Inferring transient particle transport dynamics in live cells

Nilah Monnier, Zachary Barry, Hye Yoon Park, Kuan Chung Su, Zachary Katz, Brian P. English, Arkajit Dey, Keyao Pan, Iain M. Cheeseman, Robert H. Singer, Mark Bathe

Research output: Contribution to journalArticlepeer-review

113 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)838-840
Number of pages3
JournalNature Methods
Issue number9
StatePublished - Aug 28 2015
Externally publishedYes

Bibliographical note

Funding Information:
Research reported in this publication was supported by grants from the US National Institutes of Health (NIH) National Institute of Mental Health (U01 MH106011) and the US National Science Foundation Physics of Living Systems (PHY 1305537) to M.B., an NIH grant from the National Institute of Neurological Diseases and Stroke (NS083085-19) to R.H.S., a Scholar award from the Leukemia & Lymphoma Society and an NIH grant from the National Institute of General Medical Sciences (GM088313) to I.M.C., and a Schroedinger fellowship from the Austrian Science Fund to K.-C.S. We also thank M. Linden for helpful discussions.

Publisher Copyright:
© 2015 Nature America, Inc.


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