Published November 11, 2020 | Version v1
Dataset Open

Dataset - A lung-on-chip model reveals an essential role for alveolar epithelial cells in controlling bacterial growth during early M. tuberculosis infection

  • 1. EPFL
  • 2. University of Cincinnati
  • 3. Emulate Inc

Description

Description of the sub-folders
Name, type of data, corresponding Figure in the manuscript
3D view of the LoC model - .tiff image stack, Figure 1.

Bacterial Growth Rate Data  - .tiff image stacks, .csv files and MATLAB code to extract the fluorescence intensity over time, Figure 2, Figure 2 - figure supplement 2, Figure 2 - figure supplement 4, Figure 3, Figure 3 - figure supplement 2, Figure 4.

AT Characterization - .tiff image stacks and MATLAB code to extract the number and volume of lamellar bodies from the stack of confocal images, Figure 1, Figure 1 - figure supplement 1, Figue 1 - figure supplement 2.

AT Infection in LoC model - .tiff image stacks, Figure 2 - figure supplement 1.

AT Infection in vivo - .tiff image stacks, Figure 1 - figure supplement 3.

Simulations of in vivo infections - .dat files of growth rates in macrophages for the WT and ESX-1 deficient populations and MATLAB code to simulate an infection from this data, Figure 4.

 

Notes

Human Frontier Science Program (HFSP): Vivek V Thacker, Long-Term Fellowship,LT000231/2016-L; European Molecular Biology Organization (EMBO): Vivek V Thacker, Long-Term Fellowship,921-2015;

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Additional details

Funding

Real-Time Single-Cell Analysis of Bacterial Persistence 310030B_176397
Swiss National Science Foundation