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Structural recognition and stabilization of tyrosine hydroxylase by the J-domain protein DNAJC12
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Abstract
Pathogenic variants of the J-domain protein DNAJC12 cause parkinsonism, which is associated with a defective interaction of DNAJC12 with tyrosine hydroxylase (TH), the rate-limiting enzyme in dopamine biosynthesis. In this work, we characterize the formation of the TH:DNAJC12 complex, showing that DNAJC12 binding stabilizes both TH and the variant TH-p.R202H, associated with TH deficiency. This binding delays their time-dependent aggregation in an Hsp70-independent manner, while preserving TH activity and feedback regulatory inhibition by dopamine. DNAJC12 alone barely activates Hsc70 but synergistically stimulates Hsc70 ATPase activity when complexed with TH. Cryo-electron microscopy supported by crosslinking-mass spectroscopy reveals two DNAJC12 monomers bound per TH tetramer, each embracing one of the two regulatory domain dimers, leaving the active sites available for substrate, cofactor and inhibitory dopamine interaction. Our results also reveal the key role of the C-terminal region of DNAJC12 in TH binding, explaining the pathogenic mechanism of the DNAJC12 disease variant p.W175Ter.
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Cites
Basic local alignment search tool
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1990) · Journal of Molecular Biology · doi:10.1006/jmbi.1990.9999 · Cited by 98,669
UCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 45,828
Highly accurate protein structure prediction with AlphaFold
Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature · doi:10.1038/s41586-021-03819-2 · Cited by 43,764
A simple method for displaying the hydropathic character of a protein
Kyte, J., & Doolittle, R. F. (1982) · Journal of Molecular Biology · doi:10.1016/0022-2836(82)90515-0 · Cited by 22,843
cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination
Punjani, A., Rubinstein, J. L., Fleet, D. J., & Brubaker, M. A. (2017) · Nature Methods · doi:10.1038/nmeth.4169 · Cited by 11,626
Mass Spectrometric Sequencing of Proteins from Silver-Stained Polyacrylamide Gels
Shevchenko, A., Wilm, M., Vorm, O., & Mann, M. (1996) · Analytical Chemistry · doi:10.1021/ac950914h · Cited by 8,995
MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy
Zheng, S. Q., Palovcak, E. J., Armache, J., Verba, K. A., Cheng, Y., & Agard, D. A. (2017) · Nature Methods · doi:10.1038/nmeth.4193 · Cited by 7,559
Deciphering key features in protein structures with the new ENDscript server
Robert, X., & Gouet, P. (2014) · Nucleic Acids Research · doi:10.1093/nar/gku316 · Cited by 7,053
RELION: Implementation of a Bayesian approach to cryo-EM structure determination
Scheres, S. H. W. (2012) · Journal of Structural Biology · doi:10.1016/j.jsb.2012.09.006 · Cited by 5,446
Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., et al. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.035600 · Cited by 3,665
Gctf: Real-time CTF determination and correction
Zhang, K. (2015) · Journal of Structural Biology · doi:10.1016/j.jsb.2015.11.003 · Cited by 3,428
Hsp70 chaperones: Cellular functions and molecular mechanism
Mayer, M. P., & Bukau, B. (2005) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-004-4464-6 · Cited by 2,987
The HSP70 chaperone machinery: J proteins as drivers of functional specificity
Kampinga, H. H., & Craig, E. A. (2010) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2941 · Cited by 1,755
Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins
Fernández‐Escamilla, A. M., Rousseau, F., Schymkowitz, J. W. H., & Serrano, L. G. (2004) · Nature Biotechnology · doi:10.1038/nbt1012 · Cited by 1,683
In vivo aspects of protein folding and quality control
Balchin, D., Hayer-Hartl, M., & Hartl, F. U. (2016) · Science · doi:10.1126/science.aac4354 · Cited by 1,439
Structural Analysis of Substrate Binding by the Molecular Chaperone DnaK
Zhu, X., Zhao, X., Burkholder, W. F., Gragerov, A., Ogata, C. M., Gottesman, M. E., & Hendrickson, W. A. (1996) · Science · doi:10.1126/science.272.5268.1606 · Cited by 1,258
Micsonai, A., Wien, F., Bulyáki, É., Kun, J., Moussong, É., Lee, Y., Goto, Y., Réfrégiers, M., & Kardos, J. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky497 · Cited by 1,157
The HADDOCK2.4 web server for integrative modeling of biomolecular complexes
Honorato, R. V., Trellet, M. E., Jiménez‐García, B., Schaarschmidt, J., Giulini, M., Reys, V., Koukos, P. I., Rodrigues, J., Karaca, E., van Zundert, G. C. P., et al. (2024) · Nature Protocols · doi:10.1038/s41596-024-01011-0 · Cited by 705
de la Rosa-Trevin, J. M., Quintana, A., del Caño, L., Zaldívar-Peraza, A., Foche, I., Gutiérrez, J., Gómez-Blanco, J., Burguet–Castell, J., Cuenca-Alba, J., Abrishami, V., et al. (2016) · Journal of Structural Biology · doi:10.1016/j.jsb.2016.04.010 · Cited by 594
Mechanism of regulation of Hsp70 chaperones by DnaJ cochaperones
Laufen, T., Mayer, M. P., Beisel, C., Klostermeier, D., Mogk, A., Reinstein, J., & Bukau, B. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.10.5452 · Cited by 554
A DNAJB Chaperone Subfamily with HDAC-Dependent Activities Suppresses Toxic Protein Aggregation
Hageman, J., Rujano, M. A., van Waarde, M. A. W. H., Kakkar, V., Dirks, R. P., Govorukhina, N. I., Oosterveld‐Hut, H. M. J., Lubsen, N. H., & Kampinga, H. H. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.01.001 · Cited by 388
Crucial HSP70 co-chaperone complex unlocks metazoan protein disaggregation
Nillegoda, N. B., Kirstein, J., Szlachcic, A., Berynskyy, M., Stank, A., Stengel, F., Arnsburg, K., Gao, X., Scior, A., Aebersold, R., et al. (2015) · Nature · doi:10.1038/nature14884 · Cited by 366
Analyzing Protein Disorder with IUPred2A
Erdős, G., & Dosztányi, Z. (2020) · Current Protocols in Bioinformatics · doi:10.1002/cpbi.99 · Cited by 335
Johnson, S. M., Connelly, S., Fearns, C., Powers, E. T., & Kelly, J. W. (2012) · Journal of Molecular Biology · doi:10.1016/j.jmb.2011.12.060 · Cited by 332
[11] Coupled assay of Na+,K+-ATPase activity
Nørby, J. G. (1988) · Methods in Enzymology · doi:10.1016/0076-6879(88)56014-7 · Cited by 321
Merkley, E. D., Rysavy, S., Kahraman, A., Hafen, R. P., Daggett, V., & Adkins, J. N. (2014) · Protein Science · doi:10.1002/pro.2458 · Cited by 319
Role of the J-domain in the cooperation of Hsp40 with Hsp70
Greene, M. K., Maskos, K., & Landry, S. J. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.11.6108 · Cited by 275
Chemical cross-linking/mass spectrometry targeting acidic residues in proteins and protein complexes
Leitner, A., Joachimiak, L. A., Unverdorben, P., Walzthoeni, T., Frydman, J., Förster, F., & Aebersold, R. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1320298111 · Cited by 263
Molecular Mechanism of J-Domain-Triggered ATP Hydrolysis by Hsp70 Chaperones
Kityk, R., Kopp, J., & Mayer, M. P. (2018) · Molecular Cell · doi:10.1016/j.molcel.2017.12.003 · Cited by 263
