The transcriptional landscape of glycosylation-related genes in cancer
Summary: Changes in glycosylation patterns have been associated with malignant transformation and clinical outcomes in several cancer types, prompting ongoing research into the mechanisms involved and potential clinical applications. In this study, we performed an extensive transcriptomic analysis o...
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Format: | Article |
Language: | English |
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Elsevier
2024-03-01
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Series: | iScience |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S258900422400258X |
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author | Ernesto Rodriguez Dimitri V. Lindijer Sandra J. van Vliet Juan J. Garcia Vallejo Yvette van Kooyk |
author_facet | Ernesto Rodriguez Dimitri V. Lindijer Sandra J. van Vliet Juan J. Garcia Vallejo Yvette van Kooyk |
author_sort | Ernesto Rodriguez |
collection | DOAJ |
description | Summary: Changes in glycosylation patterns have been associated with malignant transformation and clinical outcomes in several cancer types, prompting ongoing research into the mechanisms involved and potential clinical applications. In this study, we performed an extensive transcriptomic analysis of glycosylation-related genes and pathways, using publicly available bulk and single cell transcriptomic datasets from tumor samples and cancer cell lines. We identified genes and pathways strongly associated with different tumor types, which may represent novel diagnostic biomarkers. By using single cell RNA-seq data, we characterized the contribution of different cell types to the overall tumor glycosylation. Transcriptomic analysis of cancer cell lines revealed that they present a simplified landscape of genes compared to tissue. Lastly, we describe the association of different genes and pathways with the clinical outcome of patients. These results can serve as a resource for future research aimed to unravel the role of the glyco-code in cancer. |
first_indexed | 2024-03-08T00:09:21Z |
format | Article |
id | doaj.art-9d2bd95a3952445a95f863798e4ae5eb |
institution | Directory Open Access Journal |
issn | 2589-0042 |
language | English |
last_indexed | 2024-03-08T00:09:21Z |
publishDate | 2024-03-01 |
publisher | Elsevier |
record_format | Article |
series | iScience |
spelling | doaj.art-9d2bd95a3952445a95f863798e4ae5eb2024-02-17T06:42:03ZengElsevieriScience2589-00422024-03-01273109037The transcriptional landscape of glycosylation-related genes in cancerErnesto Rodriguez0Dimitri V. Lindijer1Sandra J. van Vliet2Juan J. Garcia Vallejo3Yvette van Kooyk4Amsterdam UMC Location Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Institute for Immunology and Infectious Diseases, Cancer Immunology, Amsterdam, the Netherlands; Corresponding authorAmsterdam UMC Location Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Institute for Immunology and Infectious Diseases, Cancer Immunology, Amsterdam, the NetherlandsAmsterdam UMC Location Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Institute for Immunology and Infectious Diseases, Cancer Immunology, Amsterdam, the NetherlandsAmsterdam UMC Location Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Institute for Immunology and Infectious Diseases, Cancer Immunology, Amsterdam, the NetherlandsAmsterdam UMC Location Vrije Universiteit Amsterdam, Molecular Cell Biology and Immunology, De Boelelaan 1117, Amsterdam, the Netherlands; Cancer Center Amsterdam, Cancer Biology and Immunology, Amsterdam, the Netherlands; Amsterdam Institute for Immunology and Infectious Diseases, Cancer Immunology, Amsterdam, the Netherlands; Corresponding authorSummary: Changes in glycosylation patterns have been associated with malignant transformation and clinical outcomes in several cancer types, prompting ongoing research into the mechanisms involved and potential clinical applications. In this study, we performed an extensive transcriptomic analysis of glycosylation-related genes and pathways, using publicly available bulk and single cell transcriptomic datasets from tumor samples and cancer cell lines. We identified genes and pathways strongly associated with different tumor types, which may represent novel diagnostic biomarkers. By using single cell RNA-seq data, we characterized the contribution of different cell types to the overall tumor glycosylation. Transcriptomic analysis of cancer cell lines revealed that they present a simplified landscape of genes compared to tissue. Lastly, we describe the association of different genes and pathways with the clinical outcome of patients. These results can serve as a resource for future research aimed to unravel the role of the glyco-code in cancer.http://www.sciencedirect.com/science/article/pii/S258900422400258XBiochemistryCancer systems biologyTranscriptomics |
spellingShingle | Ernesto Rodriguez Dimitri V. Lindijer Sandra J. van Vliet Juan J. Garcia Vallejo Yvette van Kooyk The transcriptional landscape of glycosylation-related genes in cancer iScience Biochemistry Cancer systems biology Transcriptomics |
title | The transcriptional landscape of glycosylation-related genes in cancer |
title_full | The transcriptional landscape of glycosylation-related genes in cancer |
title_fullStr | The transcriptional landscape of glycosylation-related genes in cancer |
title_full_unstemmed | The transcriptional landscape of glycosylation-related genes in cancer |
title_short | The transcriptional landscape of glycosylation-related genes in cancer |
title_sort | transcriptional landscape of glycosylation related genes in cancer |
topic | Biochemistry Cancer systems biology Transcriptomics |
url | http://www.sciencedirect.com/science/article/pii/S258900422400258X |
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