Liubao Tea Multi-Omics Analysis: Modulation of Lymphatic Endothelial Cell Metabolism

9.7 KB of tabular data from a study combining single-cell transcriptomics, bulk transcriptomics, network pharmacology, and molecular docking to identify Liubao tea's effects on lymphatic endothelial cells. The dataset, authored by Xiaoxiao Huang and last updated in May 2026, includes results from in vitro experiments verifying the tea extract's impact on cell survival, migration, and gene expression. It provides a scientific basis for using Liubao tea as a functional fermented food in lymphedema intervention.

Use Cases

• Validate the identified target gene PRKCB in other models of lymphatic dysfunction based on the multi-omics integration analysis.
• Investigate the protein-protein interaction network involving PRKCB, IKBKB, PIK3CG, and GSK3B for drug discovery based on the PPI network analysis.
• Screen other natural compounds for affinity to PRKCB based on the molecular docking results and binding energy scores.
• Model the 'inflammation-metabolism' cycle in lymphatic endothelial cells based on the gene expression changes (PRKCB, PROX1) described.

Strengths

• Data is derived from a multi-method study combining single-cell analysis, bulk transcriptomics, network pharmacology, and molecular docking.
• In vitro experimental validation includes specific p-values (p < 0.01, p < 0.001, p < 0.05) for functional assays and gene expression changes.
• The dataset is openly shared under a CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale statistical modeling.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (9.7 KB), indicating limited scope, likely containing summary results rather than raw omics data.

Provenance

Source

figshare, author Xiaoxiao Huang

Collection Method

Combined computational multi-omics analysis (single-cell/bulk transcriptomics, network pharmacology, molecular docking) with in vitro cell culture experiments (CCK-8, wound healing, RT-qPCR).

Freshness

Last updated 2026-05-18 05:38:41; freshness should be verified.