4.6 Review

Atomic force microscopy for single molecule characterisation of protein aggregation

期刊

ARCHIVES OF BIOCHEMISTRY AND BIOPHYSICS
卷 664, 期 -, 页码 134-148

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.abb.2019.02.001

关键词

Biophysics; Single molecule imaging; Atomic force microscopy; Protein aggregation; Amyloid; Resolution

资金

  1. Swiss National Foundation for Science (SNF) [P2ELP2_162116, P300P2_171219]
  2. Erasmus + program [2018-1-LT01-KA103-046719-15400-P3]
  3. European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013) through the ERC grant PhysProt [337969]
  4. Newman Foundation, United Kingdom
  5. Cambridge Centre for Misfolding Diseases, United Kingdom
  6. Darwin College, Cambridge, United Kingdom [2018-1-LT01-KA103-046719-15400-P3]
  7. Swiss National Science Foundation (SNF) [P2ELP2_162116, P300P2_171219] Funding Source: Swiss National Science Foundation (SNF)

向作者/读者索取更多资源

The development of atomic force microscopy (AFM) has opened up a wide range of novel opportunities in nanoscience and new modalities of observation in complex biological systems. AFM imaging has been widely employed to resolve the complex and heterogeneous conformational states involved in protein aggregation at the single molecule scale and shed light onto the molecular basis of a variety of human pathologies, including neurodegenerative disorders. The study of individual macromolecules at nanoscale, however, remains challenging, especially when fully quantitative information is required. In this review, we first discuss the principles of AFM with a special emphasis on the fundamental factors defining its sensitivity and accuracy. We then review the fundamental parameters and approaches to work at the limit of AFM resolution in order to perform single molecule statistical analysis of biomolecules and nanoscale protein aggregates. This single molecule statistical approach has proved to be powerful to unravel the molecular and hierarchical assembly of the misfolded species present transiently during protein aggregation, to visualise their dynamics at the nanoscale, as well to study the structural properties of amyloid-inspired functional nanomaterials.

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