ReviewNature chemical biology2026
Large glycomics datasets as a tool to understand the function of glycans.
Review in Nature chemical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Heparan Sulfate Proteoglycans: Master Regulators of Cellular Signaling, Tissue Development, and Neural Function.Journal of neuroscience research · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Historically, glycomics has lagged behind other omics fields, owing to analytical challenges. However, recent technological advances are rapidly transforming the field, enabling a growing number of large-scale studies to harness the wealth of information encoded by glycans. In this Review, we provide an overview of the current state of large-scale glycomics and its role in understanding the functional importance of glycans. We discuss the main challenges in high-throughput glycoanalytical methods and highlight recent progress, with a particular emphasis on standardization and reproducibility. Special attention is given to the necessity of large, well-designed and ideally longitudinal and multicohort studies that use rigorous statistical approaches to uncover robust biological associations. Finally, we conclude with selected applications and perspectives, emphasizing the potential of large-scale glycomics to drive biomarker discovery and enhance the understanding of glycan-mediated biology.
Indexed as
Identifiers
42174228What OpenQuestion holds
Registered trials
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.