Quantitative glycoproteomics reveals substrate selectivity of the ER protein quality control sensors UGGT1 and UGGT2
- University of Massachusetts, United States
- University of Copenhagen, Denmark
Abstract
UDP-glucose: glycoprotein glucosyltransferase (UGGT) 1 and 2 are central hubs in the chaperone network of the endoplasmic reticulum (ER), acting as gatekeepers to the early secretory pathway yet little is known about their cellular clients. These two quality control sensors control lectin chaperone binding and glycoprotein egress from ER. A quantitative glycoproteomics strategy was deployed to identify cellular substrates of the UGGTs at endogenous levels in CRISPR-edited HEK293 cells. The seventy-one UGGT substrates identified were mainly large multidomain and heavily glycosylated proteins when compared to the general N-glycoproteome. UGGT1 was the dominant glucosyltransferase with a preference towards large plasma membrane proteins whereas UGGT2 favored the modification of smaller, soluble lysosomal proteins. This study sheds light on differential specificities and roles of UGGT1 and UGGT2 and provides insight into the cellular reliance on carbohydrate-dependent chaperone system to facilitate proper folding and maturation of the cellular N-glycoproteome.
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All data generated during this study are included in the manuscript or supporting files.
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Funding
National Institute of General Medical Sciences (GM086874)
- Daniel N Hebert
National Institute of General Medical Sciences (T32GM008515)
- Benjamin M Adams
- Nathan P Canniff
The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
Copyright
© 2020, Adams et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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Quantitative glycoproteomics reveals substrate selectivity of the ER protein quality control sensors UGGT1 and UGGT2
eLife 9:e63997.
https://doi.org/10.7554/eLife.63997
