scholarly journals Structural Studies of a Crystalline Insulin Analog Complex with Protamine by Atomic Force Microscopy

2000 ◽  
Vol 78 (1) ◽  
pp. 466-473 ◽  
Author(s):  
Christopher M. Yip ◽  
Mark L. Brader ◽  
Bruce H. Frank ◽  
Michael R. DeFelippis ◽  
Michael D. Ward
2002 ◽  
Vol 507-510 ◽  
pp. 649-654 ◽  
Author(s):  
N.V. Didenko ◽  
E.M. Kim ◽  
D.A. Muzychenko ◽  
A.A. Nikulin ◽  
O.A. Aktsipetrov

2000 ◽  
Vol 64 (3) ◽  
pp. 260-264 ◽  
Author(s):  
R.S Qhalid Fareed ◽  
S Juodkazis ◽  
S.H Chung ◽  
T Sugahara ◽  
S Sakai

2020 ◽  
Vol 11 (1) ◽  
pp. 102-115 ◽  
Author(s):  
Liisa Lutter ◽  
Christopher J. Serpell ◽  
Mick F. Tuite ◽  
Louise C. Serpell ◽  
Wei-Feng Xue

AbstractAtomic force microscopy, AFM, is a powerful tool that can produce detailed topographical images of individual nano-structures with a high signal-to-noise ratio without the need for ensemble averaging. However, the application of AFM in structural biology has been hampered by the tip-sample convolution effect, which distorts images of nano-structures, particularly those that are of similar dimensions to the cantilever probe tips used in AFM. Here we show that the tip-sample convolution results in a feature-dependent and non-uniform distribution of image resolution on AFM topographs. We show how this effect can be utilised in structural studies of nano-sized upward convex objects such as spherical or filamentous molecular assemblies deposited on a flat surface, because it causes ‘magnification’ of such objects in AFM topographs. Subsequently, this enhancement effect is harnessed through contact-point based deconvolution of AFM topographs. Here, the application of this approach is demonstrated through the 3D reconstruction of the surface envelope of individual helical amyloid filaments without the need of cross-particle averaging using the contact-deconvoluted AFM topographs. Resolving the structural variations of individual macromolecular assemblies within inherently heterogeneous populations is paramount for mechanistic understanding of many biological phenomena such as amyloid toxicity and prion strains. The approach presented here will also facilitate the use of AFM for high-resolution structural studies and integrative structural biology analysis of single molecular assemblies.


2014 ◽  
Vol 106 (2) ◽  
pp. 266a
Author(s):  
Pamela A. Naulin ◽  
Y. Liu ◽  
A.L. Harris ◽  
Jorge E. Contreras ◽  
Nelson P. Barrera

2020 ◽  
Author(s):  
Liisa Lutter ◽  
Christopher Serpell ◽  
Mick Tuite ◽  
Louise Serpell ◽  
Wei-Feng Xue

ABSTRACTAtomic force microscopy, AFM, is a powerful tool that can produce detailed topographical images of individual nano-structures with a high signal-to-noise ratio without the need for ensemble averaging. However, the application of AFM in structural biology has been hampered by the tip-sample convolution effect, which distorts images of nano-structures, particularly those that are of similar dimensions to the cantilever probe tips used in AFM. Here we show that the tip-sample convolution results in a feature-dependent and non-uniform distribution of image resolution on AFM topographs. We show how this effect can be utilised in structural studies of nano-sized upward convex objects such as spherical or filamentous molecular assemblies deposited on a flat surface, because it causes ‘magnification’ of such objects in AFM topographs. Subsequently, this enhancement effect is harnessed through contact-point based deconvolution of AFM topographs. Here, the application of this approach is demonstrated through the 3D reconstruction of the surface envelope of individual helical amyloid filaments without the need of cross-particle averaging using the contact-deconvoluted AFM topographs. Resolving the structural variations of individual macromolecular assemblies within inherently heterogeneous populations is paramount for mechanistic understanding of many biological phenomena such as amyloid toxicity and prion strains. The approach presented here will also facilitate the use of AFM for high-resolution structural studies and integrative structural biology analysis of single molecular assemblies.


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