Evidence map›Paper›PMID 29687791›Full record

ArticleThe Analyst2018

Site-specific characterization and quantitation of N-glycopeptides in PKM2 knockout breast cancer cells using DiLeu isobaric tags enabled by electron-transfer/higher-energy collision dissociation (EThcD).

Zhengwei Chen, Qing Yu, Ling Hao, Fabao Liu, Jillian Johnson, Zichuan Tian, W John Kao, Wei Xu, Lingjun Li

Abstract read
In one paragraph

Article in The Analyst, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Boost-DiLeu: Enhanced IsobaricAnalytical chemistry · 2022
    Article
  7. Measuring change in glycoprotein structure.Current opinion in structural biology · 2022
    Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Towards structure-focused glycoproteomics.Biochemical Society transactions · 2021
    Review
  13. Review
  14. Article
  15. Review
  16. Review
  17. Optimal Dissociation Methods Differ forJournal of proteome research · 2020
    Article
  18. Article
  19. Article
  20. Isobaric Labeling Strategy Utilizing 4-PlexJournal of proteome research · 2020
    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

9 authors at 1 institution in 2 countries.

Zhengwei ChenDepartment of Chemistry, University of Wisconsin, Madison, WI 53705, USA. lingjun.li@wisc.edu.
Qing Yu
Ling Hao
Fabao Liu
Jillian Johnson
Zichuan Tian
W John Kao
Wei Xu
Lingjun Li
University of Wisconsin–Madison · US

Funding

TR&D 2 Metabolic Labels for Ultraplexed Protein Quantification p. 453P41GM108538 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI COON, JOSHUA J · 2016 to 2025
$13.1M
Role of Beta-Catenin in Urinary DysfunctionU54DK104310 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI RICKE, WILLIAM A · 2014 to 2023
$12.8M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
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
Protein Arginine Methylation in Chemotherapy ResistanceR01CA213293 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI XU, WEI · 2017 to 2021
$795k
Mass Defect-based Chemical Tags for Multiplex Glycan QuantitationR21AG055377 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2016 to 2017
$603k
NCI NIH HHS R01 CA213293NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG052324NIA NIH HHS R21 AG055377NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS P41 GM108538
6 · The paper itself

Abstract

The system-wide site-specific analysis of intact glycopeptides is crucial for understanding the exact functional relevance of protein glycosylation. A dedicated workflow with the capability to simultaneously characterize and quantify intact glycopeptides in a site-specific and high-throughput manner is essential to reveal specific glycosylation alteration patterns in complex biological systems. In this study, an enhanced, dedicated, large-scale site-specific quantitative N-glycoproteomics workflow has been established, which includes improved specific extraction of membrane-bound glycoproteins using the filter aided sample preparation (FASP) method, enhanced enrichment of N-glycopeptides using sequential hydrophilic interaction liquid chromatography (HILIC) and multi-lectin affinity (MLA) enrichment, site-specific N-glycopeptide characterization enabled by EThcD, relative quantitation utilizing isobaric N,N-dimethyl leucine (DiLeu) tags and automated FDR-based large-scale data analysis by Byonic. For the first time, our study shows that HILIC complements to a very large extent to MLA enrichment with only 20% overlapping in enriching intact N-glycopeptides. When applying the developed workflow to site-specific N-glycoproteome study in PANC1 cells, we were able to identify 1067 intact N-glycopeptides, representing 311 glycosylation sites and 88 glycan compositions from 205 glycoproteins. We further applied this approach to study the glycosylation alterations in PKM2 knockout cells vs. parental breast cancer cells and revealed altered N-glycoprotein/N-glycopeptide patterns and very different glycosylation microheterogeneity for different types of glycans. To obtain a more comprehensive map of glycoprotein alterations, N-glycopeptides after treatment with PNGase F were also analyzed. A total of 484 deglycosylated peptides were quantified, among which 81 deglycosylated peptides from 70 glycoproteins showed significant changes. KEGG pathway analysis revealed that the PI3K/Akt signaling pathway was highly enriched, which provided evidence to support the previous finding that PKM2 knockdown cancer cells rely on activation of Akt for their survival. With glycosylation being one of the most important signaling modulators, our results provide additional evidence that signaling pathways are closely regulated by metabolism.

Indexed as

Breast NeoplasmsCarrier ProteinsCell Line, TumorElectronsGene Knockout TechniquesGlycopeptidesGlycoproteinsGlycosylationHumansLeucineMembrane ProteinsThyroid Hormone-Binding ProteinsThyroid HormonesCarrier ProteinsGlycopeptidesGlycoproteinsLeucineMembrane ProteinsThyroid Hormone-Binding ProteinsThyroid Hormones

Identifiers

PMID29687791
PMCPMC5975206
OpenAlexW2792518984

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.