Data from: Capturing the start point of the virus-cell interaction with high-speed 3D single-particle tracking

Public

  • The early stages of the virus-cell interaction have long evaded observation by existing microscopy methods due to the rapid diffusion of virions in the extracellular space and the large 3D cellular structures involved. Here we present an active-feedback single-particle tracking method with simultaneous volumetric imaging of the live cell environment to address this knowledge gap to present unprecedented detail to the extracellular phase of the infectious cycle. We report previously unobserved phenomena in the early stages of the virus-cell interaction, including skimming contact events at the millisecond timescale, orders of magnitude change in diffusion coefficient upon binding, and cylindrical and linear diffusion modes along cellular protrusions. Finally, we demonstrate how this new method can move single-particle tracking from simple monolayer culture towards more tissue-like conditions by tracking single virions in tightly packed epithelial cells. This multi-resolution method presents new opportunities for capturing fast, 3D processes in biological systems. ... [Read More]

Total Size
55 files (50.8 GB)
Data Citation
  • Johnson, C., Exell, J., Lin, Y., Aguilar, J., Welsher, K. D. (2022). Data from: Capturing the start point of the virus-cell interaction with high-speed 3D single-particle tracking. Duke Research Data Repository. https://doi.org/10.7924/r4bp07h15.
DOI
  • 10.7924/r4bp07h15
Publication Date
ARK
  • ark:/87924/r4bp07h15
Affiliation
Type
Funding Agency
  • NIH
Grant Number
  • R35GM124868
Contact
Title
  • Data from: Capturing the start point of the virus-cell interaction with high-speed 3D single-particle tracking
This Dataset
Usage Stats