RTL8 Promotes Nuclear Localization of UBQLN2 to Subnuclear Compartments Associated with Protein Quality Control
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UBQLN2 Polyclonal Antibody C-Terminal Ubiquitin-Associated Domain
UBQLN2 polyclonal antibody C-terminal ubiquitin-associated domain. They physically associate with both proteasomes and ubiquitin ligases, Catalog Number: PAB1699 and thus thought to functionally link the ubiquitination machinery to the proteasome to affect in vivo protein Regulatory Status: For research use only (RUO) degradation. This ubiquilin has also been shown to bind the ATPase domain of the Hsp70-like Stch protein. Product Description: Rabbit polyclonal antibody raised [provided by RefSeq] against synthetic peptide of UBQLN2. References: Immunogen: A synthetic peptide (conjugated with KLH) 1. Structural studies of the interaction between ubiquitin corresponding to C-terminus of human UBQLN2. family proteins and proteasome subunit S5a. Walters KJ, Kleijnen MF, Goh AM, Wagner G, Howley PM. Host: Rabbit Biochemistry. 2002 Feb 12;41(6):1767-77. 2. The hPLIC proteins may provide a link between the Reactivity: Human ubiquitination machinery and the proteasome. Kleijnen Applications: WB-Ce MF, Shih AH, Zhou P, Kumar S, Soccio RE, Kedersha (See our web site product page for detailed applications NL, Gill G, Howley PM. Mol Cell. 2000 Aug;6(2):409-19. information) 3. Selection system for genes encoding nuclear-targeted proteins. Ueki N, Oda T, Kondo M, Yano K, Noguchi T, Protocols: See our web site at Muramatsu M. Nat Biotechnol. 1998 http://www.abnova.com/support/protocols.asp or product Dec;16(13):1338-42. page for detailed protocols Form: Liquid Purification: Protein G purification Recommend Usage: Western Blot (1:1000) The optimal working dilution should be determined by the end user. Storage Buffer: In PBS (0.09% sodium azide) Storage Instruction: Store at 4°C. -
Pathognomonic and Epistatic Genetic Alterations in B-Cell Non-Hodgkin
bioRxiv preprint doi: https://doi.org/10.1101/674259; this version posted June 19, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Pathognomonic and epistatic genetic alterations in 2 B-cell non-Hodgkin lymphoma 3 4 Man Chun John Ma1¥, Saber Tadros1¥, Alyssa Bouska2, Tayla B. Heavican2, Haopeng Yang1, 5 Qing Deng1, Dalia Moore3, Ariz Akhter4, Keenan Hartert3, Neeraj Jain1, Jordan Showell1, 6 Sreejoyee Ghosh1, Lesley Street5, Marta Davidson5, Christopher Carey6, Joshua Tobin7, 7 Deepak Perumal8, Julie M. Vose9, Matthew A. Lunning9, Aliyah R. Sohani10, Benjamin J. 8 Chen11, Shannon Buckley12, Loretta J. Nastoupil1, R. Eric Davis1, Jason R. Westin1, Nathan H. 9 Fowler1, Samir Parekh8, Maher K. Gandhi7, Sattva S. Neelapu1, Douglas Stewart5, Javeed 10 Iqbal2, Timothy Greiner2, Scott J. Rodig13, Adnan Mansoor5, Michael R. Green1,14,15* 11 1Department of Lymphoma and Myeloma, Division of Cancer Medicine, The University of Texas MD 12 Anderson Cancer Center, Houston, TX, USA; 2Department of Pathology and Microbiology, University of 13 Nebraska Medical Center, Omaha, NE, USA; 3Eppley Institute for Research in Cancer and Allied 14 Diseases, University of Nebraska Medical Center, Omaha, NE, USA; 4Department of Pathology and 15 Laboratory Medicine, University of Calgary, Calgary, AB, Canada; 5Section of Hematology, Department of 16 Medicine, University -
Nuclear Export of Ubiquitinated Proteins Via the UBIN-POST System
Nuclear export of ubiquitinated proteins via the PNAS PLUS UBIN-POST system Shoshiro Hirayamaa,1,2, Munechika Sugiharab,1, Daisuke Moritoc,d, Shun-ichiro Iemurae, Tohru Natsumee, Shigeo Murataa, and Kazuhiro Nagatab,c,d,2 aLaboratory of Protein Metabolism, Graduate School of Pharmaceutical Sciences, University of Tokyo, Tokyo, 113-0033, Japan; bFaculty of Life Sciences, Kyoto Sangyo University, Kyoto, 603-8555, Japan; cInstitute for Protein Dynamics, Kyoto Sangyo University, Kyoto, 603-8555, Japan; dCore Research for Evolutional Science and Technology (CREST), Japan Science and Technology Agency, Saitama, 332-0012, Japan; and eBiomedicinal Information Research Center, National Institute of Advanced Industrial Science and Technology, Tokyo, 135-0064, Japan Edited by Brenda A. Schulman, Max Planck Institute of Biochemistry, Martinsried, Germany, and approved March 19, 2018 (received for review June 19, 2017) Although mechanisms for protein homeostasis