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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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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. |
format | Online Article Text |
id | pubmed-5578957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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