Evidence map›Paper›PMID 32325029›Full record

ArticleMolecular cell2020

Bump-and-Hole Engineering Identifies Specific Substrates of Glycosyltransferases in Living Cells.

Benjamin Schumann, Stacy Alyse Malaker, Simon Peter Wisnovsky, Marjoke Froukje Debets, Anthony John Agbay, Daniel Fernandez, Lauren Jan Sarbo Wagner, Liang Lin, Zhen Li, Junwon Choi and 7 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular cell, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

64 citing papers in PubMed, 117 citations in OpenAlex.

  1. Review
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  7. Iterative Bump-and-Hole Engineering Creates a Bioorthogonal Reporter forJournal of the American Chemical Society · 2026
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  13. Iterative Bump-and-hole engineering creates a bioorthogonal reporter forbioRxiv : the preprint server for biology · 2026
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4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 6 institutions in 2 countries.

Benjamin SchumannDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA; Chemical Glycobiology Laboratory, The Francis Crick Institute, NW1 1AT London, United Kingdom; Department of Chemistry, Imperial College London, W12 0BZ London, United Kingdom. Electronic address: b.schumann@imperial.ac.uk.
Stacy Alyse MalakerDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Simon Peter WisnovskyDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Marjoke Froukje DebetsDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Anthony John AgbayDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Daniel FernandezStanford ChEM-H Macromolecular Structure Knowledge Center, Stanford, CA 94305, USA.
Lauren Jan Sarbo WagnerDepartment of Chemistry, University of California, Berkeley, CA 94720, USA.
Liang LinDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Zhen LiChemical Glycobiology Laboratory, The Francis Crick Institute, NW1 1AT London, United Kingdom; Department of Chemistry, Imperial College London, W12 0BZ London, United Kingdom.
Junwon ChoiDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Douglas Michael FoxDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Jessie PehDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Melissa Anne GrayDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Kayvon PedramDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA.
Jennifer Jean KohlerDepartment of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
Milan MrksichDepartment of Biomedical Engineering, Northwestern University, Evanston, IL 60208, USA.
Carolyn Ruth BertozziDepartment of Chemistry, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford, CA 94305, USA. Electronic address: bertozzi@stanford.edu.
Stanford University · USNorthwestern University · USThe Francis Crick Institute · GBHoward Hughes Medical Institute · USThe University of Texas Southwestern Medical Center · USUniversity of California, Berkeley · US

Funding

Translational Oncology Research Program (Project-005)P30CA124435 · NCI · STANFORD UNIVERSITY · PI Vittorio Sebastiano · 2007 to 2026
$71.4M
X-ray Absorption Spectroscopy (XAS) pp.711-759P41GM103393 · NIGMS · STANFORD UNIVERSITY · PI HODGSON, KEITH O · 2012 to 2019
$30.6M
User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
WOUND HEALINGP50GM021700 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI TOMPKINS, RONALD GARY · 1985 to 2017
$27.2M
CAREER DEVELOPMENT IN DIABETES RESEARCH FOR PEDIATRIC ENDOCRINOLOGISTSK12DK094721 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI LAFFEL, LORI M, WHITE, MORRIS F. · 2011 to 2021
$6.3M
Metabolic Crosstalk During Hepatic Insulin ResistanceR01DK098655 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI WHITE, MORRIS F. · 2013 to 2020
$4.0M
Investigating the Surface GlycoproteomeR01CA200423 · NCI · STANFORD UNIVERSITY · PI Carolyn Bertozzi · 2015 to 2026
$3.8M
STRUCTURE AND FUNCTION OF THE IRS SIGNALING SYSTEMR01DK043808 · NIDDK · JOSLIN DIABETES CENTER · PI WHITE, MORRIS F. · 1991 to 2004
$1.7M
Photocrosslinking probes to discover glycan-dependent interactionsR21DK112733 · NIDDK · UT SOUTHWESTERN MEDICAL CENTER · PI KOHLER, JENNIFER J · 2016 to 2018
$664k
An enzymatic approach to study cancer-associated cell-surface glycoproteins: exploration of mucin-degrading bacterial metalloproteasesF32GM126663 · NIGMS · STANFORD UNIVERSITY · PI MALAKER, STACY ALYSE · 2017 to 2019
$125k
Antibody-fucosidase conjugates as therapy for hepatocellular carcinomaF32CA224985 · NCI · STANFORD UNIVERSITY · PI PEH, JESSIE · 2018 to 2019
$70k
NCI NIH HHS F32 CA224985NCI NIH HHS R01 CA200423NIDDK NIH HHS K12 DK094721NIDDK NIH HHS R01 DK043808NIDDK NIH HHS R01 DK098655NIDDK NIH HHS R21 DK112733NIGMS NIH HHS F32 GM126663NIGMS NIH HHS P30 GM124169NIGMS NIH HHS P41 GM103393NIGMS NIH HHS P50 GM021700Wellcome Trust FC001749
6 · The paper itself

Abstract

Studying posttranslational modifications classically relies on experimental strategies that oversimplify the complex biosynthetic machineries of living cells. Protein glycosylation contributes to essential biological processes, but correlating glycan structure, underlying protein, and disease-relevant biosynthetic regulation is currently elusive. Here, we engineer living cells to tag glycans with editable chemical functionalities while providing information on biosynthesis, physiological context, and glycan fine structure. We introduce a non-natural substrate biosynthetic pathway and use engineered glycosyltransferases to incorporate chemically tagged sugars into the cell surface glycome of the living cell. We apply the strategy to a particularly redundant yet disease-relevant human glycosyltransferase family, the polypeptide N-acetylgalactosaminyl transferases. This approach bestows a gain-of-chemical-functionality modification on cells, where the products of individual glycosyltransferases can be selectively characterized or manipulated to understand glycan contribution to major physiological processes.

Indexed as

Biosynthetic PathwaysCell MembraneGlycosylationGlycosyltransferasesHEK293 CellsHep G2 CellsHumansK562 CellsN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferasePolysaccharidesProtein EngineeringProteinsGlycosyltransferasesN-AcetylgalactosaminyltransferasesPolypeptide N-acetylgalactosaminyltransferasePolysaccharidesProteinsbioorthogonalchemical proteomicsglycosyltransferaseisoenzymemucinO-glycosylation

Identifiers

PMID32325029
PMCPMC7276986
OpenAlexW3020437909

What OpenQuestion holds

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Registered trials

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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.