Lipidomic Profiling of Human Monocyte-Derived Macrophage Differentiation

Approximately 400 lipids across 16 classes were quantified during a 5-day differentiation of primary human blood monocytes into macrophages using M-CSF or GM-CSF. The dataset, authored by Alice Bacon and last updated in 2026, reveals lipidome remodeling, including shifts in acyl chain length and unsaturation in triglycerides and phosphatidylcholines. Spectral flow cytometry data on metabolic enzyme expression is also included.

Use Cases

• Modeling lipid metabolic dynamics during immune cell differentiation based on the quantified lipid species.
• Comparing lipid incorporation patterns, such as FA 22:6 in triglycerides, between M-CSF and GM-CSF derived macrophages.
• Correlating metabolic enzyme expression, like G6PD and SDHA, with specific lipidomic profiles.
• Investigating the relationship between membrane lipid remodeling and macrophage functional states described in the analysis.

Strengths

• Quantifies approximately 400 distinct lipids across 16 different classes.
• Includes data from a controlled 5-day differentiation experiment with two cytokine conditions (M-CSF and GM-CSF).
• Combines lipidomic profiling with spectral flow cytometry data on metabolic enzyme expression.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is small at 245.2 KB, indicating a limited scope.

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 23:46:52; freshness should be verified.