ArticleNature communications2021
Correcting for sparsity and interdependence in glycomics by accounting for glycan biosynthesis.
Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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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
24 citing papers in PubMed, 40 citations in OpenAlex.
- Article
- LeGenD: High-throughput N-glycan profiling using explainable AI and lectin profiling.The Journal of biological chemistry · 2026Article
- Delineating the Transcriptional and Phenotypic Impact from Biotherapeutic Glycoengineering.bioRxiv : the preprint server for biology · 2026Article
- GlycanGT: a pretrained graph transformer framework for glycan graph representation and generative learning.Bioinformatics (Oxford, England) · 2026Article
- Understanding glycan structure and function through artificial intelligence.BBA advances · 2026Review
- GlycoTraitR: an R package for characterizing structural heterogeneity in N-linked glycoproteomics data.Bioinformatics advances · 2026Article
- Recent advances in analytical methods and bioinformatic tools for quantitative glycomics.Analytical and bioanalytical chemistry · 2025Review
- GlyCompute: towards the automated analysis of protein N-linked glycosylation kinetics via an open-source computational framework.Analytical and bioanalytical chemistry · 2025Article
- Deciphering disease through glycan codes: leveraging lectin microarrays for clinical insights.Acta biochimica et biophysica Sinica · 2024Review
- In silico simulation of glycosylation and related pathways.Analytical and bioanalytical chemistry · 2024Review
- Predicting glycan structure from tandem mass spectrometry via deep learning.Nature methods · 2024Article
- Decoding glycosylation potential from protein structure across human glycoproteins with a multi-view recurrent neural network.bioRxiv : the preprint server for biology · 2024Article
- LeGenD: determining N-glycoprofiles using an explainable AI-leveraged model with lectin profiling.bioRxiv : the preprint server for biology · 2024Article
- Unveiling Glucosinolate Diversity inAntioxidants (Basel, Switzerland) · 2024Article
- Soft-sensor model development for CHO growth/production, intracellular metabolite, and glycan predictions.Frontiers in molecular biosciences · 2024Article
- Decoding glycomics with a suite of methods for differential expression analysis.Cell reports methods · 2023Article
- Glycosaminoglycans: What Remains To Be Deciphered?JACS Au · 2023Review
- Animal Age Affects the Gut Microbiota and Immune System in Captive Koalas (Microbiology spectrum · 2023Article
- Lipid network and moiety analysis for revealing enzymatic dysregulation and mechanistic alterations from lipidomics data.Briefings in bioinformatics · 2023Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 2 countries.
Funding
Abstract
Glycans are fundamental cellular building blocks, involved in many organismal functions. Advances in glycomics are elucidating the essential roles of glycans. Still, it remains challenging to properly analyze large glycomics datasets, since the abundance of each glycan is dependent on many other glycans that share many intermediate biosynthetic steps. Furthermore, the overlap of measured glycans can be low across samples. We address these challenges with GlyCompare, a glycomic data analysis approach that accounts for shared biosynthetic steps for all measured glycans to correct for sparsity and non-independence in glycomics, which enables direct comparison of different glycoprofiles and increases statistical power. Using GlyCompare, we study diverse N-glycan profiles from glycoengineered erythropoietin. We obtain biologically meaningful clustering of mutant cell glycoprofiles and identify knockout-specific effects of fucosyltransferase mutants on tetra-antennary structures. We further analyze human milk oligosaccharide profiles and find mother's fucosyltransferase-dependent secretor-status indirectly impact the sialylation. Finally, we apply our method on mucin-type O-glycans, gangliosides, and site-specific compositional glycosylation data to reveal tissues and disease-specific glycan presentations. Our substructure-oriented approach will enable researchers to take full advantage of the growing power and size of glycomics data.
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What 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.