Evidence map›Paper›PMID 22285050›Full record

ArticleJournal of chromatography. A2012

Relative quantitation of protein nitration by liquid chromatography-mass spectrometry using isotope-coded dimethyl labeling and chemoprecipitation.

Jia Guo, Katalin Prokai-Tatrai, Laszlo Prokai

Abstract read
In one paragraph

Article in Journal of chromatography. A, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Stable isotope dimethyl labelling for quantitative proteomics and beyond.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2016
    Review
  2. Article
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  4. Article
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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

3 authors.

Jia GuoDepartment of Molecular Biology and Immunology, University of North Texas Health Science Center, 3500 Camp Bowie Boulevard, Fort Worth, TX 76107, USA.
Katalin Prokai-Tatrai
Laszlo Prokai

Funding

Survey of Age-Associated Carbonylation of Brain ProteinsR01AG025384 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI PROKAI, LASZLO · 2004 to 2008
$1.4M
NIA NIH HHS AG025384NIA NIH HHS R01 AG025384
6 · The paper itself

Abstract

Protein nitration has been recognized as an important biomarker for nitroxidative stress associated with various diseases. While identification of protein targets for nitration is important, its quantitative profiling also is necessary to understand the biological impact of this low-abundance posttranslational modification. We have previously reported an efficient and straightforward enrichment method for nitropeptides to reduce sample complexity and permit unambiguous site-specific identifications by LC-MS analyses. This approach relies on two chemical derivatization steps: specifically reductive methylation of aliphatic amines and, then, conversion of nitrotyrosines to the corresponding aminotyrosines before their selective capture by a solid-phase reagent we introduced previously. Hence, the method inherently offers the opportunity for relative quantitation of nitropeptides by using isotopic variants of formaldehyde for reductive methylation. This simple method was tested via LC-MS analyses of differently N-methylated nitropeptides and nitroubiquitin as a model nitroprotein enriched from human serum albumin digest and from human plasma, respectively.

Indexed as

Amino Acid SequenceCarbon IsotopesChemical PrecipitationChromatography, LiquidHumansMass SpectrometryMolecular Sequence DataNitro CompoundsPeptidesSerum AlbuminUbiquitinCarbon IsotopesNitro CompoundsPeptidesSerum AlbuminUbiquitin

Identifiers

PMID22285050
PMCPMC3482478

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.