Stop-and-go kinetics in amyloid fibrillation

Publication: Research - peer-reviewJournal article – Annual report year: 2010

Standard

Stop-and-go kinetics in amyloid fibrillation. / Ferkinghoff-Borg, Jesper; Fonslet, Jesper; Andersen, Christian Beyschau; Krishna, Sandeep; Pigolotti, Simone; Yagi, Hisashi; Goto, Yuji; Otzen, Daniel; Jensen, Mogens H.

In: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 82, No. 1, 2010, p. 010901.

Publication: Research - peer-reviewJournal article – Annual report year: 2010

Harvard

Ferkinghoff-Borg, J, Fonslet, J, Andersen, CB, Krishna, S, Pigolotti, S, Yagi, H, Goto, Y, Otzen, D & Jensen, MH 2010, 'Stop-and-go kinetics in amyloid fibrillation' Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), vol 82, no. 1, pp. 010901., 10.1103/PhysRevE.82.010901

APA

Ferkinghoff-Borg, J., Fonslet, J., Andersen, C. B., Krishna, S., Pigolotti, S., Yagi, H., ... Jensen, M. H. (2010). Stop-and-go kinetics in amyloid fibrillation. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 82(1), 010901. 10.1103/PhysRevE.82.010901

CBE

Ferkinghoff-Borg J, Fonslet J, Andersen CB, Krishna S, Pigolotti S, Yagi H, Goto Y, Otzen D, Jensen MH. 2010. Stop-and-go kinetics in amyloid fibrillation. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 82(1):010901. Available from: 10.1103/PhysRevE.82.010901

MLA

Vancouver

Author

Ferkinghoff-Borg, Jesper; Fonslet, Jesper; Andersen, Christian Beyschau; Krishna, Sandeep; Pigolotti, Simone; Yagi, Hisashi; Goto, Yuji; Otzen, Daniel; Jensen, Mogens H. / Stop-and-go kinetics in amyloid fibrillation.

In: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Vol. 82, No. 1, 2010, p. 010901.

Publication: Research - peer-reviewJournal article – Annual report year: 2010

Bibtex

@article{aec9852f9ca74bc9ba264b0b5121ed36,
title = "Stop-and-go kinetics in amyloid fibrillation",
publisher = "American Physical Society",
author = "Jesper Ferkinghoff-Borg and Jesper Fonslet and Andersen, {Christian Beyschau} and Sandeep Krishna and Simone Pigolotti and Hisashi Yagi and Yuji Goto and Daniel Otzen and Jensen, {Mogens H.}",
note = "Copyright 2010 American Physical Society",
year = "2010",
doi = "10.1103/PhysRevE.82.010901",
volume = "82",
number = "1",
pages = "010901",
journal = "Physical Review E (Statistical, Nonlinear, and Soft Matter Physics)",
issn = "1539-3755",

}

RIS

TY - JOUR

T1 - Stop-and-go kinetics in amyloid fibrillation

A1 - Ferkinghoff-Borg,Jesper

A1 - Fonslet,Jesper

A1 - Andersen,Christian Beyschau

A1 - Krishna,Sandeep

A1 - Pigolotti,Simone

A1 - Yagi,Hisashi

A1 - Goto,Yuji

A1 - Otzen,Daniel

A1 - Jensen,Mogens H.

AU - Ferkinghoff-Borg,Jesper

AU - Fonslet,Jesper

AU - Andersen,Christian Beyschau

AU - Krishna,Sandeep

AU - Pigolotti,Simone

AU - Yagi,Hisashi

AU - Goto,Yuji

AU - Otzen,Daniel

AU - Jensen,Mogens H.

PB - American Physical Society

PY - 2010

Y1 - 2010

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.

UR - http://link.aps.org/doi/10.1103/PhysRevE.82.010901

U2 - 10.1103/PhysRevE.82.010901

DO - 10.1103/PhysRevE.82.010901

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

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

SN - 1539-3755

IS - 1

VL - 82

SP - 010901

ER -