Inferring transient particle transport dynamics in live cells
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; Bathe, Mark; ... Show more Show less
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Show full item recordAbstract
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/.
Date issued
2015-07Department
Massachusetts Institute of Technology. Department of Biological Engineering; Massachusetts Institute of Technology. Department of Biology; Whitehead Institute for Biomedical ResearchJournal
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
ISSN
1548-7091
1548-7105