Proteasome Biology: Chemistry and Bioengineering Insights
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Gene Essentiality Landscape and Druggable Oncogenic Dependencies in Herpesviral Primary Effusion Lymphoma
ARTICLE DOI: 10.1038/s41467-018-05506-9 OPEN Gene essentiality landscape and druggable oncogenic dependencies in herpesviral primary effusion lymphoma Mark Manzano1, Ajinkya Patil1, Alexander Waldrop2, Sandeep S. Dave2, Amir Behdad3 & Eva Gottwein1 Primary effusion lymphoma (PEL) is caused by Kaposi’s sarcoma-associated herpesvirus. Our understanding of PEL is poor and therefore treatment strategies are lacking. To address this 1234567890():,; need, we conducted genome-wide CRISPR/Cas9 knockout screens in eight PEL cell lines. Integration with data from unrelated cancers identifies 210 genes as PEL-specific oncogenic dependencies. Genetic requirements of PEL cell lines are largely independent of Epstein-Barr virus co-infection. Genes of the NF-κB pathway are individually non-essential. Instead, we demonstrate requirements for IRF4 and MDM2. PEL cell lines depend on cellular cyclin D2 and c-FLIP despite expression of viral homologs. Moreover, PEL cell lines are addicted to high levels of MCL1 expression, which are also evident in PEL tumors. Strong dependencies on cyclin D2 and MCL1 render PEL cell lines highly sensitive to palbociclib and S63845. In summary, this work comprehensively identifies genetic dependencies in PEL cell lines and identifies novel strategies for therapeutic intervention. 1 Department of Microbiology-Immunology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. 2 Duke Cancer Institute and Center for Genomic and Computational Biology, Duke University, Durham, NC 27708, USA. 3 Department of Pathology, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA. Correspondence and requests for materials should be addressed to E.G. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:3263 | DOI: 10.1038/s41467-018-05506-9 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-05506-9 he human oncogenic γ-herpesvirus Kaposi’s sarcoma- (IRF4), a critical oncogene in multiple myeloma33. -
Protein Structure & Folding
6 Protein Structure & Folding To understand protein folding In the last chapter we learned that proteins are composed of amino acids Goal as a chemical equilibrium. linked together by peptide bonds. We also learned that the twenty amino acids display a wide range of chemical properties. In this chapter we will see Objectives that how a protein folds is determined by its amino acid sequence and that the three-dimensional shape of a folded protein determines its function by After this chapter, you should be able to: the way it positions these amino acids. Finally, we will see that proteins fold • describe the four levels of protein because doing so minimizes Gibbs free energy and that this minimization structure and the thermodynamic involves both making the most favorable bonds and maximizing disorder. forces that stabilize them. • explain how entropy (S) and enthalpy Proteins exhibit four levels of structure (H) contribute to Gibbs free energy. • use the equation ΔG = ΔH – TΔS The structure of proteins can be broken down into four levels of to determine the dependence of organization. The first is primary structure, the linear sequence of amino the favorability of a reaction on acids in the polypeptide chain. By convention, the primary sequence is temperature. written in order from the amino acid at the N-terminus (by convention • explain the hydrophobic effect and its usually on the left) to the amino acid at the C-terminus. The second level role in protein folding. of protein structure, secondary structure, is the local conformation adopted by stretches of contiguous amino acids. -
DNA Glycosylase Exercise - Levels 1 & 2: Answer Key
