Evidence map›Paper›PMID 37945352›Full record

ArticleeNeuro2023

Developing a Toolbox of Antibodies Validated for Array Tomography-Based Imaging of Brain Synapses.

Kristina D Micheva, Belvin Gong, Forrest Collman, Richard J Weinberg, Stephen J Smith, James S Trimmer, Karl D Murray

Open access · goldAbstract read
In one paragraph

Article in eNeuro, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Understanding the molecular diversity of synapses.Nature reviews. Neuroscience · 2025
    Review
  4. Article
  5. Article
  6. Review
  7. Array tomography: trails to discovery.Methods in microscopy · 2024
    Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 5 institutions in 1 country.

Kristina D MichevaDepartment of Cellular and Molecular Physiology, Stanford School of Medicine, Stanford, 94305, CA.
Belvin GongDepartment of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, 95618, CA.
Forrest CollmanAllen Institute for Brain Science, Seattle, 98109, WA.
Richard J WeinbergDepartment of Cell Biology and Physiology, University of North Carolina, Chapel Hill, 27514, NC.
Stephen J SmithAllen Institute for Brain Science, Seattle, 98109, WA.ORCID 0000-0002-2290-8701
James S TrimmerDepartment of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, 95618, CA.ORCID 0000-0002-6117-3912
Karl D MurrayDepartment of Physiology and Membrane Biology, University of California Davis School of Medicine, Davis, 95618, CA kdmurray@ucdavis.edu.
Allen Institute for Brain Science · USUniversity of California, Davis · USStanford Medicine · USUniversity of California System · USUniversity of North Carolina at Chapel Hill · US

Funding

Recombinant Immunolabels for Nanoprecise Brain Mapping Across ScalesU24NS109113 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI KARL Daniel MURRAY · 2018 to 2026
$9.9M
Synaptomes of Mouse and ManR01NS092474 · NINDS · ALLEN INSTITUTE · PI BURNS, RANDAL, SMITH, STEPHEN J · 2014 to 2018
$8.7M
The Supramolecular Architecture of the Postsynaptic DensityR01NS039444 · NINDS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WEINBERG, RICHARD J · 2000 to 2021
$6.1M
NINDS NIH HHS R01 NS039444NINDS NIH HHS R01 NS092474NINDS NIH HHS U24 NS109113
6 · The paper itself

Abstract

Antibody (Ab)-based imaging techniques rely on reagents whose performance may be application specific. Because commercial antibodies are validated for only a few purposes, users interested in other applications may have to perform extensive in-house antibody testing. Here, we present a novel application-specific proxy screening step to efficiently identify candidate antibodies for array tomography (AT), a serial section volume microscopy technique for high-dimensional quantitative analysis of the cellular proteome. To identify antibodies suitable for AT-based analysis of synapses in mammalian brain, we introduce a heterologous cell-based assay that simulates characteristic features of AT, such as chemical fixation and resin embedding that are likely to influence antibody binding. The assay was included into an initial screening strategy to generate monoclonal antibodies that can be used for AT. This approach simplifies the screening of candidate antibodies and has high predictive value for identifying antibodies suitable for AT analyses. In addition, we have created a comprehensive database of AT-validated antibodies with a neuroscience focus and show that these antibodies have a high likelihood of success for postembedding applications in general, including immunogold electron microscopy. The generation of a large and growing toolbox of AT-compatible antibodies will further enhance the value of this imaging technique.

Indexed as

Antibodies, MonoclonalTomographyAnimalsBrainImmunohistochemistryMammalsSynapsesAntibodies, Monoclonalconnectivityelectron microscopynanoscaleproteomesynaptomeultrastructure

Identifiers

PMID37945352
PMCPMC10748464
OpenAlexW4388521083

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.