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Thymus_CITE-seq

Single-cell multi-omic analysis of thymocyte development reveals drivers of CD4/CD8 lineage commitment

Zoë Steier, Dominik A. Aylard, Laura L. McIntyre, Isabel Baldwin, Esther Jeong Yoon Kim, Lydia K. Lutes, Can Ergen, Tse-Shun Huang, Ellen A. Robey, Nir Yosef, Aaron Streets

Nature Immunology, 2023. https://doi.org/10.1038/s41590-023-01584-0

This repository contains code for the analysis performed in this manuscript.

Analysis notebooks

  • totalVI_AllData/

    • Filtering_thymus111.ipynb Data preparation and filtering prior to running totalVI on the full CITE-seq data set
    • totalVI_thymus111.ipynb Run totalVI on the full data set
  • totalVI_PositiveSelection/

    • Filtering_thymus111_posselecting.ipynb Data preparation and filtering prior to running totalVI on the positive selection subset of the data
    • totalVI_thymus111_posselecting.ipynb Run totalVI on the positive selection subset of the data
  • Annotation/

    • Annotation.ipynb Annotation of the full data set and the positive selection subset (run alongside the totalVI notebooks)
  • Pseudotime/

    • Slingshot_thymus_posselecting_filtered.Rmd Run Slingshot to generate pseudotime (run alongside differential expression notebooks to plot DE results over pseudotime)
    • Pseudotime_plotting.Rmd Plotting of pseudotime results and in silico FACS analysis
  • Differential_Expression/

    • totalVI_thymus111_DE_bintime.ipynb Run differential expression tests with totalVI and generate gene clusters
    • DE_analysis.Rmd Analyze differential expression results and perform trancription factor enrichment analysis
  • Multidimensional_Flow/

    • Multidimensional_Flow.ipynb Multidimensional flow analysis
  • Vision/

    • Vision_AllData.Rmd Run Vision to generate session for interactive exploration of the full CITE-seq data set
    • Vision_PositiveSelection.Rmd Run Vision to generate session for interactive exploration of the positive selection subset of the data

Data