Name________________________ StarBiochem DNA Glycosylase Exercise - Levels 1 & 2: Answer Key Background In this exercise, you will explore the structure of a DNA repair protein found in most species, including bacteria. DNA repair proteins move along DNA strands, checking for mistakes or damage. DNA glycosylases, a specific type of DNA repair protein, recognize DNA bases that have been chemically altered and remove them, leaving a site in the DNA without a base. Other proteins then come along to fill in the missing DNA base. Learning objectives We will explore the relationship between a protein’s structure and its function in a human DNA glycosylase called human 8-oxoguanine glycosylase (hOGG1). Getting started We will begin this exercise by exploring the structure of hOGG1 using a molecular 3-D viewer called StarBiochem. In this particular structure, the repair protein is bound to a segment of DNA that has been damaged. We will first focus on the structure hOGG1 and then on how this protein interacts with DNA to repair a damaged DNA base. • To begin using StarBiochem, please navigate to: http://mit.edu/star/biochem/. • Click on the Start button Click on the Start button for StarBiochem. • Click Trust when a prompt appears asking if you trust the certificate. • In the top menu, click on Samples à Select from Samples. Within the Amino Acid/Proteins à Protein tab, select “DNA glycosylase hOGG1 w/ DNA – H. sapiens (1EBM)”. “1EBM” is the four character unique ID for this structure. Take a moment to look at the structure from various angles by rotating and zooming on the structure. -
Enzymatic Encoding Methods for Efficient Synthesis Of
(19) TZZ__T (11) EP 1 957 644 B1 (12) EUROPEAN PATENT SPECIFICATION (45) Date of publication and mention (51) Int Cl.: of the grant of the patent: C12N 15/10 (2006.01) C12Q 1/68 (2006.01) 01.12.2010 Bulletin 2010/48 C40B 40/06 (2006.01) C40B 50/06 (2006.01) (21) Application number: 06818144.5 (86) International application number: PCT/DK2006/000685 (22) Date of filing: 01.12.2006 (87) International publication number: WO 2007/062664 (07.06.2007 Gazette 2007/23) (54) ENZYMATIC ENCODING METHODS FOR EFFICIENT SYNTHESIS OF LARGE LIBRARIES ENZYMVERMITTELNDE KODIERUNGSMETHODEN FÜR EINE EFFIZIENTE SYNTHESE VON GROSSEN BIBLIOTHEKEN PROCEDES DE CODAGE ENZYMATIQUE DESTINES A LA SYNTHESE EFFICACE DE BIBLIOTHEQUES IMPORTANTES (84) Designated Contracting States: • GOLDBECH, Anne AT BE BG CH CY CZ DE DK EE ES FI FR GB GR DK-2200 Copenhagen N (DK) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI • DE LEON, Daen SK TR DK-2300 Copenhagen S (DK) Designated Extension States: • KALDOR, Ditte Kievsmose AL BA HR MK RS DK-2880 Bagsvaerd (DK) • SLØK, Frank Abilgaard (30) Priority: 01.12.2005 DK 200501704 DK-3450 Allerød (DK) 02.12.2005 US 741490 P • HUSEMOEN, Birgitte Nystrup DK-2500 Valby (DK) (43) Date of publication of application: • DOLBERG, Johannes 20.08.2008 Bulletin 2008/34 DK-1674 Copenhagen V (DK) • JENSEN, Kim Birkebæk (73) Proprietor: Nuevolution A/S DK-2610 Rødovre (DK) 2100 Copenhagen 0 (DK) • PETERSEN, Lene DK-2100 Copenhagen Ø (DK) (72) Inventors: • NØRREGAARD-MADSEN, Mads • FRANCH, Thomas DK-3460 Birkerød (DK) DK-3070 Snekkersten (DK) • GODSKESEN, -
Large-Scale Image-Based Profiling of Single-Cell Phenotypes in Arrayed CRISPR-Cas9 Gene Perturbation Screens
Published online: January 23, 2018 Method Large-scale image-based profiling of single-cell phenotypes in arrayed CRISPR-Cas9 gene perturbation screens Reinoud de Groot1 , Joel Lüthi1,2 , Helen Lindsay1 , René Holtackers1 & Lucas Pelkmans1,* Abstract this reason, CRISPR-Cas9 has been used in large-scale functional genomic screens (Shalem et al, 2015). Most screens performed to High-content imaging using automated microscopy and computer date employ a pooled screening strategy, which can identify genes vision allows multivariate profiling of single-cell phenotypes. Here, that cause differential growth in screening conditions (Koike-Yusa we present methods for the application of the CISPR-Cas9 system et al, 2013; Shalem et al, 2014; Wang et al, 2014). However, in large-scale, image-based, gene perturbation experiments. We pooled screening precludes multivariate profiling of single-cell show that CRISPR-Cas9-mediated gene perturbation can be phenotypes. This can be partially overcome by combining pooled achieved in human tissue culture cells in a