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Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines

In cancer cells, cell-surface sialylation is altered, including a change in oligo/polysialic acid (oligo/polySia) structures. Since they are unique and rarely expressed in normal cells, oligo/polySia structures may serve as promising novel biomarkers and targets for therapies. For the diagnosis and...

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Detalles Bibliográficos
Autores principales: Hane, Masaya, Kitajima, Ken, Sato, Chihiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147586/
https://www.ncbi.nlm.nih.gov/pubmed/35628382
http://dx.doi.org/10.3390/ijms23105569
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author Hane, Masaya
Kitajima, Ken
Sato, Chihiro
author_facet Hane, Masaya
Kitajima, Ken
Sato, Chihiro
author_sort Hane, Masaya
collection PubMed
description In cancer cells, cell-surface sialylation is altered, including a change in oligo/polysialic acid (oligo/polySia) structures. Since they are unique and rarely expressed in normal cells, oligo/polySia structures may serve as promising novel biomarkers and targets for therapies. For the diagnosis and treatment of the disease, a precise understanding of the oligo/polySia structures in cancer cells is necessary. In this study, flow cytometric analysis and gene expression datasets were obtained from sixteen different cancer cell lines. These datasets demonstrated the ability to predict glycan structures and their sialylation status. Our results also revealed that sialylation patterns are unique to each cancer cell line. Thus, we can suggest promising combinations of antibody and cancer cell for glycan prediction. However, the precise prediction of minor glycans need to be further explored.
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spelling pubmed-91475862022-05-29 Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines Hane, Masaya Kitajima, Ken Sato, Chihiro Int J Mol Sci Article In cancer cells, cell-surface sialylation is altered, including a change in oligo/polysialic acid (oligo/polySia) structures. Since they are unique and rarely expressed in normal cells, oligo/polySia structures may serve as promising novel biomarkers and targets for therapies. For the diagnosis and treatment of the disease, a precise understanding of the oligo/polySia structures in cancer cells is necessary. In this study, flow cytometric analysis and gene expression datasets were obtained from sixteen different cancer cell lines. These datasets demonstrated the ability to predict glycan structures and their sialylation status. Our results also revealed that sialylation patterns are unique to each cancer cell line. Thus, we can suggest promising combinations of antibody and cancer cell for glycan prediction. However, the precise prediction of minor glycans need to be further explored. MDPI 2022-05-16 /pmc/articles/PMC9147586/ /pubmed/35628382 http://dx.doi.org/10.3390/ijms23105569 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Hane, Masaya
Kitajima, Ken
Sato, Chihiro
Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title_full Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title_fullStr Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title_full_unstemmed Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title_short Comprehensive Analysis of Oligo/Polysialylglycoconjugates in Cancer Cell Lines
title_sort comprehensive analysis of oligo/polysialylglycoconjugates in cancer cell lines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9147586/
https://www.ncbi.nlm.nih.gov/pubmed/35628382
http://dx.doi.org/10.3390/ijms23105569
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