Evidence map›Paper›PMID 32552048›Full record

ReviewExpert review of proteomics2020

Approaching complexity: systems biology and ms-based techniques to address immune signaling.

Joseph Gillen, Caleb Bridgwater, Aleksandra Nita-Lazar

Abstract readReview
In one paragraph

Review in Expert review of proteomics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Joseph GillenFunctional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA.
Caleb BridgwaterFunctional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA.
Aleksandra Nita-LazarFunctional Cellular Networks Section, Laboratory of Immune System Biology, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH) , Bethesda, MD, USA.

Funding

Protein Modifications Involved in Cell SignalingZIAAI001084 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI NITA-LAZAR, ALEKSANDRA · 2009 to 2025
$11.4M
Intramural NIH HHS Z99 AI999999
6 · The paper itself

Abstract

introductionStudying immune signaling has been critical for our understanding of immunology, pathogenesis, cancer, and homeostasis. To enhance the breadth of the analysis, high throughput methods have been developed to survey multiple areas simultaneously, including transcriptomics, reporter assays, and ELISAs. While these techniques have been extremely informative, mass-spectrometry-based technologies have been gaining momentum and starting to be widely used in the studies of immune signaling and systems immunology. AREAS COVERED: We present established proteomic methods that have been used to address immune signaling and discuss the new mass-spectrometry- based techniques of interest to the expanding field of systems immunology. Established and new proteomic methods and their applications discussed here include post-translational modification analysis, protein quantification, secretome analysis, and interactomics. In addition, we present developments in small molecule and metabolite analysis, mass spectrometry imaging, and single cell analysis. Finally, we discuss the role of multi-omic integration in aiding leading edge investigation. EXPERT OPINION: In science, available techniques enhance the breadth and depth of the studies. By incorporating proteomic techniques and their innovative use, it will be possible to expand the current studies and to address novel questions at the forefront of scientific discovery.

Indexed as

Immune SystemProteomicsSystems BiologyComputational BiologyHumansMass SpectrometryMetabolomicsProteinsSignal TransductionSingle-Cell AnalysisProteinsextracellular signalingimmunologyinteractomicsmass spectrometry imagingmetabolitesmulti-omicspost-translational modificationsprotein quantificationProteomicssecretomesingle cell proteomics

Identifiers

PMID32552048
PMCPMC13491449

What OpenQuestion holds

Textmetadata
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.