2021
DOI: 10.1101/2021.08.28.457928
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Mechanistic basis for SNX27-Retromer coupling to ESCPE-1 in promoting endosomal cargo recycling

Abstract: Sorting nexin-27 (SNX27)-Retromer is an endosomal sorting complex that orchestrates endosome-to-plasma membrane recycling of hundreds of internalized receptors, channels and transporters, enzymes and adhesion molecules. While SNX27-Retromer is essential for development, subtle functional defects are observed in human disease, most notably neurodegenerative and neurological disorders. Achieving a thorough mechanistic dissection of SNX27-Retromer is central to understanding endosomal sorting in health and diseas… Show more

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Cited by 4 publications
(4 citation statements)
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“…Despite attempts to crystallise Munc18-1 in complex with various Mint1 peptides we were unable determine a high-resolution structure of this complex, including with stabilized Munc18-1 variants (Peleg et al, 2021). The machine-learning structure-prediction algorithm AlphaFold2 (Evans et al, 2022; Jumper et al, 2021) has been successfully used to predict structures of protein-peptide complexes by ourselves and others (Ko and Lee, 2021; Poetz et al, 2021; Simonetti et al, 2021; Tsaban et al, 2021). We performed a series of modelling experiments to map the complex between Munc18-1 and Mint1 using the ColabFold implementation of AlphaFold2 (Mirdita et al, 2022).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…Despite attempts to crystallise Munc18-1 in complex with various Mint1 peptides we were unable determine a high-resolution structure of this complex, including with stabilized Munc18-1 variants (Peleg et al, 2021). The machine-learning structure-prediction algorithm AlphaFold2 (Evans et al, 2022; Jumper et al, 2021) has been successfully used to predict structures of protein-peptide complexes by ourselves and others (Ko and Lee, 2021; Poetz et al, 2021; Simonetti et al, 2021; Tsaban et al, 2021). We performed a series of modelling experiments to map the complex between Munc18-1 and Mint1 using the ColabFold implementation of AlphaFold2 (Mirdita et al, 2022).…”
Section: Resultsmentioning
confidence: 99%
“…The machine-learning structure-prediction algorithm AlphaFold2 (Evans et al , 2022; Jumper et al , 2021) has been successfully used to predict structures of protein-peptide complexes by ourselves and others (Ko & Lee, 2021; Poetz et al , 2021; Simonetti et al , 2021; Tsaban et al , 2021). We began our analyses of Mint interactions with a series of modelling experiments to map the complex between Munc18-1 and Mint1 using the ColabFold implementation of AlphaFold2 (Mirdita et al , 2022).…”
Section: Resultsmentioning
confidence: 99%
“…Rab and Arf family proteins are marked in blue, SNXs in black, and cargo molecules in green. Based on references [ 43 , 44 , 46 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 , 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 ].…”
Section: Figurementioning
confidence: 99%
“…Such functional interaction relies on SNX27-mediated binding of the disordered amino-termini of the SNX1/2 subunits. This event ensures cargo protein retrieval from lysosomal degradation by SNX27-Retromer into ESCPE-1 tubules [88,98,99].…”
Section: Escpe-1mentioning
confidence: 99%