Inferring transient particle transport dynamics in live cells
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Cheeseman_Inferring transient.pdf
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Author(s)
Park, Hye Yoon
Katz, Zachary
English, Brian P.
Singer, Robert H.
Monnier, Nilah
Barry, Zachary Thomas
Su, Kuan-Chung
Dey, Arkajit
Pan, Keyao
Cheeseman, Iain M
Date Issued
July 2015
Journal
Nature Methods
Publisher
Nature Publishing Group
Citation
Monnier, Nilah et al. “Inferring Transient Particle Transport Dynamics in Live Cells.” Nature Methods 12.9 (2015): 838–840.
Version
Author's final manuscript
Abstract
Live-cell imaging and particle tracking provide rich information on mechanisms of intracellular transport. However, trajectory analysis procedures to infer complex transport dynamics involving stochastic switching between active transport and diffusive motion are lacking. We applied Bayesian model selection to hidden Markov modeling to infer transient transport states from trajectories of mRNA-protein complexes in live mouse hippocampal neurons and metaphase kinetochores in dividing human cells. The software is available at http://hmm-bayes.org/.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Biology
Whitehead Institute for Biomedical Research
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1038/nmeth.3483
