Noah Dillon, Ben Cocanougher, Chhavi Sood, Xin Yuan, Andrea B Kohn, Leonid L Moroz, Sarah E Siegrist, Marta Zlatic, Chris Q Doe
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Single cell RNA-seq analysis reveals temporally-regulated and quiescence-regulated gene expression in Drosophila larval neuroblasts.
The mechanisms that generate neural diversity during development remains largely unknown. Here, we use scRNA-seq methodology to discover new features of the Drosophila larval CNS across several key developmental timepoints. We identify multiple progenitor subtypes - both stem cell-like neuroblasts and intermediate progenitors - that change gene expression across larval development, and report on new candidate markers for each class of progenitors. We identify a pool of quiescent neuroblasts in newly hatched larvae and show that they are transcriptionally primed to respond to the insulin signaling pathway to exit from quiescence, including relevant pathway components in the adjacent glial signaling cell type. We identify candidate "temporal transcription factors" (TTFs) that are expressed at different times in progenitor lineages. Our work identifies many cell type specific genes that are candidates for functional roles, and generates new insight into the differentiation trajectory of larval neurons.
期刊介绍:
Neural Development is a peer-reviewed open access, online journal, which features studies that use molecular, cellular, physiological or behavioral methods to provide novel insights into the mechanisms that underlie the formation of the nervous system.
Neural Development aims to discover how the nervous system arises and acquires the abilities to sense the world and control adaptive motor output. The field includes analysis of how progenitor cells form a nervous system during embryogenesis, and how the initially formed neural circuits are shaped by experience during early postnatal life. Some studies use well-established, genetically accessible model systems, but valuable insights are also obtained from less traditional models that provide behavioral or evolutionary insights.