CAND1-Dependent Control of Cullin 1-RING Ub Ligases Is Essential for Adipogenesis
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The Human Dcn1-Like Protein DCNL3 Promotes Cul3 Neddylation at Membranes
The human Dcn1-like protein DCNL3 promotes Cul3 neddylation at membranes Nathalie Meyer-Schallera, Yang-Chieh Choub,c, Izabela Sumaraa, Dale D. O. Martind, Thimo Kurza, Nadja Kathedera, Kay Hofmanne, Luc G. Berthiaumed, Frank Sicherib,c, and Matthias Petera,1 aInstitute of Biochemistry, Eidgeno¨ssiche Technische Hochschule, 8093 Zurich, Switzerland; bCenter for Systems Biology, Samuel Lunenfeld Research Institute, Toronto, ON, Canada M5G 1X5; cDepartment of Molecular Genetics, University of Toronto, Toronto, ON, Canada M5S 1A8; dDepartment of Cell Biology, University of Alberta, Edmonton, AB, Canada T6G 2H7; and eBioinformatics Group, Miltenyi Biotec, 51429 Bergisch-Gladbach, Germany Edited by Michael Rape, University of California, Berkeley, CA, and accepted by the Editorial Board June 9, 2009 (received for review December 9, 2008) Cullin (Cul)-based E3 ubiquitin ligases are activated through the enzyme and promotes Nedd8 conjugation through formation of attachment of Nedd8 to the Cul protein. In yeast, Dcn1 (defective this complex (14, 15). Human cells harbor 5 Dcn1-like proteins in Cul neddylation 1 protein) functions as a scaffold-like Nedd8 termed DCNL1–DCNL5 (also named DCUN1D 1–5 for defec- E3-ligase by interacting with its Cul substrates and the Nedd8 E2 tive in Cul neddylation 1 domain-containing protein 1–5) (Fig. Ubc12. Human cells express 5 Dcn1-like (DCNL) proteins each S1). These DCNLs have distinct amino-terminal domains, but containing a C-terminal potentiating neddylation domain but dis- share a conserved C-terminal potentiating neddylation (PONY) tinct amino-terminal extensions. Although the UBA-containing domain, which in yeast Dcn1 is necessary and sufficient for Cul DCNL1 and DCNL2 are likely functional homologues of yeast Dcn1, neddylation in vivo and in vitro (14). -
An Integrative, Genomic, Transcriptomic and Network-Assisted
Yan et al. BMC Medical Genomics 2020, 13(Suppl 5):39 https://doi.org/10.1186/s12920-020-0675-4 RESEARCH Open Access An integrative, genomic, transcriptomic and network-assisted study to identify genes associated with human cleft lip with or without cleft palate Fangfang Yan1†, Yulin Dai1†, Junichi Iwata2,3, Zhongming Zhao1,4,5* and Peilin Jia1* From The International Conference on Intelligent Biology and Medicine (ICIBM) 2019 Columbus, OH, USA. 9-11 June 2019 Abstract Background: Cleft lip with or without cleft palate (CL/P) is one of the most common congenital human birth defects. A combination of genetic and epidemiology studies has contributed to a better knowledge of CL/P-associated candidate genes and environmental risk factors. However, the etiology of CL/P remains not fully understood. In this study, to identify new CL/P-associated genes, we conducted an integrative analysis using our in-house network tools, dmGWAS [dense module search for Genome-Wide Association Studies (GWAS)] and EW_dmGWAS (Edge-Weighted dmGWAS), in a combination with GWAS data, the human protein-protein interaction (PPI) network, and differential gene expression profiles. Results: A total of 87 genes were consistently detected in both European and Asian ancestries in dmGWAS. There were 31.0% (27/87) showed nominal significance with CL/P (gene-based p < 0.05), with three genes showing strong association signals, including KIAA1598, GPR183,andZMYND11 (p <1×10− 3). In EW_dmGWAS, we identified 253 and 245 module genes associated with CL/P for European ancestry and the Asian ancestry, respectively. Functional enrichment analysis demonstrated that these genes were involved in cell adhesion, protein localization to the plasma membrane, the regulation of the apoptotic signaling pathway, and other pathological conditions. -
Neddylation: a Novel Modulator of the Tumor Microenvironment Lisha Zhou1,2*†, Yanyu Jiang3†, Qin Luo1, Lihui Li1 and Lijun Jia1*
