Evidence map›Paper›PMID 33338543›Full record

ArticleJournal of neuroscience methods2021

A method for quantification of vesicular compartments within cells using 3D reconstructed confocal z-stacks: Comparison of ImageJ and Imaris to count early endosomes within basal forebrain cholinergic neurons.

Megan K Gautier, Stephen D Ginsberg

Open access · greenAbstract read
In one paragraph

Article in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

22 citing papers in PubMed, 45 citations in OpenAlex.

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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

2 authors at 2 institutions in 1 country.

Megan K GautierCenter for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA; Program of Pathobiology and Translational Medicine, Vilcek Institute of Graduate Biomedical Sciences, NYU Grossman School of Medicine, New York, NY, USA; NYU Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA.
Stephen D GinsbergCenter for Dementia Research, Nathan Kline Institute, Orangeburg, NY, USA; Department of Psychiatry, NYU Grossman School of Medicine, New York, NY, USA; Department of Neuroscience & Physiology, NYU Grossman School of Medicine, New York, NY, USA; NYU Neuroscience Institute, NYU Grossman School of Medicine, New York, NY, USA. Electronic address: ginsberg@nki.rfmh.org.
Nathan Kline Institute for Psychiatric Research · USNew York University · US

Funding

Uncovering Alzheimer's disease risk mechanisms through neuron-specific analysis of autophagy and endosomal-lysosomal functionP01AG017617 · NIA · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI NIXON, RALPH A. · 2000 to 2021
$40.0M
TAU, AB, SYNUCLEIN AND NITRATIVE/OXIDATIVE DAMAGE IN MCIP01AG014449 · NIA · UNIVERSITY OF PITTSBURGH · PI COUNTS, SCOTT E · 1997 to 2024
$39.7M
Neuropathology and inflammation in a nonhuman primate model of insulin resistance/metabolic syndromeR01AG085572 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI STEPHEN D GINSBERG, PETER J HAVEL · 2024 to 2026
$3.8M
Cellular and Molecular Medial Temporal Lobe Pathology in Elderly PreMCI subjectsR01AG043375 · NIA · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI GINSBERG, STEPHEN D, MUFSON, ELLIOTT JAY · 2013 to 2017
$3.6M
Tau pathology in Down syndrome and Alzheimer'sRF1AG061566 · NIA · UNIVERSITY OF DENVER (COLORADO SEMINARY) · PI GRANHOLM-BENTLEY, ANN-CHARLOTTE ESTHER, MARGITTAI, MARTIN · 2019 to 2019
$3.4M
NIA NIH HHS P01 AG014449NIA NIH HHS P01 AG017617NIA NIH HHS R01 AG043375NIA NIH HHS R01 AG085572NIA NIH HHS RF1 AG061566
6 · The paper itself

Abstract

backgroundPhenotypic changes in vesicular compartments are an early pathological hallmark of many peripheral and central diseases. For example, accurate assessment of early endosome pathology is crucial to the study of Down syndrome (DS) and Alzheimer's disease (AD), as well as other neurological disorders with endosomal-lysosomal pathology. NEW

methodWe describe a method for quantification of immunolabeled early endosomes within transmitter-identified basal forebrain cholinergic neurons (BFCNs) using 3-dimensional (3D) reconstructed confocal z-stacks employing Imaris software.

resultsQuantification of 3D reconstructed z-stacks was performed using two different image analysis programs: ImageJ and Imaris. We found ImageJ consistently overcounted the number of early endosomes present within individual BFCNs. Difficulty separating densely packed early endosomes within defined BFCNs was observed in ImageJ compared to Imaris. COMPARISON WITH EXISTING

methodsPrevious methods quantifying endosomal-lysosomal pathology relied on confocal microscopy images taken in a single plane of focus. Since early endosomes are distributed throughout the soma and neuronal processes of BFCNs, critical insight into the abnormal early endosome phenotype may be lost as a result of analyzing only a single image of the perikaryon. Rather than relying on a representative sampling, this protocol enables precise, direct quantification of all immunolabeled vesicles within a defined cell of interest.

conclusionsImaris is an ideal program for accurately counting punctate vesicles in the context of dual label confocal microscopy. Superior image resolution and detailed algorithms offered by Imaris make precise and rigorous quantification of individual early endosomes dispersed throughout a BFCN in 3D space readily achievable.

Indexed as

Alzheimer DiseaseBasal ForebrainCholinergic NeuronsEndosomesHumansMicroscopy, Confocal3D reconstructionAlzheimer’s diseaseBasal forebrain cholinergic neuronDown syndromeEarly endosomeImageJImaris

Identifiers

PMID33338543
PMCPMC8026492
OpenAlexW3112288836

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.