Stop-and-go kinetics in amyloid fibrillation
Publication: Research - peer-review › Journal article – Annual report year: 2010
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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-review › Journal article – Annual report year: 2010
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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 -