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Knit directory: paed-inflammation-CITEseq/
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This site presents the code and results of the analyses described in the pre-print: “Single-cell atlas of BAL from preschool cystic fibrosis reveals key inflammatory pathways modified by ivacaftor in the early life lung”.
All the code and results of this analysis are available from GitHub at https://github.com/Oshlack/paediatric-cf-inflammation-citeseq. To reproduce the complete analysis follow the instructions on the getting started page.
Aberrant inflammation and structural lung damage occurs early in life for people with cystic fibrosis (CF). Even in the era of CFTR modulators, anti-inflammatory therapy may still be needed to prevent establishment, and lifelong consequences, of bronchiectasis. In this study, we integrated transcriptome-wide single-cell RNA sequencing data, highly multiplexed surface protein expression, and functional pathway analysis to comprehensively investigate inflammatory cell responses in 37 BAL samples from children with CF and 8 BAL samples from non-CF controls. We show widespread dysregulation of macrophage function in the preschool CF lung, including alterations in pathways associated with SARS-COV-1 and -2 responses, TNF/IFN signalling and cholesterol homeostasis, that were further altered by the early development of bronchiectasis. We showed that the CFTR modulator ivacaftor restores some of these macrophage-related functional deficits and reduces expression of pathways associated with neutrophil infiltration, however the modulator lumacaftor/ivacaftor was not associated with any detectable change in response. This work represents the most comprehensive, multi-omic single-cell analysis of bronchoalveolar lavage from preschool children and the results inform the future development of anti-inflammatory therapy for children with CF.
Follow the links below to view the different parts of the analysis.
The code in this analysis is covered by the MIT license and the written content on this website is covered by a Creative Commons CC-BY license.
R version: R version 4.3.3 (2024-02-29)
Bioconductor version: 3.18
sessionInfo()
R version 4.3.3 (2024-02-29)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.4 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so; LAPACK version 3.10.0
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[3] LC_TIME=en_AU.UTF-8 LC_COLLATE=en_AU.UTF-8
[5] LC_MONETARY=en_AU.UTF-8 LC_MESSAGES=en_AU.UTF-8
[7] LC_PAPER=en_AU.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_AU.UTF-8 LC_IDENTIFICATION=C
time zone: Etc/UTC
tzcode source: system (glibc)
attached base packages:
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other attached packages:
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