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In situ detection of protein interactions for recombinant therapeutic enzymes.

Authors :
Samoudi, Mojtaba
Kuo, Chih‐Chung
Robinson, Caressa M.
Shams‐Ud‐Doha, Km
Schinn, Song‐Min
Kol, Stefan
Weiss, Linus
Petersen Bjorn, Sara
Voldborg, Bjorn G.
Rosa Campos, Alexandre
Lewis, Nathan E.
Source :
Biotechnology & Bioengineering; Feb2021, Vol. 118 Issue 2, p890-904, 15p
Publication Year :
2021

Abstract

Despite their therapeutic potential, many protein drugs remain inaccessible to patients since they are difficult to secrete. Each recombinant protein has unique physicochemical properties and requires different machinery for proper folding, assembly, and posttranslational modifications (PTMs). Here we aimed to identify the machinery supporting recombinant protein secretion by measuring the protein–protein interaction (PPI) networks of four different recombinant proteins (SERPINA1, SERPINC1, SERPING1, and SeAP) with various PTMs and structural motifs using the proximity‐dependent biotin identification (BioID) method. We identified PPIs associated with specific features of the secreted proteins using a Bayesian statistical model and found proteins involved in protein folding, disulfide bond formation, and N‐glycosylation were positively correlated with the corresponding features of the four model proteins. Among others, oxidative folding enzymes showed the strongest association with disulfide bond formation, supporting their critical roles in proper folding and maintaining the ER stability. Knockdown of disulfide‐isomerase PDIA4, a measured interactor with significance for SERPINC1 but not SERPINA1, led to the decreased secretion of SERPINC1, which relies on its extensive disulfide bonds, compared to SERPINA1, which has no disulfide bonds. Proximity‐dependent labeling successfully identified the transient interactions supporting synthesis of secreted recombinant proteins and refined our understanding of key molecular mechanisms of the secretory pathway during recombinant protein production. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00063592
Volume :
118
Issue :
2
Database :
Complementary Index
Journal :
Biotechnology & Bioengineering
Publication Type :
Academic Journal
Accession number :
148307537
Full Text :
https://doi.org/10.1002/bit.27621