PSRN

PSRN aggregates RNA-Seq datasets to identify stress-specific differentially expressed coding transcripts and long non-coding RNAs (lncRNAs) across multiple plant species for analysis of responses to abiotic and biotic stresses.

Key Features:

• Data scope: Contains RNA-Seq data from 12 plant species comprising 26 plant-stress datasets and 937 samples.
• Stress coverage: Targets both abiotic and biotic plant stresses.
• Subset organization: Samples are organized into 133 stress-specific subsets and 254 subset pairs for pairwise comparative analysis.
• Differential expression analysis: Identifies differentially expressed transcripts between selected stress-specific conditions.
• Transcript types analyzed: Provides expression profiles for coding transcripts and long non-coding RNAs (lncRNAs).
• Sequencing technology: Leverages RNA sequencing (RNA-Seq) datasets.

Scientific Applications:

• Molecular breeding: Supports identification of stress-specific transcripts as candidate targets for breeding programs.
• Evolutionary studies: Enables comparative analysis of stress-responsive transcripts across multiple plant species.
• Plant stress response research: Facilitates investigation of molecular mechanisms and cellular processes underlying responses to abiotic and biotic stresses.
• Climate and food security research: Informs strategies to mitigate climate change impacts and improve crop resilience through transcript-level insights.

Methodology:

Uses RNA-Seq datasets organized into 133 stress-specific subsets and 254 subset pairs (26 datasets, 937 samples) to compute differential expression of coding transcripts and lncRNAs between stress-specific conditions.