Goodwill, K. E., Sabatier, C., Marks, C. B., Raag, R., Fitzpatrick, P. F., & Stevens, R. C. (1997) · Nature Structural Biology · doi:10.1038/nsb0797-578 · Cited by 260
Automated Assignment of MS/MS Cleavable Cross-Links in Protein 3D-Structure Analysis
Götze, M., Pettelkau, J., Fritzsche, R., Ihling, C. H., Schäfer, M., & Sinz, A. (2014) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-014-1001-1 · Cited by 242
Tyrosine hydroxylase deficiency: a treatable disorder of brain catecholamine biosynthesis
Willemsen, M. A. A. P., Verbeek, M. M., Kamsteeg, E., Andel, J. F. D. R.-V., Aeby, A., Blau, N., Burlina, A. P., Donati, M. A., Geurtz, B., Grattan‐Smith, P. J., et al. (2010) · Brain · doi:10.1093/brain/awq087 · Cited by 238
HSP40 proteins use class-specific regulation to drive HSP70 functional diversity
Faust, O., Abayev-Avraham, M., Wentink, A. S., Maurer, M. J., Nillegoda, N. B., London, N., Bukau, B., & Rosenzweig, R. (2020) · Nature · doi:10.1038/s41586-020-2906-4 · Cited by 232
MonoRes: Automatic and Accurate Estimation of Local Resolution for Electron Microscopy Maps
Vilas, J. L., Gómez-Blanco, J., Conesa, P., Melero, R., de la Rosa-Trevin, J. M., Otón, J., Cuenca-Alba, J., Marabini, R., Carazo, J. M., Vargas, J., et al. (2018) · Structure · doi:10.1016/j.str.2017.12.018 · Cited by 217
Hageman, J., & Kampinga, H. (2008) · Cell stress & chaperones (Print) · doi:10.1007/s12192-008-0060-2 · Cited by 203
Barghorn, S., Biernat, J., & Mandelkow�, E. (2005) · Humana Press eBooks · doi:10.1385/1-59259-874-9:035 · Cited by 195
Månsson, C., Arosio, P., Hussein, R. M., Kampinga, H. H., Hashem, R. M., Boelens, W. C., Dobson, C. M., Knowles, T. P. J., Linse, S. S., & Emanuelsson, C. S. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.595124 · Cited by 186
Structure of an auxilin-bound clathrin coat and its implications for the mechanism of uncoating
Fotin, A., Cheng, Y., Grigorieff, N., Walz, T., Harrison, S. C., & Kirchhausen, T. L. (2004) · Nature · doi:10.1038/nature03078 · Cited by 181
Uncovering the Mechanism of Aggregation of Human Transthyretin
Saelices, L., Johnson, L. M., Liang, W. Y., Sawaya, M. R., Cascio, D., Ruchala, P. P., Whitelegge, J. P., Jiang, L., Riek, R., & Eisenberg, D. S. (2015) · Journal of Biological Chemistry · doi:10.1074/jbc.m115.659912 · Cited by 163
Biallelic Mutations in DNAJC12 Cause Hyperphenylalaninemia, Dystonia, and Intellectual Disability
Anikster, Y., Haack, T. B., Vilboux, T., Pode‐Shakked, B., Thöny, B., Shen, N., Guarani, V., Meißner, T., Mayatepek, E., Trefz, F. K., et al. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.01.002 · Cited by 162
Structural basis for client recognition and activity of Hsp40 chaperones
Jiang, Y., Rossi, P., & Kalodimos, C. G. (2019) · Science · doi:10.1126/science.aax1280 · Cited by 149
Mapping interactions with the chaperone network reveals factors that protect against tau aggregation
Mok, S., Condello, C., Freilich, R., Gillies, A. T., Arhar, T., Oroz, J., Kadavath, H., Julien, O., Assimon, V. A., Rauch, J. N., et al. (2018) · Nature Structural & Molecular Biology · doi:10.1038/s41594-018-0057-1 · Cited by 147
Accurate Prediction of DnaK-Peptide Binding via Homology Modelling and Experimental Data
Durme, J. V., Maurer‐Stroh, S., Gallardo, R. U., Wilkinson, H. R., Rousseau, F., & Schymkowitz, J. W. H. (2009) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000475 · Cited by 132
Heat Shock Protein 40: Structural Studies and Their Functional Implications
Li, J., Qian, X., & Sha, B. (2009) · Protein and Peptide Letters · doi:10.2174/092986609788490159 · Cited by 128