Zhou et al. Molecular Cancer (2019) 18:77 https://doi.org/10.1186/s12943-019-0979-1 REVIEW Open Access Neddylation: a novel modulator of the tumor microenvironment Lisha Zhou1,2*†, Yanyu Jiang3†, Qin Luo1, Lihui Li1 and Lijun Jia1* Abstract Neddylation, a post-translational modification that adds an ubiquitin-like protein NEDD8 to substrate proteins, modulates many important biological processes, including tumorigenesis. The process of protein neddylation is overactivated in multiple human cancers, providing a sound rationale for its targeting as an attractive anticancer therapeutic strategy, as evidence by the development of NEDD8-activating enzyme (NAE) inhibitor MLN4924 (also known as pevonedistat). Neddylation inhibition by MLN4924 exerts significantly anticancer effects mainly by triggering cell apoptosis, senescence and autophagy. Recently, intensive evidences reveal that inhibition of neddylation pathway, in addition to acting on tumor cells, also influences the functions of multiple important components of the tumor microenvironment (TME), including immune cells, cancer-associated fibroblasts (CAFs), cancer-associated endothelial cells (CAEs) and some factors, all of which are crucial for tumorigenesis. Here, we briefly summarize the latest progresses in this field to clarify the roles of neddylation in the TME, thus highlighting the overall anticancer efficacy of neddylaton inhibition. Keywords: Neddylation, Tumor microenvironment, Tumor-derived factors, Cancer-associated fibroblasts, Cancer- associated endothelial cells, Immune cells Introduction Overall, binding of NEDD8 molecules to target proteins Neddylation is a reversible covalent conjugation of an can affect their stability, subcellular localization, conform- ubiquitin-like molecule NEDD8 (neuronal precursor ation and function [4]. The best-characterized substrates cell-expressed developmentally down-regulated protein of neddylation are the cullin subunits of Cullin-RING li- 8) to a lysine residue of the substrate protein [1, 2]. -
And CAND1-Dependent Remodelling of the Budding Yeast SCF Complex
ARTICLE Received 31 Jan 2013 | Accepted 20 Feb 2013 | Published 27 Mar 2013 DOI: 10.1038/ncomms2628 OPEN CSN- and CAND1-dependent remodelling of the budding yeast SCF complex Aleksandra Zemla1, Yann Thomas1, Sylwia Kedziora1, Axel Knebel1, Nicola T Wood1, Gwenae¨l Rabut2 & Thimo Kurz1 Cullin–RING ligases (CRLs) are ubiquitin E3 enzymes with variable substrate-adaptor and -receptor subunits. All CRLs are activated by modification of the cullin subunit with the ubiquitin-like protein Nedd8 (neddylation). The protein CAND1 (Cullin-associated-Nedd8- dissociated-1) also promotes CRL activity, even though it only interacts with inactive ligase complexes. The molecular mechanism underlying this behaviour remains largely unclear. Here, we find that yeast SCF (Skp1–Cdc53–F-box) Cullin–RING complexes are remodelled in a CAND1-dependent manner, when cells are switched from growth in fermentable to non-fermentable carbon sources. Mechanistically, CAND1 promotes substrate adaptor release following SCF deneddylation by the COP9 signalosome (CSN). CSN- or CAND1- mutant cells fail to release substrate adaptors. This delays the formation of new complexes during SCF reactivation and results in substrate degradation defects. Our results shed light on how CAND1 regulates CRL activity and demonstrate that the cullin neddylation– deneddylation cycle is not only required to activate CRLs, but also to regulate substrate specificity through dynamic substrate adaptor exchange. 1 Scottish Institute for Cell Signalling, Protein Ubiquitylation Unit, College of Life Sciences, University of Dundee, Dow Street, Dundee DD1 5EH, Scotland, UK. 2 CNRS, Universite´ Rennes 1, Institut de Ge´ne´tique et De´veloppement de Rennes, 2 avenue du Professeur Le´on Bernard, CS 34317, Rennes Cedex 35043, France. -
DDB1 Functions As a Linker to Recruit Receptor WD40 Proteins to CUL4− ROC1 Ubiquitin Ligases
Downloaded from genesdev.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press RESEARCH COMMUNICATION domain to bind with a conserved protein motif, the F DDB1 functions as a linker box, which, via its additional protein–protein interaction to recruit receptor WD40 modules, recruits various substrates, often phosphory- lated, to the CUL1–ROC1 catalytic core. To bring spe- proteins to CUL4–ROC1 cific substrates to CUL2- and CUL5-dependent ligases, a ubiquitin ligases heterodimeric linker complex containing elongins B and C binds simultaneously to an analogous N-terminal do- Yizhou Joseph He, Chad M. McCall, Jian Hu, main in CUL2 and CUL5 and to two similar protein 1 motifs, the VHL box and SOCS box. VHL and SOCS pro- Yaxue Zeng, and Yue Xiong teins, via their additional protein–protein interaction