Molecular Cloning of ESET, a Novel Histone H3-Specific
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Structure of the Tripartite Motif of KAP1/TRIM28 Identifies Molecular Interfaces Required for Transcriptional Silencing of Retrotransposons
bioRxiv preprint doi: https://doi.org/10.1101/505677; this version posted December 25, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Structure of the tripartite motif of KAP1/TRIM28 identifies molecular interfaces required for transcriptional silencing of retrotransposons Guido A. Stoll1, Shun-ichiro Oda1, Zheng-Shan Chong1, Minmin Yu2, Stephen H. McLaughlin2 and Yorgo Modis1,* 1 Molecular Immunity Unit, Department of Medicine, University of Cambridge, MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK 2 MRC Laboratory oF Molecular Biology, Cambridge Biomedical Campus, Cambridge, CB2 0QH, UK * Correspondence: [email protected] (Y.M.) Abstract Transcription oF transposable elements is tightly regulated to prevent damage to the genome. The family of KRAB domain-containing zinc Finger proteins (KRAB-ZFPs) and KRAB-associated protein 1 (KAP1/TRIM28) play a key role in regulating retrotransposons. KRAB-ZFPs recognize speciFic retrotransposon sequences and recruit KAP1, which controls the assembly of an epigenetic silencing complex including histone H3K9 methyltransferase SETDB1. The chromatin remodeling activities of this complex repress transcription of the targeted transposable element and any adjacent genes. Here, we use biophysical and structural approaches to show that the tripartite motif (TRIM) of KAP1 Forms antiparallel dimers, which Further assemble into tetramers and higher-order oligomers in a concentration-dependent manner. Structure-based mutations in the B-box 1 domain prevented higher-order oligomerization without a signiFicant loss oF retrotransposon silencing activity in a cell-based assay, indicating that, in contrast to other TRIM family members, selF-assembly is not essential For the function of KAP1. -
Androgen Receptor Expression Predicts Breast Cancer Survival: The
Peters et al. BMC Cancer 2012, 12:132 http://www.biomedcentral.com/1471-2407/12/132 RESEARCHARTICLE Open Access Androgen receptor expression predicts breast cancer survival: the role of genetic and epigenetic events Kate M Peters1, Stacey L Edwards1, Shalima S Nair2, Juliet D French1, Peter J Bailey1, Kathryn Salkield1, Sandra Stein3, Sarah Wagner3, Glenn D Francis3, Susan J Clark2 and Melissa A Brown1* Abstract Background: Breast cancer outcome, including response to therapy, risk of metastasis and survival, is difficult to predict using currently available methods, highlighting the urgent need for more informative biomarkers. Androgen receptor (AR) has been implicated in breast carcinogenesis however its potential to be an informative biomarker has yet to be fully explored. In this study, AR protein levels were determined in a cohort of 73 Grade III invasive breast ductal adenocarcinomas. Methods: The levels of Androgen receptor protein in a cohort of breast tumour samples was determined by immunohistochemistry and the results were compared with clinical characteristics, including survival. The role of defects in the regulation of Androgen receptor gene expression were examined by mutation and methylation screening of the 5’ end of the gene, reporter assays of the 5’ and 3’ end of the AR gene, and searching for miRNAs that may regulate AR gene expression. Results: AR was expressed in 56% of tumours and expression was significantly inversely associated with 10-year survival (P = 0.004). An investigation into the mechanisms responsible for the loss of AR expression revealed that hypermethylation of the AR promoter is associated with loss of AR expression in breast cancer cells but not in primary breast tumours. -
Pnas.201413825SI.Pdf