The J-Domain of Hsp40 Couples ATP Hydrolysis to Substrate Capture in Hsp70
Wittung-Stafshede, P. E., Guidry, J. J., Horne, B. E., & Landry, S. J. (2003) · Biochemistry · doi:10.1021/bi027333o · Cited by 105
Karamanos, T. K., Tugarinov, V., & Clore, G. M. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1914999116 · Cited by 104
Bueno-Carrasco, M. T., Cuéllar, J., Flydal, M. I., Santiago, C. A., Kråkenes, T.-A., Kleppe, R., López‐Blanco, J. R., Marcilla, M., Teigen, K., Alvira, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-021-27657-y · Cited by 102
Self-citationHow Structure Defines Affinity in Protein-Protein Interactions
Erijman, A., Rosenthal, E., & Shifman, J. M. (2014) · PLoS ONE · doi:10.1371/journal.pone.0110085 · Cited by 100
Abrishami, V., Zaldívar-Peraza, A., de la Rosa-Trevin, J. M., Vargas, J., Otón, J., Marabini, R., Shkolnisky, Y., Carazo, J. M., & Sorzano, C. Ó. S. (2013) · Bioinformatics · doi:10.1093/bioinformatics/btt429 · Cited by 87
DNAJC12 and dopa‐responsive nonprogressive parkinsonism
Straniero, L., Guella, I., Cilia, R., Parkkinen, L., Rimoldi, V., Young, A., Asselta, R., Soldà, G., Sossi, V., Stoessl, A. J., et al. (2017) · Annals of Neurology · doi:10.1002/ana.25048 · Cited by 77
DNAJC12 deficiency: A new strategy in the diagnosis of hyperphenylalaninemias
Blau, N., Martı́nez, A., Hoffmann, G. F., & Thöny, B. (2017) · Molecular Genetics and Metabolism · doi:10.1016/j.ymgme.2017.11.005 · Cited by 75
Quantitation of protein–protein interactions by thermal stability shift analysis
Layton, C. J., & Hellinga, H. W. (2011) · Protein Science · doi:10.1002/pro.674 · Cited by 73
Efficient initial volume determination from electron microscopy images of single particles
Vargas, J., Alvarez-Cabrera, A. L., Marabini, R., Carazo, J. M., & Sorzano, C. Ó. S. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu404 · Cited by 70
J-domain protein chaperone circuits in proteostasis and disease
Zhang, R., Malinverni, D., Cyr, D., Rios, P. D. L., & Nillegoda, N. B. (2022) · Trends in Cell Biology · doi:10.1016/j.tcb.2022.05.004 · Cited by 69
Auxilin-Induced Interaction of the Molecular Chaperone Hsc70 with Clathrin Baskets
Barouch, W. W., Prasad, K., Greene, L. E., & Eisenberg, E. (1997) · Biochemistry · doi:10.1021/bi962727z · Cited by 66
Ciesielski, S. J., Schilke, B. A., Osipiuk, J., Bigelow, L. J., Mulligan, R., Majewska, J., Joachimiak, A., Marszałek, J., Craig, E. A., & Dutkiewicz, R. (2012) · Journal of Molecular Biology · doi:10.1016/j.jmb.2012.01.022 · Cited by 65
DNAJC proteins and pathways to parkinsonism
Roosen, D. A., Blauwendraat, C., Cookson, M., & Lewis, P. A. (2019) · FEBS Journal · doi:10.1111/febs.14936 · Cited by 65
Majewska, J., Ciesielski, S. J., Schilke, B. A., Kominek, J., Blenska, A., Delewski, W., Song, J.-Y., Marszałek, J., Craig, E. A., & Dutkiewicz, R. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.503524 · Cited by 63
Analytical Platform for Monitoring Aggregation of Monoclonal Antibody Therapeutics
Bansal, R., Gupta, S., & Rathore, A. S. (2019) · Pharmaceutical Research · doi:10.1007/s11095-019-2690-8 · Cited by 63
DnaJC7 binds natively folded structural elements in tau to inhibit amyloid formation
Hou, Z., Wydorski, P. M., Perez, V. A., Mendoza‐Oliva, A., Ryder, B. D., Mirbaha, H., Kashmer, O. M., & Joachimiak, Ł. A. (2021) · Nature Communications · doi:10.1038/s41467-021-25635-y · Cited by 57
The interactions of molecular chaperones with client proteins: why are they so weak?
