Structural basis of p62/SQSTM1 helical filaments and their role in cellular cargo uptake.
Arabidopsis Proteins
/ chemistry
Arginine
/ chemistry
Autophagy
/ physiology
Carrier Proteins
/ chemistry
Cryoelectron Microscopy
Crystallography, X-Ray
HeLa Cells
Humans
Kelch-Like ECH-Associated Protein 1
/ genetics
Lysosomes
/ metabolism
Polymerization
Protein Conformation
Protein Domains
Sequestosome-1 Protein
/ chemistry
Journal
Nature communications
ISSN: 2041-1723
Titre abrégé: Nat Commun
Pays: England
ID NLM: 101528555
Informations de publication
Date de publication:
23 01 2020
23 01 2020
Historique:
received:
28
05
2019
accepted:
02
01
2020
entrez:
25
1
2020
pubmed:
25
1
2020
medline:
25
4
2020
Statut:
epublish
Résumé
p62/SQSTM1 is an autophagy receptor and signaling adaptor with an N-terminal PB1 domain that forms the scaffold of phase-separated p62 bodies in the cell. The molecular determinants that govern PB1 domain filament formation in vitro remain to be determined and the role of p62 filaments inside the cell is currently unclear. We here determine four high-resolution cryo-EM structures of different human and Arabidopsis PB1 domain assemblies and observed a filamentous ultrastructure of p62/SQSTM1 bodies using correlative cellular EM. We show that oligomerization or polymerization, driven by a double arginine finger in the PB1 domain, is a general requirement for lysosomal targeting of p62. Furthermore, the filamentous assembly state of p62 is required for autophagosomal processing of the p62-specific cargo KEAP1. Our results show that using such mechanisms, p62 filaments can be critical for cargo uptake in autophagy and are an integral part of phase-separated p62 bodies.
Identifiants
pubmed: 31974402
doi: 10.1038/s41467-020-14343-8
pii: 10.1038/s41467-020-14343-8
pmc: PMC6978347
doi:
Substances chimiques
Arabidopsis Proteins
0
Carrier Proteins
0
KEAP1 protein, human
0
Kelch-Like ECH-Associated Protein 1
0
NBR1 protein, Arabidopsis
0
SQSTM1 protein, human
0
Sequestosome-1 Protein
0
Arginine
94ZLA3W45F
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
440Références
Katsuragi, Y., Ichimura, Y. & Komatsu, M. p62/SQSTM1 functions as a signaling hub and an autophagy adaptor. FEBS J. 282, 4672–4678 (2015).
pubmed: 26432171
doi: 10.1111/febs.13540
Lamark, T. et al. Interaction codes within the family of mammalian Phox and Bem1p domain-containing proteins. J. Biol. Chem. 278, 34568–34581 (2003).
pubmed: 12813044
doi: 10.1074/jbc.M303221200
Moscat, J., Diaz-Meco, M. T., Albert, A. & Campuzano, S. Cell signaling and function organized by PB1 domain interactions. Mol. Cell 23, 631–640 (2006).
pubmed: 16949360
doi: 10.1016/j.molcel.2006.08.002
Korasick, D. A. et al. Molecular basis for AUXIN RESPONSE FACTOR protein interaction and the control of auxin response repression. Proc. Natl Acad. Sci. USA 111, 5427–5432 (2014).
pubmed: 24706860
doi: 10.1073/pnas.1400074111
Wilson, M. I., Gill, D. J., Perisic, O., Quinn, M. T. & Williams, R. L. PB1 domain-mediated heterodimerization in NADPH oxidase and signaling complexes of atypical protein kinase C with Par6 and p62. Mol. Cell 12, 39–50 (2003).
pubmed: 12887891
doi: 10.1016/S1097-2765(03)00246-6
Sumimoto, H., Kamakura, S. & Ito, T. Structure and function of the PB1 domain, a protein interaction module conserved in animals, fungi, amoebas, and plants. Sci. STKE 2007, re6 (2007).
pubmed: 17726178
doi: 10.1126/stke.4012007re6
Paine, M. G., Babu, J. R., Seibenhener, M. L. & Wooten, M. W. Evidence for p62 aggregate formation: role in cell survival. FEBS Lett. 579, 5029–5034 (2005).
