ReviewFrontiers in immunology2019
Computational Methodologies for the
Review in Frontiers in immunology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed.
- Protocol to investigate the role of NETosis in health and disease via a high-throughput neutrophil-like model using quantitative imaging.STAR protocols · 2026Article
- Neutrophil extracellular traps in colorectal cancer: context-dependent roles from inflammatory carcinogenesis to liver metastasis and therapeutic targeting.Journal of translational medicine · 2026Review
- Simplified flow cytometric quantification of human neutrophil extracellular traps (NETs).Journal of inflammation (London, England) · 2026Article
- Increased neutrophil extracellular traps formation in the bronchoalveolar lavage fluid of dogs with bronchiectasis.Frontiers in veterinary science · 2026Article
- Quantification of H3.1-nucleosomes using a chemiluminescent immunoassay: A reliable method for neutrophil extracellular trap detection.PloS one · 2025Article
- NETQUANT2: automated web-based quantification of neutrophil extracellular traps from fluorescence microscopy.Frontiers in immunology · 2024Article
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- Article
- Trapalyzer: a computer program for quantitative analyses in fluorescent live-imaging studies of neutrophil extracellular trap formation.Frontiers in immunology · 2023Article
- Microfluidic capture of chromatin fibres measures neutrophil extracellular traps (NETs) released in a drop of human blood.Lab on a chip · 2022Article
- Article
- Neutrophil extracellular traps and complications of liver transplantation.Frontiers in immunology · 2022Review
- Macrophage Extracellular Traps: Current Opinions and the State of Research regarding Various Diseases.Journal of immunology research · 2022Review
- CanineBiology · 2021Article
- Visualization and Quantification of Neutrophil Extracellular Traps.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Stromal Neutrophil Extracellular Trap Density Is an Independent Prognostic Factor for Cervical Cancer Recurrence.Frontiers in oncology · 2021Article
- Neutrophils exhibit an individual response to different oral bacterial biofilms.Journal of oral microbiology · 2020Article
- The effects of the dental methacrylates TEGDMA, Bis-GMA, and UDMA on neutrophils in vitro.Clinical and experimental dental research · 2020Article
- NETosis in cancer: a critical analysis of the impact of cancer on neutrophil extracellular trap (NET) release in lung cancer patients vs. mice.Cancer immunology, immunotherapy : CII · 2020Article
- Flow Cytometry-Based Quantification of Neutrophil Extracellular Traps Shows an Association with Hypercoagulation in Septic Shock and Hypocoagulation in Postsurgical Systemic Inflammation-A Proof-of-Concept Study.Journal of clinical medicine · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neutrophil extracellular traps (NETs) are a neutrophil defensive mechanism where chromatin is expelled together with antimicrobial proteins in response to a number of stimuli. Even though beneficial in many cases, their dysfunction has been implicated in many diseases, such as rheumatoid arthritis and cancer. Accurate quantification of NETs is of utmost importance for correctly studying their role in various diseases, especially when considering them as therapeutic targets. Unfortunately, NET quantification has a number of limitations. However, recent developments in computational methodologies for quantifying NETs have vastly improved the ability to study NETs. Methods range from using ImageJ to user friendly applications and to more sophisticated machine-learning approaches. These various methods are reviewed and discussed in this review.
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What OpenQuestion holds
Registered trials
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.