Evidence map›Paper›PMID 31132351›Full record

ArticleJournal of immunological methods2019

A versatile high-throughput assay to characterize antibody-mediated neutrophil phagocytosis.

Christina B Karsten, Nickita Mehta, Sally A Shin, Thomas J Diefenbach, Matthew D Slein, Wiktor Karpinski, Edward B Irvine, Thomas Broge, Todd J Suscovich, Galit Alter

Open access · hybridAbstract read
In one paragraph

Article in Journal of immunological methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 120 papers.

0numbers the graph read from it
0cells of the map it votes in
120citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

120 citing papers in PubMed, 169 citations in OpenAlex.

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  12. Early Fc-effector antibody signatures impact COVID-19 disease trajectory.medRxiv : the preprint server for health sciences · 2026
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60 more citing papers are in PubMed but not listed here.

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

10 authors at 2 institutions in 1 country.

Christina B KarstenRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Nickita MehtaRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Sally A ShinRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Thomas J DiefenbachRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Matthew D SleinRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Wiktor KarpinskiRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Edward B IrvineRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA; Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, MA 02115, USA.
Thomas BrogeRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Todd J SuscovichRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA.
Galit AlterRagon Institute of MGH, MIT and Harvard, 400 Technology Square, Cambridge, MA 02139, USA. Electronic address: galter@mgh.harvard.edu.
Ragon Institute of MGH, MIT and Harvard · USHarvard University · US

Funding

The impact of HIV viral diversity and cellular immunity on HIV pathogenesisP30AI060354 · NIAID · HARVARD UNIVERSITY (MEDICAL SCHOOL) · PI RAJESH T GANDHI · 2004 to 2026
$94.4M
Demystifying the antiviral activity of the IgG3+ antibody responseR37AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTER, GALIT · 2015 to 2022
$5.8M
Demystifying the antiviral activity of the IgG3+ antibody responseR01AI080289 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI JUELG, BORIS DOMINIK · 2009 to 2024
$4.1M
Optimization of Broadly Neutralizing Antibodies for HIV EradicationR01AI129797 · NIAID · BETH ISRAEL DEACONESS MEDICAL CENTER · PI BAROUCH, DAN H. · 2017 to 2021
$3.6M
Tuning Fc-effector functions of HIV-specific antibodiesR01AI102660 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ALTER, GALIT · 2012 to 2015
$3.0M
NIAID NIH HHS P30 AI060354NIAID NIH HHS R01 AI080289NIAID NIH HHS R01 AI102660NIAID NIH HHS R01 AI129797NIAID NIH HHS R37 AI080289
6 · The paper itself

Abstract

Neutrophils, the most abundant white blood cell, play a critical role in anti-pathogen immunity via phagocytic clearance, secretion of enzymes and immunomodulators, and the release of extracellular traps. Neutrophils non-specifically sense infection through an array of innate immune receptors and inflammatory sensors, but are also able to respond in a pathogen/antigen-specific manner when leveraged by antibodies via Fc-receptors. Among neutrophil functions, antibody-dependent neutrophil phagocytosis (ADNP) results in antibody-mediated opsonization, enabling neutrophils to sense and respond to infection in a pathogen-appropriate manner. Here, we describe a high-throughput flow cytometric approach to effectively visualize and quantify ADNP and its downstream consequences. The assay is easily adaptable, supporting both the use of purified neutrophils or white blood cells, the use of purified Ig or serum, and the broad utility of any target antigen. Thus, this ADNP assay represents a high-throughput platform for the in-depth characterization of neutrophil function.

Indexed as

AntibodiesAntigen-Antibody ComplexAntigensExtracellular TrapsFlow CytometryHigh-Throughput Screening AssaysHumansNeutrophilsPhagocytesPhagocytosisReproducibility of ResultsAntibodiesAntigen-Antibody ComplexAntigensAntibody-dependent neutrophil phagocytosisHigh-throughput assayImmune correlates of protectionNon-neutralizing antibodySystems serology

Identifiers

PMID31132351
PMCPMC6620195
OpenAlexW2946773123

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.