in the cytosol have folding enzymes with a broad range of activities, two strong and been studied extensively, those in the nucleus remain largely flexible proteolytic machineries (namely, the UPS and autophagy), unknown. Here, we identified that a protein complex mediates and regulated protein deposition systems, such as the aggresome, export of polyubiquitinated proteins from the nucleus to the aggresome-like induced structure (ALIS), insoluble protein de- cytosol. UBIN, a ubiquitin-associated (UBA) domain-containing pro- posit (IPOD), and juxta nuclear quality control compartment tein, shuttled between the nucleus and the cytosol in a CRM1- (JUNQ), which sequester damaged proteins (9–11). Thus, the dependent manner, despite the lack of intrinsic nuclear export signal cytosol constitutes a robust system for maintaining protein ho- (NES). Instead, the UBIN binding protein polyubiquitinated substrate meostasis that extends to distinct organelles within the cytosol. -
Machine Learning Models for Predicting Protein Condensate Formation from Sequence Determinants and Embeddings
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.26.354753; this version posted October 26, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Machine learning models for predicting protein condensate formation from sequence determinants and embeddings Kadi L. Saar,1;2;† Alexey S. Morgunov,1;3;† Runzhang Qi,1 William E. Arter,1 Georg Krainer,1 Alpha A. Lee2 & Tuomas P. J. Knowles1;2;∗ 1 Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, UK 2 Cavendish Laboratory, Department of Physics, University of Cambridge, J J Thomson Ave, Cambridge CB3 0HE, UK 3 Fluidic Analytics, Unit A, The Paddocks Business Centre, Cherry Hinton Rd, Cambridge CB1 8DH, UK † These authors contributed equally ∗ To whom correspondence should be addressed: [email protected] Abstract Intracellular phase separation of proteins into biomolecular condensates is increasingly recognised as an important phenomenon for cellular compartmentalisation and regulation of biological function. Different hypotheses about the parameters that determine the ten- dency of proteins to form condensates have been proposed with some of them probed ex- perimentally through the use of constructs generated by sequence alterations. To broaden the scope of these observations, here, we established an in silico strategy for understanding on a global level the associations between protein sequence and condensate formation, and used this information to construct machine learning classifiers for predicting liquid–liquid phase separation (LLPS) from protein sequence. -
RTL8 Promotes Nuclear Localization of UBQLN2 to Subnuclear Compartments Associated with Protein Quality Control
bioRxiv preprint doi: https://doi.org/10.1101/2021.04.21.440788; this version posted April 22, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Title: RTL8 promotes nuclear localization of UBQLN2 to subnuclear compartments associated with protein quality control Harihar Milaganur Mohan1,2, Amit Pithadia1, Hanna Trzeciakiewicz1, Emily V. Crowley1, Regina Pacitto1 Nathaniel Safren1,3, Chengxin Zhang4, Xiaogen Zhou4, Yang Zhang4, Venkatesha Basrur5, Henry L. Paulson1,*, Lisa M. Sharkey1,* 1. Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200 2. Graduate Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, MI 48109- 2200 3. Present address: Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611 4. Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2200 5. Department of Pathology, University of Michigan Medical School, Ann Arbor, MI 48109. *Corresponding authors: Henry Paulson: Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200; [email protected]; Tel. (734) 615-5632; Fax. (734) 615-5655 Lisa M Sharkey: Department of Neurology, University of Michigan, Ann Arbor, MI 48109-2200; [email protected]; Tel. (734) 763-3496; Fax (734) 615-5655 Keywords: Ubiquilin, UBQLN2, RTL8, Nuclear Protein Quality Control, Ubiquitin Proteasome System Declarations Funding: This work was supported by NIH 9R01NS096785-06, 1P30AG053760-01, The Amyotrophic Lateral Sclerosis Foundation and the UM Protein Folding Disease Initiative. Conflicts of interest/Competing interests: None declared Availability of data and material: • The authors confirm that the data supporting the findings in this are available within the article, at repository links provided within the article, and within its supplementary files. -
