Evidence map›Paper›PMID 29769037›Full record

ArticleBMC neuroscience2018

A method for estimating relative changes in the synaptic density in Drosophila central nervous system.

Dipti Rai, Swagata Dey, Krishanu Ray

Open access · goldAbstract read
In one paragraph

Article in BMC neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 45% of its field
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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Golgi-Dependent Copper Homeostasis Sustains Synaptic Development and Mitochondrial Content.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  5. Review
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

3 authors at 1 institution in 1 country.

Dipti RaiDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India.
Swagata DeyDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India.
Krishanu RayDepartment of Biological Sciences, Tata Institute of Fundamental Research, Mumbai, 400005, India. krishanu@tifr.res.in.ORCID 0000-0001-6406-3199
Tata Institute of Fundamental Research · IN

Funding

Department of Atomic Energy, Government of India Intramural
6 · The paper itself

Abstract

backgroundSynapse density is an essential indicator of development and functioning of the central nervous system. It is estimated indirectly through the accumulation of pre and postsynaptic proteins in tissue sections. 3D reconstruction of the electron microscopic images in serial sections is one of the most definitive means of estimating the formation of active synapses in the brain. It is tedious and highly skill-dependent. Confocal imaging of whole mounts or thick sections of the brain provides a natural alternative for rapid gross estimation of the synapse density in large areas. The optical resolution and other deep-tissue imaging aberrations limit the quantitative scope of this technique.

resultsHere we demonstrate a simple sample preparation method that could enhance the clarity of the confocal images of the neuropil regions of the ventral nerve cord of Drosophila larvae, providing a clear view of synapse distributions. We estimated the gross volume occupied by the synaptic junctions using 3D object counter plug-in of Fiji/ImageJ

conclusionsThe method provides a significant improvement in the relative estimate of region-specific synapse density in the central nervous system. Also, it reduced artifacts in the super-resolution images obtained using the stimulated emission depletion microscopy technique.

Indexed as

AnimalsBrainCentral Nervous SystemDrosophilaImaging, Three-DimensionalMicroscopy, ConfocalMicroscopy, ElectronNeuronsSynapsesDrosophilaFiji®Squash preparationSTEDSynaptic junctionsVentral nerve cord

Identifiers

PMID29769037
PMCPMC5956817
OpenAlexW2803876220

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.