Lineberger Comprehensive Cancer Center, Department of modules, target various substrates differentially to the Biochemistry and Biophysics, Program in Molecular Biology CUL2–ROC1 or CUL5–ROC2 catalytic cores (Kamura et and Biotechnology, University of North Carolina, Chapel Hill, al. 1998, 2001, 2004; Stebbins et al. 1999; Zhang et al. North Carolina 27599, USA 1999). Omitting a linker, CUL3 utilizes its N-terminal domain to bind to proteins with a conserved 100-residue Cullins assemble the largest family of ubiquitin ligases protein motif known as a BTB domain, which, via addi- by binding with ROC1 and various substrate receptors. tional protein–protein interaction domains, then target CUL4 function is linked with many cellular processes, various substrates to the CUL3–ROC1 catalytic core (Fu- rukawa et al. 2003; Geyer et al. -
Double Minute Chromosomes in Glioblastoma Multiforme Are Revealed by Precise Reconstruction of Oncogenic Amplicons
Published OnlineFirst August 12, 2013; DOI: 10.1158/0008-5472.CAN-13-0186 Cancer Tumor and Stem Cell Biology Research Double Minute Chromosomes in Glioblastoma Multiforme Are Revealed by Precise Reconstruction of Oncogenic Amplicons J. Zachary Sanborn1,2,Sofie R. Salama2,3, Mia Grifford2, Cameron W. Brennan4, Tom Mikkelsen6, Suresh Jhanwar5, Sol Katzman2, Lynda Chin7, and David Haussler2,3 Abstract DNA sequencing offers a powerful tool in oncology based on the precise definition of structural rearrange- ments and copy number in tumor genomes. Here, we describe the development of methods to compute copy number and detect structural variants to locally reconstruct highly rearranged regions of the tumor genome with high precision from standard, short-read, paired-end sequencing datasets. We find that circular assemblies are the most parsimonious explanation for a set of highly amplified tumor regions in a subset of glioblastoma multiforme samples sequenced by The Cancer Genome Atlas (TCGA) consortium, revealing evidence for double minute chromosomes in these tumors. Further, we find that some samples harbor multiple circular amplicons and, in some cases, further rearrangements occurred after the initial amplicon-generating event. Fluorescence in situ hybridization analysis offered an initial confirmation of the presence of double minute chromosomes. Gene content in these assemblies helps identify likely driver oncogenes for these amplicons. RNA-seq data available for one double minute chromosome offered additional support for our local tumor genome assemblies, and identified the birth of a novel exon made possible through rearranged sequences present in the double minute chromosomes. Our method was also useful for analysis of a larger set of glioblastoma multiforme tumors for which exome sequencing data are available, finding evidence for oncogenic double minute chromosomes in more than 20% of clinical specimens examined, a frequency consistent with previous estimates. -
Partial Least Squares Based Gene Expression Analysis in Renal Failure Shuang Ding, Yinhai Xu, Tingting Hao and Ping Ma*
Ding et al. Diagnostic Pathology 2014, 9:137 http://www.diagnosticpathology.org/content/9/1/137 RESEARCH Open Access Partial least squares based gene expression analysis in renal failure Shuang Ding, Yinhai Xu, Tingting Hao and Ping Ma* Abstract Background: Preventive and therapeutic options for renal failure are still limited. Gene expression profile analysis is powerful in the identification of biological differences between end stage renal failure patients and healthy controls. Previous studies mainly used variance/regression analysis without considering various biological, environmental factors. The purpose of this study is to investigate the gene expression difference between end stage renal failure patients and healthy controls with partial least squares (PLS) based analysis. Methods: With gene expression data from the Gene Expression Omnibus database, we performed PLS analysis to identify differentially expressed genes. Enrichment and network analyses were also carried out to capture the molecular signatures of renal failure. Results: We acquired 573 differentially expressed genes. Pathway and Gene Ontology items enrichment analysis revealed over-representation of dysregulated genes in various biological processes. Network analysis identified seven hub genes with degrees higher than 10, including CAND1, CDK2, TP53, SMURF1, YWHAE, SRSF1,andRELA.Proteins encoded by CDK2, TP53,andRELA have been associated with the progression of renal failure in previous studies. Conclusions: Our findings shed light on expression character of renal failure patients with the hope to offer potential targets for future therapeutic studies. Virtual Slides: The virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/ 1450799302127207 Keywords: Renal failure, Partial least squares, Gene expression, Network Background detect dysregulated genes. -
