The Transcriptome Turnover Database (TTDB) is a comprehensive and user-friendly resource dedicated to the exploration of mRNA stability across a diverse range of species. mRNA stability, a critical aspect of gene regulation, refers to how long messenger RNA molecules persist in the cell before being degraded. This process, known as mRNA turnover, plays a fundamental role in controlling protein synthesis and cellular responses. As a centralized repository, TTDB integrates extensive mRNA half-life measurements and degradation rates for various genes, with a specific focus on high-throughput datasets.

Beyond its rich collection of experimental data, TTDB features an array of sophisticated computational annotations related to mRNA stability. These include detailed analyses such as GC Content (mRNA), Minimum Free Energy (MFE), uAUG Count, and ARE Total. Notably, the database includes both wild-type (WT) and non-wild-type experimental conditions, encompassing gene knockout models, genetic mutations, disease models (including ALS), and various perturbation studies, providing comprehensive insights into how different cellular contexts affect mRNA stability.

Designed for ease of use, TTDB offers powerful search functionalities that enable researchers to retrieve specific information from multiple dimensions, including relevant literature references, individual genes, and sample properties. The database currently encompasses a vast amount of data derived from 57 publications, comprising 198 high-throughput datasets spanning five distinct species and 46 different cell types, thereby serving as an invaluable tool for the genomics and bioinformatics communities.