VAST: Transient Gene Expression Data for 8 Plant Species

49.7 KB of data from the VAST (Vacuum and Sonication-Assisted Transient transformation) method, which enhances gene expression efficiency in plant seedlings. The dataset, created by Eugene Li and last updated in March 2026, includes results from experiments on Arabidopsis thaliana and key crop species like tomato, maize, and wheat. It supports a cross-species analysis of nitrate-responsive gene expression.

Use Cases

• Benchmarking transient gene expression efficiency based on the described vacuum and sonication pretreatments.
• Conducting cross-species gene function analysis based on the nitrate-responsive gene expression case study.
• Optimizing plant transformation protocols for diverse monocot and eudicot species mentioned in the description.

Strengths

• Data is associated with a method validated across 8 plant species, including Arabidopsis, tomato, and wheat.
• The dataset is small (49.7 KB), facilitating quick download and initial inspection.
• Includes a specific case study on nitrate-responsive gene expression for cross-species comparison.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The 49.7 KB file size suggests a limited scope of experimental results.

Provenance

Source

figshare, author Eugene Li.

Collection Method

Data likely generated from laboratory experiments using the VAST transformation method on plant seedlings.

Freshness

Last updated 2026-03-22 13:03:33; freshness should be verified.