Anti-DCUN1D1 Antibody (ARG65153)
Product datasheet [email protected] ARG65153 Package: 100 μg anti-DCUN1D1 antibody Store at: -20°C Summary Product Description Goat Polyclonal antibody recognizes DCUN1D1 Tested Reactivity Hu Predict Reactivity Ms, Cow Tested Application IHC-P, WB Host Goat Clonality Polyclonal Isotype IgG Target Name DCUN1D1 Antigen Species Human Immunogen C-RPQIAGTKSTT Conjugation Un-conjugated Alternate Names SCRO; RP42; Defective in cullin neddylation protein 1-like protein 1; Squamous cell carcinoma-related oncogene; DCUN1 domain-containing protein 1; SCCRO; DCN1-like protein 1; DCUN1L1; DCNL1; Tes3 Application Instructions Application table Application Dilution IHC-P 5 - 10 µg/ml WB 0.3 - 1 µg/ml Application Note IHC-P: Antigen Retrieval: Steam tissue section in Citrate buffer (pH 6.0). WB: Recommend incubate at RT for 1h. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 30 kDa Properties Form Liquid Purification Purified from goat serum by ammonium sulphate precipitation followed by antigen affinity chromatography using the immunizing peptide. Buffer Tris saline (pH 7.3), 0.02% Sodium azide and 0.5% BSA Preservative 0.02% Sodium azide Stabilizer 0.5% BSA Concentration 0.5 mg/ml www.arigobio.com 1/2 Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. -
Structural Basis for Dimerization Quality Control
Published as: Nature. 2020 October ; 586(7829): 452–456. HHMI Author ManuscriptHHMI Author Manuscript HHMI Author Manuscript HHMI Author Structural basis for dimerization quality control Elijah L. Mena1, Predrag Jevtić1,2,*, Basil J. Greber3,4,*, Christine L. Gee1,2,*, Brandon G. Lew1,2, David Akopian1, Eva Nogales1,2,3,4, John Kuriyan1,2,3,4,5, Michael Rape1,2,3,# 1Department of Molecular and Cell Biology, University of California at Berkeley, Berkeley CA 94720, USA 2Howard Hughes Medical Institute, University of California at Berkeley, Berkeley CA 94720, USA 3California Institute for Quantitative Biosciences (QB3), University of California at Berkeley, Berkeley, CA 94720, USA 4Molecular Biophysics and Integrative Bio-Imaging Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA 5Department of Chemistry, University of California at Berkeley, Berkeley CA 94720, USA Abstract Most quality control pathways target misfolded proteins to prevent toxic aggregation and neurodegeneration 1. Dimerization quality control (DQC) further improves proteostasis by eliminating complexes of aberrant composition 2, yet how it detects incorrect subunits is still unknown. Here, we provide structural insight into target selection by SCFFBXL17, a DQC E3 ligase that ubiquitylates and helps degrade inactive heterodimers of BTB proteins, while sparing functional homodimers. We find that SCFFBXL17 disrupts aberrant BTB dimers that fail to stabilize an intermolecular β-sheet around a highly divergent β-strand of the BTB domain. Complex dissociation allows SCFFBXL17 to wrap around a single BTB domain for robust ubiquitylation. SCFFBXL17 therefore probes both shape and complementarity of BTB domains, a mechanism that is well suited to establish quality control of complex composition for recurrent interaction modules. -
ANALYSIS and DATA INTEGRATION a Dissertation Submitted in Partial Satisfaction of the Requirements for the Degree Of
