ArticlePLoS computational biology2013
Automated analysis of a diverse synapse population.
Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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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.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Alzheimer's disease as a synaptopathy: Evidence for dysfunction of synapses during disease progression.Frontiers in synaptic neuroscience · 2023Review
- Extensive Structural Remodeling of the Axonal Arbors of Parvalbumin Basket Cells during Development in Mouse Neocortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021Article
- Conduction Velocity Along the Local Axons of Parvalbumin Interneurons Correlates With the Degree of Axonal Myelination.Cerebral cortex (New York, N.Y. : 1991) · 2021Article
- Multifaceted Changes in Synaptic Composition and Astrocytic Involvement in a Mouse Model of Fragile X Syndrome.Scientific reports · 2019Article
- Q&A: Array tomography.BMC biology · 2018Article
- A Computational Synaptic Antibody Characterization Tool for Array Tomography.Frontiers in neuroanatomy · 2018Article
- Pitfalls of using confocal-microscopy based automated quantification of synaptic complexes in honeybee mushroom bodies (response to Peng and Yang 2016).Scientific reports · 2017Article
- Mapping the connectivity of serotonin transporter immunoreactive axons to excitatory and inhibitory neurochemical synapses in the mouse limbic brain.Brain structure & function · 2017Article
- Probabilistic fluorescence-based synapse detection.PLoS computational biology · 2017Article
- Resin embedded multicycle imaging (REMI): a tool to evaluate protein domains.Scientific reports · 2016Article
- Proteomics of the Synapse--A Quantitative Approach to Neuronal Plasticity.Molecular & cellular proteomics : MCP · 2016Review
- Sublethal Dosage of Imidacloprid Reduces the Microglomerular Density of Honey Bee Mushroom Bodies.Scientific reports · 2016Article
- Comments and General Discussion on "The Anatomical Problem Posed by Brain Complexity and Size: A Potential Solution".Frontiers in neuroanatomy · 2016Article
- Unbiased, High-Throughput Electron Microscopy Analysis of Experience-Dependent Synaptic Changes in the Neocortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Functional Connectome Analysis of Dopamine Neuron Glutamatergic Connections in Forebrain Regions.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Mapping synapses by conjugate light-electron array tomography.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2015Article
- Synaptic molecular imaging in spared and deprived columns of mouse barrel cortex with array tomography.Scientific data · 2014Article
- Automated detection of synapses in serial section transmission electron microscopy image stacks.PloS one · 2014Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Synapses of the mammalian central nervous system are highly diverse in function and molecular composition. Synapse diversity per se may be critical to brain function, since memory and homeostatic mechanisms are thought to be rooted primarily in activity-dependent plastic changes in specific subsets of individual synapses. Unfortunately, the measurement of synapse diversity has been restricted by the limitations of methods capable of measuring synapse properties at the level of individual synapses. Array tomography is a new high-resolution, high-throughput proteomic imaging method that has the potential to advance the measurement of unit-level synapse diversity across large and diverse synapse populations. Here we present an automated feature extraction and classification algorithm designed to quantify synapses from high-dimensional array tomographic data too voluminous for manual analysis. We demonstrate the use of this method to quantify laminar distributions of synapses in mouse somatosensory cortex and validate the classification process by detecting the presence of known but uncommon proteomic profiles. Such classification and quantification will be highly useful in identifying specific subpopulations of synapses exhibiting plasticity in response to perturbations from the environment or the sensory periphery.
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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.