PBMC Transcriptome Response to PM10 Air Pollution

RNA sequencing data from peripheral blood mononuclear cells (PBMCs) exposed to particulate matter (PM10) reveals differential expression of 1226 genes. The dataset supports analysis of gene expression patterns linked to cancer hallmarks, including angiogenesis, apoptosis, cell cycle, inflammation, and metabolism. It highlights specific genes like AKR1C1 and their association with transcription factors in the context of air pollution-induced carcinogenic activity.

Use Cases

• Identifying differential gene expression signatures in immune cells after PM10 exposure.
• Investigating the role of specific genes like AKR1C1 in the cellular response to air pollutants.
• Analyzing the deregulation of cancer-related biological processes such as angiogenesis and apoptosis.
• Exploring associations between PM10-induced transcriptome changes and transcription factor activity.

Strengths

• Contains data on 1226 differentially expressed genes, providing a substantial basis for analysis.
• Focuses on a specific and relevant environmental health model (PBMCs exposed to PM10).
• Released under a permissive CC-BY-4.0 license, facilitating reuse and sharing.

Limitations

• Column names and detailed data structure are not provided, limiting immediate usability.
• The dataset size (210891) is given without context (e.g., rows, columns), making scale ambiguous.
• Metadata is sparse, lacking information on experimental replicates, control samples, or processing pipelines.

Provenance

Source

Juan J. Ospina-Velásquez

Collection Method

RNA sequencing of PBMCs exposed to PM10.

Freshness

Last updated on 2026-03-18.