Lipidomic Profiles of Human Monocyte-Derived Macrophage Differentiation

Alice Bacon provides a lipidomic dataset profiling metabolic remodeling during human monocyte-to-macrophage differentiation. Primary blood monocytes were differentiated for 5 days with M-CSF or GM-CSF, and lipidomic profiling quantified approximately 400 lipids across 16 classes. The dataset was last updated on 2026-05-28.

Use Cases

• Analyze lipid class remodeling during macrophage differentiation based on the quantification of ~400 lipids across 16 classes.
• Compare metabolic enzyme expression dynamics based on spectral flow cytometry data for markers like G6PD and SDHA.
• Investigate fatty acid incorporation differences between M-CSF and GM-CSF derived macrophages based on FA 22:6 levels in triglycerides.
• Study the relationship between acyl chain length, unsaturation, and cell state based on triglyceride and phosphatidylcholine species data.

Strengths

• Quantifies approximately 400 individual lipids across 16 distinct classes.
• Includes temporal data from a 5-day differentiation protocol with two different cytokines (M-CSF and GM-CSF).
• Integrates 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 in scale at 238.1 KB, indicating limited scope.

Provenance

Source

Alice Bacon via figshare.

Collection Method

Lipidomic profiling using the differential mobility spectrometry–shotgun lipidomics assistant (DMS-SLA) platform on primary human blood monocytes.

Time Range

Covers a 5-day differentiation period.

Freshness

Last updated 2026-05-28 23:46:51; freshness should be verified.