Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 173

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Quantification of O-glycosylation stoichiometry and dynamics using resolvable mass tags

Open access
Rexach, Jessica E, Rogers, Claude J, Yu, Seok-Ho, Tao, Jifang, Sun, Yi E, Hsieh-Wilson, Linda C·2010·Nature Chemical Biology

Abstract

Mechanistic studies of O-GlcNAc glycosylation have been limited by an inability to monitor the glycosylation stoichiometries of proteins obtained from cells. Here, we describe a powerful method to visualize the O-GlcNAc-modified protein subpopulation using resolvable polyethylene glycol mass tags. This approach enables rapid quantification of in vivo glycosylation levels on endogenous proteins without the need for protein purification, advanced instrumentation, or expensive radiolabels. In addition, the glycosylation state (e.g., mono-, di-, tri-) of proteins is established, providing information regarding overall O-GlcNAc site occupancy that cannot be obtained using mass spectrometry. Finally, we apply this strategy to rapidly assess the complex interplay between glycosylation and phosphorylation, and discover an unexpected reverse yin-yang relationship on the transcriptional repressor MeCP2, which was undetectable by traditional methods. We anticipate that this mass-tagging strategy will advance our understanding of O-GlcNAc glycosylation, as well as other post-translational modifications and poorly understood glycosylation motifs.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nchembio.412

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Cited by

See all 173

Metadata

Authors
Rexach, J. E., Rogers, C. J., Yu, S.-H., Tao, J., Sun, Y. E., & Hsieh-Wilson, L. C.
Venue
Nature Chemical Biology
Published
2010-07-25
Volume
6
Issue
9
Pages
645-651
ISSN
  • 1552-4450 (ISSN-L)
  • 1552-4469
OpenAlex
W2043528950
Cited by
173
References
3
FWCI
4.25
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Quantification of O-glycosylation stoichiometry and dynamics using resolvable mass tags. https://app.cochat.ai/papers/10.1038/nchembio.412
The paper
Rexach, J. E., Rogers, C. J., Yu, S.-H., Tao, J., Sun, Y. E., & Hsieh-Wilson, L. C. (2010). Quantification of O-glycosylation stoichiometry and dynamics using resolvable mass tags. Nature Chemical Biology. https://doi.org/10.1038/nchembio.412

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.