Supplementary file 2_scRNA sequencing revealed HIV-associated inflammation-mediated lung e

Human lung tissue samples from HIV-infected and uninfected individuals, including smokers and non-smokers, were analyzed. Single-cell RNA sequencing was performed on 54,230 cells to assess epithelial remodeling and HIV-driven alterations in lung cellular composition and transcriptional programs. The dataset was published by author Khursheed Ul Islam on figshare in April 2026.

Use Cases

• Identify HIV-associated transcriptional changes in alveolar Type I and Type II cells based on gene expression data.
• Analyze shifts in immune cell populations, such as CD4+ T-cells and non-classical monocytes, in lung tissue.
• Investigate epithelial-mesenchymal transition (EMT) markers like CDH1 and vimentin across different cell types.
• Study proinflammatory and stress-responsive programs in fibroblasts and smooth muscle cells affecting extracellular matrix.

Strengths

• Data is derived from 54,230 single cells, providing a detailed cellular-level view
• Includes samples from multiple experimental groups: HIV-infected/uninfected and smokers/non-smokers
• Analysis includes integration and UMAP clustering for population identification

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

figshare, author Khursheed Ul Islam

Collection Method

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

Freshness

Last updated 2026-04-16 05:16:33; freshness should be verified