Evidence map›Paper›PMID 33608275›Full record

ArticleScience advances2021

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

Conor J Kearney, Stephin J Vervoort, Kelly M Ramsbottom, Izabela Todorovski, Emily J Lelliott, Magnus Zethoven, Lizzy Pijpers, Ben P Martin, Timothy Semple, Luciano Martelotto and 5 more

Abstract read
In one paragraph

Article in Science advances, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

54 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors.

Conor J KearneyTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia. ricky.johnstone@petermac.org conor.kearney@petermac.org jane.oliaro@petermac.org.ORCID 0000-0002-9891-5078
Stephin J VervoortTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0001-7459-126X
Kelly M RamsbottomCancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0001-6945-4797
Izabela TodorovskiTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0002-9488-7508
Emily J LelliottCancer Immunology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.
Magnus ZethovenTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0002-6528-891X
Lizzy PijpersTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0002-7745-6108
Ben P MartinTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.
Timothy SempleTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia.ORCID 0000-0002-4048-1553
Luciano MartelottoCentre for Cancer Research, University of Melbourne, Melbourne 3000, VIC, Australia.ORCID 0000-0002-9625-1183
Joseph A TrapaniSir Peter MacCallum Department of Oncology, University of Melbourne, Victoria 3010, Australia.
Ian A ParishSir Peter MacCallum Department of Oncology, University of Melbourne, Victoria 3010, Australia.ORCID 0000-0003-3528-478X
Nichollas E ScottDepartment of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne 3000, Australia.ORCID 0000-0003-2556-8316
Jane OliaroSir Peter MacCallum Department of Oncology, University of Melbourne, Victoria 3010, Australia. ricky.johnstone@petermac.org conor.kearney@petermac.org jane.oliaro@petermac.org.ORCID 0000-0002-2097-6428
Ricky W JohnstoneTranslational Haematology Program, Peter MacCallum Cancer Centre, Melbourne, Victoria 3000, Australia. ricky.johnstone@petermac.org conor.kearney@petermac.org jane.oliaro@petermac.org.ORCID 0000-0001-7053-9237

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID33608275
PMCPMC7895430

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.