Stop-and-go kinetics in amyloid fibrillation

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Standard

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

I: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), Bind 82, Nr. 1, 01.07.2010, s. 010901(R).

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Ferkinghoff-Borg, J, Fonslet, J, Andersen, CB, Krishna, S, Pigolotti, S, Hisashi, Y, Yuji, G, Otzen, D & Jensen, MH 2010, 'Stop-and-go kinetics in amyloid fibrillation', Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), bind 82, nr. 1, s. 010901(R). https://doi.org/10.1103/PhysRevE.82.010901

APA

Ferkinghoff-Borg, J., Fonslet, J., Andersen, C. B., Krishna, S., Pigolotti, S., Hisashi, Y., Yuji, G., Otzen, D., & Jensen, M. H. (2010). Stop-and-go kinetics in amyloid fibrillation. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), 82(1), 010901(R). https://doi.org/10.1103/PhysRevE.82.010901

Vancouver

Ferkinghoff-Borg J, Fonslet J, Andersen CB, Krishna S, Pigolotti S, Hisashi Y o.a. Stop-and-go kinetics in amyloid fibrillation. Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2010 jul. 1;82(1):010901(R). https://doi.org/10.1103/PhysRevE.82.010901

Author

Ferkinghoff-Borg, Jesper ; Fonslet, Jesper ; Andersen, Christian Beyschau ; Krishna, Sandeep ; Pigolotti, Simone ; Hisashi, Yagi ; Yuji, Goto ; Otzen, Daniel ; Jensen, Mogens Høgh. / Stop-and-go kinetics in amyloid fibrillation. I: Physical Review E (Statistical, Nonlinear, and Soft Matter Physics). 2010 ; Bind 82, Nr. 1. s. 010901(R).

Bibtex

@article{4c4e4c61fdd94cceacd448d5784b0212,
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. ",
author = "Jesper Ferkinghoff-Borg and Jesper Fonslet and Andersen, {Christian Beyschau} and Sandeep Krishna and Simone Pigolotti and Yagi Hisashi and Goto Yuji and Daniel Otzen and Jensen, {Mogens H{\o}gh}",
year = "2010",
month = jul,
day = "1",
doi = "10.1103/PhysRevE.82.010901",
language = "English",
volume = "82",
pages = "010901(R)",
journal = "Physical Review E",
issn = "2470-0045",
publisher = "American Physical Society",
number = "1",

}

RIS

TY - JOUR

T1 - Stop-and-go kinetics in amyloid fibrillation

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.

U2 - 10.1103/PhysRevE.82.010901

DO - 10.1103/PhysRevE.82.010901

M3 - Journal article

C2 - 20866557

VL - 82

SP - 010901(R)

JO - Physical Review E

JF - Physical Review E

SN - 2470-0045

IS - 1

ER -

ID: 33093658