Evidence map›Paper›PMID 33177994›Full record

ArticleFrontiers in neural circuits2020

Activity-Dependent Remodeling of Synaptic Protein Organization Revealed by High Throughput Analysis of STED Nanoscopy Images.

Theresa Wiesner, Anthony Bilodeau, Renaud Bernatchez, Andréanne Deschênes, Bastian Raulier, Paul De Koninck, Flavie Lavoie-Cardinal

Abstract read
In one paragraph

Article in Frontiers in neural circuits, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  9. Non-canonical function of ADAM10 in presynaptic plasticity.Cellular and molecular life sciences : CMLS · 2024
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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

7 authors.

Theresa WiesnerCERVO Brain Research Centre, Québec, QC, Canada.
Anthony BilodeauCERVO Brain Research Centre, Québec, QC, Canada.
Renaud BernatchezCERVO Brain Research Centre, Québec, QC, Canada.
Andréanne DeschênesCERVO Brain Research Centre, Québec, QC, Canada.
Bastian RaulierCERVO Brain Research Centre, Québec, QC, Canada.
Paul De KoninckCERVO Brain Research Centre, Québec, QC, Canada.
Flavie Lavoie-CardinalCERVO Brain Research Centre, Québec, QC, Canada.

Funding

CIHR 378058
6 · The paper itself

Abstract

The organization of proteins in the apposed nanodomains of pre- and postsynaptic compartments is thought to play a pivotal role in synaptic strength and plasticity. As such, the alignment between pre- and postsynaptic proteins may regulate, for example, the rate of presynaptic release or the strength of postsynaptic signaling. However, the analysis of these structures has mainly been restricted to subsets of synapses, providing a limited view of the diversity of synaptic protein cluster remodeling during synaptic plasticity. To characterize changes in the organization of synaptic nanodomains during synaptic plasticity over a large population of synapses, we combined STimulated Emission Depletion (STED) nanoscopy with a Python-based statistical object distance analysis (pySODA), in dissociated cultured hippocampal circuits exposed to treatments driving different forms of synaptic plasticity. The nanoscale organization, characterized in terms of coupling properties, of presynaptic (Bassoon, RIM1/2) and postsynaptic (PSD95, Homer1c) scaffold proteins was differently altered in response to plasticity-inducing stimuli. For the Bassoon - PSD95 pair, treatments driving synaptic potentiation caused an increase in their coupling probability, whereas a stimulus driving synaptic depression had an opposite effect. To enrich the characterization of the synaptic cluster remodeling at the population level, we applied unsupervised machine learning approaches to include selected morphological features into a multidimensional analysis. This combined analysis revealed a large diversity of synaptic protein cluster subtypes exhibiting differential activity-dependent remodeling, yet with common features depending on the expected direction of plasticity. The expanded palette of synaptic features revealed by our unbiased approach should provide a basis to further explore the widely diverse molecular mechanisms of synaptic plasticity.

Indexed as

Neuronal PlasticityAnimalsDendritic SpinesHippocampusImage Processing, Computer-AssistedMicroscopyNeuronsPresynaptic TerminalsRatsSynapsesUnsupervised Machine Learningquantitative image analysissuper-resolution microscopysynapse organizationsynaptic plasticitysynaptic proteinsunsupervised machine learning

Identifiers

PMID33177994
PMCPMC7594516

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Registered trials

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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.