Evidence map›Paper›PMID 34177463›Full record

ReviewFrontiers in molecular neuroscience2021

Proteomic Approaches to Study Cysteine Oxidation: Applications in Neurodegenerative Diseases.

Trong Khoa Pham, Weronika A Buczek, Richard J Mead, Pamela J Shaw, Mark O Collins

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in molecular neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.3field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 23 citations in OpenAlex.

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  9. Fundamentals of redox regulation in biology.Nature reviews. Molecular cell biology · 2024
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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

5 authors at 1 institution in 1 country.

Trong Khoa PhamSheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
Weronika A BuczekDepartment of Biomedical Science, University of Sheffield, Sheffield, United Kingdom.
Richard J MeadSheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
Pamela J ShawSheffield Institute for Translational Neuroscience (SITraN), University of Sheffield, Sheffield, United Kingdom.
Mark O CollinsDepartment of Biomedical Science, University of Sheffield, Sheffield, United Kingdom.
University of Sheffield · GB

Funding

Medical Research Council MR/S004920/1Motor Neurone Disease Association TURNER/OCT15/972-797
6 · The paper itself

Abstract

Oxidative stress appears to be a key feature of many neurodegenerative diseases either as a cause or consequence of disease. A range of molecules are subject to oxidation, but in particular, proteins are an important target and measure of oxidative stress. Proteins are subject to a range of oxidative modifications at reactive cysteine residues, and depending on the level of oxidative stress, these modifications may be reversible or irreversible. A range of experimental approaches has been developed to characterize cysteine oxidation of proteins. In particular, mass spectrometry-based proteomic methods have emerged as a powerful means to identify and quantify cysteine oxidation sites on a proteome scale; however, their application to study neurodegenerative diseases is limited to date. Here we provide a guide to these approaches and highlight the under-exploited utility of these methods to measure oxidative stress in neurodegenerative diseases for biomarker discovery, target engagement and to understand disease mechanisms.

Indexed as

Alzheimer’s diseaseamyotrophic lateral sclerosis (ALS)neurodegenerative diseaseoxidationoxidative stressproteomics

Identifiers

PMID34177463
PMCPMC8219902
OpenAlexW3170706678

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.