pubmed: 16129434
doi: 10.1016/j.febslet.2005.08.010
Ciuffa, R. et al. The selective autophagy receptor p62 forms a flexible filamentous helical scaffold. Cell Rep. 11, 748–758 (2015).
pubmed: 25921531
doi: 10.1016/j.celrep.2015.03.062
Mizushima, N. & Komatsu, M. Autophagy: renovation of cells and tissues. Cell 147, 728–741 (2011).
pubmed: 22078875
doi: 10.1016/j.cell.2011.10.026
Johansen, T. & Lamark, T. Selective autophagy mediated by autophagic adapter proteins. Autophagy 7, 279–296 (2011).
pubmed: 21189453
pmcid: 3060413
doi: 10.4161/auto.7.3.14487
Kraft, C., Peter, M. & Hofmann, K. Selective autophagy: ubiquitin-mediated recognition and beyond. Nat. Cell Biol. 12, 836–841 (2010).
pubmed: 20811356
doi: 10.1038/ncb0910-836
Itakura, E. & Mizushima, N. p62 Targeting to the autophagosome formation site requires self-oligomerization but not LC3 binding. J. Cell Biol. 192, 17–27 (2011).
pubmed: 21220506
pmcid: 3019556
doi: 10.1083/jcb.201009067
Wurzer, B. et al. Oligomerization of p62 allows for selection of ubiquitinated cargo and isolation membrane during selective autophagy. eLife 4, 1687 (2015).
doi: 10.7554/eLife.08941
Bjørkøy, G. et al. p62/SQSTM1 forms protein aggregates degraded by autophagy and has a protective effect on huntingtin-induced cell death. J. Cell Biol. 171, 603–614 (2005).
pubmed: 16286508
pmcid: 2171557
doi: 10.1083/jcb.200507002
Pankiv, S. et al. p62/SQSTM1 binds directly to Atg8/LC3 to facilitate degradation of ubiquitinated protein aggregates by autophagy. J. Biol. Chem. 282, 24131–24145 (2007).
pubmed: 17580304
doi: 10.1074/jbc.M702824200
Jain, A. et al. p62/SQSTM1 is a target gene for transcription factor NRF2 and creates a positive feedback loop by inducing antioxidant response element-driven gene transcription. J. Biol. Chem. 285, 22576–22591 (2010).
pubmed: 20452972
pmcid: 2903417
doi: 10.1074/jbc.M110.118976
Komatsu, M. et al. The selective autophagy substrate p62 activates the stress responsive transcription factor Nrf2 through inactivation of Keap1. Nat. Cell Biol. 12, 213–223 (2010).
pubmed: 20173742
doi: 10.1038/ncb2021
Duran, A. et al. The signaling adaptor p62 is an important NF-kappaB mediator in tumorigenesis. Cancer Cell 13, 343–354 (2008).
pubmed: 18394557
doi: 10.1016/j.ccr.2008.02.001
Carroll, B. et al. Oxidation of SQSTM1/p62 mediates the link between redox state and protein homeostasis. Nat. Commun. 9, 256–11 (2018).
pubmed: 29343728
pmcid: 5772351
doi: 10.1038/s41467-017-02746-z
Sukseree, S. et al. Filamentous aggregation of sequestosome-1/p62 in brain neurons and neuroepithelial cells upon Tyr-Cre-mediated deletion of the autophagy gene Atg7. Mol. Neurobiol. 55, 8425–8437 (2018).
pubmed: 29550918
pmcid: 6153718
doi: 10.1007/s12035-018-0996-x
Zaffagnini, G. et al. p62 filaments capture and present ubiquitinated cargos for autophagy. EMBO J. 37, e98308 (2018).
