Spike-in RNA-seq and Ribo-seq of Budding Yeast under Differernt Nutrient Conditions
This project profiles transcription and translation in Saccharomyces cerevisiae across four defined growth conditions. We generated spike-in RNA-seq datasets to quantify absolute (per-cell) total mRNA concentration and to assess global transcriptome changes with internal standards. In parallel, ribosome profiling (Ribo-seq) was performed to map ribosome-protected footprints and estimate gene-specific translation efficiency by relating footprint density to mRNA abundance. Together, these paired datasets provide a resource to dissect how gene expression is allocated between transcription and translation under distinct conditions.