Multi-Omics Analysis of Daifu Decoction in Ulcerative Colitis Mouse Model

A 10.4 KB Excel file contains multi-omics data from a study on Daifu decoction's effects on ulcerative colitis in mice. The dataset includes results from transcriptomics, metabolomics, and 16S rRNA sequencing analyses, authored by Yangyang Zhao and published in March 2026. It supports the investigation of the PKCγ/ERK/NF-κB signaling pathway and gut microbiota changes.

Use Cases

• Integrate transcriptomics and metabolomics data to identify key molecular targets like PRKCG for ulcerative colitis treatment.
• Analyze 16S rRNA sequencing results to correlate changes in gut microbiota diversity with treatment dosage levels (1.6, 3.2, 6.4 g/(kg·d)).
• Validate multi-omics findings by cross-referencing qPCR, western blotting, and immunohistochemistry data on tight junction protein expression.
• Use molecular docking and dynamics simulation data to assess the binding stability of active DFD components to the PRKCG target.

Strengths

• Data is derived from a multi-omics framework integrating transcriptomics, metabolomics, and 16S rRNA sequencing.
• Experimental verification includes molecular docking, dynamics simulations, qPCR, western blotting, and immunohistochemistry.
• The dataset is openly licensed under CC BY 4.0, facilitating reuse and redistribution.

Limitations

• The dataset is very small at 10.4 KB, indicating limited scope and likely a summary or key results rather than raw experimental data.
• Sample size and specific row/column counts are unknown, limiting statistical power assessments and detailed reproducibility.
• Data is specific to a DSS-induced ulcerative colitis mouse model, which may not fully translate to human disease mechanisms.

Provenance

Source

figshare, authored by Yangyang Zhao.

Collection Method

Generated from a laboratory study involving a DSS-induced ulcerative colitis mouse model treated with Daifu decoction, analyzed via multi-omics and experimental techniques.

Freshness

Last updated March 24, 2026.

Geography

Study likely conducted in China, given the focus on Traditional Chinese Medicine.