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A gene expression atlas of embryonic neurogenesis in Drosophila reveals complex spatiotemporal regulation of lncRNAs

Item Type:Preprint
Title:A gene expression atlas of embryonic neurogenesis in Drosophila reveals complex spatiotemporal regulation of lncRNAs
Creators Name:McCorkindale, A.L. and Wahle, P. and Werner, S. and Jungreis, I. and Menzel, P. and Shukla, C.J. and Lopes Pereira Abreu, R. and Irizarry, Rafael and Meyer, I. and Kellis, Manolis and Zinzen, R.P.
Abstract:Cell type specification during early nervous system development in Drosophila melanogaster requires precise regulation of gene expression in time and space. Resolving the programs driving neurogenesis has been a major challenge owing to the complexity and rapidity with which distinct cell populations arise. To resolve the cell type-specific gene expression dynamics in early nervous system development, we have sequenced the transcriptomes of purified neurogenic cell types across consecutive time points covering critical events in neurogenesis. The resulting gene expression atlas comprises a detailed resource of global transcriptome dynamics that permits systematic analysis of how cells in the nervous system acquire distinct fates. We resolve known gene expression dynamics and uncover novel expression signatures for hundreds of genes among diverse neurogenic cell types, most of which remain unstudied. We also identified a set of conserved and processed long-noncoding RNAs (lncRNAs) that exhibit spatiotemporal expression during neurogenesis with exquisite specificity. LncRNA expression is highly dynamic and demarcates specific subpopulations within neurogenic cell types. Our spatiotemporal transcriptome atlas provides a comprehensive resource to investigate the function of coding genes and noncoding RNAs during critical stages of early neurogenesis.
Keywords:Embryogenesis, lncRNA, Spatiotemporal Transcriptome, Neurogenesis, Animals, Drosophila Melanogaster
Source:bioRxiv
Publisher:Cold Spring Harbor Laboratory Press
Article Number:483461
Date:27 December 2018
Official Publication:https://doi.org/10.1101/483461
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https://edoc.mdc-berlin.de/18135/Final version

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