Processed RNA-seq gene expression and enrichment analysis data from [Role of NK Cells in Immune Regulation and Sepsis-Induced Inflammation]

Research Hypothesis and Data Description:

The dataset was generated to investigate the role of NK (natural killer) cells in immune regulation during sepsis-induced inflammation. We hypothesized that NK cells modulate the expression of key immune-related genes and pathways, affecting inflammation and tissue response during sepsis.

Data Summary:

The dataset consists of processed RNA-seq gene expression data from NK cells isolated from control and sepsis models.

It includes normalized gene expression matrices, lists of differentially expressed genes (DEGs), and functional enrichment analysis results (GO and KEGG pathways).

Visualizations such as heatmaps, barplots, and volcano plots are also included to summarize gene expression patterns and enriched pathways.

Notable Findings:

NK cells in sepsis models show significant changes in genes involved in cytokine signaling, immune response, and inflammatory pathways.

Enrichment analysis highlights key pathways potentially regulated by NK cells, such as TNF signaling, NF-κB pathway, and interferon-mediated responses.
The data suggests that NK cells may have both pro- and anti-inflammatory roles in sepsis progression, providing insights into immune modulation mechanisms.

Data Interpretation and Use:

Researchers can use this dataset to explore NK cell-specific transcriptional changes, identify novel targets for immunomodulation, or perform comparative analysis with other immune cell types.
The processed gene expression and enrichment results allow reanalysis, integration with other datasets, and functional interpretation without needing access to raw sequencing files.
This dataset is particularly useful for studying immune regulation, inflammation, and cell-specific responses in sepsis models.