Literature DB >> 9023725

How to count synapses unbiasedly and efficiently at the ultrastructural level: proposal for a standard sampling and counting protocol.

T M Mayhew1.   

Abstract

After almost 40 years, there is still no consensus on criteria for identifying different types of synapse seen in electron microscopical thin sections or on methods for counting them unbiasedly in 3D. This review proposes a procedure which meets these aims and could be adopted as a standard best-practice sampling and counting convention. It deals exclusively with unbiased stereological methods for counting particles in 3D space because these are efficient and applicable to arbitrary particles regardless of their size, shape and orientation. Methods based on individual sections are excluded because arbitrary particles cannot be counted unbiasedly with such sections. Model-based methods (e.g. treating synaptic membrane densities as circular disks) are excluded because they are not unbiased in general and now have limited (mainly historical) interest only. For unbiased counting, the absolute minimum requirement is a pair of parallel sections (dissector). The following protocol is recommended for future studies on synapse number: (1) use para(membrane) densities as synaptic counting units, (2) do not qualify definition of the counting unit by reference to a minimum number of synaptic vesicle profiles, (3) sample and count synapses unbiasedly using the dissector, and (4) in preference convert number per volume into absolute number or, in this is not possible, estimate a synapse-to-neuron ratio.

Mesh:

Year:  1996        PMID: 9023725     DOI: 10.1007/bf02284842

Source DB:  PubMed          Journal:  J Neurocytol        ISSN: 0300-4864


  14 in total

1.  Spaceflight-induced synaptic modifications within hair cells of the mammalian utricle.

Authors:  David R Sultemeier; Kristel R Choy; Felix E Schweizer; Larry F Hoffman
Journal:  J Neurophysiol       Date:  2017-02-22       Impact factor: 2.714

2.  Ultrastructural heterogeneity of layer 4 excitatory synaptic boutons in the adult human temporal lobe neocortex.

Authors:  Rachida Yakoubi; Astrid Rollenhagen; Marec von Lehe; Dorothea Miller; Bernd Walkenfort; Mike Hasenberg; Kurt Sätzler; Joachim Hr Lübke
Journal:  Elife       Date:  2019-11-20       Impact factor: 8.140

3.  Insulin-like growth factor-I promotes neurogenesis and synaptogenesis in the hippocampal dentate gyrus during postnatal development.

Authors:  J R O'Kusky; P Ye; A J D'Ercole
Journal:  J Neurosci       Date:  2000-11-15       Impact factor: 6.167

4.  Aberrant restoration of spines and their synapses in L-DOPA-induced dyskinesia: involvement of corticostriatal but not thalamostriatal synapses.

Authors:  Yiyue Zhang; Gloria E Meredith; Nasya Mendoza-Elias; David J Rademacher; Kuei Y Tseng; Kathy Steece-Collier
Journal:  J Neurosci       Date:  2013-07-10       Impact factor: 6.167

Review 5.  Basic quantitative morphological methods applied to the central nervous system.

Authors:  Lutz Slomianka
Journal:  J Comp Neurol       Date:  2020-08-01       Impact factor: 3.215

6.  Counting Synapses Using FIB/SEM Microscopy: A True Revolution for Ultrastructural Volume Reconstruction.

Authors:  Angel Merchán-Pérez; José-Rodrigo Rodriguez; Lidia Alonso-Nanclares; Andreas Schertel; Javier Defelipe
Journal:  Front Neuroanat       Date:  2009-10-05       Impact factor: 3.856

7.  Role of mental retardation-associated dystrophin-gene product Dp71 in excitatory synapse organization, synaptic plasticity and behavioral functions.

Authors:  Fatma Daoud; Aurora Candelario-Martínez; Jean-Marie Billard; Avi Avital; Malik Khelfaoui; Yael Rozenvald; Maryvonne Guegan; Dominique Mornet; Danielle Jaillard; Uri Nudel; Jamel Chelly; Dalila Martínez-Rojas; Serge Laroche; David Yaffe; Cyrille Vaillend
Journal:  PLoS One       Date:  2008-08-10       Impact factor: 3.240

8.  Circadian plasticity in photoreceptor cells controls visual coding efficiency in Drosophila melanogaster.

Authors:  Martin Barth; Michael Schultze; Christoph M Schuster; Roland Strauss
Journal:  PLoS One       Date:  2010-02-15       Impact factor: 3.240

9.  A high-throughput framework to detect synapses in electron microscopy images.

Authors:  Saket Navlakha; Joseph Suhan; Alison L Barth; Ziv Bar-Joseph
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

10.  Studying synapses in human brain with array tomography and electron microscopy.

Authors:  Kevin R Kay; Colin Smith; Ann K Wright; Alberto Serrano-Pozo; Amy M Pooler; Robert Koffie; Mark E Bastin; Thomas H Bak; Sharon Abrahams; Katherine J Kopeikina; Declan McGuone; Matthew P Frosch; Thomas H Gillingwater; Bradley T Hyman; Tara L Spires-Jones
Journal:  Nat Protoc       Date:  2013-06-20       Impact factor: 13.491

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