Macrophage Proteomics and Metabolomics Under Phosphatidylethanolamine Treatment

2026 research data from Tatiana Maurício on figshare integrates LC-MS/MS proteomics and metabolomics analyses of RAW264.7 macrophages. The dataset examines cellular responses to phosphatidylethanolamine lipid species under resting and LPS-stimulated conditions. It includes protein expression and metabolite pathway data validated by qPCR.

Use Cases

• Model the relationship between specific PE lipid species (PE18:0/22:6, PE18:0/20:4) and inflammatory gene expression (Ptgs2, Nos2, Nfkb1, Nfkb2).
• Analyze protein expression patterns for antioxidant defenses (catalase, Hmox1, Prdx1) and lipid metabolism markers (CD36, Abcc1) under different stimulation conditions.
• Correlate metabolomics data on glutathione, purine, and amino-acid pathways with proteomic signatures of restrained inflammation.
• Validate multi-omics findings by comparing protein/metabolite levels with qPCR mRNA data for genes like Il1b, Ptgs2, Prdx1, Hmox1, and Cd36.

Strengths

• Integrates two complementary omics layers: proteomics and metabolomics from the same experimental system.
• Includes qPCR validation data for key gene targets, strengthening biological conclusions.
• Data is recent, published on figshare in April 2026.

Limitations

• Very small dataset at 49.8 KB, indicating limited sample size or feature breadth.
• Data is derived from a single cell line (RAW264.7 macrophages), limiting generalizability to other cell types or in vivo contexts.
• Specific row and column counts are unknown, making the dataset's scale difficult to assess.

Provenance

Source

figshare, authored by Tatiana Maurício.

Collection Method

LC-MS/MS-based proteomics and metabolomics on cultured RAW264.7 macrophage cells, supplemented with qPCR validation.

Time Range

Experimental data, specific collection period unknown.

Freshness

Last updated April 2026.

Geography

null