Evidence map›Paper›PMID 40167164›Full record

ArticleJournal of the American Chemical Society2025

Defined Glycan Ligands for Detecting Rare l-Sugar-Binding Proteins.

Hanee Kim, Tania J Lupoli

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

2 authors.

Hanee KimDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0001-6036-2028
Tania J LupoliDepartment of Chemistry, New York University, New York, New York 10003, United States.ORCID 0000-0002-0989-2565

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
Probing Glycan Polymer Patterns on Bacterial Cell SurfacesR35GM142887 · NIGMS · NEW YORK UNIVERSITY · PI LUPOLI, TANIA · 2021 to 2025
$2.1M
NCI NIH HHS P30 CA016087NIGMS NIH HHS R35 GM142887
6 · The paper itself

Abstract

Most cells are decorated with distinct sugar sequences that can be recognized by carbohydrate-binding proteins (CBPs), such as antibodies and lectins. While humans utilize ten monosaccharide building blocks, bacteria biosynthesize hundreds of activated sugars to assemble diverse glycans. Monosaccharides absent in mammals are termed "rare" and are enriched in deoxy l-sugars beyond the "common" sugar l-fucose (l-Fuc) found across species. While immune proteins recognize microbial surfaces, there are limited probes to identify CBPs for the many rare sugars that may mediate these interactions. Here, we devise chemoenzymatic strategies to defined glycoconjugates containing l-Fuc and its structural analog l-colitose (l-Col), a bacterial dideoxysugar believed to bind immune proteins. We report a concise synthesis of l-Col and semisynthetic routes to several activated l-sugars. Incorporation of these sugars into glycans is evaluated using bacterial and mammalian glycosyltransferases (GTs) annotated to transfer l-Col or l-Fuc, respectively. We find that each GT can transfer both l-sugars, along with the rare hexose l-galactose (l-Gal), onto various glycan acceptors. Incorporation of these l-sugars into the resulting glycoconjugates is confirmed using known CBPs. Finally, these glycan ligands are employed to detect rare sugar-binding proteins in human serum. Overall, this work reveals similarities between bacterial and mammalian GTs that may be exploited for

Indexed as

FucosePolysaccharidesGlycosyltransferasesHumansLigandsReceptors, Cell SurfaceFucoseGlycosyltransferasesLigandsPolysaccharidesReceptors, Cell Surfacesaccharide-binding proteins

Identifiers

PMID40167164
PMCPMC11987014

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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.