Supporting Information Impens et al. 10.1073/pnas.1413825111 13 15 13 15 SI Methods beling) (Silantes Gmbh), or C6 N2 L-lysine HCl and C6 N4 L- Plasmids. pSG5-His6-SUMO1 plasmid encodes the N-terminal arginine HCl (heavy labeling) (Silantes Gmbh). L-Lysine HCl was His6-tagged mature Small ubiquitin modifier 1 (SUMO1) isoform added at its normal concentration in DMEM (146 mg/L), but the (kind gift of A. Dejean, Institut Pasteur, Paris). The pSG5-His6- concentration of L-arginine HCl was reduced to 25 mg/L (30% of SUMO1 T95R mutat was derived from this plasmid using PCR the normal concentration in DMEM) to prevent metabolic con- mutagenesis. pSG5-His6-SUMO2 was obtained by inserting the version of arginine to proline (4). Cells were kept for at least six cDNA corresponding to the human mature SUMO2 isoform population doublings to ensure complete incorporation of the la- with an N-terminal His6 tag in the pSG5 vector (Stratagene). beled lysine and arginine. 2 The pSG5-His6-SUMO2 T91R mutant was derived from this For transfections, cells were seeded in 75-cm flasks or in 6- or plasmid by PCR mutagenesis. N-terminally HA-tagged human 24-well plates at a density of 2.7 × 106 cells per flask or 3 × 105 or cDNA of ZBTB20 (Zinc finger and BTB domain containing 0.5 × 105 cells per well, respectively. The next day cells were 20) isoform 2 (UniProt identifier Q9HC78-2), HMBOX1 (Ho- transfected with Lipofectamine LTX reagents (Invitrogen) (20 μg meobox containing protein 1) isoform 1 (HMBOX1A) (UniProt of DNA per flask, 3.5 μg per well in the six-well plates, or 0.75 μg identifier Q6NT76-1), NACC1 (Nucleus accumbens-associated per well in the 24-well plates) for 48 h. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Acetyltransferase 10 Protein in DNA Methylation and Genomic Imprinting
Article The Role of N-a-acetyltransferase 10 Protein in DNA Methylation and Genomic Imprinting Graphical Abstract Authors Chen-Cheng Lee, Shih-Huan Peng, Genomic imprinting Li Shen, ..., Yu-Ting Yan, Yi Zhang, Paternally imprinted gene Maternally imprinted gene Li-Jung Juan ICR ICR Correspondence ICR ICR [email protected] (Y.Z.), Naa10-KO or WT Naa10p clinical mutation: [email protected] (L.-J.J.) S37P, V107F or R116W Dnmt1 Naa10p Naa10p Dnmt1 X In Brief X Mut X X Lee et al. reveal an unexpected function G H19 G H19 for Naa10p, which is primarily known to ICR of imprinted allele (ex: H19) ICR of imprinted allele (ex: H19) acetylate nascent peptides from ribosomes, in maintaining global DNA Methylated CpG H3K9me3/H4K20me3 methylation and marking the imprinted Unmethylated CpG H3K9Ac allele for genomic imprinting Imprinting maintenance Imprinting dysregulation maintenance. Their results suggest that Successful development Developmental defect Embryonic lethality defects in DNA methylation and genomic Growth retardation imprinting may contribute to Naa10p- Brain disorder associated Ogden syndrome. Maternal-effect lethality Highlights d Naa10p KO causes defects in genomic imprinting and embryonic development d Naa10p maintains Dnmt1 activity by facilitating Dnmt1 binding to DNA substrate d Naa10p selectively binds to ICRs of the imprinted allele via non-methylated GCXGXG d Ogden syndrome-causing Naa10p mutation disrupts ICR binding of Naa10p and Dnmt1 Lee et al., 2017, Molecular Cell 68, 1–15 October 5, 2017 ª 2017 Elsevier Inc. http://dx.doi.org/10.1016/j.molcel.2017.08.025 Please cite this article in press as: Lee et al., The Role of N-a-acetyltransferase 10 Protein in DNA Methylation and Genomic Imprinting, Molecular Cell (2017), http://dx.doi.org/10.1016/j.molcel.2017.08.025 Molecular Cell Article The Role of N-a-acetyltransferase 10 Protein in DNA Methylation and Genomic Imprinting Chen-Cheng Lee,1,9 Shih-Huan Peng,1,2,9 Li Shen,3,8,9 Chung-Fan Lee,1 Ting-Huei Du,1 Ming-Lun Kang,1 Guo-Liang Xu,4 Anup K. -
(12) Patent Application Publication (10) Pub. No.: US 2004/0023207 A1 Polansky (43) Pub
