Plant transcriptomics unravels how genes are expressed and regulated throughout tissues, developmental stages, and environments. This session will highlight RNA sequencing technologies that chart the transcriptome to unprecedented depth and resolution. Participants will find out how mRNA profiling unravels dynamic gene expression responses to stresses like drought, salinity, and pathogens. Researchers will illustrate case studies demonstrating how transcriptomics unveils candidate genes for crop improvement. The session highlights integration with other omics technologies like proteomics and metabolomics to construct systems-level knowledge. Participants will also be taught bioinformatics pipelines for processing big transcriptomic data. Non-coding RNAs and alternative splicing of genes and their function in the regulation of plant physiology will be presented. Emerging methodologies like single-cell transcriptomics will be presented to demonstrate how gene activity varies across individual cells. Practical applications are genotyping for stress resilience and enhancing plant productivity. The session connects molecular biology, computational analysis, and applied agriculture to give a complete overview of gene expression in plants.