Pinellia Ternata Transcriptome Data for Alkaloid Biosynthesis Pathway Analysis

Yanyan Pei's research data from 2026 includes transcriptomic profiling yielding 63,106 unigenes from two cultivated varieties of Pinellia ternata. The data was generated via LC-MS analysis and transcriptome sequencing to identify key enzyme and transcription factor genes involved in alkaloid synthesis. Functional verification was conducted via gene overexpression in P. ternata callus.

Use Cases

• Identify differentially expressed genes in alkaloid biosynthesis pathways based on transcriptomic profiling.
• Validate gene function in alkaloid metabolism based on overexpression experiments in plant callus.
• Annotate secondary metabolic pathways based on the collection of 63,106 unigenes.
• Compare alkaloid profiles between plant varieties based on LC-MS analysis data.

Strengths

• Includes a specific count of 63,106 unigenes from transcriptomic profiling.
• Data is associated with functional verification via gene overexpression experiments.
• Licensed under CC-BY-4.0 for open reuse.

Limitations

• Dataset is a 148.6 KB PDF; the underlying structured data (e.g., expression matrices) is not directly accessible.
• Column-level documentation is absent; field semantics must be inferred from the publication.
• Row count for any potential underlying data tables is unknown.

Provenance

Source

Yanyan Pei via figshare.

Collection Method

Transcriptome sequencing and LC-MS analysis of two cultivated Pinellia ternata varieties.

Freshness

Last updated 2026-04-28 05:28:18.