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Status |
Public on Jun 05, 2024 |
Title |
Single-cell analysis of bronchoalveolar cells in inflammatory and fibrotic post-COVID lung disease |
Organism |
Homo sapiens |
Experiment type |
Expression profiling by high throughput sequencing Other
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Summary |
Rationale: Persistent pulmonary sequelae are evident in many survivors of acute coronavirus disease 2019 (COVID-19) but the molecular mechanisms responsible are incompletely understood. Post-COVID radiological lung abnormalities comprise two broad categories, organising pneumonia and reticulation, interpreted as indicative of subacute inflammation and fibrosis, respectively. Whether these two patterns represent distinct pathologies, likely to require different treatment strategies is not known. Objectives: We sought to identify differences at molecular and cellular level, in the local immunopathology of post-COVID inflammation and fibrosis. Methods: We compared single-cell transcriptomic profiles and T cell receptor (TCR) repertoires of bronchoalveolar cells obtained from convalescent individuals with each radiological pattern of post-COVID lung disease (PCLD). Measurements and Main Results: Inflammatory and fibrotic PCLD single-cell transcriptomes closely resembled each other across all cell types. However, CD4 central memory T cells (TCM) and CD8 effector memory T cells (TEM) were significantly more abundant in inflammatory PCLD. A greater proportion of CD4 TCM also exhibited clonal expansion in inflammatory PCLD. High levels of clustering of similar TCRs from multiple donors was a striking feature of both PCLD phenotypes, consistent with tissue localised antigen-specific immune responses, but there was no enrichment for known SARS-CoV-2 reactive TCRs. Conclusions: There is no evidence that radiographic organising pneumonia and reticulation in post-COVID lung disease are associated with differential immmunopathological pathways. Inflammatory radiology is characterised by greater bronchoalveolar T cell accumulation. Both groups show evidence of shared antigen-specific T cell responses, but the antigenic target for these T cells remains to be identified.
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Overall design |
Comparison of bronchoalveolar cells from individuals with either inflammatory or fibrotic post-COVID lung disease.
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Contributor(s) |
Mehta P, Sanz-Magallon Duque de Estrada B, Denneny EK, Foster K, Worlock KB, Yoshida M, Tomlinson GS |
Citation(s) |
38827740 |
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Submission date |
Mar 27, 2023 |
Last update date |
Jun 06, 2024 |
Contact name |
Gillian S Tomlinson |
E-mail(s) |
g.tomlinson@ucl.ac.uk
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Organization name |
University College London
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Department |
Infection and Immunity
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Street address |
Gower Street
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City |
London |
ZIP/Postal code |
WC1E 6BT |
Country |
United Kingdom |
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Platforms (2) |
GPL24676 |
Illumina NovaSeq 6000 (Homo sapiens) |
GPL30173 |
NextSeq 2000 (Homo sapiens) |
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Samples (18)
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GSM7117555 |
PCLD5, scRNAseq |
GSM7117556 |
PCLD6, scRNAseq |
GSM7117557 |
PCLD7, scRNAseq |
GSM7117558 |
PCLD8, scRNAseq |
GSM7117559 |
PCLD9, scRNAseq |
GSM7117560 |
PCLD12, scRNAseq |
GSM7117561 |
PCLD13, scRNAseq |
GSM7117562 |
PCLD4, scTCRseq |
GSM7117563 |
PCLD5, scTCRseq |
GSM7117564 |
PCLD6, scTCRseq |
GSM7117565 |
PCLD7, scTCRseq |
GSM7117566 |
PCLD8, scTCRseq |
GSM7117567 |
PCLD9, scTCRseq |
GSM7117568 |
PCLD12, scTCRseq |
GSM7117569 |
PCLD13, scTCRseq |
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Relations |
BioProject |
PRJNA949104 |
Supplementary file |
Size |
Download |
File type/resource |
GSE228236_RAW.tar |
185.6 Mb |
(http)(custom) |
TAR (of CSV, H5) |
SRA Run Selector |
Raw data are available in SRA |
Processed data provided as supplementary file |
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