Genome-wide RNA Tomography in the zebrafish embryo.

By J. Junker, E. Noël, V. Guryev, Kevin A. Peterson, Gopi Shah, Jan Huisken, Andrew P. McMahon, Eugene Berezikov, J. Bakkers, Alexander van Oudenaarden. Cell, 2014

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Design and Analysis of Single-Cell Sequencing Experiments. (2015, methodology): “For example, Junker et al. applied an amended CEL-seq protocol to sequence longer reads at low depths on bulk material in order to accurately detect 3 0 polyadenylation sites for zebraﬁsh embryos (Junker et al., 2014).”
Museum of spatial transcriptomics (2020, background): “The former includes 2000s voxelation [68] (Figure 4), and Tomo-seq [69], which sections a tissue with a cryotome along an axis of interest, followed by RNAseq on each section.”
Cell2location maps fine-grained cell types in spatial transcriptomics (2022, unknown): “15), which we considered for further analysis.”
Integrating single-cell transcriptomic data across different conditions, technologies, and species (2018, unknown): “…we focus here on alignment of sequencing-based data sets, the recent invention of spatially resolved or in situ methods for transcriptomic profiling 53–55 raises the potential for integration with scRNA-seq data sets, extending previous efforts to spatially resolve scRNA-seq data 9,10 towards an…”