Arhar, T., Shkedi, A., Nadel, C. M., & Gestwicki, J. E. (2021) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2021.101282 · Cited by 55
The Solution Structure of the Regulatory Domain of Tyrosine Hydroxylase
Zhang, S., Huang, T., Ilangovan, U., Hinck, A. P., & Fitzpatrick, P. F. (2013) · Journal of Molecular Biology · doi:10.1016/j.jmb.2013.12.015 · Cited by 52
van Spronsen, F. J., Himmelreich, N., Rüfenacht, V., Shen, N., van Vliet, D., Al‐Owain, M. A., Ramzan, K., Alkhalifi, S. M., Lunsing, R. J., Heiner‐Fokkema, R., et al. (2017) · Journal of Medical Genetics · doi:10.1136/jmedgenet-2017-104875 · Cited by 52
Implications of disease-related mutations at protein–protein interfaces
Xiong, D., Lee, D., Li, L., Zhao, Q., & Yu, H. (2021) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2021.11.012 · Cited by 44
Gallego, D., Leal, F., Gámez, A., Castro, M., Navarrete, R., Sánchez‐Lijarcio, O., Vitoria, I., Bueno-Delgado, M. A., Bélanger-Quintana, A., Morais, A., et al. (2020) · Human Mutation · doi:10.1002/humu.24026 · Cited by 41
Korner, G., Noaín, D., Ying, M., Hole, M., Flydal, M. I., Scherer, T., Allegri, G., Rassi, A., Fingerhut, R., Becú‐Villalobos, D., et al. (2015) · Brain · doi:10.1093/brain/awv224 · Cited by 37
Self-citationThe co-chaperone DNAJC12 binds to Hsc70 and is upregulated by endoplasmic reticulum stress
Choi, J. S., Djebbar, S., Fournier, A., & Labrie, C. (2013) · Cell Stress and Chaperones · doi:10.1007/s12192-013-0471-6 · Cited by 34
Phenylalanine hydroxylase variants interact with the co‐chaperone DNAJC12
Jung‐KC, K., Himmelreich, N., Prestegård, K. S., Shi, T.-J. S., Scherer, T., Ying, M., Jorge‐Finnigan, A., Thöny, B., Blau, N., & Martı́nez, A. (2019) · Human Mutation · doi:10.1002/humu.23712 · Cited by 34
Self-citationParra‐Rivas, L. A., Baust, T. B., Smith, A. D., Jaumotte, J. D., Zigmond, M. J., Torres, S., Leak, R. K., Pino, J. A., & Torres, G. E. (2016) · Journal of Biological Chemistry · doi:10.1074/jbc.m116.728782 · Cited by 32
Regulation of Human Hsc70 ATPase and Chaperone Activities by Apg2: Role of the Acidic Subdomain
Cabrera, Y., Dublang, L., Fernández-Higuero, J. Á., Albesa-Jové, D., Lucas, M., Viguera, A. R., Guerin, M. E., Vilar, J. M. G., Muga, A., & Moro, F. (2018) · Journal of Molecular Biology · doi:10.1016/j.jmb.2018.11.026 · Cited by 30
Self-citationChaperISM: improved chaperone binding prediction using position-independent scoring matrices
Gutierres, M. B. B., Bonorino, C. B. C., & Rigo, M. M. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btz670 · Cited by 29
Regulatory inter-domain interactions influence Hsp70 recruitment to the DnaJB8 chaperone
Ryder, B. D., Matlahov, I., Bali, S., Vaquer‐Alicea, J., van der Wel, P. C. A., & Joachimiak, Ł. A. (2021) · Nature Communications · doi:10.1038/s41467-021-21147-x · Cited by 29
Ito, N., Kamiguchi, K., Nakanishi, K., Sokolovskaya, A., Hirohashi, Y., Tamura, Y., Murai, A., Yamamoto, E. M., Kanaseki, T., Tsukahara, T., et al. (2016) · Biochemical and Biophysical Research Communications · doi:10.1016/j.bbrc.2016.03.152 · Cited by 28
Stable preparations of tyrosine hydroxylase provide the solution structure of the full-length enzyme
Bezem, M. T., Baumann, A., Skjærven, L., Meyer, R., Kursula, P., Martı́nez, A., & Flydal, M. I. (2016) · Scientific Reports · doi:10.1038/srep30390 · Cited by 28
Self-citationHTSDSF Explorer, A Novel Tool to Analyze High-throughput DSF Screenings
Martín-Malpartida, P., Hausvik, E., Underhaug, J., Torner, C., Martínez, A., & Macías, M. J. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167372 · Cited by 28
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Cuéllar, J., Perales-Calvo, J., Muga, A., Valpuesta, J., & Moro, F. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.430595 · Cited by 27
Self-citationTroubleshooting Guide to Expressing Intrinsically Disordered Proteins for Use in NMR Experiments
