<i>O</i> ‐GlcNAcylation regulates endoplasmic reticulum exit sites through <i>Sec31A</i> modification in conventional secretory pathway is a research paper published in The FASEB Journal (2018). On theSindex it has a DataRank of 0.909. It has been cited 23 times, with 22 citing works in its 1-hop citation network.
ABSTRACT The conventional secretory pathway is indispensable for eukaryotic cells. Newly synthesized membrane and secretory proteins are released from the endoplasmic reticulum (ER) through ER‐derived vesicles to their appropriate destination. Vesicle formation is important for steady protein trafficking. O ‐GlcNAcylation ( O ‐GlcNAc) is a unique protein glycosylation signature, whose dynamic regulation by O ‐GlcNAc transferase and O ‐GlcNAcase occurs exclusively for nuclear and cytoplasmic proteins. Because of this locally limited property, the role of O ‐GlcNAc in the conventional protein secretory pathway is unknown. We report that Sec31A on COPII vesicles, a specific coat‐protein complex for anterograde trafficking in the ER‐Golgi network, is O ‐GlcNAcylated on S964, which accelerates COPII vesicle formation through control of its binding affinity to apoptosis‐linked gene 2, a calcium‐binding protein. Together, O ‐GlcNAc on Sec31A regulates conventional secretory vesicle trafficking in the ER‐Golgi network. These modifications accelerate COPII vesicle formation and accelerated anterograde transport of vesicles within the ER‐Golgi networks.—Cho, H. J., Mook‐Jung, I. O ‐GlcNAcylation regulates endoplasmic reticulum exit sites through Sec31A modification in conventional secretory pathway. FASEB J. 32, 4641–4657 (2018). www.fasebj.org
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Base Score Contribution
0.477
From this paper's citation signal
Citation Network Contribution
0.432
From 20 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 52% comes from its base citations and 48% from the citation network (20 citing papers contributed measurable signal).
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