Retrograde NGF axonal transport - Motor coordination in the unidirectional motility regime

Praveen D. Chowdary, Daphne L. Che, Kai Zhang, Bianxiao Cui

Research output: Contribution to journalArticlepeer-review

Abstract

We present a detailed motion analysis of retrograde nerve growth factor (NGF) endosomes in axons to show that mechanical tugs-of-war and intracellular motor regulation are complimentary features of the near-unidirectional endosome directionality. We used quantum dots to fluorescently label NGF and acquired trajectories of retrograde quantum-dot-NGF-endosomes with <20-nm accuracy at 32 Hz in microfluidic neuron cultures. Using a combination of transient motion analysis and Bayesian parsing, we partitioned the trajectories into sustained periods of retrograde (dynein-driven) motion, constrained pauses, and brief anterograde (kinesin-driven) reversals. The data shows many aspects of mechanical tugs-of-war and multiple-motor mechanics in NGF-endosome transport. However, we found that stochastic mechanical models based on in vitro parameters cannot simulate the experimental data, unless the microtubule-binding affinity of kinesins on the endosome is tuned down by 10 times. Specifically, the simulations suggest that the NGF-endosomes are driven on average by 5-6 active dyneins and 1-2 downregulated kinesins. This is also supported by the dynamics of endosomes detaching under load in axons, showcasing the cooperativity of multiple dyneins and the subdued activity of kinesins. We discuss the possible motor coordination mechanism consistent with motor regulation and tugs-of-war for future investigations.

Original languageEnglish (US)
Article number6557
Pages (from-to)2691-2703
Number of pages13
JournalBiophysical journal
Volume108
Issue number11
DOIs
StatePublished - Jun 3 2015
Externally publishedYes

ASJC Scopus subject areas

  • Biophysics

Fingerprint

Dive into the research topics of 'Retrograde NGF axonal transport - Motor coordination in the unidirectional motility regime'. Together they form a unique fingerprint.

Cite this