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SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells
Multimodal single-cell RNA sequencing enables the precise mapping of transcriptional and phenotypic features of cellular differentiation states but does not allow for simultaneous integration of critical posttranslational modification data. Here, we describe SUrface-protein Glycan And RNA-seq (SUGAR...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895430/ https://www.ncbi.nlm.nih.gov/pubmed/33608275 http://dx.doi.org/10.1126/sciadv.abe3610 |
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author | Kearney, Conor J. Vervoort, Stephin J. Ramsbottom, Kelly M. Todorovski, Izabela Lelliott, Emily J. Zethoven, Magnus Pijpers, Lizzy Martin, Ben P. Semple, Timothy Martelotto, Luciano Trapani, Joseph A. Parish, Ian A. Scott, Nichollas E. Oliaro, Jane Johnstone, Ricky W. |
author_facet | Kearney, Conor J. Vervoort, Stephin J. Ramsbottom, Kelly M. Todorovski, Izabela Lelliott, Emily J. Zethoven, Magnus Pijpers, Lizzy Martin, Ben P. Semple, Timothy Martelotto, Luciano Trapani, Joseph A. Parish, Ian A. Scott, Nichollas E. Oliaro, Jane Johnstone, Ricky W. |
author_sort | Kearney, Conor J. |
collection | PubMed |
description | Multimodal single-cell RNA sequencing enables the precise mapping of transcriptional and phenotypic features of cellular differentiation states but does not allow for simultaneous integration of critical posttranslational modification data. Here, we describe SUrface-protein Glycan And RNA-seq (SUGAR-seq), a method that enables detection and analysis of N-linked glycosylation, extracellular epitopes, and the transcriptome at the single-cell level. Integrated SUGAR-seq and glycoproteome analysis identified tumor-infiltrating T cells with unique surface glycan properties that report their epigenetic and functional state. |
format | Online Article Text |
id | pubmed-7895430 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-78954302021-02-26 SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells Kearney, Conor J. Vervoort, Stephin J. Ramsbottom, Kelly M. Todorovski, Izabela Lelliott, Emily J. Zethoven, Magnus Pijpers, Lizzy Martin, Ben P. Semple, Timothy Martelotto, Luciano Trapani, Joseph A. Parish, Ian A. Scott, Nichollas E. Oliaro, Jane Johnstone, Ricky W. Sci Adv Research Articles Multimodal single-cell RNA sequencing enables the precise mapping of transcriptional and phenotypic features of cellular differentiation states but does not allow for simultaneous integration of critical posttranslational modification data. Here, we describe SUrface-protein Glycan And RNA-seq (SUGAR-seq), a method that enables detection and analysis of N-linked glycosylation, extracellular epitopes, and the transcriptome at the single-cell level. Integrated SUGAR-seq and glycoproteome analysis identified tumor-infiltrating T cells with unique surface glycan properties that report their epigenetic and functional state. American Association for the Advancement of Science 2021-02-19 /pmc/articles/PMC7895430/ /pubmed/33608275 http://dx.doi.org/10.1126/sciadv.abe3610 Text en Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/ https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Kearney, Conor J. Vervoort, Stephin J. Ramsbottom, Kelly M. Todorovski, Izabela Lelliott, Emily J. Zethoven, Magnus Pijpers, Lizzy Martin, Ben P. Semple, Timothy Martelotto, Luciano Trapani, Joseph A. Parish, Ian A. Scott, Nichollas E. Oliaro, Jane Johnstone, Ricky W. SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title | SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title_full | SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title_fullStr | SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title_full_unstemmed | SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title_short | SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
title_sort | sugar-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7895430/ https://www.ncbi.nlm.nih.gov/pubmed/33608275 http://dx.doi.org/10.1126/sciadv.abe3610 |
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