Graether, S. P. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2018.00118 · Cited by 23
Kleppe, R., Rosati, S., Jorge‐Finnigan, A., Alvira, S., Ghorbani, S., Haavik, J., Valpuesta, J., Heck, A. J. R., & Martínez, A. (2014) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m113.035709 · Cited by 22
Self-citationMcMahon, S., Bergink, S., Kampinga, H. H., & Ecroyd, H. W. (2021) · Journal of Cell Science · doi:10.1242/jcs.255596 · Cited by 21
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Tai, M. D. S., Gamiz-Arco, G., & Martı́nez, A. (2024) · Biochemical Society Transactions · doi:10.1042/bst20231061 · Cited by 21
Self-citationBaumann, A., Jorge-Finnigan, A., Jung-KC, K., Sauter, A., Horvath, I., Morozova-Roche, L. A., & Martinez, A. (2016) · Scientific Reports · doi:10.1038/srep39488 · Cited by 20
Self-citationLee, J. E., Hahn, Y., Yun, J.-H., Mita, K., & Chung, J. H. (2000) · Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression · doi:10.1016/s0167-4781(00)00047-6 · Cited by 18
Velasco‐Carneros, L., Cuéllar, J., Dublang, L., Santiago, C. A., Maréchal, J., Martín‐Benito, J., Maestro-López, M., Fernández-Higuero, J. Á., Orozco, N., Moro, F., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41150-8 · Cited by 18
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Deng, I. B., Follett, J., Bu, M., & Farrer, M. J. (2023) · Movement Disorders · doi:10.1002/mds.29677 · Cited by 17
Cammarata, M. B., Macias, L. A., Rosenberg, J. A., Bolufer, A., & Brodbelt, J. S. (2018) · Analytical Chemistry · doi:10.1021/acs.analchem.7b04009 · Cited by 13
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Zhang, K., Pan, H., Zhao, Y., Wang, Y., Zeng, Q., Zhou, X. C., He, R., Zhou, X., Xiang, Y., Zhou, Z., et al. (2022) · Molecular Neurobiology · doi:10.1007/s12035-022-02920-5 · Cited by 13
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Deng, I. B., Follett, J., Fox, J. D., Wall, S. C., & Farrer, M. J. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.07.06.602343 · Cited by 2
Metadata
- Authors
- Tai, M. D. S., Ochoa, L., Flydal, M. I., Velasco-Carneros, L., Muntaner, J., Santiago, C., Gamiz-Arco, G., Moro, F., Jung-KC, K., Gil-Cantero, D., Marcilla, M., Kallio, J. P., Muga, A., Valpuesta, J. M., Cuéllar, J., & Martinez, A.
- Affiliations
- Haukeland University Hospital (NO)
- Centro Nacional de Biotecnología (ES)
- University of the Basque Country (ES)
- University of Bergen (NO)
- Consejo Superior de Investigaciones Científicas (ES)
- Corresponding author
- Valpuesta, José María
- Cuéllar, Jorge
- ORCID
- Venue
- Nature Communications
- Published
- 2025-03-20
- Volume
- 16
- Issue
- 1
- Pages
- 2755-2755
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC11926245
- OpenAlex
- W4408657677
- Cited by
- 16
- References
- 88
- Citations by year
- 2026: 9 · 2025: 5
- FWCI
- 8.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- creativecommons.org/licenses/by/4.0 (tdm)
- creativecommons.org/licenses/by/4.0 (vor)
- Locations
- Nature Communications (publishedVersion, cc-by)
- Research Square (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DIGITAL.CSIC (Spanish National Research Council (CSIC)) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Stiftelsen Kristian Gerhard Jebsen (SKJ-MED-02; Center for Research in Parkinson's Disease)
- L. Meltzers Høyskolefond ((Project 103578)
- Topics
- Health Sciences › Medicine › Clinical Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Heat shock proteins research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Ubiquitin and proteasome pathways
- Keywords
- tyrosine hydroxylase, Hsp40, protein-protein complex, protein stabilization, protein aggregation, Hsc70, dopamine synthesis, parkinsonism, protein structure
- MeSH terms
- Protein Domains, Dopamine, Humans, Models, Molecular, Protein Binding, Tyrosine 3-Monooxygenase, Cryoelectron Microscopy, HSC70 Heat-Shock Proteins, HSP40 Heat-Shock Proteins
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.