Evidence map›Paper›PMID 31118205›Full record

ArticleeNeuro

Critical Analysis of Particle Detection Artifacts in Synaptosome Flow Cytometry.

Benjamin D Hobson, Peter A Sims

Open access · goldAbstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

14 citing papers in PubMed, 21 citations in OpenAlex.

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  8. Deletion of p75Frontiers in molecular neuroscience · 2023
    Article
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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 1 institution in 1 country.

Benjamin D HobsonDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032 bh2573@columbia.edu pas2182@columbia.edu.ORCID 0000-0002-2745-5318
Peter A SimsDepartment of Systems Biology, Columbia University Irving Medical Center, New York, NY 10032 bh2573@columbia.edu pas2182@columbia.edu.
Columbia University Irving Medical Center · US

Funding

Tumor Biology and Microenvironment ProgramP30CA013696 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI JOSEPH G JURCIC · 1985 to 2026
$115.3M
MEDICAL SCIENTIST TRAINING PROGRAMT32GM007367 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI REINER, STEVEN L · 1985 to 2021
$25.1M
Single Cell Analysis of the Infiltrative Margins of Glioblastoma and Post Treatment RecurrenceR01NS103473 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI JEFFREY N BRUCE, Peter Canoll · 2017 to 2026
$4.3M
BD Biosciences InfluxS10OD020056 · OD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SNOECK, HANS-WILLEM E · 2015 to 2015
$600k
Gene Expression Programs in Maturing Dopamine Neurons: Temporal Regulation, Subcellular Localization, and Alteration by AmphetamineF30DA047775 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOBSON, BENJAMIN · 2019 to 2023
$239k
NCI NIH HHS P30 CA013696NIDA NIH HHS F30 DA047775NIGMS NIH HHS T32 GM007367NINDS NIH HHS R01 NS103473
6 · The paper itself

Abstract

Flow cytometry and fluorescence-activated sorting are powerful techniques that hold great promise for studying heterogeneous populations of submicron particles such as synaptosomes, but many technical challenges arise in these experiments. To date, most flow cytometry studies of synaptosomes have relied on particle detection using forward scatter (FSC) measurements and size estimation with polystyrene (PS) bead standards. However, these practices have serious limitations, and special care must be taken to overcome the poor sensitivity of conventional flow cytometers in the analysis of submicron particles. Technical artifacts can confound these experiments, especially the detection of multiple particles as a single event. Here, we compared analysis of P2 crude synaptosomal preparations from murine forebrain on multiple flow cytometers using both FSC-triggered and fluorescence-triggered detection. We implemented multicolor fluorescent dye-based assays to quantify coincident particle detection and aggregation, and we assessed the false colocalization of antigens in immunostaining analyses. Our results demonstrate that fluorescence triggering and proper dilution can control for coincident particle detection, but not particle aggregation. We confirmed previous studies showing that FSC-based size estimation with PS beads underestimates biological particle size, and we identified pervasive aggregation in the FSC range analyzed in most synaptosome flow cytometry studies. We found that analyzing P2 samples in sucrose/EDTA/tris (SET) buffer reduces aggregation compared to PBS, but does not completely eliminate the presence of aggregates, especially in immunostaining experiments. Our study highlights challenges and pitfalls in synaptosome flow cytometry and provides a methodological framework for future studies.

Indexed as

AnimalsArtifactsFlow CytometryFluorescent DyesMaleMice, Inbred C57BLParticle SizePolystyrenesProsencephalonReference StandardsScattering, RadiationSynaptosomesFluorescent DyesPolystyrenesflow cytometrysynaptosomes

Identifiers

PMID31118205
PMCPMC6565374
OpenAlexW2945494438

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.