Evidence map›Paper›PMID 36879659›Full record

ArticleNational science review2023

High-throughput site-specific

Zhenyu Sun, Bin Fu, Guoli Wang, Lei Zhang, Ruofan Xu, Ying Zhang, Haojie Lu

Open access · goldAbstract read
In one paragraph

Article in National science review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 39 citations in OpenAlex.

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  13. [Proteomic-driven precision medicine research in hepatocellular carcinoma].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2022
    Review
  14. 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

7 authors at 3 institutions in 2 countries.

Zhenyu SunShanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Bin FuDepartment of Chemistry and NHC Key Laboratory of Glycoconjugates Research, Fudan University, Shanghai 200032, China.
Guoli WangShanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Lei ZhangShanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.
Ruofan XuEleanor Roosevelt College, University of California San Diego, La Jolla, CA92093, USA.
Ying ZhangShanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.ORCID https://orcid.org/0000-0003-0509-1098
Haojie LuShanghai Cancer Center and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.ORCID https://orcid.org/0000-0003-3477-7662
Fudan University · CNFudan University Shanghai Cancer Center · CNRoosevelt Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The glycoproteome has emerged as a prominent target for screening biomarkers, as altered glycosylation is a hallmark of cancer cells. In this work, we incorporated tandem mass tag labeling into quantitative glycoproteomics by developing a chemical labeling-assisted complementary dissociation method for the multiplexed analysis of intact

Indexed as

glycoproteomicshigh-throughputliver diseaseN-glycopeptidesquantification

Identifiers

PMID36879659
PMCPMC9985154
OpenAlexW4226092529

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.