Evidence map›Paper›PMID 27900575›Full record

ReviewGlycoconjugate journal2017

Glycosaminoglycanomics: where we are.

Sylvie Ricard-Blum, Frédérique Lisacek

Abstract readReview
PubMed Publisher
In one paragraph

Review in Glycoconjugate journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

27 citing papers in PubMed, 45 citations in OpenAlex.

  1. Review
  2. Article
  3. Endothelial glycocalyx glycan expression in lymphatic vasculature in mice.Frontiers in cell and developmental biology · 2026
    Article
  4. Tendinopathy: The Interplay between Mechanical Stress, Inflammation, and Vascularity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. The Key Role of Lysosomal Protease Cathepsins in Viral Infections.International journal of molecular sciences · 2022
    Review
  11. Article
  12. Review
  13. Article
  14. Glycosaminoglycan-Protein Interactions: The First Draft of the Glycosaminoglycan Interactome.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. Nucleotide Sugars in Chemistry and Biology.Molecules (Basel, Switzerland) · 2020
    Review
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

2 authors at 2 institutions in 2 countries.

Sylvie Ricard-BlumInstitut de Chimie et Biochimie Moléculaires et Supramoléculaires, UMR 5246 CNRS - Université Lyon 1, INSA Lyon, CPE Lyon, 69622, Villeurbanne Cedex, France. sylvie.ricard-blum@univ-lyon1.fr.
Frédérique LisacekSIB Swiss Institute of Bioinformatics, 1 Rue Michel-Servet, 1211, Geneva, Switzerland.
Institut National des Sciences Appliquées de Lyon · FRSIB Swiss Institute of Bioinformatics · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycosaminoglycans regulate numerous physiopathological processes such as development, angiogenesis, innate immunity, cancer and neurodegenerative diseases. Cell surface GAGs are involved in cell-cell and cell-matrix interactions, cell adhesion and signaling, and host-pathogen interactions. GAGs contribute to the assembly of the extracellular matrix and heparan sulfate chains are able to sequester growth factors in the ECM. Their biological activities are regulated by their interactions with proteins. The structural heterogeneity of GAGs, mostly due to chemical modifications occurring during and after their synthesis, makes the development of analytical techniques for their profiling in cells, tissues, and biological fluids, and of computational tools for mining GAG-protein interaction data very challenging. We give here an overview of the experimental approaches used in glycosaminoglycomics, of the major GAG-protein interactomes characterized so far, and of the computational tools and databases available to analyze and store GAG structures and interactions.

Indexed as

AnimalsCell CommunicationChromatographyComputational BiologyDatabases, ChemicalEukaryotic CellsExtracellular MatrixGlycomicsHeparan SulfateHost-Pathogen InteractionsHumansIntercellular Signaling Peptides and ProteinsMagnetic Resonance SpectroscopyMass SpectrometryProtein BindingHeparan SulfateIntercellular Signaling Peptides and ProteinsBioinformaticsDatabasesGlycosaminoglycan-protein interactionGlycosaminoglycomicsHeparanomeInteraction networks

Identifiers

PMID27900575
OpenAlexW2559158649

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.