Lipidomic Profiling of Human Monocyte-Derived Macrophage Differentiation

Approximately 400 lipids across 16 classes were quantified using the DMS-SLA platform. The dataset captures lipidomic dynamics during a 5-day differentiation of primary human blood monocytes into macrophages using M-CSF or GM-CSF, created by Alice Bacon and last updated in May 2026. Spectral flow cytometry data on metabolic enzyme expression is also included.

Use Cases

• Modeling lipid metabolic remodeling during immune cell differentiation based on quantified lipid species.
• Comparing metabolic pathway activation (e.g., pentose phosphate, oxidative phosphorylation) based on enzyme expression data.
• Analyzing differences in fatty acid incorporation (e.g., FA 22:6) between M-CSF and GM-CSF derived macrophages.
• Investigating relationships between acyl chain length, unsaturation, and macrophage functional states.

Strengths

• Quantifies approximately 400 lipids across 16 distinct classes, providing a detailed molecular profile.
• Includes paired lipidomic and spectral flow cytometry data for metabolic enzyme expression.
• Compares two distinct differentiation stimuli (M-CSF and GM-CSF) over a defined 5-day time course.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for certain analyses.
• The dataset is small at 87.1 KB, indicating a limited scope likely focused on a specific experimental cohort.

Provenance

Source

figshare

Collection Method

Lipidomic profiling via differential mobility spectrometry–shotgun lipidomics assistant (DMS-SLA) and spectral flow cytometry on primary human blood monocytes.

Freshness

Last updated 2026-05-28 23:46:55; freshness should be verified.