Deer Velvet Antler Extract Sterilization Methods and Anticancer Activity Data

A 481.2 KB PDF file published on figshare by Nicolás Alegría-Aravena on April 20, 2026. The dataset compares sterilization methods for deer velvet antler extracts and their impact on anticancer activity in colorectal cancer cell lines. It includes data on microbial load reduction, protein quantification, cell viability assays, and tumor biomarker expression.

Use Cases

• Compare the efficacy of filtration versus other sterilization methods based on microbial load reduction data.
• Analyze the impact of lyophilization on protein expression levels in cancer cells based on flow cytometry results.
• Evaluate the relationship between extract concentration and cell viability reduction based on assays performed at 1 mg/mL.
• Assess protein integrity preservation across different sterilization approaches based on gel electrophoresis and BCA quantification.

Strengths

• Includes specific quantitative results, such as cell viability reductions of up to 37% ± 10% and 69% ± 8%.
• Compares two distinct antler sections (tip and base) and two processing states (lyophilised and non-lyophilised).
• Data is openly licensed under CC-BY-4.0, permitting reuse and redistribution.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• The dataset is small (481.2 KB) and contained within a PDF, which may require manual extraction for computational analysis.
• Description metadata is limited; actual data structure and quality require manual inspection after download.

Provenance

Source

figshare

Collection Method

Experimental data from water-based extraction of deer velvet antler, followed by contamination assessment, protein quantification, cell viability assays, and flow cytometry.

Time Range

Experimental timeframe not specified; dataset published in 2026.

Freshness

Last updated 2026-04-20 05:22:36; freshness should be verified.

Geography

Geographic origin of samples or study location not specified.