Evidence map›Paper›PMID 35653954›Full record

ReviewCurrent opinion in structural biology2022

Reading the glyco-code: New approaches to studying protein-carbohydrate interactions.

Simon Wisnovsky, Carolyn R Bertozzi

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Decoding Galectin-Glycan Recognition withJournal of the American Chemical Society · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Defined Glycan Ligands for Detecting Rare l-Sugar-Binding Proteins.Journal of the American Chemical Society · 2025
    Article
  16. Review
  17. Article
  18. Quantitative proteome-wide O-glycoproteomics analysis with FragPipe.Analytical and bioanalytical chemistry · 2025
    Article
  19. Article
  20. Article
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.

Simon WisnovskyFaculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, V6T 1Z3, Canada. Electronic address: simon.wisnovsky@ubc.ca.
Carolyn R BertozziDepartment of Chemistry, Stanford University, Stanford, CA, 94305, USA; Howard Hughes Medical Institute, Stanford, CA, 94305, USA. Electronic address: bertozzi@stanford.edu.

Funding

Targeting the Cancer GlycocalyxR01CA227942 · NCI · STANFORD UNIVERSITY · PI Carolyn Bertozzi · 2019 to 2026
$3.6M
CIHRHoward Hughes Medical InstituteNCI NIH HHS R01 CA227942
6 · The paper itself

Abstract

The surface of all living cells is decorated with carbohydrate molecules. Hundreds of functional proteins bind to these glycosylated ligands; such binding events subsequently modulate many aspects of protein and cell function. Identifying ligands for glycan-binding proteins (GBPs) is a defining challenge of glycoscience research. Here, we review recent advances that are allowing protein-carbohydrate interactions to be dissected with an unprecedented level of precision. We specifically highlight how cell-based glycan arrays and glyco-genomic profiling are being used to define the structural determinants of glycan-protein interactions in living cells. Going forward, these methods create exciting new opportunities for the study of glycans in physiology and disease.

Indexed as

CarbohydratesPolysaccharidesLigandsProtein BindingProteinsCarbohydratesLigandsPolysaccharidesProteins

Identifiers

PMID35653954
PMCPMC9811956

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.