GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE249nnn/GSE249403/primaryOK200TranscriptomicsMus musculus OtherExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249403GEOGSEfalseSpatial mapping of RNA turnover kinetics in the mouse brain [Spatial NT-seq]Gene regulation requires coordinated control of RNA synthesis and degradation, yet measuring RNA turnover across intact tissues remains challenging. Here we present spatial NT-seq, a method that combines transgenesis-free metabolic RNA labeling with in situ chemical recoding on spatial transcriptomics platforms to co-map newly synthesized and pre-existing RNAs. Applying spatial NT-seq to the mouse brain reveals pronounced regional heterogeneity in RNA turnover and identifies the dentate gyrus as a spatial hotspot marked by coordinated up-regulation of basal RNA synthesis and decay. Moreover, spatial NT-seq uncovers rapid, brain region-specific transcriptional and post-transcriptional responses to electroconvulsive stimulation, a clinically relevant treatment for refractory depression. Finally, we leverage computational modeling to identify sequence features and post-transcriptional regulators that shape transcriptome-wide mRNA stability across spatial and cellular contexts in the mouse brain. Together, this integrated “in vivo Timescope” framework provides a spatially resolved view of RNA turnover kinetics and reveals the regulatory architecture of RNA stability in vivo.2026/06/12GSE249403GSM7946817GSM7946806GSM7946805GSM7946816GSM7946819GSM7946808GSM7946807GSM7946818GSM7946809GSM7946820GSM7946811GSM7946810GSM7946802GSM7946813GSM7946812GSM7946801GSM7946804GSM7946815GSM7946814GSM794680319057249403Mus musculus