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Single-cell RNA sequencing data can unveil the molecular diversity of cell types. Cell type atlases of the mouse spinal cord have been published in recent years but have not been integrated together. Here, we generate an atlas of spinal cell types based on single-cell transcriptomic data, unifying the available datasets into a common reference framework. We report a hierarchical structure of postnatal cell type relationships, with location providing the highest level of organization, then neurotransmitter status, family, and finally, dozens of refined populations. We validate a combinatorial marker code for each neuronal cell type and map their spatial distributions in the adult spinal cord. We also show complex lineage relationships among postnatal cell types. Additionally, we develop an open-source cell type classifier, SeqSeek, to facilitate the standardization of cell type identification. This work provides an integrated view of spinal cell types, their gene expression signatures, and their molecular organization.

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Positive pion and kaon production from Au+Au reactions have been measured as a function of beam energy over the range 2.0-10.7 AGeV. Both the kaon and the pion production cross-sections at mid-rapidity are observed to increase steadily with beam kinetic energy. The ratio of K + to π + mid-rapidity yields increases from 0.0271±0.0015 ± 0.0014 at 2.0 AGeV to 0.202±0.005 ± 0.010 at 10.7 AGeV and is larger than the K + /π + ratio from p+p reactions over the same beam energy * Corresponding Author: C.A. Ogilvie, 24-410 Massachusetts Institute of Technology,