Data Sheet 1_Transcriptome and miRNAome analysis reveals expression profiles of platycodin

RNA-seq and miRNA sequencing data from Platycodon grandiflorus seedlings exposed to 40°C heat stress for up to 48 hours. The dataset includes physiological measurements and identifies 1019 common differentially expressed genes and 62 heat-responsive miRNAs. Ling Meng published this multi-omics analysis on figshare in May 2026 to elucidate thermotolerance mechanisms in this medicinal plant.

Use Cases

• Identify heat-responsive genes and miRNAs based on transcriptome and miRNAome sequencing data.
• Analyze expression profiles of platycodin biosynthesis genes (BASs, CYPs, UGTs, BGLUs) under stress.
• Investigate miRNA-mRNA regulatory networks mediating terpenoid metabolic flux redistribution.
• Study physiological stress markers like SOD, POD, APX enzyme activities and MDA/H2O2 levels.

Strengths

• Includes multi-omics data from both RNA-seq and miRNA sequencing.
• Covers six distinct time points (0, 1, 6, 12, 24, 48 hours) under controlled heat stress.
• Identifies 1019 common differentially expressed genes and 62 heat-responsive miRNAs with predicted targets.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Sample data is unavailable for previewing data structure.

Provenance

Source

figshare

Collection Method

Transcriptome sequencing (RNA-seq) and microRNA (miRNA) sequencing of Platycodon grandiflorus seedlings under laboratory-controlled high-temperature stress.

Time Range

Experimental time points: 0, 1, 6, 12, 24, and 48 hours of heat stress.

Freshness

Last updated 2026-05-22 04:28:08; freshness should be verified.