Literature DB >> 35951292

Measuring the Size and Spontaneous Fluctuations of Amyloid Aggregates with Fluorescence Correlation Spectroscopy.

Vicky Vishvakarma1, Sudipta Maiti2.   

Abstract

Bacterial amyloids decorate the cell surface of many bacteria by forming functional amyloid fibers. These amyloids have structural and biochemical similarities with many disease-related amyloids in eukaryotes. Amyloid aggregation starts at the individual monomer level, and the end product is the amyloid fibril. The process of amyloid aggregation involves a continuous increase of the aggregate size, and therefore size is a critical parameter to measure in aggregation experiments. Also, our understanding of the aggregation process, and our ability to design interventions, can benefit from a measurement of the conformational dynamics of proteins undergoing aggregation. Fluorescence correlation spectroscopy (FCS) is perhaps the most sensitive and rapid technique available currently for this purpose. It can measure the average size and the size distribution of molecules and aggregates down to sub-nm length scales and can also measure fast nanosecond time-scale conformational dynamics, all in an equilibrium solution. FCS achieves this by measuring the fluorescence intensity fluctuations of freely diffusing protein molecules in an optically defined microscopic probe volume in a solution. Here, we present a set of instructions for effectively measuring the size and dynamics of amyloid aggregates with FCS.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Aggregate size measurement; Amyloid oligomers; Fluorescence cross-correlation spectroscopy; Protein aggregation; Protein diffusion; Protein dynamics

Mesh:

Substances:

Year:  2022        PMID: 35951292     DOI: 10.1007/978-1-0716-2529-3_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  14 in total

1.  Measuring diffusion in cell membranes by fluorescence correlation spectroscopy.

Authors:  Parijat Sengupta; J Balaji; Sudipta Maiti
Journal:  Methods       Date:  2002-08       Impact factor: 3.608

2.  Amyloid beta-peptide polymerization studied using fluorescence correlation spectroscopy.

Authors:  L O Tjernberg; A Pramanik; S Björling; P Thyberg; J Thyberg; C Nordstedt; K D Berndt; L Terenius; R Rigler
Journal:  Chem Biol       Date:  1999-01

Review 3.  Alzheimer Disease: An Update on Pathobiology and Treatment Strategies.

Authors:  Justin M Long; David M Holtzman
Journal:  Cell       Date:  2019-09-26       Impact factor: 41.582

4.  Rapid, cell-free assay for membrane-active forms of amyloid-β.

Authors:  Debanjan Bhowmik; Anand Kant Das; Sudipta Maiti
Journal:  Langmuir       Date:  2014-10-17       Impact factor: 3.882

5.  Kinetic diversity of amyloid oligomers.

Authors:  Alexander J Dear; Thomas C T Michaels; Georg Meisl; David Klenerman; Si Wu; Sarah Perrett; Sara Linse; Christopher M Dobson; Tuomas P J Knowles
Journal:  Proc Natl Acad Sci U S A       Date:  2020-05-15       Impact factor: 11.205

6.  Amyloid β (1-40) Toxicity Depends on the Molecular Contact between Phenylalanine 19 and Leucine 34.

Authors:  Alexander Korn; Steffane McLennan; Juliane Adler; Martin Krueger; Dayana Surendran; Sudipta Maiti; Daniel Huster
Journal:  ACS Chem Neurosci       Date:  2017-12-27       Impact factor: 4.418

7.  Spontaneous Fluctuations Can Guide Drug Design Strategies for Structurally Disordered Proteins.

Authors:  Barun Kumar Maity; Vicky Vishvakarma; Dayana Surendran; Anoop Rawat; Anirban Das; Shreya Pramanik; Najmul Arfin; Sudipta Maiti
Journal:  Biochemistry       Date:  2018-07-05       Impact factor: 3.162

8.  Selective destabilization of soluble amyloid beta oligomers by divalent metal ions.

Authors:  K Garai; P Sengupta; B Sahoo; S Maiti
Journal:  Biochem Biophys Res Commun       Date:  2006-04-25       Impact factor: 3.575

9.  Zinc lowers amyloid-beta toxicity by selectively precipitating aggregation intermediates.

Authors:  K Garai; B Sahoo; S K Kaushalya; R Desai; S Maiti
Journal:  Biochemistry       Date:  2007-08-25       Impact factor: 3.162

10.  Microsecond sub-domain motions and the folding and misfolding of the mouse prion protein.

Authors:  Rama Reddy Goluguri; Sreemantee Sen; Jayant Udgaonkar
Journal:  Elife       Date:  2019-04-26       Impact factor: 8.140

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