UNIVERSITY OF CALIFORNIA SANTA CRUZ TUMOR VERSUS MATCHED-NORMAL SEQUENCING ANALYSIS AND DATA INTEGRATION A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in BIOMOLECULAR ENGINEERING AND BIOINFORMATICS by J. Zachary Sanborn December 2012 The Dissertation of J. Zachary Sanborn is approved: Professor David Haussler, Chair Professor Joshua Stuart Professor Nader Pourmand Dean Tyrus Miller Vice Provost and Dean of Graduate Studies Copyright c by J. Zachary Sanborn 2012 Table of Contents List of Figures v List of Tables xiii Abstract xiv Dedication xv Acknowledgments xvi 1 Introduction 1 2 Previous Work 7 2.1 UCSC Cancer Genomics Browser . 7 2.2 BamBam v1.0 . 11 3 Methods to analyze sequencing data of tumors and their matched- normals 15 3.1 Somatic & germline variant calling . 15 3.1.1 Results . 19 3.2 Small insertions and deletions . 20 3.3 Relative copy number, allele-specific copy number, and allele fraction . 22 3.4 Inferring regions of structural variation using paired-end clustering . 24 3.5 Refinement of structural variation using Bridget . 26 3.6 Bridget de novo ................................ 28 3.6.1 Results . 30 3.7 Tumor Genome Browser . 34 4 Integrating sequencing results to locally reconstruct the tumor genome 38 4.1 Breakpoint traversal to infer local tumor genome assemblies . 39 4.2 Breakpoints associated with highly amplified regions . 42 iii 4.3 Results . 42 4.3.1 Homozygous deletion of CDKN2A in glioblastoma multiforme . 42 4.3.2 Reconstructing highly amplified regions using whole genome se- quencing . 46 4.3.3 FISH confirmation of double minutes . -
Short Article CAND1 Binds to Unneddylated CUL1 and Regulates
Molecular Cell, Vol. 10, 1519–1526, December, 2002, Copyright 2002 by Cell Press CAND1 Binds to Unneddylated CUL1 Short Article and Regulates the Formation of SCF Ubiquitin E3 Ligase Complex Jianyu Zheng,1 Xiaoming Yang,1 Despite the importance of cullins in controlling many Jennifer M. Harrell,1 Sophia Ryzhikov,1 essential biological processes, the mechanism that reg- Eun-Hee Shim,1 Karin Lykke-Andersen,2 ulates the cullin-containing ubiquitin E3 ligases remains Ning Wei,2 Hong Sun,1 Ryuji Kobayashi,3 unclear. In SCF, the F box proteins are short-lived pro- and Hui Zhang1,4 teins that undergo CUL1/SKP1-dependent degradation 1Department of Genetics (Wirbelauer et al., 2000; Zhou and Howley, 1998). Dele- Yale University School of Medicine tion of the F box region abolishes the binding of F box 333 Cedar Street proteins to SKP1 and CUL1, and consequently increases 2 Department of Molecular, Cellular, the stability of F box proteins. This substrate-indepen- and Developmental Biology dent proteolysis of F box proteins is likely the result of Yale University autoubiquitination by the ubiquitin E2 and E1 enzymes New Haven, Connecticut 06520 through a CUL1/SKP1-dependent mechanism. 3 Cold Spring Harbor Laboratory The carboxy-terminal ends of cullins are often covalently Cold Spring Harbor, New York 11724 modified by a ubiquitin-like protein, NEDD8/RUB1, and this modification appears to associate with active E3 li- gases (Hochstrasser, 2000). Like ubiquitin modification, Summary neddylation requires E1 (APP-BP1 and UBA3)-activating and E2 (UBC12)-conjugating enzymes (Hochstrasser, The SCF ubiquitin E3 ligase regulates ubiquitin-depen- 2000). -
Contributions of De Novo Variants to Systemic Lupus Erythematosus
European Journal of Human Genetics (2021) 29:184–193 https://doi.org/10.1038/s41431-020-0698-5 ARTICLE Contributions of de novo variants to systemic lupus erythematosus 1 1 1 2 2 Jonas Carlsson Almlöf ● Sara Nystedt ● Aikaterini Mechtidou ● Dag Leonard ● Maija-Leena Eloranta ● 3 4 5 5 3 Giorgia Grosso ● Christopher Sjöwall ● Anders A. Bengtsson ● Andreas Jönsen ● Iva Gunnarsson ● 3 2 2 1 Elisabet Svenungsson ● Lars Rönnblom ● Johanna K. Sandling ● Ann-Christine Syvänen Received: 16 January 2020 / Revised: 4 June 2020 / Accepted: 14 July 2020 / Published online: 28 July 2020 © The Author(s) 2020. This article is published with open access Abstract By performing whole-genome sequencing in a Swedish cohort of 71 parent-offspring trios, in which the child in each family is affected by systemic lupus erythematosus (SLE, OMIM 152700), we investigated the contribution of de novo variants to risk of SLE. We found de novo single nucleotide variants (SNVs) to be significantly enriched in gene promoters in SLE patients compared with healthy controls at a level corresponding to 26 de novo promoter SNVs more in each patient than expected. We identified 12 de novo SNVs in promoter regions of genes that have been previously implicated in SLE, or that have functions that could be of relevance to SLE. Furthermore, we detected three missense de novo SNVs, five de novo insertion-deletions, and three de novo structural variants with potential to affect the expression of genes that are relevant for 1234567890();,: 1234567890();,: SLE. Based on enrichment analysis, disease-affecting de novo SNVs are expected to occur in one-third of SLE patients.