(Stch) Gene Reduces Prion Disease Incubation Time in Mice
Overexpression of the Hspa13 (Stch) gene reduces prion disease incubation time in mice Julia Grizenkovaa,b, Shaheen Akhtara,b, Holger Hummericha,b, Andrew Tomlinsona,b, Emmanuel A. Asantea,b, Adam Wenborna,b, Jérémie Fizeta,b, Mark Poultera,b, Frances K. Wisemanb, Elizabeth M. C. Fisherb, Victor L. J. Tybulewiczc, Sebastian Brandnerb, John Collingea,b, and Sarah E. Lloyda,b,1 aMedical Research Council (MRC) Prion Unit and bDepartment of Neurodegenerative Disease, University College London (UCL) Institute of Neurology, London WC1N 3BG, United Kingdom; and cDivision of Immune Cell Biology, MRC National Institute for Medical Research, London NW7 1AA, United Kingdom Edited by Reed B. Wickner, National Institutes of Health, Bethesda, MD, and approved July 10, 2012 (received for review May 28, 2012) Prion diseases are fatal neurodegenerative disorders that include way crosses and a heterogeneous cross (12–14). In these studies, bovine spongiform encephalopathy (BSE) and scrapie in animals the underlying functional polymorphism is unknown but could be and Creutzfeldt-Jakob disease (CJD) in humans. They are character- an amino acid change within the coding region of a protein or ized by long incubation periods, variation in which is determined by splicing variant or may occur within noncoding sequences such as many factors including genetic background. In some cases it is pos- untranslated regions, promoters, or other regulatory regions sible that incubation time may be directly correlated to the level of thereby influencing the pattern or level of expression. Although gene expression. To test this hypothesis, we combined incubation incubation time is a polygenic trait, it is possible that in some cases, time data from five different inbred lines of mice with quantitative there may be a direct correlation between incubation time and gene expression profiling in normal brains and identified five genes individual gene expression level. -
The Ubiquitin Proteasome System in Neuromuscular Disorders: Moving Beyond Movement
International Journal of Molecular Sciences Review The Ubiquitin Proteasome System in Neuromuscular Disorders: Moving Beyond Movement 1, , 2, 3,4 Sara Bachiller * y , Isabel M. Alonso-Bellido y , Luis Miguel Real , Eva María Pérez-Villegas 5 , José Luis Venero 2 , Tomas Deierborg 1 , José Ángel Armengol 5 and Rocío Ruiz 2 1 Experimental Neuroinflammation Laboratory, Department of Experimental Medical Science, Lund University, Sölvegatan 19, 221 84 Lund, Sweden; [email protected] 2 Departamento de Bioquímica y Biología Molecular, Facultad de Farmacia, Universidad de Sevilla/Instituto de Biomedicina de Sevilla-Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, 41012 Sevilla, Spain; [email protected] (I.M.A.-B.); [email protected] (J.L.V.); [email protected] (R.R.) 3 Unidad Clínica de Enfermedades Infecciosas, Hospital Universitario de Valme, 41014 Sevilla, Spain; [email protected] 4 Departamento de Especialidades Quirúrgicas, Bioquímica e Inmunología, Facultad de Medicina, 29071 Universidad de Málaga, Spain 5 Departamento de Fisiología, Anatomía y Biología Celular, Universidad Pablo de Olavide, 41013 Sevilla, Spain; [email protected] (E.M.P.-V.); [email protected] (J.Á.A.) * Correspondence: [email protected] These authors contributed equally to the work. y Received: 14 July 2020; Accepted: 31 August 2020; Published: 3 September 2020 Abstract: Neuromuscular disorders (NMDs) affect 1 in 3000 people worldwide. There are more than 150 different types of NMDs, where the common feature is the loss of muscle strength. These disorders are classified according to their neuroanatomical location, as motor neuron diseases, peripheral nerve diseases, neuromuscular junction diseases, and muscle diseases. Over the years, numerous studies have pointed to protein homeostasis as a crucial factor in the development of these fatal diseases. -
Development and Validation of a Serum Biomarker Panel for The
