Single-cell multi-omic analysis of mesenchymal cells reveals molecular signatures and putative regulators of lung allograft fibrosis
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View abstract on PubMed
Summary
This summary is machine-generated.Chronic lung allograft dysfunction (CLAD) involves mesenchymal cells (MCs) with unknown drivers. This study identifies CEBPD as a key transcription factor in CLAD pathogenesis, offering potential therapeutic targets for lung transplant recipients.
Area Of Science
- Immunology
- Genomics
- Cell Biology
Background
- Lung transplant survival is limited by chronic lung allograft dysfunction (CLAD).
- Mesenchymal cells (MCs) drive CLAD, but the underlying transcriptomic and epigenomic factors are unclear.
- Understanding these drivers is crucial for developing targeted therapies.
Purpose Of The Study
- To investigate the transcriptomic and epigenomic drivers of fibrogenic transformation in mesenchymal cells during CLAD.
- To identify novel biomarkers and therapeutic targets for CLAD.
Main Methods
- Single-cell multi-omic technologies (scRNA-seq, ATAC-seq) were used on MCs from lung transplant recipients.
- Logistic regression models were employed for disease classification.
- Chromatin accessibility, motif scan, and footprint analyses were performed.
- CEBPD knockdown using siRNA and in situ validation in human lung tissue were conducted.
Main Results
- CLAD-associated MCs (CLAD-MCs) exhibit a distinct transcriptomic signature, enabling accurate disease classification.
- CEBPD was identified as a key transcription factor associated with CLAD-enriched MC subtypes.
- CEBPD-driven regulatory changes emerge over time post-transplantation.
- Knocking down CEBPD partially reversed the CLAD transcriptomic signature in CLAD-MCs.
- In situ validation confirmed CEBPD expression changes in human CLAD tissue.
Conclusions
- CEBPD plays a critical role in the dysregulated molecular state of CLAD-associated MCs.
- The study identifies CEBPD as a potential therapeutic target for CLAD.
- These findings offer insights into CLAD pathogenesis and nominate biomarkers for future interventions.
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