Literature DB >> 24611567

Lectin approaches for glycoproteomics in FDA-approved cancer biomarkers.

Haitham A Badr1, Dina M M Alsadek, Ashraf A Darwish, Abdelaleim I Elsayed, Bakhytzhan O Bekmanov, Elmira M Khussainova, Xueji Zhang, William C S Cho, Leyla B Djansugurova, Chen-Zhong Li.   

Abstract

The nine FDA-approved protein biomarkers for the diagnosis and management of cancer are approaching maturity, but their different glycosylation compositions relevant to early diagnosis still remain practically unexplored at the sub-glycoproteome scale. Lectins generally exhibit strong binding to specific sub-glycoproteome components and this property has been quite poorly addressed as the basis for the early diagnosis methods. Here, we discuss some glycoproteome issues that make tackling the glycoproteome particularly challenging in the cancer biomarkers field and include a brief view for next generation technologies.

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Year:  2014        PMID: 24611567     DOI: 10.1586/14789450.2014.897611

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  20 in total

1.  Nutrient-deprived cancer cells preferentially use sialic acid to maintain cell surface glycosylation.

Authors:  Haitham A Badr; Dina M M AlSadek; Mohit P Mathew; Chen-Zhong Li; Leyla B Djansugurova; Kevin J Yarema; Hafiz Ahmed
Journal:  Biomaterials       Date:  2015-08-10       Impact factor: 12.479

Review 2.  Harnessing cancer cell metabolism for theranostic applications using metabolic glycoengineering of sialic acid in breast cancer as a pioneering example.

Authors:  Haitham A Badr; Dina M M AlSadek; Motawa E El-Houseini; Christopher T Saeui; Mohit P Mathew; Kevin J Yarema; Hafiz Ahmed
Journal:  Biomaterials       Date:  2016-11-25       Impact factor: 12.479

3.  Structural analysis and unique molecular recognition properties of a Bauhinia forficata lectin that inhibits cancer cell growth.

Authors:  Jacek Lubkowski; Sarah V Durbin; Mariana C C Silva; David Farnsworth; Jeffrey C Gildersleeve; Maria Luiza V Oliva; Alexander Wlodawer
Journal:  FEBS J       Date:  2017-02-01       Impact factor: 5.542

4.  Recent advances in mass spectrometry (MS)-based glycoproteomics in complex biological samples.

Authors:  Zhengwei Chen; Junfeng Huang; Lingjun Li
Journal:  Trends Analyt Chem       Date:  2018-10-15       Impact factor: 12.296

5.  Cancer cell death induced by nanomagnetolectin.

Authors:  Dina M M AlSadek; Haitham A Badr; Tamer A Al-Shafie; Sabry M El-Bahr; Motawa E El-Houseini; Leyla B Djansugurova; Chen-Zhong Li; Hafiz Ahmed
Journal:  Eur J Cell Biol       Date:  2017-05-10       Impact factor: 4.492

6.  Label-free chronopotentiometric glycoprofiling of prostate specific antigen using sialic acid recognizing lectins.

Authors:  Stefan Belicky; Hana Černocká; Tomas Bertok; Alena Holazova; Kamila Réblová; Emil Paleček; Jan Tkac; Veronika Ostatná
Journal:  Bioelectrochemistry       Date:  2017-06-19       Impact factor: 5.373

7.  Sweet characterisation of prostate specific antigen using electrochemical lectin-based immunosensor assay and MALDI TOF/TOF analysis: Focus on sialic acid.

Authors:  Dominika Pihikova; Zuzana Pakanova; Marek Nemcovic; Peter Barath; Stefan Belicky; Tomas Bertok; Peter Kasak; Jan Mucha; Jan Tkac
Journal:  Proteomics       Date:  2016-04-13       Impact factor: 3.984

Review 8.  Electrochemistry of nonconjugated proteins and glycoproteins. Toward sensors for biomedicine and glycomics.

Authors:  Emil Paleček; Jan Tkáč; Martin Bartošík; Tomáš Bertók; Veronika Ostatná; Jan Paleček
Journal:  Chem Rev       Date:  2015-02-09       Impact factor: 60.622

9.  Sensitive detection and glycoprofiling of a prostate specific antigen using impedimetric assays.

Authors:  D Pihíková; Š Belicky; P Kasák; T Bertok; J Tkac
Journal:  Analyst       Date:  2015-12-09       Impact factor: 4.616

10.  Can glycoprofiling be helpful in detecting prostate cancer?

Authors:  Štefan Belický; Jan Tkac
Journal:  Chem Zvesti       Date:  2014-11-28       Impact factor: 2.097

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