Stop-and-go kinetics in amyloid fibrillation

Jesper Ferkinghoff-Borg; Jesper Fonslet; Christian Beyschau Andersen; Sandeep Krishna; Simone Pigolotti; Yagi Hisashi; Goto Yuji; Daniel Otzen; Mogens Høgh Jensen

doi:10.1103/PhysRevE.82.010901

Stop-and-go kinetics in amyloid fibrillation

Jesper Ferkinghoff-Borg, Jesper Fonslet, Christian Beyschau Andersen, Sandeep Krishna, Simone Pigolotti, Yagi Hisashi, Goto Yuji, Daniel Otzen, Mogens Høgh Jensen

36 Citations (Scopus)

Abstract

Many human diseases are associated with protein aggregation and fibrillation. We present experiments on in vitro glucagon fibrillation using total internal reflection fluorescence microscopy, providing real-time measurements of single-fibril growth. We find that amyloid fibrils grow in an intermittent fashion, with periods of growth followed by long pauses. The observed exponential distributions of stop and growth times support a Markovian model, in which fibrils shift between the two states with specific rates. Even if the individual rates vary considerably, we observe that the probability of being in the growing (stopping) state is very close to 1/4 (3/4) in all experiments.

Original language	English
Journal	Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)
Volume	82
Issue number	1
Pages (from-to)	010901(R)
Number of pages	4
ISSN	1539-3755
DOIs	https://doi.org/10.1103/PhysRevE.82.010901
Publication status	Published - 1 Jul 2010

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10.1103/PhysRevE.82.010901

Cite this

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title = "Stop-and-go kinetics in amyloid fibrillation",

abstract = "Many human diseases are associated with protein aggregation and fibrillation. We present experiments on in vitro glucagon fibrillation using total internal reflection fluorescence microscopy, providing real-time measurements of single-fibril growth. We find that amyloid fibrils grow in an intermittent fashion, with periods of growth followed by long pauses. The observed exponential distributions of stop and growth times support a Markovian model, in which fibrils shift between the two states with specific rates. Even if the individual rates vary considerably, we observe that the probability of being in the growing (stopping) state is very close to 1/4 (3/4) in all experiments. ",

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AU - Ferkinghoff-Borg, Jesper

AU - Fonslet, Jesper

AU - Andersen, Christian Beyschau

AU - Krishna, Sandeep

AU - Pigolotti, Simone

AU - Hisashi, Yagi

AU - Yuji, Goto

AU - Otzen, Daniel

AU - Jensen, Mogens Høgh

PY - 2010/7/1

Y1 - 2010/7/1

N2 - Many human diseases are associated with protein aggregation and fibrillation. We present experiments on in vitro glucagon fibrillation using total internal reflection fluorescence microscopy, providing real-time measurements of single-fibril growth. We find that amyloid fibrils grow in an intermittent fashion, with periods of growth followed by long pauses. The observed exponential distributions of stop and growth times support a Markovian model, in which fibrils shift between the two states with specific rates. Even if the individual rates vary considerably, we observe that the probability of being in the growing (stopping) state is very close to 1/4 (3/4) in all experiments.

AB - Many human diseases are associated with protein aggregation and fibrillation. We present experiments on in vitro glucagon fibrillation using total internal reflection fluorescence microscopy, providing real-time measurements of single-fibril growth. We find that amyloid fibrils grow in an intermittent fashion, with periods of growth followed by long pauses. The observed exponential distributions of stop and growth times support a Markovian model, in which fibrils shift between the two states with specific rates. Even if the individual rates vary considerably, we observe that the probability of being in the growing (stopping) state is very close to 1/4 (3/4) in all experiments.

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DO - 10.1103/PhysRevE.82.010901

M3 - Journal article

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JO - Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)

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