Evidence map›Paper›PMID 29792886›Full record

ArticleJournal of neuroscience methods2018

t-GRASP, a targeted GRASP for assessing neuronal connectivity.

Harold K Shearin, Casey D Quinn, Robert D Mackin, Ian S Macdonald, R Steven Stowers

Abstract read
In one paragraph

Article in Journal of neuroscience methods, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Sequential formation ofScience advances · 2026
    Article
  4. Article
  5. Review
  6. Monitoring Synapses via Trans-synaptic GFP Complementation.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  7. Article
  8. Constitutive and Conditional Epitope Tagging of Endogenous G-Protein-Coupled Receptors inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Biased cell adhesion organizes a circuit for visual motion integration.bioRxiv : the preprint server for biology · 2023
    Article
  14. Article
  15. Mechanosensory and command contributions to thebioRxiv : the preprint server for biology · 2023
    Article
  16. Review
  17. Article
  18. eLife · 2023
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Harold K ShearinDepartment of Cell Biology and Neuroscience, Montana State University Bozeman, MT 59717, United States.
Casey D QuinnDepartment of Cell Biology and Neuroscience, Montana State University Bozeman, MT 59717, United States.
Robert D MackinDepartment of Cell Biology and Neuroscience, Montana State University Bozeman, MT 59717, United States.
Ian S MacdonaldDepartment of Cell Biology and Neuroscience, Montana State University Bozeman, MT 59717, United States.
R Steven StowersDepartment of Cell Biology and Neuroscience, Montana State University Bozeman, MT 59717, United States. Electronic address: sstowers@montana.edu.

Funding

DROSOPHILA GENOMICS RESOURCE CENTERP40OD010949 · OD · TRUSTEES OF INDIANA UNIVERSITY · PI Andrew Zelhof · 2012 to 2026
$9.4M
Adaptation of a synapse-specific version of GFP Reconstitution Across Synaptic PaR21NS082922 · NINDS · MONTANA STATE UNIVERSITY - BOZEMAN · PI STOWERS, STEVE · 2013 to 2014
$394k
NIH HHS P40 OD010949NINDS NIH HHS R21 NS082922
6 · The paper itself

Abstract

backgroundUnderstanding how behaviors are generated by neural circuits requires knowledge of the synaptic connections between the composite neurons. Methods for mapping synaptic connections, such as electron microscopy and paired recordings, are labor intensive and alternative methods are thus desirable. NEW

methodDevelopment of a targeted GFP Reconstitution Across Synaptic Partners(GRASP) method, t-GRASP, for assessing neural connectivity is described.

resultsNumerous different pre-synaptic and post-synaptic/dendritic proteins were tested for enhancing the specificity of GRASP signal to synaptic regions. Pairing of both targeted pre- and post-t-GRASP constructs resulted in strong preferential GRASP signal in synaptic regions in Drosophila larval sensory neurons, larval neuromuscular junctions, and adult photoreceptor neurons with minimal false-positive signal. COMPARISON WITH EXISTING

methodsActivity-independent t-GRASP exhibits an enhancement of GRASP signal specificity for synaptic contact sites as compared to existing Drosophila GRASP methods. Fly strains were developed for expression of both pre- and post-t-GRASP with each of the three Drosophila binary transcription systems, thus enabling GRASP assays to be performed between any two driver pairs of any transcription system in either direction, an option not available for existing Drosophila GRASP methods.

conclusionst-GRASP is a novel targeted GRASP method for assessing synaptic connectivity between Drosophila neurons. Its flexibility of use with all three Drosophila binary transcription systems significantly expands the potential use of GRASP in Drosophila.

Indexed as

SynapsesAnimalsAnimals, Genetically ModifiedDrosophilaGreen Fluorescent ProteinsMicroscopy, ConfocalNeurogliaPresynaptic TerminalsSensory Receptor CellsGreen Fluorescent ProteinsDrosophilaGreen fluorescent proteinLaminaPhotoreceptorSynapseVentral nerve cord

Identifiers

PMID29792886
PMCPMC6689385

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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.