Journal of Cancer 2017, Vol. 8 2346 Ivyspring International Publisher Journal of Cancer 2017; 8(12): 2346-2355. doi: 10.7150/jca.19465 Research Paper Development and Validation of a Serum Biomarker Panel for the Detection of Esophageal Squamous Cell Carcinoma through RNA Transcriptome Sequencing Shan Xing1,2†, Xin Zheng1,2†, Li-Qiang Wei4†, Shi-Jian Song5, Dan Liu1,3, Ning Xue1,3, Xiao-Min Liu1,2, Mian-Tao Wu1,2, Qian Zhong1,3, Chu-Mei Huang6, Mu-Sheng Zeng1,3, Wan-Li Liu1,2 1. State Key Laboratory of Oncology in Southern China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China 2. Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, Guangzhou, China 3. Department of Experimental Research, Sun Yat-sen University cancer center, Guangzhou, China 4. Department of Clinical Laboratory, Shaanxi Provincial People’s Hospital, Xian, China 5. Guangdong Experimental High School, Guangzhou, China 6. Department of Laboratory Medicine, Sun Yat-sen University First Affiliated Hospital, Guangzhou, China † Xing S, Zheng X and Wei LQ contributed equally to this work Corresponding authors: Wan-Li Liu. Email: [email protected]; Phone: 86-020-87343196. Department of Clinical Laboratory, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East,Guangzhou 510060, P.R. China. Mu-Sheng Zeng; Email: [email protected] Phone: +86-020-87343192. Department of Experimental Research, Sun Yat-sen University cancer center, 651 Dongfeng Road East,Guangzhou 510060, P.R.China © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). -
E-Mutpath: Computational Modelling Reveals the Functional Landscape of Genetic Mutations Rewiring Interactome Networks
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.22.262386; this version posted August 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. e-MutPath: Computational modelling reveals the functional landscape of genetic mutations rewiring interactome networks Yongsheng Li1, Daniel J. McGrail1, Brandon Burgman2,3, S. Stephen Yi2,3,4,5 and Nidhi Sahni1,6,7,8,* 1Department oF Systems Biology, The University oF Texas MD Anderson Cancer Center, Houston, TX 77030, USA 2Department oF Oncology, Livestrong Cancer Institutes, Dell Medical School, The University oF Texas at Austin, Austin, TX 78712, USA 3Institute For Cellular and Molecular Biology (ICMB), The University oF Texas at Austin, Austin, TX 78712, USA 4Institute For Computational Engineering and Sciences (ICES), The University oF Texas at Austin, Austin, TX 78712, USA 5Department oF Biomedical Engineering, Cockrell School of Engineering, The University oF Texas at Austin, Austin, TX 78712, USA 6Department oF Epigenetics and Molecular Carcinogenesis, The University oF Texas MD Anderson Science Park, Smithville, TX 78957, USA 7Department oF BioinFormatics and Computational Biology, The University oF Texas MD Anderson Cancer Center, Houston, TX 77030, USA 8Program in Quantitative and Computational Biosciences (QCB), Baylor College oF Medicine, Houston, TX 77030, USA *To whom correspondence should be addressed. Nidhi Sahni. Tel: +1 512 2379506; Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.22.262386; this version posted August 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Aggresomal Sequestration and STUB1-Mediated Ubiquitylation During Mammalian Proteaphagy of Inhibited Proteasomes
Aggresomal sequestration and STUB1-mediated ubiquitylation during mammalian proteaphagy of inhibited proteasomes Won Hoon Choia,b, Yejin Yuna,b, Seoyoung Parka,c, Jun Hyoung Jeona,b, Jeeyoung Leea,b, Jung Hoon Leea,c, Su-A Yangd, Nak-Kyoon Kime, Chan Hoon Jungb, Yong Tae Kwonb, Dohyun Hanf, Sang Min Lime, and Min Jae Leea,b,c,1 aDepartment of Biochemistry and Molecular Biology, Seoul National University College of Medicine, 03080 Seoul, Korea; bDepartment of Biomedical Sciences, Seoul National University Graduate School, 03080 Seoul, Korea; cNeuroscience Research Institute, Seoul National University College of Medicine, 03080 Seoul, Korea; dScience Division, Tomocube, 34109 Daejeon, Korea; eConvergence Research Center for Diagnosis, Korea Institute of Science and Technology, 02792 Seoul, Korea; and fProteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 03080 Seoul, Korea Edited by Richard D. Vierstra, Washington University in St. Louis, St. Louis, MO, and approved July 1, 2020 (received for review November 18, 2019) The 26S proteasome, a self-compartmentalized protease complex, additional LC3-interacting region; the target cargoes can be plays a crucial role in protein quality control. Multiple levels of docked onto phosphatidylethanolamine-modified LC3 (LC3-II) regulatory systems modulate proteasomal activity for substrate on the expanding phagophore membrane, enveloped by an hydrolysis. However, the destruction mechanism of mammalian autophagosome, and eventually degraded in the autolysosomes. proteasomes is poorly understood. We found that inhibited pro- Notably, the enzymatic cascade attaching the lipid moiety at the teasomes are sequestered into the insoluble aggresome via C-terminal glycine of the cleaved LC3 protein in autophagy re- HDAC6- and dynein-mediated transport. -