Sun, D., Wu, R., Zheng, J., Li, P. & Yu, L. Polyubiquitin chain-induced p62 phase separation drives autophagic cargo segregation. Cell Res. 28, 405–415 (2018).
pubmed: 29507397
pmcid: 5939046
doi: 10.1038/s41422-018-0017-7
Svenning, S., Lamark, T., Krause, K. & Johansen, T. Plant NBR1 is a selective autophagy substrate and a functional hybrid of the mammalian autophagic adapters NBR1 and p62/SQSTM1. Autophagy 7, 993–1010 (2011).
pubmed: 21606687
pmcid: 3210314
doi: 10.4161/auto.7.9.16389
Saio, T., Yokochi, M. & Inagaki, F. The NMR structure of the p62 PB1 domain, a key protein in autophagy and NF-kappaB signaling pathway. J. Biomol. NMR 45, 335–341 (2009).
pubmed: 19728111
doi: 10.1007/s10858-009-9370-7
Saio, T., Yokochi, M., Kumeta, H. & Inagaki, F. PCS-based structure determination of protein-protein complexes. J. Biomol. NMR 46, 271–280 (2010).
pubmed: 20300805
pmcid: 2844537
doi: 10.1007/s10858-010-9401-4
Krissinel, E. & Henrick, K. Inference of macromolecular assemblies from crystalline state. J. Mol. Biol. 372, 774–797 (2007).
pubmed: 17681537
doi: 10.1016/j.jmb.2007.05.022
Ren, J., Wang, J., Wang, Z. & Wu, J. Structural and biochemical insights into the homotypic PB1-PB1 complex between PKCζ and p62. Sci. China Life Sci. 57, 69–80 (2014).
pubmed: 24369353
doi: 10.1007/s11427-013-4592-z
Egelman, E. H. et al. Structural plasticity of helical nanotubes based on coiled-coil assemblies. Structure 23, 280–289 (2015).
pubmed: 25620001
pmcid: 4318749
doi: 10.1016/j.str.2014.12.008
Kirkin, V. et al. A role for NBR1 in autophagosomal degradation of ubiquitinated substrates. Mol. Cell 33, 505–516 (2009).
pubmed: 19250911
doi: 10.1016/j.molcel.2009.01.020
Studier, F. W. Protein production by auto-induction in high density shaking cultures. Protein Expr. Purif. 41, 207–234 (2005).
pubmed: 15915565
doi: 10.1016/j.pep.2005.01.016
Jakobi, A. J., Mashaghi, A., Tans, S. J. & Huizinga, E. G. Calcium modulates force sensing by the von Willebrand factor A2 domain. Nat. Commun. 2, 385 (2011).
pubmed: 21750539
pmcid: 3144584
doi: 10.1038/ncomms1385
Scheuermann, T. H. & Brautigam, C. A. High-precision, automated integration of multiple isothermal titration calorimetric thermograms: new features of NITPIC. Methods 76, 87–98 (2015).
pubmed: 25524420
doi: 10.1016/j.ymeth.2014.11.024
Zhao, H., Piszczek, G. & Schuck, P. SEDPHAT-a platform for global ITC analysis and global multi-method analysis of molecular interactions. Methods 76, 137–148 (2015).
pubmed: 25477226
doi: 10.1016/j.ymeth.2014.11.012
Brautigam, C. A., Zhao, H., Vargas, C., Keller, S. & Schuck, P. Integration and global analysis of isothermal titration calorimetry data for studying macromolecular interactions. Nat. Protoc. 11, 882–894 (2016).
pubmed: 27055097
doi: 10.1038/nprot.2016.044
Ohi, M., Li, Y., Cheng, Y. & Walz, T. Negative staining and image classification—powerful tools in modern electron microscopy. Biol. Proc. Online 6, 23–34 (2004).
doi: 10.1251/bpo70
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
pubmed: 22743772
pmcid: 22743772
doi: 10.1038/nmeth.2019
Li, X. et al. Electron counting and beam-induced motion correction enable near-atomic-resolution single-particle cryo-EM. Nat. Methods 10, 584–590 (2013).
pubmed: 23644547
pmcid: 3684049
doi: 10.1038/nmeth.2472
Rohou, A. & Grigorieff, N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 192, 216–221 (2015).
pubmed: 26278980
pmcid: 6760662
doi: 10.1016/j.jsb.2015.08.008
Tang, G. et al. EMAN2: an extensible image processing suite for electron microscopy. J. Struct. Biol. 157, 38–46 (2007).
pubmed: 16859925
doi: 10.1016/j.jsb.2006.05.009
Desfosses, A., Ciuffa, R., Gutsche, I. & Sachse, C. SPRING—an image processing package for single-particle based helical reconstruction from electron cryomicrographs. J. Struct. Biol. 185, 15–26 (2014).
