Evidence map›Paper›PMID 36087264›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Quantification of Neutrophils Undergoing NET Formation and Distinguishing Mechanisms of Neutrophil Cell Death by Use of a High-Throughput Method.

Shuichiro Nakabo, Mariana J Kaplan, Sarthak Gupta

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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. Article
  3. Article
  4. Article
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

3 authors.

Shuichiro NakaboSystemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD, USA.
Mariana J KaplanSystemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD, USA.
Sarthak GuptaSystemic Autoimmunity Branch, National Institute of Arthritis and Musculoskeletal and Skin Diseases (NIAMS), National Institutes of Health (NIH), Bethesda, MD, USA. sarthak.gupta@nih.gov.

Funding

Systemic AutoimmunityZIAAR041199 · NIAMS · NATIONAL INSTITUTE OF ARTHRITIS AND MUSCULOSKELETAL AND SKIN DISEASES · PI KAPLAN, MARIANA · 2014 to 2025
$32.5M
Intramural NIH HHS ZIA AR041199
6 · The paper itself

Abstract

Neutrophils, the most abundant white blood cell type in humans, play a crucial role in innate host defenses. Recent studies have revealed additional key roles in the pathogenesis of cancer and autoimmune diseases through multiple mechanisms including the formation of neutrophil extracellular traps (NETs). Further research to expand the understanding of neutrophils' role in health and diseases is limited by lack of techniques to quantify neutrophils undergoing NET formation in an objective, reproducible, and efficient manner. In this chapter, we describe an automated high-throughput method to quantify NETting neutrophils in real time using a two-color, live-content imaging platform, the IncuCyte™S3 (Essen BioScience, Inc.) system, coupled to membrane integrity-dependent dual-dye approach to image intracellular and extracellular DNA. Based on characteristic differences in nuclear morphology and membrane integrity, this method may also be used to distinguish between different types of neutrophil cell death. This platform can help to assess neutrophil physiology and to develop and test therapeutic targets.

Indexed as

Autoimmune DiseasesExtracellular TrapsCell DeathDNAHumansNeutrophilsDNACell deathHigh-throughputIncuCyteLive-cell imagingNeutrophilNeutrophil extracellular traps (NETs)

Identifiers

PMID36087264
PMCPMC11407227

What OpenQuestion holds

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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.