Evidence map›Paper›PMID 42230335›Full record

ArticleACS chemical biology2026

Synthesis and Application of a Suite of 2,5-Aryl Tetrazole Photoaffinity-Based Probes for Profiling Microbial Carbohydrate and Mucin Metabolism in Gut Microbiota.

Jack Russo, LaRae A Hudson, Tulasi Rao Relangi, Abigail R Pitts, Aaron T Wright

Abstract read
In one paragraph

Article in ACS 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

5 authors.

Jack RussoDepartment of Chemistry & Biochemistry, Baylor University, Waco, Texas76706, United States.
LaRae A HudsonDepartment of Biology, Baylor University, Waco, Texas76706, United States.
Tulasi Rao RelangiDepartment of Biology, Baylor University, Waco, Texas76706, United States.
Abigail R PittsDepartment of Biology, Baylor University, Waco, Texas76706, United States.ORCID 0009-0006-7380-5426
Aaron T WrightDepartment of Chemistry & Biochemistry, Baylor University, Waco, Texas76706, United States.ORCID 0000-0002-3172-5253

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photoaffinity-based chemoproteomics provides a strategy for interrogating protein engagement and networks within complex biological systems. In the context of carbohydrate metabolism, however, linking the probe structure to glycan-processing networks remains challenging due to the diversity and redundancy of carbohydrate-active enzymes (CAZymes). Here, we employ 2,5-tetrazoles as photoreactive groups to develop a suite of monosaccharide-bearing probes designed to capture carbohydrate-associated protein environments in gut microorganisms. Across defined bacterial cultures and human fecal lysates, tetrazole probes enriched glycoside hydrolases (GHs) and additional carbohydrate-associated proteins, including transporters and regulatory elements. Notably, enrichment profiles were functionally biased toward glycan-processing modules, despite minimal shifts in global protein abundance under different growth conditions. These findings demonstrate that tetrazole chemoproteomics complements abundance-based proteomics by reporting on glycan-associated protein engagement and organization. Together, this probe suite provides a substrate-centric approach to studying carbohydrate-processing networks in defined microbes and complex microbiomes.

Indexed as

Carbohydrate MetabolismGastrointestinal MicrobiomeMucinsPhotoaffinity LabelsTetrazolesGlycoside HydrolasesHumansProteomicsGlycoside HydrolasesMucinsPhotoaffinity LabelsTetrazoles

Identifiers

PMID42230335
PMCPMC13288462

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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.