Lung Organoid Data for CPAM Research with Cigarette Smoke Exposure Assays

9.9 GB of processed single-cell RNA sequencing matrices and molecular assay data from a University of Hong Kong doctoral project. The research uses patient-derived and iPSC-derived lung organoids to explore Congenital Pulmonary Airway Malformations. Data includes results from cigarette smoke extract exposure assays showing increased mucus viscosity and cytokine secretion in diseased organoids.

Use Cases

• Analyze epithelial-mesenchymal signaling alterations based on single-cell RNA sequencing data from normal and CPAM organoids.
• Validate dysregulation in FGF, NOTCH, PPAR, and HIF signaling pathways based on quantitative PCR, ELISA, and protein assay data.
• Model environmental modulation of airway disease based on functional assay results from cigarette smoke extract exposure.
• Compare genetic and molecular profiles based on metadata from patient-derived and iPSC-derived organoid models.

Strengths

• Integrated molecular and functional atlas combining single-cell RNA-seq with multiple validation assays (qPCR, ELISA, protein assays).
• Large 9.9 GB dataset containing processed expression matrices and metadata.
• Includes experimental results from a functional cigarette smoke extract exposure assay.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific analytical tasks.

Provenance

Source

Doctoral research project at the University of Hong Kong, authored by Ze Li.

Collection Method

Generated from patient-derived and induced pluripotent stem cell (iPSC)-derived human lung organoids, integrating single-cell RNA sequencing, molecular assays, and functional experiments.

Time Range

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Freshness

Last updated 2026-04 23 07:40:21; freshness should be verified.

Geography

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