Evidence map›Paper›PMID 32236654›Full record

ArticleCellular and molecular life sciences : CMLS2021

Colorectal cancer cell lines show striking diversity of their O-glycome reflecting the cellular differentiation phenotype.

Katarina Madunić, Tao Zhang, Oleg A Mayboroda, Stephanie Holst, Kathrin Stavenhagen, Chunsheng Jin, Niclas G Karlsson, Guinevere S M Lageveen-Kammeijer, Manfred Wuhrer

Open access · hybridAbstract read
In one paragraph

Article in Cellular and molecular life sciences : CMLS, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
3.3field-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

41 citing papers in PubMed, 63 citations in OpenAlex.

  1. Review
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  13. Contribution of PKS+Heliyon · 2024
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  14. Revealing Glycosylation Patterns inJournal of agricultural and food chemistry · 2024
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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 2 institutions in 2 countries.

Katarina MadunićCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-9310-4110
Tao ZhangCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.
Oleg A MayborodaCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.
Stephanie HolstCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.
Kathrin StavenhagenCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.
Chunsheng JinDepartment of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Niclas G KarlssonDepartment of Medical Biochemistry and Cell Biology, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Guinevere S M Lageveen-KammeijerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Postbus 9600, 2300 RC, Leiden, The Netherlands. m.wuhrer@lumc.nl.
Leiden University Medical Center · NLUniversity of Gothenburg · SE

Funding

Horizon 2020 Framework Programme 676421
6 · The paper itself

Abstract

Alterations in protein glycosylation in colorectal cancer (CRC) have been extensively studied using cell lines as models. However, little is known about their O-glycome and the differences in glycan biosynthesis in different cell types. To provide a better understanding of the variation in O-glycosylation phenotypes and their association with other molecular features, an in-depth O-glycosylation analysis of 26 different CRC cell lines was performed. The released O-glycans were analysed on porous graphitized carbon nano-liquid chromatography system coupled to a mass spectrometer via electrospray ionization (PGC-nano-LC-ESI-MS/MS) allowing isomeric separation as well as in-depth structural characterization. Associations between the observed glycan phenotypes with previously reported cell line transcriptome signatures were examined by canonical correlation analysis. Striking differences are observed between the O-glycomes of 26 CRC cell lines. Unsupervized principal component analysis reveals a separation between well-differentiated colon-like and undifferentiated cell lines. Colon-like cell lines are characterized by a prevalence of I-branched and sialyl Lewis x/a epitope carrying glycans, while most undifferentiated cell lines show absence of Lewis epitope expression resulting in dominance of truncated α2,6-core sialylated glycans. Moreover, the expression of glycan signatures associates with the expression of glycosyltransferases that are involved in their biosynthesis, providing a deeper insight into the regulation of glycan biosynthesis in different cell types. This untargeted in-depth screening of cell line O-glycomes paves the way for future studies exploring the role of glycosylation in CRC development and drug response leading to discovery of novel targets for the development of anti-cancer antibodies.

Indexed as

Cell DifferentiationCarbohydrate SequenceCell Line, TumorChromatography, High Pressure LiquidColorectal NeoplasmsGlycomicsGlycosylationGlycosyltransferasesHumansPhenotypePolysaccharidesPrincipal Component AnalysisTandem Mass SpectrometryGlycosyltransferasesPolysaccharidesCell linesColorectal cancerGlycomicsMass spectrometryO-GlycosylationPorous graphitized carbon liquid chromatography

Identifiers

PMID32236654
PMCPMC7867528
OpenAlexW3014634503

What OpenQuestion holds

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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.