Evidence map›Paper›PMID 25909343›Full record

ReviewRedox biology2015

Standardization and quality control in quantifying non-enzymatic oxidative protein modifications in relation to ageing and disease: Why is it important and why is it hard?

Olgica Nedić, Adelina Rogowska-Wrzesinska, Suresh I S Rattan

Abstract readReview
In one paragraph

Review in Redox biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Posttranslational Modifications ofPharmacological reviews · 2024
    Review
  2. Review
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.

Olgica NedićInstitute for the Application of Nuclear Energy, University of Belgrade, Belgrade, Serbia. Electronic address: olgica@inep.co.rs.
Adelina Rogowska-WrzesinskaDepartment of Biochemistry and Molecular Biology, Southern Denmark University, Odense, Denmark. Electronic address: adelinar@bmb.sdu.dk.
Suresh I S RattanDepartment of Molecular Biology and Genetics, Aarhus University, Aarhus, Denmark. Electronic address: rattan@mbg.au.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational modifications (PTM) of proteins determine the activity, stability, specificity, transportability and lifespan of a protein. Some PTM are highly specific and regulated involving various enzymatic pathways, but there are other non-enzymatic PTM (nePTM), which occur stochastically, depend on the ternary structure of proteins and can be damaging. It is often observed that inactive and abnormal proteins accumulate in old cells and tissues. The nature, site and extent of nePTM give rise to a population of that specific protein with alterations in structure and function ranging from being fully active to totally inactive molecules. Determination of the type and the amount (abundance) of nePTM is essential for establishing connection between specific protein structure and specific biological role. This article summarizes analytical demands for reliable quantification of nePTM, including requirements for the assay performance, standardization and quality control, and points to the difficulties, uncertainties and un-resolved issues.

Indexed as

AgingChromatography, High Pressure LiquidHumansMass SpectrometryNuclear Magnetic Resonance, BiomolecularOxidation-ReductionPeptidesProtein Processing, Post-TranslationalProteinsQuality ControlSpectrum Analysis, RamanPeptidesProteinsAgeingHealthProtein damageProtein modificationQuality controlQuantificationStandardization

Identifiers

PMID25909343
PMCPMC4412909

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.