Evidence map›Paper›PMID 36349223›Full record

ArticleRSC chemical biology2022

Quantitative profiling of PTM stoichiometry by resolvable mass tags.

Ying Chen, Baiyi Quan, Yuanpei Li, Yuan Liu, Wei Qin, Chu Wang

Open access · goldAbstract read
In one paragraph

Article in RSC chemical biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

6 authors at 1 institution in 1 country.

Ying ChenCollege of Chemistry and Molecular Engineering, Peking University Beijing China chuwang@pku.edu.cn.
Baiyi QuanCollege of Chemistry and Molecular Engineering, Peking University Beijing China chuwang@pku.edu.cn.
Yuanpei LiCollege of Chemistry and Molecular Engineering, Peking University Beijing China chuwang@pku.edu.cn.
Yuan LiuCollege of Chemistry and Molecular Engineering, Peking University Beijing China chuwang@pku.edu.cn.
Wei QinPeking-Tsinghua Center for Life Science, Peking University Beijing China.
Chu WangCollege of Chemistry and Molecular Engineering, Peking University Beijing China chuwang@pku.edu.cn.ORCID https://orcid.org/0000-0002-6925-1268
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-translational modifications (PTMs) play important roles in modulating the biological functions of proteins. Stoichiometry, which quantifies the modification percentage, is a critical factor for any given PTM. In this work, we developed a chemoproteomic strategy called "STO-MS" to systematically quantify the PTM stoichiometry in complex biological samples. This strategy employs a resolvable mass tag to differentiate proteoforms with different numbers of modifications and utilizes liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) techniques to measure PTM stoichiometry at the proteomic level. As a proof-of-concept, we successfully determined the stoichiometry of 197 proteins modified by 4-hydroxynonenal (HNE), a well-characterized lipid-derived electrophile and biomarker for oxidative stress. Our work expands the toolbox for quantification of PTM stoichiometry and sheds light on understanding the biological significance of PTMs in oxidative stress.

Identifiers

PMID36349223
PMCPMC9627732
OpenAlexW4308683542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.