Evidence map›Paper›PMID 30972724›Full record

ArticleJournal of the American Society for Mass Spectrometry2019

Selenoproteome Identification in Inflamed Murine Primary Bone Marrow-Derived Macrophages by Nano-LC Orbitrap Fusion Tribrid Mass Spectrometry.

Arvind M Korwar, Ashley E Shay, Venkatesha Basrur, Kevin Conlon, K Sandeep Prabhu

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 29% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Arvind M KorwarDepartment of Veterinary and Biomedical Sciences and The Penn State Cancer Institute, The Pennsylvania State University, 115 Henning Building, University Park, PA, 16802, USA.
Ashley E ShayDepartment of Veterinary and Biomedical Sciences and The Penn State Cancer Institute, The Pennsylvania State University, 115 Henning Building, University Park, PA, 16802, USA.
Venkatesha BasrurDepartment of Pathology, Proteomics Research Core Facility, Medical School, University of Michigan, Ann Arbor, MI, USA.
Kevin ConlonDepartment of Pathology, Proteomics Research Core Facility, Medical School, University of Michigan, Ann Arbor, MI, USA.
K Sandeep PrabhuDepartment of Veterinary and Biomedical Sciences and The Penn State Cancer Institute, The Pennsylvania State University, 115 Henning Building, University Park, PA, 16802, USA. ksp4@psu.edu.
Pennsylvania State University · USUniversity of Michigan–Ann Arbor · US

Funding

Cellular Selenium Status and PGJ2 Metabolism (PA-17-078 supplement 2017)R01DK077152 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI PRABHU, KUMBLE SANDEEP · 2008 to 2018
$2.5M
National Institute of Diabetes and Digestive and Kidney Diseases DK077152NIDDK NIH HHS R01 DK077152USDA-NIFA Hatch Fund 4605; Accession # 1010021
6 · The paper itself

Abstract

Selenium (Se) functions as a cellular redox gatekeeper through its incorporation into proteins as the 21st amino acid, selenocysteine (Sec). Supplementation of macrophages with exogenous Se (as sodium selenite) downregulates inflammation and intracellular oxidative stress by effectively restoring redox homeostasis upon challenge with bacterial endotoxin lipopolysaccharide (LPS). Here, we examined the use of a standard Tandem Mass Tag (TMT)-labeling mass spectrometry-based proteomic workflow to quantitate and examine temporal regulation of selenoproteins in such inflamed cells. Se-deficient murine primary bone marrow-derived macrophages (BMDMs) exposed to LPS in the presence or absence of selenite treatment for various time periods (0-20 h) were used to analyze the selenoproteome expression using isobaric labeling and shotgun proteomic workflow. To overcome the challenge of identification of Sec peptides, we used the identification of non-Sec containing peptides downstream of Sec as a reliable evidence of ribosome readthrough indicating efficient decoding of Sec codon. Results indicated a temporal regulation of the selenoproteome with a general increase in their expression in inflamed cells in a Se-dependent manner. Selenow, Gpx1, Msrb1, and Selenom were highly upregulated upon stimulation with LPS when compared to other selenoproteins. Interestingly, Selenow appeared to be one amongst the highly regulated selenoproteins in macrophages that was previously thought to be mainly restricted to myocytes. Collectively, TMT-labeling method of non-Sec peptides offers a reliable method to quantitate and study temporal regulation of selenoproteins; however, further optimization to include Sec-peptides could make this strategy more robust and sensitive compared to other semi-quantitative or qualitative methods. Graphical Abstract.

Indexed as

Amino Acid SequenceAnimalsInflammationLipopolysaccharidesMacrophagesMaleMice, Inbred C57BLProteomicsSelenoproteinsTandem Mass SpectrometryLipopolysaccharidesSelenoproteinsInflammationLipopolysaccharideProteomicsRedoxResolution

Identifiers

PMID30972724
PMCPMC6592718
OpenAlexW2939652335

What OpenQuestion holds

Textmetadata
LicenceTDM
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.