Monnier Nilah, Barry Zachary, Park Hye Yoon, Su Kuan-Chung, Katz Zachary, English Brian P, Dey Arkajit, Pan Keyao, Cheeseman Iain M, Singer Robert H, Bathe Mark
Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Department of Anatomy and Structural Biology, Albert Einstein College of Medicine, Bronx, New York, USA.
Nat Methods. 2015 Sep;12(9):838-40. doi: 10.1038/nmeth.3483. Epub 2015 Jul 20.
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/.
活细胞成像和粒子追踪提供了关于细胞内运输机制的丰富信息。然而，目前缺乏用于推断涉及主动运输和扩散运动之间随机切换的复杂运输动力学的轨迹分析程序。我们将贝叶斯模型选择应用于隐马尔可夫模型，以从活小鼠海马神经元中mRNA-蛋白质复合物以及分裂的人类细胞中期动粒的轨迹推断瞬态运输状态。该软件可在http://hmm-bayes.org/获取。
