Evidence map›Paper›PMID 26283929›Full record

ArticleFrontiers in neuroanatomy2015

Knowing a synapse when you see one.

Alain Burette, Forrest Collman, Kristina D Micheva, Stephen J Smith, Richard J Weinberg

Abstract read
In one paragraph

Article in Frontiers in neuroanatomy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. A synapse census for the ages.Science (New York, N.Y.) · 2020
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Postsynaptic protein organization revealed by electron microscopy.Current opinion in structural biology · 2019
    Review
  15. A Student's Guide to Neural Circuit Tracing.Frontiers in neuroscience · 2019
    Review
  16. Article
  17. Probabilistic fluorescence-based synapse detection.PLoS computational biology · 2017
    Article
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

5 authors.

Alain BuretteDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill Chapel Hill, NC, USA.
Forrest CollmanAllen Institute for Brain Science Seattle, WA, USA.
Kristina D MichevaDepartment of Molecular and Cellular Physiology, Stanford University Stanford, CA, USA.
Stephen J SmithAllen Institute for Brain Science Seattle, WA, USA.
Richard J WeinbergDepartment of Cell Biology and Physiology, University of North Carolina at Chapel Hill Chapel Hill, NC, USA.

Funding

Synaptomes of Mouse and ManR01NS092474 · NINDS · ALLEN INSTITUTE · PI BURNS, RANDAL, SMITH, STEPHEN J · 2014 to 2018
$8.7M
The Supramolecular Architecture of the Postsynaptic DensityR01NS039444 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERG, RICHARD J · 2000 to 2021
$6.1M
Dynamics and molecular mechanism of synaptic connectivity change during learningR01MH104227 · NIMH · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI ZUO, YI · 2014 to 2018
$2.1M
Single-Synapse Analysis of Neocortical Circuit PlasticityR01NS075252 · NINDS · STANFORD UNIVERSITY · PI MADISON, VERNON DANIEL, SMITH, STEPHEN J · 2011 to 2014
$2.0M
A Fast Proteometric Synapse Census PlatformR21MH099797 · NIMH · STANFORD UNIVERSITY · PI SMITH, STEPHEN J · 2012 to 2013
$406k
NIMH NIH HHS R01 MH104227NIMH NIH HHS R21 MH099797NINDS NIH HHS R01 NS039444NINDS NIH HHS R01 NS075252NINDS NIH HHS R01 NS092474
6 · The paper itself

Abstract

Recent years have seen a rapidly growing recognition of the complexity and diversity of the myriad individual synaptic connections that define brain synaptic networks. It has also become increasingly apparent that the synapses themselves are a major key to understanding the development, function and adaptability of those synaptic networks. In spite of this growing appreciation, the molecular, structural and functional characteristics of individual synapses and the patterning of their diverse characteristics across functional networks have largely eluded quantitative study with available imaging technologies. Here we offer an overview of new computational imaging methods that promise to bring single-synapse analysis of synaptic networks to the fore. We focus especially on the challenges and opportunities associated with quantitative detection of individual synapses and with measuring individual synapses across network scale populations in mammalian brain.

Indexed as

array tomographycortexelectron microscopyfluorescencemicroscopynetworksynapse

Identifiers

PMID26283929
PMCPMC4517447

What OpenQuestion holds

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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.