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However, most transcriptome\u2010wide methods capture static, cell\u2010wide averages that obscure the spatiotemporal aspects\u2014where and when\u2014of RNA life. Here we review recent advances that bring spatial and temporal resolution to transcriptome and RNA\u2010protein interaction analyses by labeling RNA either in defined subcellular locales (RNA proximity labeling) or during defined transcriptional time windows to capture the kinetics of RNA synthesis, degradation, and processing (RNA metabolic labeling). We further discuss how RNA labeling approaches can be integrated with RNA\u2010protein interaction mapping, opening new possibilities for studying ribonucleoprotein dynamics in space and time. 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