Evidence map›Paper›PMID 25967947›Full record

ArticleJournal of immunological methods2015

An improved method for differentiating cell-bound from internalized particles by imaging flow cytometry.

Asya Smirnov, Michael D Solga, Joanne Lannigan, Alison K Criss

Abstract read
In one paragraph

Article in Journal of immunological methods, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.7field-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

24 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
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  5. Cytometry in High-Containment Laboratories.Methods in molecular biology (Clifton, N.J.) · 2024
    Review
  6. Article
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  11. Article
  12. Review
  13. Article
  14. Human Neutrophil Granule Exocytosis in Response toPathogens (Basel, Switzerland) · 2020
    Article
  15. Using Imaging Flow Cytometry to Quantify Neutrophil Phagocytosis.Methods in molecular biology (Clifton, N.J.) · 2020
    Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

Asya SmirnovDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Michael D SolgaDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
Joanne LanniganDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA. Electronic address: jl7fj@virginia.edu.
Alison K CrissDepartment of Microbiology, Immunology, and Cancer Biology, University of Virginia, Charlottesville, VA, USA.
University of Virginia · US

Funding

Survival of Neisseria gonorrhoeae after primary human neutrophil challengeR01AI097312 · NIAID · UNIVERSITY OF VIRGINIA · PI CRISS, ALISON K · 2012 to 2022
$4.6M
Survival of Neisseria gonorrhoeae after primary human neutrophil challengeR37AI097312 · NIAID · UNIVERSITY OF VIRGINIA · PI Alison K Criss · 2025 to 2026
$1.1M
ImageSteamXS10RR031633 · NCRR · UNIVERSITY OF VIRGINIA · PI BENDER, TIMOTHY P. · 2011 to 2011
$520k
NCRR NIH HHS NIH SIG 1S10RR031633-01NCRR NIH HHS S10 RR031633NIAID NIH HHS NIH R01 AI097312NIAID NIH HHS R01 AI097312NIAID NIH HHS R37 AI097312
6 · The paper itself

Abstract

Recognition, binding, internalization, and elimination of pathogens and cell debris are important functions of professional as well as non-professional phagocytes. However, high-throughput methods for quantifying cell-associated particles and discriminating bound from internalized particles have been lacking. Here we describe a protocol for using imaging flow cytometry to quantify the attached and phagocytosed particles that are associated with a population of cells. Cells were exposed to fluorescent particles, fixed, and exposed to an antibody of a different fluorophore that recognizes the particles. The antibody is added without cell permeabilization, such that the antibody only binds extracellular particles. Cells with and without associated particles were identified by imaging flow cytometry. For each cell with associated particles, a spot count algorithm was employed to quantify the number of extracellular (double fluorescent) and intracellular (single fluorescent) particles per cell, from which the percent particle internalization was determined. The spot count algorithm was empirically validated by examining the fluorescence and phase contrast images acquired by the flow cytometer. We used this protocol to measure binding and internalization of the bacterium Neisseria gonorrhoeae by primary human neutrophils, using different bacterial variants and under different cellular conditions. The results acquired using imaging flow cytometry agreed with findings that were previously obtained using conventional immunofluorescence microscopy. This protocol provides a rapid, powerful method for measuring the association and internalization of any particle by any cell type.

Indexed as

Biological TransportCell DifferentiationFlow CytometryFluorescenceFluorescent DyesHumansImage CytometryMicroscopy, FluorescenceNeutrophilsPhagocytesPhagocytosisFluorescent DyesAttachmentBacteriaImaging flow cytometryInternalizationPhagocytosis

Identifiers

PMID25967947
PMCPMC4522237
OpenAlexW324894807

What OpenQuestion holds

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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.