US 20040023207A1 (19) United States (12) Patent Application Publication (10) Pub. No.: US 2004/0023207 A1 Polansky (43) Pub. Date: Feb. 5, 2004 (54) ASSAYS FOR DRUG DISCOVERY BASED ON Publication Classification MICROCOMPETITION WITH A FOREIGN POLYNUCLEOTIDE (51) Int. Cl." .............................. C12O 1/70; C12O 1/68; C12N 15/85; C12N 15/86 (52) U.S. Cl. .................. 435/5; 435/6; 435/455; 435/456 (76) Inventor: Hanan Polansky, Rochester, NY (US) (57) ABSTRACT Correspondence Address: A recent discovery showed that microcompetition between a Hanan Polansky foreign polynucleotide and a cellular polynucleotide is a risk 3159 S. Winton Rd. factor for Some of the major chronic diseases. The invention Rochester, NY 14623 (US) uses this novel discovery to present assays for Screening compounds based on their effectiveness in modulating Such microcompetition. The effective compounds can be used in (21) Appl. No.: 10/211,295 treatment of these chronic diseases. The invention also presents assays for Screening compounds that can be used in treatment of chronic diseaseS resulting from other foreign (22) Filed: Aug. 1, 2002 polynucleotide-type disruptions. Patent Application Publication Feb. 5, 2004 Sheet 1 of 6 US 2004/0023207 A1 s e 2 9 s H c 2 4 competitor plasmid/test plasmid Figure 1 1 O 09% 1 2 3 4 competitor plasmid/test plasmid -H Ltk- (pSV2Neo) -A-ML (pSV2neo) . A- - - Ltk- (pA1 Oneo) - - - - - - Mill (pA1 Oneo) Figure 2 Patent Application Publication Feb. 5, 2004 Sheet 2 of 6 US 2004/0023207 A1 e 2 r U H c O s S 2 3. Molar ratio (pSV2NeolhMT-ilA-CAT) Figure 3 Patent Application Publication Feb. -
Study Identifies a Protein Complex Possibly Crucial for Triggering Embryo Development 6 January 2010
Study identifies a protein complex possibly crucial for triggering embryo development 6 January 2010 modifications that often prevent them from curbing the proliferation of cancer cells. The discovery may also have implications for stem cell research by providing a tool to quickly reprogram adult cells to possess the same attributes as embryonic stem cells, but without the ethical or safety issues of cells currently used for such studies. The results of the study appear on- line in the Jan. 6, 2010 issue of the journal Nature. "The implications of such research have always been clear, and that is why for years researchers have tried to identify a factor responsible for erasing these epigenetic markers," said senior This is a fertilized human egg, prior to division. Two nuclei (one from the egg and one from the sperm) can author Yi Zhang, Ph.D., Howard Hughes Medical be seen in the center. Credit: Photo courtesy of Stan Institute Investigator and Kenan Distinguished Beyler, Ph.D. UNC A.R.T. laboratory. Professor of biochemistry and biophysics at UNC. He is also a member of the UNC Lineberger Comprehensive Cancer Center. The DNA contained within each of our cells is Epigenetic markers are essentially chemical tags exactly the same, yet different types of cells - skin attached to the genomes of each cell, determining cells, heart cells, brain cells - perform very different which genes will be turned on or off and, ultimately, functions. The ultimate fate of these cells is what role that cell type will have in the body. One encoded not just in the DNA, but in a specific way this comes about is through DNA methylation, pattern of chemical modifications that overlay the a process by which methyl groups are stamped DNA structure. -
The Human Genome Project
TO KNOW OURSELVES ❖ THE U.S. DEPARTMENT OF ENERGY AND THE HUMAN GENOME PROJECT JULY 1996 TO KNOW OURSELVES ❖ THE U.S. DEPARTMENT OF ENERGY AND THE HUMAN GENOME PROJECT JULY 1996 Contents FOREWORD . 2 THE GENOME PROJECT—WHY THE DOE? . 4 A bold but logical step INTRODUCING THE HUMAN GENOME . 6 The recipe for life Some definitions . 6 A plan of action . 8 EXPLORING THE GENOMIC LANDSCAPE . 10 Mapping the terrain Two giant steps: Chromosomes 16 and 19 . 12 Getting down to details: Sequencing the genome . 16 Shotguns and transposons . 20 How good is good enough? . 26 Sidebar: Tools of the Trade . 17 Sidebar: The Mighty Mouse . 24 BEYOND BIOLOGY . 27 Instrumentation and informatics Smaller is better—And other developments . 27 Dealing with the data . 30 ETHICAL, LEGAL, AND SOCIAL IMPLICATIONS . 32 An essential dimension of genome research Foreword T THE END OF THE ROAD in Little has been rapid, and it is now generally agreed Cottonwood Canyon, near Salt that this international project will produce Lake City, Alta is a place of the complete sequence of the human genome near-mythic renown among by the year 2005. A skiers. In time it may well And what is more important, the value assume similar status among molecular of the project also appears beyond doubt. geneticists. In December 1984, a conference Genome research is revolutionizing biology there, co-sponsored by the U.S. Department and biotechnology, and providing a vital of Energy, pondered a single question: Does thrust to the increasingly broad scope of the modern DNA research offer a way of detect- biological sciences. -
