Murine Sepsis Model Chromatin Accessibility Data for MDSCs

A high-resolution epigenetic map profiles DNA methylation and chromatin accessibility in myeloid-derived suppressor cells from a murine sepsis model. The data includes nine promoter classes identified through unsupervised clustering, reflecting age- and sex-dependent chromatin dynamics. It was generated using the MAPit-FENGC single-molecule assay and single-cell RNA sequencing on splenic MDSCs from young and older adult male and female mice.

Use Cases

• Identify age- and sex-dependent sepsis-induced promoter opening (Classes 1-4) to study immune dysfunction mechanisms.
• Analyze persistent promoter closure with varying DNA methylation levels (Classes 5-7) for epigenetic regulation research.
• Correlate chromatin accessibility states from MAPit-FENGC data with gene expression from single-cell RNA sequencing.
• Investigate constitutive promoter openness post-sepsis (Classes 8, 9) in splenic CD11b+Gr1+ cells.

Strengths

• Data generated using MAPit-FENGC, a single-molecule assay providing simultaneous DNA methylation and chromatin accessibility profiles.
• Includes samples from both young and older adult male and female mice, enabling age- and sex-specific analysis.
• Findings define nine distinct promoter-level epigenetic classes based on unsupervised clustering.

Limitations

• Data is from a murine model; direct applicability to human sepsis and immune dysfunction may be limited.
• The dataset is a 26.9 MB PDF, requiring manual extraction of underlying data for computational analysis.
• Sample sizes for each age and sex cohort within the mouse model are not specified.

Provenance

Source

Author Angel M. Charles via figshare.

Collection Method

MAPit-FENGC assay and single-cell RNA sequencing on splenic MDSCs isolated from a murine sepsis model.

Freshness

Last updated on 2026-03-24.