Camellia Oleifera Postharvest Warm-Conditioning Multi-Omic Data

A multi-omic dataset from a study on Camellia oleifera fruit. It integrates transcriptomics, metabolomics, and biochemical assays from seed-kernel tissues collected at 0, 12, and 24 hours of postharvest warm conditioning. The dataset was authored by Jianwen Wu and last updated on 2026-04-23.

Use Cases

• Analyze transcriptional reprogramming in response to postharvest stress based on RNA-seq data mentioned in the description
• Investigate the relationship between HMGR gene expression and squalene accumulation based on targeted biochemical assays and RT-qPCR results
• Study coordinated changes in phosphorylation-related components based on the transcriptional responses of MPK3/MPK6-like kinases and PP1/PP2A subunits

Strengths

• Integrates multiple data types: transcriptomics, UPLC–MS/MS metabolomics, targeted biochemical assays, and RT–qPCR.
• Provides time-series data from three distinct time points (0, 12, and 24 hours) of treatment.
• Dataset is openly available under a CC-BY-4.0 license.

Limitations

• Row count and column-level documentation are unknown, which limits suitability assessment.
• The dataset is small (1.8 MB), suggesting it may be a summary or processed results rather than raw sequencing data.

Provenance

Source

figshare

Collection Method

Data was generated from seed-kernel tissues of Camellia oleifera fruits incubated at 35 °C and 95% RH.

Freshness

Last updated 2026-04-23 05:26:55; freshness should be verified.