timeframe that is screening with single-cell RNA-seq, but this does not easily scale compatible with image-based phenotyping. We developed a pipe- to the profiling of thousands of single cells from thousands of line to construct a large-scale arrayed library of 2,281 sequence- perturbations, and is limited to features that can be read from verified CRISPR-Cas9 targeting plasmids and profiled this library RNA transcript profiles (Adamson et al, 2016; Dixit et al, 2016; for genes affecting cellular morphology and the subcellular local- Jaitin et al, 2016; Datlinger et al, 2017). Moreover, sequencing- ization of components of the nuclear pore complex (NPC). -
Degradation and Beyond: Control of Androgen Receptor Activity by the Proteasome System
CELLULAR & MOLECULAR BIOLOGY LETTERS Volume 11, (2006) pp 109 – 131 http://www.cmbl.org.pl DOI: 10.2478/s11658-006-0011-9 Received: 06 December 2005 Revised form accepted: 31 January 2006 © 2006 by the University of Wrocław, Poland DEGRADATION AND BEYOND: CONTROL OF ANDROGEN RECEPTOR ACTIVITY BY THE PROTEASOME SYSTEM TOMASZ JAWORSKI Department of Cellular Biochemistry, Nencki Institute of Experimental Biology, Polish Academy of Sciences, Pasteura 3, 02-093 Warsaw, Poland Abstract: The androgen receptor (AR) is a transcription factor belonging to the family of nuclear receptors which mediates the action of androgens in the development of urogenital structures. AR expression is regulated post- * Corresponding author: e-mail: [email protected] Abbreviations used: AATF – apoptosis antagonizing factor; APIS complex – AAA proteins independent of 20S; ARA54 – AR-associated protein 54; ARA70 – AR-associated protein 70; ARE – androgen responsive element; ARNIP – AR N-terminal interacting protein; bFGF – basic fibroblast growth factor; CARM1 – coactivator-associated arginine methyltransferase 1; CHIP – C-terminus Hsp70 interacting protein; DBD – DNA binding domain; E6-AP – E6-associated protein; GRIP-1 – glucocorticoid receptor interacting protein 1; GSK3β – glycogen synthase kinase 3β; HDAC1 – histone deacetylase 1; HECT – homologous to the E6-AP C-terminus; HEK293 – human embryonal kidney cell line; HepG2 – human hepatoma cell line; Hsp90 – heat shock protein 90; IGF-1 – insulin-like growth factor 1; IL-6 – interleukin 6; KLK2 – -
Proteasome 26S Subunit, Non Atpase 7 (PSMD7)
RPG282Hu01 10µg Recombinant Proteasome 26S Subunit, Non ATPase 7 (PSMD7) Organism Species: Homo sapiens (Human) Instruction manual FOR IN VITRO USE AND RESEARCH USE ONLY NOT FOR USE IN CLINICAL DIAGNOSTIC PROCEDURES 10th Edition (Revised in Jan, 2014) [ PROPERTIES ] Residues: Met1~Lys324 Tags: Two N-terminal Tags, His-tag and T7-tag Accession: P51665 Host: E. coli Purity: >90% Endotoxin Level: <1.0EU per 1μg (determined by the LAL method). Formulation: Supplied as lyophilized form in 20mM Tris, 150mM NaCl, pH8.0, containing 1mM EDTA, 1mM DTT, 0.01% sarcosyl, 5% trehalose, and preservative. Predicted isoelectric point: 6.7 Predicted Molecular Mass: 40.8kDa Applications: SDS-PAGE; WB; ELISA; IP. (May be suitable for use in other assays to be determined by the end user.) [ USAGE ] Reconstitute in sterile ddH2O. [ STORAGE AND STABILITY ] Storage: Avoid repeated freeze/thaw cycles. Store at 2-8oC for one month. Aliquot and store at -80oC for 12 months. Stability Test: The thermal stability is described by the loss rate of the target protein. The loss rate was determined by accelerated thermal degradation test, that is, incubate the protein at 37oC for 48h, and no obvious degradation and precipitation were observed. (Referring from China Biological Products Standard, which was calculated by the Arrhenius equation.) The loss of this protein is less than 5% within the expiration date under appropriate storage condition. [ SEQUENCES ] The sequence of the target protein is listed below. MPELAVQKVV VHPLVLLSVV DHFNRIGKVG NQKRVVGVLL GSWQKKVLDV SNSFAVPFDE DDKDDSVWFL DHDYLENMYG MFKKVNARER IVGWYHTGPK LHKNDIAINE LMKRYCPNSV LVIIDVKPKD LGLPTEAYIS VEEVHDDGTP TSKTFEHVTS EIGAEEAEEV GVEHLLRDIK DTTVGTLSQR ITNQVHGLKG LNSKLLDIRS YLEKVATGKL PINHQIIYQL QDVFNLLPDV SLQEFVKAFY LKTNDQMVVV YLASLIRSVV ALHNLINNKI ANRDAEKKEG QEKEESKKDR KEDKEKDKDK EKSDVKKEEK KEKK [ REFERENCES ] 1. -
