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Article . 2010 . Peer-reviewed
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Article . 2010 . Peer-reviewed
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Article . 2011
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Pathogenesis of ER Storage Disorders: Modulating Russell Body Biogenesis by Altering Proximal and Distal Quality Control

Authors: RONZONI R; ANELLI , TIZIANA; BRUNATI M; CORTINI M; FAGIOLI C; SITIA , ROBERTO;

Pathogenesis of ER Storage Disorders: Modulating Russell Body Biogenesis by Altering Proximal and Distal Quality Control

Abstract

In many protein storage diseases, detergent-insoluble proteins accumulate in the early secretory compartment (ESC). Protein condensation reflects imbalances between entry into (synthesis/translocation) and exit from (secretion/degradation) ESC, and can be also a consequence of altered quality control (QC) mechanisms. Here we exploit the inducible formation of Russell bodies (RB), dilated ESC cisternae containing mutant Ig-micro chains, as a model to mechanistically dissect protein condensation. Depending on the presence or absence of Ig-L chains, mutant Ig-micro chains lacking their first constant domain (Ch1) accumulate in rough or smooth RB (rRB and sRB), dilations of the endoplasmic reticulum (ER) and ER-Golgi intermediate compartment (ERGIC), respectively, reflecting the proximal and distal QC stations in the stepwise biogenesis of polymeric IgM. Either weakening ERp44-dependent distal QC or facilitating ER-associated degradation (ERAD) inhibits RB formation. Overexpression of PDI or ERp44 inhibits muDeltaCh1 secretion. However, PDI inhibits while ERp44 promotes muDeltaCh1 condensation. Both Ero1alpha silencing and overexpression prevent RB formation, demonstrating a strict redox dependency of the phenomenon. Altogether, our findings identify key controllers of protein condensation along the ESC as potential targets to handle certain storage disorders.

Keywords

Quality Control, Polymers, Proteins, Endoplasmic Reticulum, early secretory compartment, endoplasmicreticulum, ERGIC, protein condensation, Protein Transport, Immunoglobulin M, Animals, Humans, Protein Processing, Post-Translational, HeLa Cells

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    29
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
29
Top 10%
Top 10%
Top 10%
bronze