Human Monocyte-Derived Macrophage Lipidomic Profiles During 5-Day Differentiation

A lipidomic dataset from a study of human monocyte-to-macrophage differentiation. It contains approximately 400 quantified lipids across 16 classes, generated using the DMS-SLA platform from primary blood monocytes treated with M-CSF or GM-CSF for 5 days. The dataset was authored by Alice Bacon and published on figshare in May 2026.

Use Cases

• Modeling lipid metabolic remodeling during immune cell differentiation based on quantified lipid species.
• Comparing lipid profiles of macrophages derived with different cytokines (M-CSF vs. GM-CSF) based on the experimental design.
• Investigating correlations between metabolic enzyme expression and specific lipid class changes mentioned in the description.
• Analyzing shifts in acyl chain length and unsaturation in triglycerides and phosphatidylcholines during differentiation.

Strengths

• Quantifies approximately 400 lipids across 16 distinct classes, providing a detailed lipidomic snapshot.
• Includes data from a controlled 5-day differentiation experiment with two cytokine conditions (M-CSF and GM-CSF).
• Pairs lipidomic data with spectral flow cytometry measurements of metabolic enzyme expression.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (14.4 KB), indicating a limited scope, likely summary-level results rather than raw measurements.

Provenance

Source

figshare

Collection Method

Lipidomic profiling using the DMS-SLA platform and spectral flow cytometry on primary human blood monocytes.

Freshness

Last updated 2026-05-28 23:46:56; freshness should be verified.