GEOapplication/xmlftp://ftp.ncbi.nlm.nih.gov/geo/series/GSE249nnn/GSE249398/primaryOK200TranscriptomicsMus musculus OtherExpression profiling by high throughput sequencinghttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE249398GEOGSEfalseSpatial mapping of RNA turnover kinetics in the mouse brain [scNT-seq2]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.2026/06/12GSE249398GSM7945717GSM7945739GSM7945727GSM7945719GSM7945729GSM7945731GSM7945741GSM7945733GSM7945755GSM7945721GSM7945735GSM7945723GSM7945756GSM7945737GSM7945715GSM7945725GSM7945758GSM794576019057249398Mus musculus