Omics Knowledgebase for Mammalian Cellular Signaling Pathways Scott A
www.nature.com/scientificdata OPEN The Signaling Pathways Project, an ARTICLE integrated ‘omics knowledgebase for mammalian cellular signaling pathways Scott A. Ochsner1, David Abraham1,8, Kirt Martin1,8, Wei Ding2, Apollo McOwiti2, Wasula Kankanamge2, Zichen Wang 3, Kaitlyn Andreano4, Ross A. Hamilton1, Yue Chen1, Angelica Hamilton5, Marin L. Gantner6, Michael Dehart2, Shijing Qu2, Susan G. Hilsenbeck2, Lauren B. Becnel2, Dave Bridges7, Avi Ma’ayan 3, Janice M. Huss5, Fabio Stossi1, Charles E. Foulds1, Anastasia Kralli6, Donald P. McDonnell4 & Neil J. McKenna 1* Mining of integrated public transcriptomic and ChIP-Seq (cistromic) datasets can illuminate functions of mammalian cellular signaling pathways not yet explored in the research literature. Here, we designed a web knowledgebase, the Signaling Pathways Project (SPP), which incorporates community classifcations of signaling pathway nodes (receptors, enzymes, transcription factors and co-nodes) and their cognate bioactive small molecules. We then mapped over 10,000 public transcriptomic or cistromic experiments to their pathway node or biosample of study. To enable prediction of pathway node-gene target transcriptional regulatory relationships through SPP, we generated consensus ‘omics signatures, or consensomes, which ranked genes based on measures of their signifcant diferential expression or promoter occupancy across transcriptomic or cistromic experiments mapped to a specifc node family. Consensomes were validated using alignment with canonical literature knowledge, gene target-level integration of transcriptomic and cistromic data points, and in bench experiments confrming previously uncharacterized node-gene target regulatory relationships. To expose the SPP knowledgebase to researchers, a web browser interface was designed that accommodates numerous routine data mining strategies. SPP is freely accessible at https://www.signalingpathways.org. -
A KAP1 Phosphorylation Switch Controls Myod Function During Skeletal Muscle Differentiation
Downloaded from genesdev.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press A KAP1 phosphorylation switch controls MyoD function during skeletal muscle differentiation Kulwant Singh,1,5 Marco Cassano,2,5 Evarist Planet,2 Soji Sebastian,1 Suk Min Jang,2 Gurjeev Sohi,1 Herve Faralli,1 Jinmi Choi,3 Hong-Duk Youn,3 F. Jeffrey Dilworth,1,4 and Didier Trono2 1Sprott Center for Stem Cell Research, Ottawa Hospital Research Institute, Ottawa, Ontario K1H 8L6, Canada; 2School of Life Sciences, Ecole Polytechnique Fed erale de Lausanne (EPFL), 1015 Lausanne, Switzerland; 3Department of Biomedical Sciences and Biochemistry and Molecular Biology, Seoul National University College of Medicine, Seoul 110-799, Korea; 4Department of Cellular and Molecular Medicine, University of Ottawa, Ontario K1H 8L6, Canada The transcriptional activator MyoD serves as a master controller of myogenesis. Often in partnership with Mef2 (myocyte enhancer factor 2), MyoD binds to the promoters of hundreds of muscle genes in proliferating myoblasts yet activates these targets only upon receiving cues that launch differentiation. What regulates this off/on switch of MyoD function has been incompletely understood, although it is known to reflect the action of chromatin modifiers. Here, we identify KAP1 (KRAB [Kruppel-like€ associated box]-associated protein 1)/TRIM28 (tripartite motif protein 28) as a key regulator of MyoD function. In myoblasts, KAP1 is present with MyoD and Mef2 at many muscle genes, where it acts as a scaffold to recruit not only coactivators such as p300 and LSD1 but also corepressors such as G9a and HDAC1 (histone deacetylase 1), with promoter silencing as the net outcome.