Evidence map›Paper›PMID 31216391›Full record

ArticleCurrent protocols in neuroscience2019

Ultrastructural Detection of Neuronal Markers, Receptors, and Vesicular Transporters.

Shiliang Zhang, Marisela Morales

Abstract read
In one paragraph

Article in Current protocols in neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

2 authors.

Shiliang ZhangNational Institute on Drug Abuse, Intramural Research Program, Confocal and Electron Microscopy Core, Baltimore, Maryland.
Marisela MoralesNational Institute on Drug Abuse, Intramural Research Program, Neuronal Networks Section, Baltimore, Maryland.

Funding

Neuronal characterization of the ventral tegmental areaZIADA000543 · NIDA · NATIONAL INSTITUTE ON DRUG ABUSE · PI MORALES, MARISELA · 2009 to 2020
$11.8M
Intramural NIH HHS ZIA DA000543
6 · The paper itself

Abstract

At the ultrastructural level, axon terminals containing synaptic vesicles are clearly observed. These axon terminals (presynaptic component of a synapse) may be seen establishing contacts (synapses) with cell bodies, axons, or dendrites (postsynaptic component of a synapse). By a combination of ultrastructural analysis and immunodetection of molecules, it is possible to determine the subcellular distribution of specific cellular markers (i.e., enzymes), neurotransmitters (within synaptic vesicles), vesicular transporters (in association with vesicles), and receptors (within the presynaptic or postsynaptic component of a synapse). Here we will provide detailed protocols that facilitate the ultrastructural detection of cellular markers, receptors, and vesicular transporters. These protocols include brain ultrastructural immunodetection of one, two, or three different types of molecules prior to brain tissue processing for ultrastructural analysis (pre-embedding immunolabeling), brain molecular immunodetection after tissue processing for ultrastructural analysis (post-embedding immunolabeling), or molecular immunodetection in purified synaptic vesicles. Published 2019. This article is a US Government work and is in the public domain in the USA.

Indexed as

Brain ChemistryAnimalsBrainMaleMiceMice, TransgenicNeuronsRatsRats, Sprague-DawleyReceptors, Cytoplasmic and NuclearStaining and LabelingVesicular Transport ProteinsReceptors, Cytoplasmic and NuclearVesicular Transport Proteinsneurotransmitterreceptorsynapsesynaptic vesiclesultrastructurevesicular transporter

Identifiers

PMID31216391
PMCPMC6585453

What OpenQuestion holds

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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.