Publications
Stellaromics technology is backed by cutting edge research on transcriptomics, in situ mapping, and more. To learn about the research that led to Pyxa and additional upcoming innovations from the team, see the below publications.
Scalable spatial single-cell transcriptomics and translatomics in 3D thick tissue blocks. BioRxiv 2024.
​​
Branched chemically modified poly(A) tails enhance the translation capacity of mRNA. Nature Biotechnology 2024.
​​
Spatially resolved single-cell translatomics at molecular resolution. Science 2023, 380, eadd3067.
​
Multimodal charting of molecular and functional cell states via in situ electro-sequencing. Cell 2023, 186, 2002.e21.
Spatiotemporally resolved transcriptomics reveals the subcellular RNA kinetics landscape. Nature Methods 2023, 20, 695.
Integrative in situ mapping of single-cell transcriptional states and tissue histopathology in a mouse model of Alzheimer's disease. Nature Neuroscience 2023, 26, 430.
Cell-type-specific population dynamics of diverse reward computations. Cell 2022, 185, 3568.
​
ClusterMap for multi-scale clustering analysis of spatial gene expression. Nature Communications 2021, 12, 5909. [Code][Data]
Cerebellar nuclei evolved by repeatedly duplicating a conserved cell-type set. Science 2020, eabd5059.
Three-dimensional intact-tissue-sequencing of single-cell transcriptional states. Science 2018, eaat5691.
