Literature DB >> 28082515

Impact of Cystinosin Glycosylation on Protein Stability by Differential Dynamic Stable Isotope Labeling by Amino Acids in Cell Culture (SILAC).

Nathalie Nevo1,2, Lucie Thomas1,2, Cerina Chhuon3,2, Zuzanna Andrzejewska1,2, Joanna Lipecka4,2, François Guillonneau5,2, Anne Bailleux1,2, Aleksander Edelman3,6, Corinne Antignac1,2,7, Ida Chiara Guerrera8,2.   

Abstract

Cystinosis is a rare autosomal recessive lysosomal storage disorder characterized by intralysosomal accumulation of cystine. The causative gene for cystinosis is CTNS, which encodes the protein cystinosin, a lysosomal proton-driven cystine transporter. Over 100 mutations have been reported, leading to varying disease severity, often in correlation with residual cystinosin activity as a transporter and with maintenance of its protein-protein interactions. In this study, we focus on the ΔITILELP mutation, the only mutation reported that sometimes leads to severe forms, inconsistent with its residual transported activity. ΔITILELP is a deletion that eliminates a consensus site on N66, one of the protein's seven glycosylation sites. Our hypothesis was that the ΔITILELP mutant is less stable and undergoes faster degradation. Our dynamic stable isotope labeling by amino acids in cell culture (SILAC) study clearly showed that wild-type cystinosin is very stable, whereas ΔITILELP is degraded three times more rapidly. Additional lysosome inhibition experiments confirmed ΔITILELP instability and showed that the degradation was mainly lysosomal. We observed that in the lysosome, ΔITILELP is still capable of interacting with the V-ATPase complex and some members of the mTOR pathway, similar to the wild-type protein. Intriguingly, our interactomic and immunofluorescence studies showed that ΔITILELP is partially retained at the endoplasmic reticulum (ER). We proposed that the ΔITILELP mutation causes protein misfolding, ER retention and inability to be processed in the Golgi apparatus, and we demonstrated that ΔITILELP carries high-mannose glycans on all six of its remaining glycosylation sites. We found that the high turnover of ΔITILELP, because of its immature glycosylation state in combination with low transport activity, might be responsible for the phenotype observed in some patients.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2017        PMID: 28082515      PMCID: PMC5341006          DOI: 10.1074/mcp.M116.063867

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  32 in total

Review 1.  Connecting endoplasmic reticulum stress to autophagy by unfolded protein response and calcium.

Authors:  M Høyer-Hansen; M Jäättelä
Journal:  Cell Death Differ       Date:  2007-07-06       Impact factor: 15.828

2.  The targeting of cystinosin to the lysosomal membrane requires a tyrosine-based signal and a novel sorting motif.

Authors:  S Cherqui; V Kalatzis; G Trugnan; C Antignac
Journal:  J Biol Chem       Date:  2001-01-09       Impact factor: 5.157

3.  Lysosomal Targeting of Cystinosin Requires AP-3.

Authors:  Zuzanna Andrzejewska; Nathalie Névo; Lucie Thomas; Anne Bailleux; Véronique Chauvet; Alexandre Benmerah; Corinne Antignac
Journal:  Traffic       Date:  2015-03-24       Impact factor: 6.215

Review 4.  Glycoproteins.

Authors:  R D Marshall
Journal:  Annu Rev Biochem       Date:  1972       Impact factor: 23.643

5.  The molecular basis of Dutch infantile nephropathic cystinosis.

Authors:  S G Heil; E Levtchenko; L A Monnens; F J Trijbels; N M Van der Put; H J Blom
Journal:  Nephron       Date:  2001-09       Impact factor: 2.847

6.  Natural history of adolescent-onset cystinosis.

Authors:  Julian P Midgley; Reyhan El-Kares; François Mathieu; Paul Goodyer
Journal:  Pediatr Nephrol       Date:  2011-05-08       Impact factor: 3.714

7.  Asparagine-linked oligosaccharides protect Lamp-1 and Lamp-2 from intracellular proteolysis.

Authors:  R Kundra; S Kornfeld
Journal:  J Biol Chem       Date:  1999-10-22       Impact factor: 5.157

Review 8.  ERAD and ERAD tuning: disposal of cargo and of ERAD regulators from the mammalian ER.

Authors:  Riccardo Bernasconi; Maurizio Molinari
Journal:  Curr Opin Cell Biol       Date:  2011-04       Impact factor: 8.382

9.  Accurate proteome-wide label-free quantification by delayed normalization and maximal peptide ratio extraction, termed MaxLFQ.

Authors:  Jürgen Cox; Marco Y Hein; Christian A Luber; Igor Paron; Nagarjuna Nagaraj; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-06-17       Impact factor: 5.911

10.  2016 update of the PRIDE database and its related tools.

Authors:  Juan Antonio Vizcaíno; Attila Csordas; Noemi del-Toro; José A Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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  5 in total

1.  Interaction between galectin-3 and cystinosin uncovers a pathogenic role of inflammation in kidney involvement of cystinosis.

Authors:  Tatiana Lobry; Roy Miller; Nathalie Nevo; Celine J Rocca; Jinzhong Zhang; Sergio D Catz; Fiona Moore; Lucie Thomas; Daniel Pouly; Anne Bailleux; Ida Chiara Guerrera; Marie-Claire Gubler; Wai W Cheung; Robert H Mak; Tristan Montier; Corinne Antignac; Stephanie Cherqui
Journal:  Kidney Int       Date:  2019-03-06       Impact factor: 10.612

Review 2.  Predicting the Structures of Glycans, Glycoproteins, and Their Complexes.

Authors:  Robert J Woods
Journal:  Chem Rev       Date:  2018-08-09       Impact factor: 60.622

3.  De novo peptide sequencing by deep learning.

Authors:  Ngoc Hieu Tran; Xianglilan Zhang; Lei Xin; Baozhen Shan; Ming Li
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-18       Impact factor: 11.205

4.  Structure and mechanism of human cystine exporter cystinosin.

Authors:  Xue Guo; Philip Schmiege; Tufa E Assafa; Rong Wang; Yan Xu; Linda Donnelly; Michael Fine; Xiaodan Ni; Jiansen Jiang; Glenn Millhauser; Liang Feng; Xiaochun Li
Journal:  Cell       Date:  2022-09-15       Impact factor: 66.850

5.  pNovo 3: precise de novo peptide sequencing using a learning-to-rank framework.

Authors:  Hao Yang; Hao Chi; Wen-Feng Zeng; Wen-Jing Zhou; Si-Min He
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

  5 in total

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