Deciphering the Molecular Profile of Plaques, Memory Decline And
ORIGINAL RESEARCH ARTICLE published: 16 April 2014 AGING NEUROSCIENCE doi: 10.3389/fnagi.2014.00075 Deciphering the molecular profile of plaques, memory decline and neuron loss in two mouse models for Alzheimer’s disease by deep sequencing Yvonne Bouter 1†,Tim Kacprowski 2,3†, Robert Weissmann4, Katharina Dietrich1, Henning Borgers 1, Andreas Brauß1, Christian Sperling 4, Oliver Wirths 1, Mario Albrecht 2,5, Lars R. Jensen4, Andreas W. Kuss 4* andThomas A. Bayer 1* 1 Division of Molecular Psychiatry, Georg-August-University Goettingen, University Medicine Goettingen, Goettingen, Germany 2 Department of Bioinformatics, Institute of Biometrics and Medical Informatics, University Medicine Greifswald, Greifswald, Germany 3 Department of Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany 4 Human Molecular Genetics, Department for Human Genetics of the Institute for Genetics and Functional Genomics, Institute for Human Genetics, University Medicine Greifswald, Ernst-Moritz-Arndt University Greifswald, Greifswald, Germany 5 Institute for Knowledge Discovery, Graz University of Technology, Graz, Austria Edited by: One of the central research questions on the etiology of Alzheimer’s disease (AD) is the Isidro Ferrer, University of Barcelona, elucidation of the molecular signatures triggered by the amyloid cascade of pathological Spain events. Next-generation sequencing allows the identification of genes involved in disease Reviewed by: Isidro Ferrer, University of Barcelona, processes in an unbiased manner. We have combined this technique with the analysis of Spain two AD mouse models: (1) The 5XFAD model develops early plaque formation, intraneu- Dietmar R. Thal, University of Ulm, ronal Ab aggregation, neuron loss, and behavioral deficits. (2)TheTg4–42 model expresses Germany N-truncated Ab4–42 and develops neuron loss and behavioral deficits albeit without plaque *Correspondence: formation. -
Roles of Xbp1s in Transcriptional Regulation of Target Genes
biomedicines Review Roles of XBP1s in Transcriptional Regulation of Target Genes Sung-Min Park , Tae-Il Kang and Jae-Seon So * Department of Medical Biotechnology, Dongguk University, Gyeongju 38066, Gyeongbuk, Korea; [email protected] (S.-M.P.); [email protected] (T.-I.K.) * Correspondence: [email protected] Abstract: The spliced form of X-box binding protein 1 (XBP1s) is an active transcription factor that plays a vital role in the unfolded protein response (UPR). Under endoplasmic reticulum (ER) stress, unspliced Xbp1 mRNA is cleaved by the activated stress sensor IRE1α and converted to the mature form encoding spliced XBP1 (XBP1s). Translated XBP1s migrates to the nucleus and regulates the transcriptional programs of UPR target genes encoding ER molecular chaperones, folding enzymes, and ER-associated protein degradation (ERAD) components to decrease ER stress. Moreover, studies have shown that XBP1s regulates the transcription of diverse genes that are involved in lipid and glucose metabolism and immune responses. Therefore, XBP1s has been considered an important therapeutic target in studying various diseases, including cancer, diabetes, and autoimmune and inflammatory diseases. XBP1s is involved in several unique mechanisms to regulate the transcription of different target genes by interacting with other proteins to modulate their activity. Although recent studies discovered numerous target genes of XBP1s via genome-wide analyses, how XBP1s regulates their transcription remains unclear. This review discusses the roles of XBP1s in target genes transcriptional regulation. More in-depth knowledge of XBP1s target genes and transcriptional regulatory mechanisms in the future will help develop new therapeutic targets for each disease. Citation: Park, S.-M.; Kang, T.-I.; Keywords: XBP1s; IRE1; ATF6; ER stress; unfolded protein response; UPR; RIDD So, J.-S.