Evidence map›Paper›PMID 34110173›Full record

ArticleJournal of proteome research2021

An Integrated Strategy Reveals Complex Glycosylation of Erythropoietin Using Mass Spectrometry.

Yudong Guan, Min Zhang, Manasi Gaikwad, Hannah Voss, Ramin Fazel, Samira Ansari, Huali Shen, Jigang Wang, Hartmut Schlüter

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Journal of proteome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 41% 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. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 3 countries.

Yudong GuanThe First Affiliated Hospital (Shenzhen People's Hospital), Southern University of Science and Technology, Shenzhen 518055, China.ORCID 0000-0003-1350-5238
Min ZhangSection Mass Spectrometric Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.
Manasi GaikwadSection Mass Spectrometric Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.
Hannah VossSection Mass Spectrometric Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.
Ramin FazelReasearch and Innovation Center, Livogen Pharmed Co., Tehran 1417755358, Iran.
Samira AnsariCinnaGen Medical Biotechnology Research Center, Alborz University of Medical Sciences, Karaj 3165933155, Iran.
Huali ShenDepartment of Systems Biology for Medicine, School of Basic Medical Sciences, Fudan University, Shanghai 200032, China.ORCID 0000-0002-0255-3720
Jigang WangThe First Affiliated Hospital (Shenzhen People's Hospital), Southern University of Science and Technology, Shenzhen 518055, China.
Hartmut SchlüterSection Mass Spectrometric Proteomics, Institute of Clinical Chemistry and Laboratory Medicine, University Medical Center Hamburg-Eppendorf, Hamburg 20246, Germany.ORCID 0000-0002-9358-7036
Universität Hamburg · DESouthern University of Science and Technology · CNBiotechnology Research Center · IRFudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The characterization of therapeutic glycoproteins is challenging due to the structural heterogeneity of the therapeutic protein glycosylation. This study presents an in-depth analytical strategy for glycosylation of first-generation erythropoietin (epoetin beta), including a developed mass spectrometric workflow for N-glycan analysis, bottom-up mass spectrometric methods for site-specific N-glycosylation, and a LC-MS approach for O-glycan identification. Permethylated N-glycans, peptides, and enriched glycopeptides of erythropoietin were analyzed by nanoLC-MS/MS, and de-N-glycosylated erythropoietin was measured by LC-MS, enabling the qualitative and quantitative analysis of glycosylation and different glycan modifications (e.g., phosphorylation and O-acetylation). The newly developed Python scripts enabled the identification of 140 N-glycan compositions (237 N-glycan structures) from erythropoietin, especially including 8 phosphorylated N-glycan species. The site-specificity of N-glycans was revealed at the glycopeptide level by pGlyco software using different proteases. In total, 114 N-glycan compositions were identified from glycopeptide analysis. Moreover, LC-MS analysis of de-N-glycosylated erythropoietin species identified two O-glycan compositions based on the mass shifts between non-O-glycosylated and O-glycosylated species. Finally, this integrated strategy was proved to realize the in-depth glycosylation analysis of a therapeutic glycoprotein to understand its pharmacological properties and improving the manufacturing processes.

Indexed as

ErythropoietinTandem Mass SpectrometryChromatography, LiquidGlycopeptidesGlycosylationPolysaccharidesErythropoietinGlycopeptidesPolysaccharidesbottom-uperythropoietinglycoinformaticsglycosylationmass spectrometryPython scripts

Identifiers

PMID34110173
PMCPMC9472269
OpenAlexW3170359867

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.