pubmed: 24269218
doi: 10.1016/j.jsb.2013.11.003
Hohn, M. et al. SPARX, a new environment for Cryo-EM image processing. J. Struct. Biol. 157, 47–55 (2007).
pubmed: 16931051
doi: 10.1016/j.jsb.2006.07.003
Rosenthal, P. B. & Henderson, R. Optimal determination of particle orientation, absolute hand, and contrast loss in single-particle electron cryomicroscopy. J. Mol. Biol. 333, 721–745 (2003).
pubmed: 14568533
doi: 10.1016/j.jmb.2003.07.013
pmcid: 14568533
Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife 7, 163 (2018).
doi: 10.7554/eLife.42166
Zhang, K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 193, 1–12 (2016).
pubmed: 26592709
pmcid: 4711343
doi: 10.1016/j.jsb.2015.11.003
Emsley, P. & Cowtan, K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D. Biol. Crystallogr. 60, 2126–2132 (2004).
pubmed: 15572765
doi: 10.1107/S0907444904019158
Adams, P. D. et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. Biol. Crystallogr. 66, 213–221 (2010).
pubmed: 20124702
pmcid: 2815670
doi: 10.1107/S0907444909052925
Jakobi, A. J., Wilmanns, M. & Sachse, C. Model-based local density sharpening of cryo-EM maps. eLife 6, e27131 (2017).
pubmed: 29058676
pmcid: 5679758
doi: 10.7554/eLife.27131
Kabsch, W. Integration, scaling, space-group assignment and post-refinement. Acta Crystallogr. D. Biol. Crystallogr. 66, 133–144 (2010).
pubmed: 20124693
pmcid: 2815666
doi: 10.1107/S0907444909047374
Evans, P. R. & Murshudov, G. N. How good are my data and what is the resolution? Acta Crystallogr. D. Biol. Crystallogr. 69, 1204–1214 (2013).
pubmed: 23793146
pmcid: 3689523
doi: 10.1107/S0907444913000061
Grosse-Kunstleve, R. W., Sauter, N. K., Moriarty, N. W. & Adams, P. D. The Computational Crystallography Toolbox: crystallographic algorithms in a reusable software framework. J. Appl. Crystallogr. 35, 126–136 (2002).
doi: 10.1107/S0021889801017824
Mccoy, A. J. et al. Phaser crystallographic software. J. Appl. Crystallogr. 40, 658–674 (2007).
pubmed: 19461840
pmcid: 2483472
doi: 10.1107/S0021889807021206
Terwilliger, T. C. et al. Model morphing and sequence assignment after molecular replacement. Acta Crystallogr. D. Biol. Crystallogr. 69, 2244–2250 (2013).
pubmed: 24189236
pmcid: 3817698
doi: 10.1107/S0907444913017770
Langer, G., Cohen, S. X., Lamzin, V. S. & Perrakis, A. Automated macromolecular model building for X-ray crystallography using ARP/wARP version 7. Nat. Protoc. 3, 1171–1179 (2008).
pubmed: 18600222
pmcid: 2582149
doi: 10.1038/nprot.2008.91
Kremer, J. R., Mastronarde, D. N. & McIntosh, J. R. Computer visualization of three-dimensional image data using IMOD. J. Struct. Biol. 116, 71–76 (1996).
pubmed: 8742726
doi: 10.1006/jsbi.1996.0013
Overå, K. et al. TRIM32, but not its muscular dystrophy-associated mutant, positively regulates and is targeted to autophagic degradation by p62/SQSTM1. J. Cell Sci. 132, jcs236596 (2019).
pubmed: 31685529
doi: 10.1242/jcs.236596
Alemu, E. A. et al. ATG8 family proteins act as scaffolds for assembly of the ULK complex: sequence requirements for LC3-interacting region (LIR) motifs. J. Biol. Chem. 287, 39275–39290 (2012).
pubmed: 23043107
doi: 10.1074/jbc.M112.378109
Larsen, K. B. et al. A reporter cell system to monitor autophagy based on p62/SQSTM1. Autophagy 6, 784–793 (2010).
pubmed: 20574168
doi: 10.4161/auto.6.6.12510
Bhujabal, Z. et al. FKBP8 recruits LC3A to mediate Parkin-independent mitophagy. EMBO Rep. 18, 947–961 (2017).