Related Experiment Video
Updated: Feb 13, 2026

Analysis of SCAP N-glycosylation and Trafficking in Human Cells
Published on: November 8, 2016
Loss and gain of N-linked glycosylation sequons due to single-nucleotide variation in cancer
1The Department of Biochemistry & Molecular Medicine, The George Washington University Medical Center, Washington, DC, 20037, United States of America.
Abstract:
Despite availability of sequence site-specific information resulting from years of sequencing and sequence feature curation, there have been few efforts to integrate and annotate this information. In this study, we update the number of human N-linked glycosylation sequons (NLGs), and we investigate cancer-relatedness of glycosylation-impacting somatic nonsynonymous single-nucleotide variation (nsSNV) by mapping human NLGs to cancer variation data and reporting the expected loss or gain of glycosylation sequon. We find 75.8% of all human proteins have at least one NLG for a total of 59,341 unique NLGs (includes predicted and experimentally validated). Only 27.4% of all NLGs are experimentally validated sites on 4,412 glycoproteins. With respect to cancer, 8,895 somatic-only nsSNVs abolish NLGs in 5,204 proteins and 12,939 somatic-only nsSNVs create NLGs in 7,356 proteins in cancer samples. nsSNVs causing loss of 24 NLGs on 23 glycoproteins and nsSNVs creating 41 NLGs on 40 glycoproteins are identified in three or more cancers. Of all identified cancer somatic variants causing potential loss or gain of glycosylation, only 36 have previously known disease associations. Although this work is computational, it builds on existing genomics and glycobiology research to promote identification and rank potential cancer nsSNV biomarkers for experimental validation.
Related Concept Videos
Single Nucleotide Polymorphisms-SNPs
Protein Glycosylation
Glycosylation occurs in...
Nucleotide Excision Repair
Gain
Gain:
Suppose Vin is the input and Vout is the output signal to a circuit.
What is Variation?
The range, standard deviation, standard error, and variance are the different measures of variation.
Range: The range is the difference between its maximum and...
Covalently Linked Protein Regulators
These groups modify specific amino acids in a protein....

