Evidence map›Paper›PMID 30370771›Full record

ArticleJournal of proteome research2019

Differential Quantitative Determination of Site-Specific Intact N-Glycopeptides in Serum Haptoglobin between Hepatocellular Carcinoma and Cirrhosis Using LC-EThcD-MS/MS.

Jianhui Zhu, Zhengwei Chen, Jie Zhang, Mingrui An, Jing Wu, Qing Yu, St John Skilton, Marshall Bern, K Ilker Sen, Lingjun Li and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of proteome research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

44 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  4. Article
  5. The role ofActa pharmaceutica Sinica. B · 2024
    Review
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  7. Review
  8. Review
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  10. Review
  11. Article
  12. Review
  13. Article
  14. Haptoglobin polymorphism affects its N-glycosylation pattern in serum.Journal of mass spectrometry and advances in the clinical lab · 2022
    Article
  15. Article
  16. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  17. Review
  18. Article
  19. Review
  20. 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

11 authors at 3 institutions in 1 country.

Jianhui ZhuDepartment of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0002-0051-7777
Zhengwei ChenDepartment of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.ORCID 0000-0002-5900-3359
Jie ZhangDepartment of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0002-1395-4853
Mingrui AnDepartment of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0001-5903-0405
Jing WuDepartment of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States.
Qing YuSchool of Pharmacy , University of Wisconsin-Madison , Madison , Wisconsin 53705 , United States.
St John SkiltonProtein Metrics Incorporated, San Carlos , California 94070 , United States.
Marshall BernProtein Metrics Incorporated, San Carlos , California 94070 , United States.
K Ilker SenProtein Metrics Incorporated, San Carlos , California 94070 , United States.
Lingjun LiDepartment of Chemistry , University of Wisconsin-Madison , Madison , Wisconsin 53706 , United States.
David M LubmanDepartment of Surgery , University of Michigan Medical Center , Ann Arbor , Michigan 48109 , United States.ORCID 0000-0001-7731-0232
University of Michigan · USProtein Metrics (United States) · USUniversity of Wisconsin–Madison · US

Funding

Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Supplemental for Detection of Glycopeptides of MCI in Patient SerumR01CA160254 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI David M. Lubman · 2012 to 2026
$5.4M
Microsequencing in an Ion Trap/reTOF DeviceR01GM049500 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 1994 to 2016
$3.0M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
DiLeu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer’s diseaseR01AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2023 to 2026
$2.3M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Screening of Glycan Markers in Serum for Early Detection of HCC in Different Etiologies of DiseaseU01CA225753 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M., MECHREF, YEHIA · 2018 to 2021
$2.0M
Protein Microarrays for the Humoral Response in CancerR01CA106402 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LUBMAN, DAVID M. · 2004 to 2008
$1.4M
Mass Defect-based Chemical Tags for Multiplex Glycan QuantitationR21AG055377 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2016 to 2017
$603k
Glycopeptide Identification with a Comprehensive Proteomics Search EngineR21GM122634 · NIGMS · PROTEIN METRICS, LLC · PI BERN, MARSHALL WAYNE · 2016 to 2017
$400k
Discovery and Validation of Biomarkers for Early Cancer Detection Using Mass SpectrometryR50CA221808 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHU, JIANHUI · 2018 to 2020
$189k
NCI NIH HHS R01 CA106402NCI NIH HHS R01 CA160254NCI NIH HHS R50 CA221808NCI NIH HHS U01 CA225753NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R21 AG055377NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS R01 GM049500NIGMS NIH HHS R21 GM122634
6 · The paper itself

Abstract

Intact N-glycopeptide analysis remains challenging due to the complexity of glycopeptide structures, low abundance of glycopeptides in protein digests, and difficulties in data interpretation/quantitation. Herein, we developed a workflow that involved advanced methodologies, the EThcD-MS/MS fragmentation method and data interpretation software, for differential analysis of the microheterogeneity of site-specific intact N-glycopeptides of serum haptoglobin between early hepatocellular carcinoma (HCC) and liver cirrhosis. Haptoglobin was immunopurified from 20 μL of serum in patients with early HCC, liver cirrhosis, and healthy controls, respectively, followed by trypsin/GluC digestion, glycopeptide enrichment, and LC-EThcD-MS/MS analysis. Identification and differential quantitation of site-specific N-glycopeptides were performed using a combination of Byonic and Byologic software. In total, 93, 87, and 68 site-specific N-glycopeptides were identified in early HCC, liver cirrhosis, and healthy controls, respectively, with high confidence. The increased variety of N-glycopeptides in liver diseases compared to healthy controls was due to increased branching with hyper-fucosylation and sialylation. Differential quantitation analysis showed that 5 site-specific N-glycopeptides on sites N184 and N241 were significantly elevated in early HCC compared to cirrhosis ( p < 0.05) and normal controls ( p ≤ 0.001). The result demonstrates that the workflow provides a strategy for detailed profiles of N-glycopeptides of patient samples as well as for relative quantitation to determine the level changes in site-specific N-glycopeptides between disease states.

Indexed as

Liver CirrhosisBinding SitesCarcinoma, HepatocellularChromatography, LiquidGlycopeptidesGlycosylationHaptoglobinsLiver NeoplasmsProteomicsTandem Mass SpectrometryWorkflowGlycopeptidesHaptoglobinsByologicByonicEThcD-MS/MShaptoglobinHCCsite-specific glycopeptides

Identifiers

PMID30370771
PMCPMC6465142
OpenAlexW2896305731

What OpenQuestion holds

Textmetadata
LicenceTDM
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.