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

11.1 KB Excel file containing results from a multi-omics study on Liubao tea's effects on lymphatic endothelial cells. The dataset, authored by Xiaoxiao Huang and last updated in May 2026, integrates single-cell transcriptomics, bulk transcriptomics, network pharmacology, and molecular docking to identify the gene PRKCB as a key target. In vitro validation data on cell survival, migration, and gene expression changes are included.

Use Cases

• Validate the identified gene target PRKCB in models of lymphatic dysfunction based on the multi-omics integration results.
• Analyze protein-protein interaction networks involving PRKCB, IKBKB, PIK3CG, and GSK3B as described in the study.
• Investigate molecular docking affinities for Liubao tea components like tirilose against protein targets.
• Model the 'metabolism-inflammation' cycle in lymphatic endothelial cells using the transcriptomic and experimental data.

Strengths

• Integrates four distinct analytical methods: single-cell transcriptomics, bulk transcriptomics, network pharmacology, and molecular docking.
• Includes specific, validated experimental results, such as a PRKCB fold change of 24.30 and a binding energy of -9.3 kcal/mole for tirilose.
• Released under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Row count and column-level documentation are unknown, requiring manual inspection after download to understand the data structure.
• The dataset's 11.1 KB size suggests a very limited scope, likely containing summary results rather than raw omics data.
• Data may reflect the specific experimental and analytical biases inherent to the single study described.

Provenance

Source

figshare

Collection Method

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

Time Range

Experimental timeframe not specified.

Freshness

Last updated 2026-05-18 05:38:37; freshness should be verified.

Geography

Geographic origin of data not specified.