Evidence map›Paper›PMID 30078578›Full record

ArticleNeuron2018

Architecture of the Mouse Brain Synaptome.

Fei Zhu, Mélissa Cizeron, Zhen Qiu, Ruth Benavides-Piccione, Maksym V Kopanitsa, Nathan G Skene, Babis Koniaris, Javier DeFelipe, Erik Fransén, Noboru H Komiyama and 1 more

Abstract read
In one paragraph

Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 146 papers.

0numbers the graph read from it
0cells of the map it votes in
146citing papers in PubMed
–field-weighted citation impact
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

146 citing papers in PubMed.

  1. Article
  2. Article
  3. Region- and Layer-Specific Glutamatergic Synapse Development in the Nascent Cortical Hierarchy.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
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  8. Article
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  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. The inferred functional connectome underlying circadian synchronization in the mouse suprachiasmatic nucleus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

86 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Fei ZhuGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK.
Mélissa CizeronGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; Institut NeuroMyoGène, Université de Lyon, Université Claude Bernard Lyon 1, CNRS UMR-5310, INSERM U-1217, 69008 Lyon, France.
Zhen QiuGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Ruth Benavides-PiccioneInstituto Cajal (CSIC) 28002 Madrid, Centro de Tecnología Biomédica (UPM) 28223 Madrid; CIBERNED, ISCIII, 28031 Madrid, Spain.
Maksym V KopanitsaSynome Ltd, Babraham Research Campus, Cambridge CB22 3AT, UK; UK Dementia Research Institute, Imperial College London, London W12 0NN, UK.
Nathan G SkeneGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK; UCL Institute of Neurology, Queen Square, WC1N 3BG London, UK; Laboratory of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institutet, 17177 Stockholm, Sweden.
Babis KoniarisGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Javier DeFelipeInstituto Cajal (CSIC) 28002 Madrid, Centro de Tecnología Biomédica (UPM) 28223 Madrid; CIBERNED, ISCIII, 28031 Madrid, Spain.
Erik FransénDepartment of Computational Science and Technology, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 10044 Stockholm, Sweden.
Noboru H KomiyamaGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK.
Seth G N GrantGenes to Cognition Program, Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh EH16 4SB, UK. Electronic address: seth.grant@ed.ac.uk.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Synapses are found in vast numbers in the brain and contain complex proteomes. We developed genetic labeling and imaging methods to examine synaptic proteins in individual excitatory synapses across all regions of the mouse brain. Synapse catalogs were generated from the molecular and morphological features of a billion synapses. Each synapse subtype showed a unique anatomical distribution, and each brain region showed a distinct signature of synapse subtypes. Whole-brain synaptome cartography revealed spatial architecture from dendritic to global systems levels and previously unknown anatomical features. Synaptome mapping of circuits showed correspondence between synapse diversity and structural and functional connectomes. Behaviorally relevant patterns of neuronal activity trigger spatiotemporal postsynaptic responses sensitive to the structure of synaptome maps. Areas controlling higher cognitive function contain the greatest synapse diversity, and mutations causing cognitive disorders reorganized synaptome maps. Synaptome technology and resources have wide-ranging application in studies of the normal and diseased brain.

Indexed as

AnimalsBrainBrain ChemistryComputational BiologyConnectomeMaleMiceMice, Inbred C57BLMice, KnockoutMice, TransgenicProteomeSynapsesProteomeconnectomemachine learningmutationPSD95SAP102synapse diversitysynapse proteomesynaptic proteinssynaptomesynaptomic

Identifiers

PMID30078578
PMCPMC6117470

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.