Arabidopsis Transcriptome and Hormone Response to flg22 Over 18 Hours

GEO GSE78735 data provides Arabidopsis thaliana RNA-3seq data for 18,750 genes and 37 hormones across 17 genotypes and 7 time points after flg22 treatment. The dataset, authored by Fumiaki Katagiri, includes mean and standard error estimates, transcript response changes, and signaling allocation results. It contains multiple tab-delimited files with data derived from 3 biological replicates per condition.

Use Cases

• Modeling plant immune signaling allocation based on the described 16 allocation results across 6 time points.
• Analyzing transcript response changes (difference in differences) for combinatorial genotypes compared to wild-type or quadruple mutant controls.
• Investigating hormone and compound dynamics in response to flg22 treatment across 7 time points.
• Comparing gene expression patterns across 17 Arabidopsis genotypes, including the fls2 mutant.

Strengths

• Data covers 18,750 genes and 37 hormones/compounds, providing a broad molecular view.
• Includes 3 biological replicates per combination of 17 genotypes and 7 time points, suggesting experimental rigor.
• Provides multiple analytical outputs including mean estimates, standard errors, and statistical p-values for response changes.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown for some files, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

GEO GSE78735

Collection Method

Arabidopsis thaliana RNA-3seq data collected from experimental treatments with flg22.

Time Range

Time series at 0, 1, 2, 3, 5, 9, and 18 hours after treatment.