Data Sheet 1_Transcriptome and targeted metabolome analysis reveals sugar metabolism regul

39,757 differentially expressed genes were identified from transcriptome and targeted metabolome analyses of maize stalk samples. The dataset, created by Shuqi Ding and last updated in May 2026, contains data from two maize varieties at two planting densities during two growth stages. It was generated to investigate the regulatory mechanisms of sugar metabolism in response to planting density.

Use Cases

• Identifying differentially expressed genes related to sugar metabolism based on transcriptome analysis.
• Analyzing metabolite profiles, such as glucose and sucrose content, based on targeted metabolomics data.
• Constructing gene co-expression networks to understand regulatory pathways based on the weighted gene co-expression network analysis mentioned.
• Studying the effects of planting density and growth stage on stalk composition and enzyme activity based on the described experimental design.

Strengths

• Includes data from a multi-factorial experimental design with two varieties, two planting densities, and two growth stages.
• Contains a substantial number of 39,757 differentially expressed genes for analysis.
• Combines two omics data types (transcriptomics and targeted metabolomics) for integrated analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset is relatively small at 19.4 MB, potentially limiting the depth of raw sequencing or spectral data provided.

Provenance

Source

figshare

Collection Method

Targeted metabolomics and transcriptomics analyses performed on maize stalk samples, combined with bioinformatics methods.

Time Range

Samples collected during the tasselling and grain filling stages.

Freshness

Last updated 2026-05-08 05:52:07; freshness should be verified.

Geography

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