Macrophage Multi-Omics Response to Borrelia Burgdorferi Lipoproteins

Integrated multi-omics data characterizes host signaling pathways activated by purified Borrelia burgdorferi lipoproteins in murine bone marrow-derived macrophages. The dataset includes single-cell RNA-Seq results showing macrophage subsets and differential gene expression, alongside unbiased proteomics analysis of macrophage lysates. Authored by Venkatesh Kumaresan and published on figshare in April 2026.

Use Cases

• Identify macrophage subsets via scRNA-Seq clustering analysis of cells treated with various lipoprotein concentrations.
• Analyze differential expression of genes encoding receptors, type I IFN-stimulated genes, chemokines, mitochondrial genes, and ribosomal genes.
• Validate transcriptional findings by cross-referencing upregulated or downregulated proteins from the unbiased proteomics analysis of macrophage lysates.
• Investigate the role of Dusp1 gene upregulation in regulating NLRP3-mediated pro-inflammatory signaling and interferon-stimulated gene expression.
• Model metabolic reprogramming by correlating extracellular flux analysis data (OCR and ECAR) with pro-inflammatory gene expression over time.

Strengths

• Integrated multi-omics approach combining scRNA-Seq and unbiased proteomics.
• Data supports mechanistic findings on a key regulatory node (DUSP1).
• Analysis includes time-dependent metabolic measurements (OCR, ECAR).

Limitations

• Dataset is a 4.5 MB PDF, not a structured data table, limiting computational analysis.
• Data is derived from murine bone marrow-derived macrophages, with unknown direct applicability to human systems.
• Sample size (number of cells or replicates) for scRNA-Seq and proteomics is not specified.

Provenance

Source

Venkatesh Kumaresan

Collection Method

Integrated multi-omics analysis including single-cell RNA-Seq, proteomics, and extracellular flux assays on murine bone marrow-derived macrophages stimulated with purified borrelial lipoproteins.

Time Range

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Freshness

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Geography

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