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Cell. 2018 Aug 9;174(4):982-998.e20. doi: 10.1016/j.cell.2018.05.057. Epub 2018 Jun 18.

A Single-Cell Transcriptome Atlas of the Aging Drosophila Brain.

Author information

1
VIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
2
VIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.
3
VIB Bioinformatics Core, VIB, Ghent 9052, Belgium.
4
VIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium.
5
ESAT, KU Leuven, Leuven 3001, Belgium; Smart Applications and Innovation Services, IMEC, Leuven 3001, Belgium.
6
Department of Biosystems, KU Leuven, Leuven 3001, Belgium.
7
Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
8
Department of Biology, New York University, New York, NY 10003, USA.
9
VIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium. Electronic address: stein.aerts@kuleuven.vib.be.

Abstract

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.

KEYWORDS:

Drosophila; aging; brain; gene regulatory networks; mitochondria; neuronal subtypes; oxidative phosphorylation; single-cell RNA-seq; single-cell bioinformatics

PMID:
29909982
PMCID:
PMC6086935
DOI:
10.1016/j.cell.2018.05.057
[Indexed for MEDLINE]
Free PMC Article

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