The DOI matches its Crossref record.
Glycomics and disease markers
Open accessAbstract
Summary of Recent Advances Glycomics is the comprehensive study of all glycans expressed in biological systems. The biosynthesis of glycan relies on a number of highly competitive processes involving glycosyl transferase. Glycosylation is therefore highly sensitive to the biochemical environment and has been implicated in many diseases including cancer. Recently, interest in profiling the glycome has increased due to the potential of glycans for disease markers. In this regard, mass spectrometry is emerging as a powerful technique for profiling the glycome. Global glycan profiling of human serum based on mass spectrometry has already led to several potentially promising markers for several types of cancer and diseases.
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.
Integrity signals
Registry
Cites
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.
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
Cited by
Insights into the role of sialylation in cancer progression and metastasis
Dobie, C., & Skropeta, D. (2021) · British Journal of Cancer · doi:10.1038/s41416-020-01126-7 · Cited by 348
High-Mannose Glycans are Elevated during Breast Cancer Progression
de Leoz, M. L. A., Young, L. J. T., An, H. J., Kronewitter, S. R., Kim, J., Miyamoto, S., Borowsky, A. D., Chew, H. K., & Lebrilla, C. B. (2011) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m110.002717 · Cited by 320
Self-citationZhang, J., Guy, M. J., Norman, H. S., Chen, Y.-C., Xu, Q., Dong, X., Guner, H., Wang, S., Kohmoto, T., Young, K. H., et al. (2011) · Journal of Proteome Research · doi:10.1021/pr200258m · Cited by 194
Varki, A. (2011) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a005462 · Cited by 173
New Technologies for Glycomic Analysis: Toward a Systematic Understanding of the Glycome
Rakus, J. F., & Mahal, L. K. (2011) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-061010-113951 · Cited by 117
Metadata
- Authors
- An, H. J., Kronewitter, S. R., de Leoz, M. L. A., & Lebrilla, C. B.
- Venue
- Current Opinion in Chemical Biology
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 13
- Issue
- 5-6
- Pages
- 601-607
- ISSN
- 1367-5931 (ISSN-L)
- OpenAlex
- W2084766638
- Cited by
- 267
- References
- 0
- FWCI
- 1.18
- 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: Glycomics and disease markers. https://app.cochat.ai/papers/10.1016/j.cbpa.2009.08.015
- The paper
- An, H. J., Kronewitter, S. R., de Leoz, M. L. A., & Lebrilla, C. B. (2009). Glycomics and disease markers. Current Opinion in Chemical Biology. https://doi.org/10.1016/j.cbpa.2009.08.015
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.