Evidence map›Paper›PMID 29909982›Full record

ArticleCell2018

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

Kristofer Davie, Jasper Janssens, Duygu Koldere, Maxime De Waegeneer, Uli Pech, Łukasz Kreft, Sara Aibar, Samira Makhzami, Valerie Christiaens, Carmen Bravo González-Blas and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 487 papers.

0numbers the graph read from it
0cells of the map it votes in
487citing papers in PubMed
40.7field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

487 citing papers in PubMed, 920 citations in OpenAlex.

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  6. Cell-type-specific circadian and light-responsive transcriptional dynamics in adultProceedings of the National Academy of Sciences of the United States of America · 2026
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  9. Regulatory logic of neuronal differentiation in theProceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Temporal and Cell-Specific Regulation of Synaptic Homeostasis by the Chromatin Remodeler Chd1.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  16. Extracellular KNature communications · 2026
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427 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

24 authors at 4 institutions in 2 countries.

Kristofer DavieVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Jasper JanssensVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Duygu KoldereVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Maxime De WaegeneerVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Uli PechVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.
Łukasz KreftVIB Bioinformatics Core, VIB, Ghent 9052, Belgium.
Sara AibarVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Samira MakhzamiVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Valerie ChristiaensVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Carmen Bravo González-BlasVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Suresh PoovathingalVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium.
Gert HulselmansVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Katina I SpanierVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Human Genetics KU Leuven, Leuven 3000, Belgium.
Thomas MoermanESAT, KU Leuven, Leuven 3001, Belgium; Smart Applications and Innovation Services, IMEC, Leuven 3001, Belgium.
Bram VanspauwenDepartment of Biosystems, KU Leuven, Leuven 3001, Belgium.
Sarah GeursDepartment of Human Genetics KU Leuven, Leuven 3000, Belgium.
Thierry VoetDepartment of Human Genetics KU Leuven, Leuven 3000, Belgium.
Jeroen LammertynDepartment of Biosystems, KU Leuven, Leuven 3001, Belgium.
Bernard ThienpontDepartment of Human Genetics KU Leuven, Leuven 3000, Belgium.
Sha LiuVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.
Nikos KonstantinidesDepartment of Biology, New York University, New York, NY 10003, USA.
Mark FiersVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.
Patrik VerstrekenVIB Center for Brain & Disease Research, KU Leuven, Leuven 3000, Belgium; Department of Neurosciences, KU Leuven, Leuven 3000, Belgium.
Stein AertsVIB 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.
KU Leuven · BEVIB-KU Leuven Center for Brain & Disease Research · BENew York University · USVIB-VUB Center for Structural Biology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

AgingGene Regulatory NetworksTranscriptomeAnimalsBrainDrosophila melanogasterDrosophila ProteinsFemaleGene Expression ProfilingMaleSingle-Cell AnalysisDrosophila ProteinsagingbrainDrosophilagene regulatory networksmitochondrianeuronal subtypesoxidative phosphorylationsingle-cell bioinformaticssingle-cell RNA-seq

Identifiers

PMID29909982
PMCPMC6086935
OpenAlexW2807884764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.