Sciences, The University of New South Wales, Sydney, New South Wales, Australia and European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au.
² European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au.
³ European Molecular Biology Laboratory Australia Node for Single Molecule Science, School of Medical Sciences, The University of New South Wales, Sydney, New South Wales, Australia. lawrence.lee@unsw.edu.au and Structural and Computational Biology Division, The Victor Chang Cardiac Research Institute, Darlinghurst, New South Wales, Australia.

PMID: 31120079
DOI: 10.1039/c9nr00472f

Abstract

Quantitative PAINT (qPAINT) is a useful method for counting well-separated molecules within nanoscale assemblies. But whether cross-reactivity in densely-packed arrangements perturbs measurements is unknown. Here we establish that qPAINT measurements are robust even when target molecules are separated by as little as 3 nm, sufficiently close that single-stranded DNA binding sites can interact.

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Stoichiometric quantification of spatially dense assemblies with qPAINT

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Stoichiometric quantification of spatially dense assemblies with qPAINT

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