Deubiquitinases in Cancer: New Functions and Therapeutic Options
Oncogene (2012) 31, 2373–2388 & 2012 Macmillan Publishers Limited All rights reserved 0950-9232/12 www.nature.com/onc REVIEW Deubiquitinases in cancer: new functions and therapeutic options JM Fraile1, V Quesada1, D Rodrı´guez, JMP Freije and C Lo´pez-Otı´n Departamento de Bioquı´mica y Biologı´a Molecular, Facultad de Medicina, Instituto Universitario de Oncologı´a, Universidad de Oviedo, Oviedo, Spain Deubiquitinases (DUBs) have fundamental roles in the Hunter, 2010). Consistent with the functional relevance ubiquitin system through their ability to specifically of proteases in these processes, alterations in their deconjugate ubiquitin from targeted proteins. The human structure or in the mechanisms controlling their genome encodes at least 98 DUBs, which can be grouped spatiotemporal expression patterns and activities cause into 6 families, reflecting the need for specificity in diverse pathologies such as arthritis, neurodegenerative their function. The activity of these enzymes affects the alterations, cardiovascular diseases and cancer. Accord- turnover rate, activation, recycling and localization ingly, many proteases are an important focus of of multiple proteins, which in turn is essential for attention for the pharmaceutical industry either as drug cell homeostasis, protein stability and a wide range of targets or as diagnostic and prognostic biomarkers signaling pathways. Consistent with this, altered DUB (Turk, 2006; Drag and Salvesen, 2010). function has been related to several diseases, including The recent availability of the genome sequence cancer. Thus, multiple DUBs have been classified as of different organisms has facilitated the identification oncogenes or tumor suppressors because of their regula- of their entire protease repertoire, which has been tory functions on the activity of other proteins involved in defined as degradome (Lopez-Otin and Overall, 2002). -
Generated by SRI International Pathway Tools Version 25.0, Authors S
An online version of this diagram is available at BioCyc.org. Biosynthetic pathways are positioned in the left of the cytoplasm, degradative pathways on the right, and reactions not assigned to any pathway are in the far right of the cytoplasm. Transporters and membrane proteins are shown on the membrane. Periplasmic (where appropriate) and extracellular reactions and proteins may also be shown. Pathways are colored according to their cellular function. Gcf_000238675-HmpCyc: Bacillus smithii 7_3_47FAA Cellular Overview Connections between pathways are omitted for legibility. -
Deubiquitinase UCHL1 Maintains Protein Homeostasis Through PSMA7-APEH- Proteasome Axis in High-Grade Serous Ovarian Carcinoma
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.316810; this version posted October 9, 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. Deubiquitinase UCHL1 Maintains Protein Homeostasis through PSMA7-APEH- Proteasome Axis in High-Grade Serous Ovarian Carcinoma Apoorva Tangri1*, Kinzie Lighty1*, Jagadish Loganathan1, Fahmi Mesmar2, Ram Podicheti3, Chi Zhang1, Marcin Iwanicki4, Harikrishna Nakshatri1,5, Sumegha Mitra1,5,# 1 Indiana University School of Medicine, Indianapolis, IN, USA 2 Indiana University, Bloomington, IN, USA 3Center for Genomics and Bioinformatics, Indiana University, Bloomington, IN, USA 4Stevens Institute of Technology, Hoboken, NJ, USA 5Indiana University Melvin & Bren Simon Cancer Center, Indianapolis, USA *Equal contribution # corresponding author; to whom correspondence may be addressed. E-mail: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.28.316810; this version posted October 9, 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. Abstract High-grade serous ovarian cancer (HGSOC) is characterized by chromosomal instability, DNA damage, oxidative stress, and high metabolic demand, which exacerbate misfolded, unfolded and damaged protein burden resulting in increased proteotoxicity. However, the underlying mechanisms that maintain protein homeostasis to promote HGSOC growth remain poorly understood. In this study, we report that the neuronal deubiquitinating enzyme, ubiquitin carboxyl-terminal hydrolase L1 (UCHL1) is overexpressed in HGSOC and maintains protein homeostasis. UCHL1 expression was markedly increased in HGSOC patient tumors and serous tubal intraepithelial carcinoma (HGSOC precursor lesions). -
