Published June 17, 2022 | Version v1
Dataset Open

Multimodal single cell analysis of the paediatric lower airway reveals novel immune cell phenotypes in early life health and disease

Authors/Creators

  • 1. Computational Biology Program, Peter MacCallum Cancer Centre, Parkville, VIC, Australia; Respiratory Diseases, Murdoch Children's Research Institute, Parkville, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
  • 2. Respiratory Diseases, Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia; Respiratory and Sleep Medicine, Royal Children's Hospital, Parkville, VIC, Australia
  • 3. Computational Biology Program, Peter MacCallum Cancer Centre, Parkville, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia
  • 4. Cellular Genomics Projects Team, Advanced Technology and Biology Division, WEHI, Parkville, VIC, Australia; Department of Medical Biology, University of Melbourne, Parkville, VIC, Australia
  • 5. Cellular Genomics Projects Team, Advanced Technology and Biology Division, WEHI, Parkville, VIC, Australia
  • 6. Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Sydney, NSW, Australia; UNSW Cellular Genomics Futures Institute, University of New South Wales, Sydney, NSW, Australia
  • 7. Computational Biology Program, Peter MacCallum Cancer Centre, Parkville, VIC, Australia; Sir Peter MacCallum Department of Oncology, University of Melbourne, Parkville, VIC, Australia; School of Bioscience, University of Melbourne, Parkville, VIC, Australia
  • 8. Respiratory Diseases, Murdoch Children's Research Institute, Parkville, VIC, Australia; Department of Paediatrics, University of Melbourne, Parkville, VIC, Australia; Molecular Immunity, Murdoch Children's Research Institute, Parkville, VIC, Australia

Description

RDS files of SingleCellExperiment objects containing raw single cell RNA-seq count data required to replicate the analyses presented at: https://oshlacklab.com/paed-cf-cite-seq/ and described in the pre-print titled: "Multimodal single cell analysis of the paediatric lower airway reveals novel immune cell phenotypes in early life health and disease".
Instructions for how to incorporate the raw data into the analysis can be found at: https://oshlacklab.com/paed-cf-cite-seq/gettingStarted.html and the complete analysis code and additional data files can be cloned/downloaded from: https://github.com/Oshlack/paed-cf-cite-seq.

Files

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