Evidence map›Paper›PMID 31606076›Full record

ArticleMethods in enzymology2019

Systematic and site-specific analysis of N-glycoproteins on the cell surface by integrating bioorthogonal chemistry and MS-based proteomics.

Fangxu Sun, Ronghu Wu

Open access · greenAbstract read
In one paragraph

Article in Methods in enzymology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 14% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

2 authors at 1 institution in 1 country.

Fangxu SunSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States.
Ronghu WuSchool of Chemistry and Biochemistry and the Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, GA, United States. Electronic address: ronghu.wu@chemistry.gatech.edu.
Georgia Institute of Technology · US

Funding

Effective MS-Based Methods for Unraveling Cell Surface Protein InteractionsR01GM118803 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI WU, RONGHU · 2017 to 2024
$2.4M
NIGMS NIH HHS R01 GM118803
6 · The paper itself

Abstract

Glycoproteins on the cell surface are essential for various cellular activities including cell-cell communication and cell-matrix interaction. Alterations of glycosylation are correlated with many diseases such as cancer and infectious diseases. However, it is greatly challenging to systematically and site-specially analyze glycoproteins only located on cell surface because of the heterogeneity of glycans, the low abundance of many surface glycoproteins and the requirement of effective methods to separate surface glycoproteins. In this chapter, we briefly review existing mass spectrometry (MS)-based methods for global analysis of surface glycoproteins. Then we discuss an effective method integrating metabolic labeling, click and enzymatic reactions, and MS-based proteomics to comprehensively and site-specifically investigate cell surface N-glycoproteins. A detailed protocol for this method is also included. In combination with quantitative proteomics, we applied this method to quantify cell surface N-glycoproteins and study the relationship between cell invasiveness and N-sialoglycoproteins on the cell surface. Considering the importance of surface glycoproteins, this method can be extensively applied to advance glycoscience, which leads to a better understanding of the molecular mechanisms of human diseases, and the discovery of surface glycoproteins as biomarkers for disease detection.

Indexed as

Cell MembraneGlycoproteinsGlycosylationHep G2 CellsHumansPolysaccharidesProteomicsTandem Mass SpectrometryGlycoproteinsPolysaccharidesBioorthogonal chemistryCell surfaceGlycoprotein quantificationMetabolic labelingMS-based proteomicsN-glycoproteins

Identifiers

PMID31606076
PMCPMC8026250
OpenAlexW2966784458

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.