PSMD14 Is Over-Expressed in Human Endometrial Cancer
Over-expression of proteasome 26S subunit, non-ATPase 14 in human endometrial cancer. Shahan Mamoor, MS1 [email protected] East Islip, NY USA Gynecologic cancers including cancers of the endometrium are a clinical problem1-4. We mined published microarray data5,6 to discover genes associated with endometrial cancers by comparing transcriptomes of the normal and hyperplastic endometrium to endometrial tumors from humans. We identified proteasome 26S subunit, non-ATPase 14, encoded by PSMD14, as among the most differentially expressed genes, transcriptome-wide, in cancers of the endometrium. PSMD14 was expressed at significantly higher levels in endometrial tumor tissues as compared to the endometrium. Importantly, in human endometrial cancer, primary tumor expression of PSMD14 was correlated with overall survival in white patients with low mutational burden. PSMD14 may be a molecule of interest in understanding the etiology or progression of human endometrial cancer. Keywords: endometrial cancer, gynecologic cancers, endometrium, PSMD14, proteasome 26S subunit, non-ATPase 14, systems biology of endometrial cancer, targeted therapeutics in endometrial cancer. 1 Endometrial cancer is the most common gynecologic cancer in the developed world1. Over the last three decades, the incidence of endometrial cancer has increased 21%4 and the death rate has increased 100%3. We harnessed the power of independently published microarray datasets5,6 to determine in an unbiased fashion and at the systems-level genes most differentially expressed in endometrial tumors. We report here the differential and increased expression of the proteasome 26S subunit, non-ATPase 14 (PSMD14) in human endometrial cancer. Methods We utilized datasets GSE636785 and GSE1061916 for this global differential gene expression analysis of human endometrial cancer in conjunction with GEO2R. -
Anti-Inflammatory Role of Curcumin in LPS Treated A549 Cells at Global Proteome Level and on Mycobacterial Infection
Anti-inflammatory Role of Curcumin in LPS Treated A549 cells at Global Proteome level and on Mycobacterial infection. Suchita Singh1,+, Rakesh Arya2,3,+, Rhishikesh R Bargaje1, Mrinal Kumar Das2,4, Subia Akram2, Hossain Md. Faruquee2,5, Rajendra Kumar Behera3, Ranjan Kumar Nanda2,*, Anurag Agrawal1 1Center of Excellence for Translational Research in Asthma and Lung Disease, CSIR- Institute of Genomics and Integrative Biology, New Delhi, 110025, India. 2Translational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India. 3School of Life Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, Orissa, 768019, India. 4Department of Respiratory Sciences, #211, Maurice Shock Building, University of Leicester, LE1 9HN 5Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia- 7003, Bangladesh. +Contributed equally for this work. S-1 70 G1 S 60 G2/M 50 40 30 % of cells 20 10 0 CURI LPSI LPSCUR Figure S1: Effect of curcumin and/or LPS treatment on A549 cell viability A549 cells were treated with curcumin (10 µM) and/or LPS or 1 µg/ml for the indicated times and after fixation were stained with propidium iodide and Annexin V-FITC. The DNA contents were determined by flow cytometry to calculate percentage of cells present in each phase of the cell cycle (G1, S and G2/M) using Flowing analysis software. S-2 Figure S2: Total proteins identified in all the three experiments and their distribution betwee curcumin and/or LPS treated conditions. The proteins showing differential expressions (log2 fold change≥2) in these experiments were presented in the venn diagram and certain number of proteins are common in all three experiments.