Phosphorylation-Coupled Autoregulation Maintains Functional ER Exit Sites
Maeda, M.; Arakawa, M.; Wakabayashi, M.; Komatsu, Y.; Saito, K.
Show abstract
Secretory proteins are synthesized in the endoplasmic reticulum (ER) and begin their transport from specialized domains on the ER called ER exit sites (ERES). We previously demonstrated that the interaction between TANGO1 and Sec16 is critical for ERES formation. In this study, we reveal that the phosphorylation of TANGO1 and Sec16 is regulated by a FAM83A/CK1-mediated negative feedback loop. Conversely, their dephosphorylation is regulated in a spatially distinct manner by different phosphatase complexes: PPP6R3/PPP6C for Sec16 and PPP1R15B/PPP1C for TANGO1. Excessive phosphorylation of either TANGO1 or Sec16 leads to ERES disassembly, while excessive dephosphorylation impairs secretion. Our findings demonstrate that maintaining a balanced phosphorylation state of TANGO1 and Sec16 through autoregulation by FAM83A/CK1 and the phosphatases PP1 and PP6 is essential for sustaining proper secretory activity at the ERES.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- COP9 signalosome and PRMT5 methylosome complexes are essential regulators of Lis1-dynein based transport 94%
- ECPAS/Ecm29-Mediated 26S Proteasome Disassembly Is an Adaptive Response to Glucose Starvation 93%
- A Cancer-Specific Antigen Drives Histone Acetylation by Stabilizing the Acetyltransferases 93%
Similar papers in this journal
- Double NPY motifs at the N-terminus of Sso2 synergistically bind Sec3 to promote membrane fusion 95%
- Src activates retrograde membrane traffic through phosphorylation of GBF1 94%
- S-acylation targets ORAI1 channels to lipid rafts for efficient Ca2+ signaling by T cell receptors at the immune synapse 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.