SUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells

Simple item page
dc.contributor.authorKearney, C.J.
dc.contributor.authorVervoort, S.J.
dc.contributor.authorRamsbottom, K.M.
dc.contributor.authorTodorovski, I.
dc.contributor.authorLelliott, E.J.
dc.contributor.authorZethoven, M.
dc.contributor.authorPijpers, L.
dc.contributor.authorMartin, B.P.
dc.contributor.authorSemple, T.
dc.contributor.authorMartelotto, L.
dc.contributor.authorTrapani, J.A.
dc.contributor.authorParish, I.A.
dc.contributor.authorScott, N.E.
dc.contributor.authorOliaro, J.
dc.contributor.authorJohnstone, R.W.
dc.date.issued2021
dc.description.abstractMultimodal 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.
dc.description.statementofresponsibilityConor J. Kearney, Stephin J. Vervoort, Kelly M. Ramsbottom, Izabela Todorovski, Emily J. Lelliott, Magnus Zethoven, Lizzy Pijpers, Ben P. Martin, Timothy Semple, Luciano Martelotto, Joseph A. Trapani, Ian A. Parish, Nichollas E. Scott, Jane Oliaro, Ricky W. Johnstone
dc.identifier.citationScience Advances, 2021; 7(8):eabe3610-1-eabe3610-12
dc.identifier.doi10.1126/sciadv.abe3610
dc.identifier.issn2375-2548
dc.identifier.issn2375-2548
dc.identifier.orcidMartelotto, L. [0000-0002-9625-1183]
dc.identifier.urihttps://hdl.handle.net/2440/134538
dc.language.isoen
dc.publisherAmerican Association for the Advancement of Science
dc.relation.grantNHMRC
dc.rights© 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/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, 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.
dc.source.urihttps://doi.org/10.1126/sciadv.abe3610
dc.titleSUGAR-seq enables simultaneous detection of glycans, epitopes, and the transcriptome in single cells
dc.typeJournal article
pubs.publication-statusPublished

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
hdl_134538.pdf
Size:
4.23 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download

Collections

Medicine publications