Literature DB >> 20462175

Comparative quantitation of aberrant glycoforms by lectin-based glycoprotein enrichment coupled with multiple-reaction monitoring mass spectrometry.

Yeong Hee Ahn1, Yong-Sam Kim, Eun Sun Ji, Ji Yeon Lee, Ji-Ae Jung, Jeong Heon Ko, Jong Shin Yoo.   

Abstract

Lectin enrichment-coupled multiple-reaction monitoring (MRM) mass spectrometry was employed to quantitatively monitor the variation of aberrant glycoforms produced under pathological states. For this, aberrant glycoforms of the tissue inhibitor of metalloproteinase 1 (TIMP1) and protein tyrosine phosphatase kappa (PTPkappa), previously known target proteins for N-acetylglucosaminyltransferase-V (GnT-V), were enriched by phytohemagglutinin-L(4) (L-PHA) lectin and comparatively analyzed in the conditioned medium of the WiDr colon cancer cell line and its GnT-V-overexpressing transfectant cells. Enriched glycoforms were digested, and the resultant peptides were comparatively quantified by MRM analysis. MRM quantitation data for the L-PHA-enriched samples revealed that the abundance of aberrant glycoforms of TIMP1 and PTPkappa was greatly increased (11.7- and 16.5-fold, respectively) in GnT-V-treated cells compared to the control cells, although the abundance of total TIMP1 and PTPkappa in GnT-V-treated cells was slightly different (1.1- and 0.5-fold, respectively) for unenriched samples compared to that in control cells. The dramatic variation in abundance of the aberrant glycoforms due to overexpressed GnT-V was confirmed quantitatively by comparative MRM analysis of lectin-enriched samples. This method is capable of comparatively quantitating the abundance of a protein of interest and its aberrant glycoform and will be useful for studying pathological mechanisms of cancer or verifying biomarker candidates.

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Year:  2010        PMID: 20462175     DOI: 10.1021/ac1001965

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  11 in total

1.  Lectin and Liquid Chromatography-Based Methods for Immunoglobulin (G) Glycosylation Analysis.

Authors:  Tea Petrović; Irena Trbojević-Akmačić
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Review 2.  Advancing the sensitivity of selected reaction monitoring-based targeted quantitative proteomics.

Authors:  Tujin Shi; Dian Su; Tao Liu; Keqi Tang; David G Camp; Wei-Jun Qian; Richard D Smith
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

3.  Aberrant glycosylation associated with enzymes as cancer biomarkers.

Authors:  Danni L Meany; Daniel W Chan
Journal:  Clin Proteomics       Date:  2011-06-03       Impact factor: 3.988

4.  Analysis of serum protein glycosylation by a differential lectin immunosorbant assay (dLISA).

Authors:  Danni Li; Hanching Chiu; Hui Zhang; Daniel W Chan
Journal:  Clin Proteomics       Date:  2013-09-09       Impact factor: 3.988

5.  An engineered high affinity Fbs1 carbohydrate binding protein for selective capture of N-glycans and N-glycopeptides.

Authors:  Minyong Chen; Xiaofeng Shi; Rebecca M Duke; Cristian I Ruse; Nan Dai; Christopher H Taron; James C Samuelson
Journal:  Nat Commun       Date:  2017-05-23       Impact factor: 14.919

Review 6.  A Timely Shift from Shotgun to Targeted Proteomics and How It Can Be Groundbreaking for Cancer Research.

Authors:  Sara S Faria; Carlos F M Morris; Adriano R Silva; Micaella P Fonseca; Patrice Forget; Mariana S Castro; Wagner Fontes
Journal:  Front Oncol       Date:  2017-02-20       Impact factor: 6.244

7.  N-glycosylation of colorectal cancer tissues: a liquid chromatography and mass spectrometry-based investigation.

Authors:  Crina I A Balog; Kathrin Stavenhagen; Wesley L J Fung; Carolien A Koeleman; Liam A McDonnell; Aswin Verhoeven; Wilma E Mesker; Rob A E M Tollenaar; André M Deelder; Manfred Wuhrer
Journal:  Mol Cell Proteomics       Date:  2012-05-09       Impact factor: 5.911

Review 8.  The sweet and sour of serological glycoprotein tumor biomarker quantification.

Authors:  Uros Kuzmanov; Hari Kosanam; Eleftherios P Diamandis
Journal:  BMC Med       Date:  2013-02-07       Impact factor: 8.775

Review 9.  Expression level and glycan dynamics determine the net effects of TIMP-1 on cancer progression.

Authors:  Yong-Sam Kim; Sun-Hee Kim; Jeong-Gu Kang; Jeong-Heon Ko
Journal:  BMB Rep       Date:  2012-11       Impact factor: 4.778

Review 10.  Quantitative mass spectrometric analysis of glycoproteins combined with enrichment methods.

Authors:  Yeong Hee Ahn; Jin Young Kim; Jong Shin Yoo
Journal:  Mass Spectrom Rev       Date:  2014-06-02       Impact factor: 10.946

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