This chapter provides an overview of emerging sequencing technologies that are transforming transcriptomic analysis at both single-cell and spatial levels. We describe the main principles and workflows of current single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq) platforms, including droplet-based, microwell-based, plate-based, and hydrogel-based methods. Spatial transcriptomics methods are also discussed, focusing on techniques that retain spatial context and support large-scale transcriptomic analysis. The work also provides an overview of computational platforms for data processing, integration, and visualization, highlighting their essential role in interpreting complex, high-dimensional single-cell and spatial datasets. Together, these technological and computational innovations constitute an integrated framework for dissecting tissue organization, cellular interactions, and molecular heterogeneity in health and disease.