HIV-Associated Lung Cell scRNA-Seq Data from 54,230 Cells

Single-cell RNA sequencing data from human lung tissues of HIV-infected and uninfected individuals, including smokers and non-smokers. The dataset contains 54,230 cells analyzed to identify transcriptionally distinct populations and HIV-associated changes. The data was authored by Khursheed Ul Islam and last updated in April 2026.

Use Cases

• Analyze HIV-associated changes in lung cellular composition based on the expansion of T-cells, B cells, and monocytes described.
• Study transcriptional reprogramming in alveolar Type I and Type II cells based on the described HIV-associated alterations.
• Investigate fibroblast and smooth muscle cell proinflammatory responses and extracellular matrix programs mentioned in the results.
• Examine epithelial-mesenchymal transition (EMT) marker shifts in specific cell types like AT1, AT2, and myofibroblasts.

Strengths

• Includes data from 54,230 cells, providing a substantial single-cell resolution view.
• Compares multiple experimental groups: HIV infected/uninfected and smokers/non-smokers.
• Analysis performed using established methods like UMAP clustering and integration.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data file is a DOCX document, which may require extraction or conversion for computational analysis.

Provenance

Source

figshare

Collection Method

Single-cell RNA sequencing (scRNA-seq) performed on human lung tissues.

Time Range

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Freshness

Last updated 2026-04-16 05:16:34; freshness should be verified.

Geography

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