Evidence map›Paper›PMID 42664701›Full record

ReviewCurrent opinion in chemical biology2026

Chemical biology tools for the O-GlcNAc modification: Determining systems-level functions and druggability.

Charlie Fehl

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Charlie FehlDepartment of Chemistry, Wayne State University, Detroit, MI, United States. Electronic address: charlie.fehl@wayne.edu.

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI PAUL M STEMMER · 1985 to 2026
$68.4M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DAVID P OLSON · 2013 to 2026
$24.3M
Spatiotemporal tools to interrogate O-GlcNAc functions in metabolic signaling and diseaseR35GM142637 · NIGMS · WAYNE STATE UNIVERSITY · PI Charlie Fehl · 2021 to 2026
$2.6M
NCI NIH HHS P30 CA022453NIDDK NIH HHS P30 DK020572NIGMS NIH HHS R35 GM142637
6 · The paper itself

Abstract

How can a single monosaccharide control nearly every human cellular feature? This question has hounded the O-GlcNAc field since 1984. Despite identifying thousands of O-GlcNAc proteins, high-throughput datasets have only deepened the mystery. This Current Opinion highlights chemical biology tools (current as of 2023-2026) that reveal coordinated O-GlcNAc networks in physiology and disease. We review five areas: (1) systems-level maps of tissue-specific OGT interactomes and substrates; (2) spatiotemporal tools for precise glycosylation manipulation; (3) multiplexed detection assays for O-GlcNAc activities alongside other PTMs; (4) targeted modulation via nontraditional inhibitors, noncatalytic OGT scaffolding, and ligand-directed assembly; and (5) disease models uncovering tissue-specific effects. Recent OGA inhibitor clinical challenges in Phase 1 and 2 studies pose existential questions about drugging O-GlcNAc, but recent advances covered in this Opinion propose insights for safe therapeutic targeting. Through the lens of new chemical biology tools, we see detailed patterns in how nutrient-responsive O-GlcNAcylation subtly regulates cellular decision-making.

Indexed as

AcetylglucosamineN-AcetylglucosaminyltransferasesAnimalsGlycosylationHumansProtein Processing, Post-TranslationalAcetylglucosamineN-Acetylglucosaminyltransferases

Identifiers

PMID42664701
PMCPMC13528603

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.