Literature DB >> 29285644

Designation of fingerprint glycopeptides for targeted glycoproteomic analysis of serum haptoglobin: insights into gastric cancer biomarker discovery.

Jua Lee1,2, Serenus Hua1,2, Sung Hyeon Lee3, Myung Jin Oh1,2, Jaekyung Yun1,2, Jin Young Kim4, Jae-Han Kim5, Jung Hoe Kim6, Hyun Joo An7,8.   

Abstract

Gastric cancer (GC) is one of the leading causes of cancer-related death worldwide, largely because of difficulties in early diagnosis. Despite accumulating evidence indicating that aberrant glycosylation is associated with GC, site-specific localization of the glycosylation to increase specificity and sensitivity for clinical use is still an analytical challenge. Here, we created an analytical platform with a targeted glycoproteomic approach for GC biomarker discovery. Unlike the conventional glycomic approach with untargeted mass spectrometric profiling of released glycan, our platform is characterized by three key features: it is a target-protein-specific, glycosylation-site-specific, and structure-specific platform with a one-shot enzyme reaction. Serum haptoglobin enriched by immunoaffinity chromatography was subjected to multispecific proteolysis to generate site-specific glycopeptides and to investigate the macroheterogeneity and microheterogeneity. Glycopeptides were identified and quantified by nano liquid chromatography-mass spectrometry and nano liquid chromatography-tandem mass spectrometry. Ninety-six glycopeptides, each corresponding to a unique glycan/glycosite pairing, were tracked across all cancer and control samples. Differences in abundance between the two groups were marked by particularly high magnitudes. Three glycopeptides exhibited exceptionally high control-to-cancer fold changes along with receiver operating characteristic curve areas of 1.0, indicating perfect discrimination between the two groups. From the results taken together, our platform, which provides biological information as well as high sensitivity and reproducibility, may be useful for GC biomarker discovery. Graphical abstract ᅟ.

Entities:  

Keywords:  Gastric cancer; Glycopeptide; Glycoproteomics; Mass spectrometry; Site-specific glycosylation

Mesh:

Substances:

Year:  2017        PMID: 29285644     DOI: 10.1007/s00216-017-0811-y

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  11 in total

1.  Adaption of the Aristotle Classifier for Accurately Identifying Highly Similar Bacteria Analyzed by MALDI-TOF MS.

Authors:  Heather Desaire; David Hua
Journal:  Anal Chem       Date:  2019-12-10       Impact factor: 6.986

2.  The Aristotle Classifier: Using the Whole Glycomic Profile To Indicate a Disease State.

Authors:  David Hua; Milani Wijeweera Patabandige; Eden P Go; Heather Desaire
Journal:  Anal Chem       Date:  2019-08-13       Impact factor: 6.986

Review 3.  Glycoproteomic markers of hepatocellular carcinoma-mass spectrometry based approaches.

Authors:  Jianhui Zhu; Elisa Warner; Neehar D Parikh; David M Lubman
Journal:  Mass Spectrom Rev       Date:  2018-11-25       Impact factor: 10.946

4.  Spatial and temporal diversity of glycome expression in mammalian brain.

Authors:  Jua Lee; Seungshin Ha; Minsoo Kim; Seong-Wook Kim; Jaekyung Yun; Sureyya Ozcan; Heeyoun Hwang; In Jung Ji; Dongtan Yin; Maree J Webster; Cynthia Shannon Weickert; Jae-Han Kim; Jong Shin Yoo; Rudolf Grimm; Sabine Bahn; Hee-Sup Shin; Hyun Joo An
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-02       Impact factor: 11.205

5.  Differential Quantitative Determination of Site-Specific Intact N-Glycopeptides in Serum Haptoglobin between Hepatocellular Carcinoma and Cirrhosis Using LC-EThcD-MS/MS.

Authors:  Jianhui Zhu; Zhengwei Chen; Jie Zhang; Mingrui An; Jing Wu; Qing Yu; St John Skilton; Marshall Bern; K Ilker Sen; Lingjun Li; David M Lubman
Journal:  J Proteome Res       Date:  2018-10-29       Impact factor: 4.466

6.  Glycopeptide Biomarkers in Serum Haptoglobin for Hepatocellular Carcinoma Detection in Patients with Nonalcoholic Steatohepatitis.

Authors:  Jianhui Zhu; Junfeng Huang; Jie Zhang; Zhengwei Chen; Yu Lin; Gabriela Grigorean; Lingjun Li; Suyu Liu; Amit G Singal; Neehar D Parikh; David M Lubman
Journal:  J Proteome Res       Date:  2020-05-29       Impact factor: 4.466

7.  Disease-specific haptoglobin-β chain N-glycosylation as biomarker to differentiate non-small cell lung cancer from benign lung diseases.

Authors:  Tianjing Chen; Chengyan He; Mo Zhang; Xiaoou Li; Xiaofeng Liu; Yujie Liu; Dan Zhang; Zhili Li
Journal:  J Cancer       Date:  2019-09-07       Impact factor: 4.207

Review 8.  Towards structure-focused glycoproteomics.

Authors:  Anastasia Chernykh; Rebeca Kawahara; Morten Thaysen-Andersen
Journal:  Biochem Soc Trans       Date:  2021-02-26       Impact factor: 5.407

9.  Site-Specific N-Linked Glycosylation Analysis of Human Carcinoembryonic Antigen by Sheathless Capillary Electrophoresis-Tandem Mass Spectrometry.

Authors:  Laura Pont; Valeriia Kuzyk; Fernando Benavente; Victoria Sanz-Nebot; Oleg A Mayboroda; Manfred Wuhrer; Guinevere S M Lageveen-Kammeijer
Journal:  J Proteome Res       Date:  2021-02-09       Impact factor: 4.466

10.  Machine Learning Classifies Core and Outer Fucosylation of N-Glycoproteins Using Mass Spectrometry.

Authors:  Heeyoun Hwang; Hoi Keun Jeong; Hyun Kyoung Lee; Gun Wook Park; Ju Yeon Lee; Soo Youn Lee; Young-Mook Kang; Hyun Joo An; Jeong Gu Kang; Jeong-Heon Ko; Jin Young Kim; Jong Shin Yoo
Journal:  Sci Rep       Date:  2020-01-15       Impact factor: 4.379

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