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Glycoproteomics-Based Identification of Cancer Biomarkers
Protein glycosylation is one of the most common posttranslational modifications in mammalian cells. It is involved in many biological pathways and molecular functions and is well suited for proteomics-based disease investigations. Aberrant protein glycosylation may be associated with disease process...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3195811/ https://www.ncbi.nlm.nih.gov/pubmed/22084691 http://dx.doi.org/10.1155/2011/601937 |
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author | Kim, Evelyn H. Misek, David E. |
author_facet | Kim, Evelyn H. Misek, David E. |
author_sort | Kim, Evelyn H. |
collection | PubMed |
description | Protein glycosylation is one of the most common posttranslational modifications in mammalian cells. It is involved in many biological pathways and molecular functions and is well suited for proteomics-based disease investigations. Aberrant protein glycosylation may be associated with disease processes. Specific glycoforms of glycoproteins may serve as potential biomarkers for the early detection of disease or as biomarkers for the evaluation of therapeutic efficacy for treatment of cancer, diabetes, and other diseases. Recent technological developments, including lectin affinity chromatography and mass spectrometry, have provided researchers the ability to obtain detailed information concerning protein glycosylation. These in-depth investigations, including profiling and quantifying glycoprotein expression, as well as comprehensive glycan structural analyses may provide important information leading to the development of disease-related biomarkers. This paper describes methodologies for the detection of cancer-related glycoprotein and glycan structural alterations and briefly summarizes several current cancer-related findings. |
format | Online Article Text |
id | pubmed-3195811 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-31958112011-11-14 Glycoproteomics-Based Identification of Cancer Biomarkers Kim, Evelyn H. Misek, David E. Int J Proteomics Review Article Protein glycosylation is one of the most common posttranslational modifications in mammalian cells. It is involved in many biological pathways and molecular functions and is well suited for proteomics-based disease investigations. Aberrant protein glycosylation may be associated with disease processes. Specific glycoforms of glycoproteins may serve as potential biomarkers for the early detection of disease or as biomarkers for the evaluation of therapeutic efficacy for treatment of cancer, diabetes, and other diseases. Recent technological developments, including lectin affinity chromatography and mass spectrometry, have provided researchers the ability to obtain detailed information concerning protein glycosylation. These in-depth investigations, including profiling and quantifying glycoprotein expression, as well as comprehensive glycan structural analyses may provide important information leading to the development of disease-related biomarkers. This paper describes methodologies for the detection of cancer-related glycoprotein and glycan structural alterations and briefly summarizes several current cancer-related findings. Hindawi Publishing Corporation 2011 2011-09-28 /pmc/articles/PMC3195811/ /pubmed/22084691 http://dx.doi.org/10.1155/2011/601937 Text en Copyright © 2011 E. H. Kim and D. E. Misek. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Review Article Kim, Evelyn H. Misek, David E. Glycoproteomics-Based Identification of Cancer Biomarkers |
title | Glycoproteomics-Based Identification of Cancer Biomarkers |
title_full | Glycoproteomics-Based Identification of Cancer Biomarkers |
title_fullStr | Glycoproteomics-Based Identification of Cancer Biomarkers |
title_full_unstemmed | Glycoproteomics-Based Identification of Cancer Biomarkers |
title_short | Glycoproteomics-Based Identification of Cancer Biomarkers |
title_sort | glycoproteomics-based identification of cancer biomarkers |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3195811/ https://www.ncbi.nlm.nih.gov/pubmed/22084691 http://dx.doi.org/10.1155/2011/601937 |
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