Evidence map›Paper›PMID 40750751›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2025

Toward On-Cell NMR Studies of Glycan-Protein Interactions.

Ana Gimeno, Ana Ardá, June Ereño-Orbea, Sara Bertuzzi, Luca Unione, Jesús Jiménez-Barbero

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Article in Methods in molecular biology (Clifton, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Ana GimenoCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain. jjbarbero@cicbiogune.es.
Ana ArdáCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain.
June Ereño-OrbeaCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain.
Sara BertuzziCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain.
Luca UnioneCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain.
Jesús Jiménez-BarberoCenter for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance (BRTA), Derio, Bizkaia, Spain. jjbarbero@cicbiogune.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycan-mediated molecular recognition is crucial for life. Various methodologies, including nuclear magnetic resonance (NMR), help elucidate these interactions across different complexity levels, from macroscopic to atomic resolution. NMR is widely used to study glycan binding to lectins in solution, though these interactions are typically weak (mM to μM scale) under diluted conditions. In nature, multivalent presentations enhance affinity, making interactions more promiscuous.Herein, we describe an NMR methodology, from the ligand perspective, to investigate glycan-lectin interactions in environments mimicking native cellular conditions. For lectins primarily found on cell surfaces, saturation transfer difference (STD)-NMR was used to examine interactions.This NMR methodology provides a proof of concept for studying glycan-lectin interactions in biologically relevant environments. The ability to detect glycan recognition events on the cell surface expands our understanding of these essential interactions and their implications for biomedical applications, including cancer immunotherapy.

Indexed as

LectinsNuclear Magnetic Resonance, BiomolecularPolysaccharidesHumansLigandsMagnetic Resonance SpectroscopyProtein BindingLectinsLigandsPolysaccharidesGlycomimeticsMolecular recognitionOn-cell NMRSiglecs

Identifiers

PMID40750751

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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.