bioRxivNeurosciencePreprint
A gene expression atlas of a juvenile nervous system
Seth R. TayloriD, Claire E. Olson, Lidia Ripoll-SáncheziD, Giulio ValpergaiD, Rebecca D. McWhirter, S. Barney, Alexander Atkinson, Sidharth Goel, Alexis WeinrebiD, Andrew J. Hardin, Alexis Rolfson, Jacob Pattee, G. Robert AguilariD, Daniel M. MerrittiD, Matthew ErogluiD, Maryam MajeediD, Ethan Grundvig, E. Child, Isabel BeetsiD, Petra E. VértesiD, Erdem VaroliD, Oliver HobertiD, David M. Miller, David M. MilleriD
Abstract
Although the fundamental architecture of metazoan nervous systems is typically established in the embryo, substantial numbers of neurons are added during post-natal development while existing neurons expand in size, refine connectivity, and undergo additional differentiation. To reveal the underlying molecular determinants of postembryonic neurogenesis and maturation, we have produced gene expression profiles of all neuron types and their progenitors in the first larval stage (L1) of C. elegans. Comparisons of the L1 profile to the embryo and to the later L4 larval stage identified thousands of differentially expressed genes across individual neurons throughout the nervous system. Key neuropeptide signaling networks, for example, are remodeled during larval development. Gene regulatory network analysis revealed potential transcription factors driving the temporal changes in gene expression across the nervous system, including a broad role for the heterochronic transcription factor lin-14. We utilized available connectomic data of juvenile animals in combination with our neuron-specific atlas to identify potential molecular determinants of membrane contact and synaptic connectivity. These expression data are available through a user-friendly interface at CeNGEN.org for independent investigations of the maturation, connectivity and function of a developing nervous system.
- organism: C. elegans
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
- Citations
- 4
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