Evidence map›Paper›PMID 31556465›Full record

ReviewJournal of leukocyte biology2019

Decoding communication patterns of the innate immune system by quantitative proteomics.

Arjun Sukumaran, Jeremia M Coish, Jason Yeung, Benjamin Muselius, Mihaela Gadjeva, Adam J MacNeil, Jennifer Geddes-McAlister

Abstract readReview
In one paragraph

Review in Journal of leukocyte biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  4. Impact of Lysine Succinylation on the Biology of Fungi.Current issues in molecular biology · 2024
    Review
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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

7 authors.

Arjun SukumaranMolecular and Cellular Biology Department, University of Guelph, Guelph, Ontario, Canada.
Jeremia M CoishDepartment of Health Sciences, Brock University, St. Catharines, Ontario, Canada.ORCID 0000-0002-4749-8120
Jason YeungMolecular and Cellular Biology Department, University of Guelph, Guelph, Ontario, Canada.
Benjamin MuseliusMolecular and Cellular Biology Department, University of Guelph, Guelph, Ontario, Canada.
Mihaela GadjevaDivision of Infectious Diseases, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Adam J MacNeilDepartment of Health Sciences, Brock University, St. Catharines, Ontario, Canada.ORCID 0000-0002-4257-2096
Jennifer Geddes-McAlisterMolecular and Cellular Biology Department, University of Guelph, Guelph, Ontario, Canada.

Funding

Novel treatment strategies to regulate inflammation during P.aeruginosa keratitisR01EY022054 · NEI · BRIGHAM AND WOMEN'S HOSPITAL · PI GADJEVA, MIHAELA GUEORGUIEVA · 2012 to 2020
$4.0M
NEI NIH HHS R01 EY022054
6 · The paper itself

Abstract

The innate immune system is a collective network of cell types involved in cell recruitment and activation using a robust and refined communication system. Engagement of receptor-mediated intracellular signaling initiates communication cascades by conveying information about the host cell status to surrounding cells for surveillance and protection. Comprehensive profiling of innate immune cells is challenging due to low cell numbers, high dynamic range of the cellular proteome, low abundance of secreted proteins, and the release of degradative enzymes (e.g., proteases). However, recent advances in mass spectrometry-based proteomics provides the capability to overcome these limitations through profiling the dynamics of cellular processes, signaling cascades, post-translational modifications, and interaction networks. Moreover, integration of technologies and molecular datasets provide a holistic view of a complex and intricate network of communications underscoring host defense and tissue homeostasis mechanisms. In this Review, we explore the diverse applications of mass spectrometry-based proteomics in innate immunity to define communication patterns of the innate immune cells during health and disease. We also provide a technical overview of mass spectrometry-based proteomic workflows, with a focus on bottom-up approaches, and we present the emerging role of proteomics in immune-based drug discovery while providing a perspective on new applications in the future.

Indexed as

Immunity, InnateProteomeProteomicsSignal TransductionAnimalsCell CommunicationComputational BiologyDisease SusceptibilityDrug Delivery SystemsDrug DiscoveryHumansMass SpectrometryProteomeactivationcellular mappingdrug discoveryinnate immunityleukocytesmass spectrometry-based proteomicsphagocytic cellssignaling cascades

Identifiers

PMID31556465
PMCPMC7309189

What OpenQuestion holds

Textmetadata
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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.