A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain

By K. Davie, Jasper Janssens, Duygu Koldere, M. de Waegeneer, Uli Pech, Łukasz Kreft, S. Aibar, S. Makhzami, Valerie Christiaens, C. Bravo González-Blas and 14 more. Cell, 2018

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Summary The diversity of cell types and regulatory states in the brain, and how these change during aging, remains largely unknown. We present a single-cell transcriptome atlas of the entire adult Drosophila melanogaster brain sampled across its lifespan. Cell clustering identified 87 initial cell clusters that are further subclustered and validated by targeted cell-sorting. Our data show high granularity and identify a wide range of cell types. Gene network analyses using SCENIC revealed regulatory heterogeneity linked to energy consumption. During aging, RNA content declines exponentially without affecting neuronal identity in old brains. This single-cell brain atlas covers nearly all cells in the normal brain and provides the tools to study cellular diversity alongside other Drosophila and mammalian single-cell datasets in our unique single-cell analysis platform: SCope (http://scope.aertslab.org). These results, together with SCope, allow comprehensive exploration of all transcriptional states of an entire aging brain.

Subfields: Aging, Cellular and Molecular Neuroscience, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/df44775387941ee5dfe80e61e1a3e647bafe50eb

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Efficient integration of heterogeneous single-cell transcriptomes using Scanorama (2019, methodology): “…with LPS at 0, 1, 2, 4, and 6 hours 28 ; 11 public datasets of aging Drosophila melanogaster brain cells at 0, 1, 3, 6, 9, 15, 30, and 50 days 29 ; and five newly generated scRNA-seq datasets of human CD14+ monocytes that are stimulated with M-CSF (to be differentiated into macrophages) at…”