ReviewNeurophotonics2016
Counting numbers of synaptic proteins: absolute quantification and single molecule imaging techniques.
Review in Neurophotonics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed, 24 citations in OpenAlex.
- Weaker neuroligin 2-neurexin β1 interaction tethers membranes and recruits gephyrin at membrane junctions through clustering.Science advances · 2026Article
- Single molecule counting detects low-copy glycine receptors in hippocampal and striatal synapses.eLife · 2026Article
- Intraneuronal binding of amyloid beta with reelin-Implications for the onset of Alzheimer's disease.PLoS computational biology · 2025Article
- The Shaping of AMPA Receptor Surface Distribution by Neuronal Activity.Frontiers in synaptic neuroscience · 2022Review
- Imaging Synaptic Density: The Next Holy Grail of Neuroscience?Frontiers in neuroscience · 2022Review
- Differential chloride homeostasis in the spinal dorsal horn locally shapes synaptic metaplasticity and modality-specific sensitization.Nature communications · 2020Article
- Enhancing neuronal chloride extrusion rescues α2/α3 GABANature communications · 2020Article
- Unraveling the Nanoscopic Organization and Function of Central Mammalian Presynapses With Super-Resolution Microscopy.Frontiers in neuroscience · 2020Review
- Emerging Concepts and Functions of Autophagy as a Regulator of Synaptic Components and Plasticity.Cells · 2019Review
- Gephyrin: a key regulatory protein of inhibitory synapses and beyond.Histochemistry and cell biology · 2018Review
- Development of a Novel FIJI-Based Method to Investigate Neuronal Circuitry in Neonatal Mice.Developmental neurobiology · 2018Article
- Alpha subunit-dependent glycine receptor clustering and regulation of synaptic receptor numbers.Scientific reports · 2017Article
- The Biological Function of the Prion Protein: A Cell Surface Scaffold of Signaling Modules.Frontiers in molecular neuroscience · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to count molecules is essential to elucidating cellular mechanisms, as these often depend on the absolute numbers and concentrations of molecules within specific compartments. Such is the case at chemical synapses, where the transmission of information from presynaptic to postsynaptic terminals requires complex interactions between small sets of molecules. Be it the subunit stoichiometry specifying neurotransmitter receptor properties, the copy numbers of scaffold proteins setting the limit of receptor accumulation at synapses, or protein packing densities shaping the molecular organization and plasticity of the postsynaptic density, all of these depend on exact quantities of components. A variety of proteomic, electrophysiological, and quantitative imaging techniques have yielded insights into the molecular composition of synaptic complexes. In this review, we compare the different quantitative approaches and consider the potential of single molecule imaging techniques for the quantification of synaptic components. We also discuss specific neurobiological data to contextualize the obtained numbers and to explain how they aid our understanding of synaptic structure and function.
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Registered trials
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.