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

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/4266198
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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.
创建时间:
2024-07-19
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