Evidence map›Paper›PMID 35237993›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Redox Proteomics Analysis of Atherosclerotic Aortas: Application of the "OxICAT" Method.

Manousos Makridakis, Antonia Vlahou

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
1.9field-weighted citation impact, top 19% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Manousos MakridakisCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece. mmakrid@bioacademy.gr.
Antonia VlahouCenter of Systems Biology, Biomedical Research Foundation, Academy of Athens (BRFAA), Athens, Greece.
Biomedical Research Foundation of the Academy of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atherosclerosis development and progression have been linked to vascular reactive oxygen species (ROS). Plaque formation and especially instability, frequently resulting in acute coronary syndromes, have been linked to cell apoptosis and senescence, but also mainly to increased cellular oxidative stress. ROS are characterized by their high chemical reactivity and a resulting short half-life. This high reactivity usually involves reversible and/or irreversible protein modifications and specifically the covalent oxidative modification of cysteine residues. The latter can be used for the identification of protein-chemical footprints, leading to indirect monitoring of ROS. Proteomics and especially liquid chromatography tandem mass spectrometry (LC-MS/MS) approaches have emerged as a powerful tool to identify such protein modifications in biological samples (e.g., body fluids, tissues, cells). Application of a well-established quantitative thiol trapping technique termed OxICAT enables the detection and quantification of oxidative thiol modifications of thousands of proteins in a single experiment. In this chapter, a step-by-step guide for the redox proteomics analysis of atherosclerotic aortas, by utilizing the OxICAT method, as optimized by our group is provided.

Indexed as

AtherosclerosisProteomicsAortaChromatography, LiquidCysteineHumansOxidation-ReductionReactive Oxygen SpeciesTandem Mass SpectrometryCysteineReactive Oxygen SpeciesCysteine oxidationOxICATOxidative modificationsReactive oxygen speciesRedox proteomics

Identifiers

PMID35237993
OpenAlexW4214935108

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.