Evidence map›Paper›PMID 25202310›Full record

ArticleFrontiers in immunology2014

Differential site accessibility mechanistically explains subcellular-specific N-glycosylation determinants.

Ling Yen Lee, Chi-Hung Lin, Susan Fanayan, Nicolle H Packer, Morten Thaysen-Andersen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

36 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Iterative Bump-and-Hole Engineering Creates a Bioorthogonal Reporter forJournal of the American Chemical Society · 2026
    Article
  3. Iterative Bump-and-hole engineering creates a bioorthogonal reporter forbioRxiv : the preprint server for biology · 2026
    Article
  4. Quantitative Modeling of IgG N-Glycosylation Profiles from Population Data.International journal of molecular sciences · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Glycoproteome remodeling and organelle-specificProceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  10. Article
  11. ProfoundFrontiers in immunology · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Method for Identifying Galectin Ligands on Lymphocyte Membrane Glycoproteins.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Removal of Mannose-Ending Glycan at AsnFrontiers in immunology · 2020
    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

5 authors at 1 institution in 1 country.

Ling Yen LeeDepartment of Chemistry and Biomolecular Sciences, Biomolecular Frontiers Research Centre, Macquarie University , Sydney, NSW , Australia.
Chi-Hung LinDepartment of Chemistry and Biomolecular Sciences, Biomolecular Frontiers Research Centre, Macquarie University , Sydney, NSW , Australia.
Susan FanayanDepartment of Chemistry and Biomolecular Sciences, Biomolecular Frontiers Research Centre, Macquarie University , Sydney, NSW , Australia.
Nicolle H PackerDepartment of Chemistry and Biomolecular Sciences, Biomolecular Frontiers Research Centre, Macquarie University , Sydney, NSW , Australia.
Morten Thaysen-AndersenDepartment of Chemistry and Biomolecular Sciences, Biomolecular Frontiers Research Centre, Macquarie University , Sydney, NSW , Australia.
Macquarie University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glycoproteins perform extra- and intracellular functions in innate and adaptive immunity by lectin-based interactions to exposed glyco-determinants. Herein, we document and mechanistically explain the formation of subcellular-specific N-glycosylation determinants on glycoproteins trafficking through the shared biosynthetic machinery of human cells. LC-MS/MS-based quantitative glycomics showed that the secreted glycoproteins of eight human breast epithelial cells displaying diverse geno- and phenotypes consistently displayed more processed, primarily complex type, N-glycans than the high-mannose-rich microsomal glycoproteins. Detailed subcellular glycome profiling of proteins derived from three breast cell lines (MCF7/MDA468/MCF10A) demonstrated that secreted glycoproteins displayed significantly more α-sialylation and α1,6-fucosylation, but less α-mannosylation, than both the intermediately glycan-processed cell-surface glycoproteomes and the under-processed microsomal glycoproteomes. Subcellular proteomics and gene ontology revealed substantial presence of endoplasmic reticulum resident glycoproteins in the microsomes and confirmed significant enrichment of secreted and cell-surface glycoproteins in the respective subcellular fractions. The solvent accessibility of the glycosylation sites on maturely folded proteins of the 100 most abundant putative N-glycoproteins observed uniquely in the three subcellular glycoproteomes correlated with the glycan type processing thereby mechanistically explaining the formation of subcellular-specific N-glycosylation. In conclusion, human cells have developed mechanisms to simultaneously and reproducibly generate subcellular-specific N-glycosylation using a shared biosynthetic machinery. This aspect of protein-specific glycosylation is important for structural and functional glycobiology and discussed here in the context of the spatio-temporal interaction of glyco-determinants with lectins central to infection and immunity.

Indexed as

glycoproteinglycoproteomeglycosylation siteN-glycanN-glycomeN-glycosylationsolvent accessibilitysubcellular location

Identifiers

PMID25202310
PMCPMC4142333
OpenAlexW2159980108

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.