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High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization

Analysis of a large number of samples requires an efficient, rapid and reproducible method. Automation is an ideal approach for high-throughput sample preparation. Multi-plexing sample preparation via a 96-well plate format becomes popular in recent years; however, those methods lack specificity and...

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Autores principales: Yang, Shuang, Clark, David, Liu, Yang, Li, Shuwei, Zhang, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578957/
https://www.ncbi.nlm.nih.gov/pubmed/28860471
http://dx.doi.org/10.1038/s41598-017-10487-8
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author Yang, Shuang
Clark, David
Liu, Yang
Li, Shuwei
Zhang, Hui
author_facet Yang, Shuang
Clark, David
Liu, Yang
Li, Shuwei
Zhang, Hui
author_sort Yang, Shuang
collection PubMed
description Analysis of a large number of samples requires an efficient, rapid and reproducible method. Automation is an ideal approach for high-throughput sample preparation. Multi-plexing sample preparation via a 96-well plate format becomes popular in recent years; however, those methods lack specificity and require several cleanup steps via chromatography purification. To overcome these drawbacks, a chemoenzymatic method has been developed utilizing protein conjugation on solid-phase. Previously, sample preparation was successfully performed in a snap-cap spin-column (SCSC) format. However, sample preparation using SCSC is time-consuming and lacks reproducibility. In this work, we integrated the chemoenzymatic technique in a pipette tip (AutoTip) that was operated by an automated liquid handler. We established a multi-step protocol involving protein immobilization, sialic acid modification, and N-glycan release. We first optimized our automated protocol using bovine fetuin as a standard glycoprotein, and then assessed the reproducibility of the AutoTip using isobaric tags for relative N-linked glycan quantification. We then applied this methodology to profile N-glycans from 58 prostate cancer patient urine samples, revealing increased sialyation on urinary N-glycans derived from prostate cancer patients. Our results indicated AutoTip has applications for high-throughput sample preparation for studying the N-linked glycans.
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spelling pubmed-55789572017-09-06 High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization Yang, Shuang Clark, David Liu, Yang Li, Shuwei Zhang, Hui Sci Rep Article Analysis of a large number of samples requires an efficient, rapid and reproducible method. Automation is an ideal approach for high-throughput sample preparation. Multi-plexing sample preparation via a 96-well plate format becomes popular in recent years; however, those methods lack specificity and require several cleanup steps via chromatography purification. To overcome these drawbacks, a chemoenzymatic method has been developed utilizing protein conjugation on solid-phase. Previously, sample preparation was successfully performed in a snap-cap spin-column (SCSC) format. However, sample preparation using SCSC is time-consuming and lacks reproducibility. In this work, we integrated the chemoenzymatic technique in a pipette tip (AutoTip) that was operated by an automated liquid handler. We established a multi-step protocol involving protein immobilization, sialic acid modification, and N-glycan release. We first optimized our automated protocol using bovine fetuin as a standard glycoprotein, and then assessed the reproducibility of the AutoTip using isobaric tags for relative N-linked glycan quantification. We then applied this methodology to profile N-glycans from 58 prostate cancer patient urine samples, revealing increased sialyation on urinary N-glycans derived from prostate cancer patients. Our results indicated AutoTip has applications for high-throughput sample preparation for studying the N-linked glycans. Nature Publishing Group UK 2017-08-31 /pmc/articles/PMC5578957/ /pubmed/28860471 http://dx.doi.org/10.1038/s41598-017-10487-8 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Yang, Shuang
Clark, David
Liu, Yang
Li, Shuwei
Zhang, Hui
High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title_full High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title_fullStr High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title_full_unstemmed High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title_short High-throughput analysis of N-glycans using AutoTip via glycoprotein immobilization
title_sort high-throughput analysis of n-glycans using autotip via glycoprotein immobilization
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5578957/
https://www.ncbi.nlm.nih.gov/pubmed/28860471
http://dx.doi.org/10.1038/s41598-017-10487-8
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