1 Targeting the Mitochondrial Dna Polymerase Gamma in Acute Myeloid Leukemia
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(PI3K(P110 )) Directly Regulates Key Components of the Z-Disc And
THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 286, NO. 35, pp. 30837–30846, September 2, 2011 © 2011 by The American Society for Biochemistry and Molecular Biology, Inc. Printed in the U.S.A. Phosphoinositide 3-Kinase (PI3K(p110␣)) Directly Regulates Key Components of the Z-disc and Cardiac Structure*□S Received for publication, June 13, 2011, and in revised form, July 7, 2011 Published, JBC Papers in Press, July 11, 2011, DOI 10.1074/jbc.M111.271684 Ashley J. Waardenberg‡§, Bianca C. Bernardo¶, Dominic C. H. Ngʈ, Peter R. Shepherd**‡‡, Nelly Cemerlang¶, Mauro Sbroggio` §§, Christine A. Wells‡¶¶, Brian P. Dalrymple§, Mara Brancaccio§§, Ruby C. Y. Linʈʈ1, and Julie R. McMullen¶1,2 From the ‡Eskitis Institute for Cell and Molecular Therapies, Griffith University, Nathan, Queensland, 4111, Australia, §Commonwealth Scientific and Industrial Research Organisation, Food Futures Flagship, Queensland Bioscience Precinct, St. Lucia, Queensland, 4067, Australia, the ¶Baker IDI Heart and Diabetes Institute, Melbourne, Victoria, 8008, Australia, the ʈDepartment of Biochemistry and Molecular Biology, Bio21 Institute, University of Melbourne, Melbourne, Victoria, 3010, Australia, the **Department of Molecular Medicine, University of Auckland, Grafton, Auckland, 1142, New Zealand, the ‡‡Maurice Wilkins Centre for Molecular Biodiscovery, University of Auckland, Grafton, Auckland, 1142, New Zealand, the §§Department of Genetics, Biology, and Biochemistry, University of Torino, Molecular Biotechnology Center, Torino, 10126, Italy, the ¶¶Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland, 4072, Australia, and the ʈʈRamaciotti Centre for Gene Function Analysis and the School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia Downloaded from Maintenance of cardiac structure and Z-disc signaling are key from PI3K transgenic mice. -
A Mutation in DNA Polymerase Α Rescues WEE1KO Sensitivity to HU
International Journal of Molecular Sciences Article A Mutation in DNA Polymerase α Rescues WEE1KO Sensitivity to HU Thomas Eekhout 1,2 , José Antonio Pedroza-Garcia 1,2 , Pooneh Kalhorzadeh 1,2, Geert De Jaeger 1,2 and Lieven De Veylder 1,2,* 1 Department of Plant Biotechnology and Bioinformatics, Ghent University, 9052 Gent, Belgium; [email protected] (T.E.); [email protected] (J.A.P.-G.); [email protected] (P.K.); [email protected] (G.D.J.) 2 Center for Plant Systems Biology, VIB, 9052 Gent, Belgium * Correspondence: [email protected] Abstract: During DNA replication, the WEE1 kinase is responsible for safeguarding genomic integrity by phosphorylating and thus inhibiting cyclin-dependent kinases (CDKs), which are the driving force of the cell cycle. Consequentially, wee1 mutant plants fail to respond properly to problems arising during DNA replication and are hypersensitive to replication stress. Here, we report the identification of the pola-2 mutant, mutated in the catalytic subunit of DNA polymerase α, as a suppressor mutant of wee1. The mutated protein appears to be less stable, causing a loss of interaction with its subunits and resulting in a prolonged S-phase. Keywords: replication stress; DNA damage; cell cycle checkpoint Citation: Eekhout, T.; Pedroza- 1. Introduction Garcia, J.A.; Kalhorzadeh, P.; De Jaeger, G.; De Veylder, L. A Mutation DNA replication is a highly complex process that ensures the chromosomes are in DNA Polymerase α Rescues correctly replicated to be passed onto the daughter cells during mitosis. Replication starts WEE1KO Sensitivity to HU. Int. -
Progressive Increase in Mtdna 3243A>G Heteroplasmy Causes Abrupt
Progressive increase in mtDNA 3243A>G PNAS PLUS heteroplasmy causes abrupt transcriptional reprogramming Martin Picarda, Jiangwen Zhangb, Saege Hancockc, Olga Derbenevaa, Ryan Golhard, Pawel Golike, Sean O’Hearnf, Shawn Levyg, Prasanth Potluria, Maria Lvovaa, Antonio Davilaa, Chun Shi Lina, Juan Carlos Perinh, Eric F. Rappaporth, Hakon Hakonarsonc, Ian A. Trouncei, Vincent Procaccioj, and Douglas C. Wallacea,1 aCenter for Mitochondrial and Epigenomic Medicine, Children’s Hospital of Philadelphia and the Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104; bSchool of Biological Sciences, The University of Hong Kong, Hong Kong, People’s Republic of China; cTrovagene, San Diego, CA 92130; dCenter for Applied Genomics, Division of Genetics, Department of Pediatrics, and hNucleic Acid/Protein Research Core Facility, Children’s Hospital of Philadelphia, Philadelphia, PA 19104; eInstitute of Genetics and Biotechnology, Warsaw University, 00-927, Warsaw, Poland; fMorton Mower Central Research Laboratory, Sinai Hospital of Baltimore, Baltimore, MD 21215; gGenomics Sevices Laboratory, HudsonAlpha Institute for Biotechnology, Huntsville, AL 35806; iCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, VIC 3002, Australia; and jDepartment of Biochemistry and Genetics, National Center for Neurodegenerative and Mitochondrial Diseases, Centre Hospitalier Universitaire d’Angers, 49933 Angers, France Contributed by Douglas C. Wallace, August 1, 2014 (sent for review May -
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. -
Primate Specific Retrotransposons, Svas, in the Evolution of Networks That Alter Brain Function
Title: Primate specific retrotransposons, SVAs, in the evolution of networks that alter brain function. Olga Vasieva1*, Sultan Cetiner1, Abigail Savage2, Gerald G. Schumann3, Vivien J Bubb2, John P Quinn2*, 1 Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, U.K 2 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK 3 Division of Medical Biotechnology, Paul-Ehrlich-Institut, Langen, D-63225 Germany *. Corresponding author Olga Vasieva: Institute of Integrative Biology, Department of Comparative genomics, University of Liverpool, Liverpool, L69 7ZB, [email protected] ; Tel: (+44) 151 795 4456; FAX:(+44) 151 795 4406 John Quinn: Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, The University of Liverpool, Liverpool L69 3BX, UK, [email protected]; Tel: (+44) 151 794 5498. Key words: SVA, trans-mobilisation, behaviour, brain, evolution, psychiatric disorders 1 Abstract The hominid-specific non-LTR retrotransposon termed SINE–VNTR–Alu (SVA) is the youngest of the transposable elements in the human genome. The propagation of the most ancient SVA type A took place about 13.5 Myrs ago, and the youngest SVA types appeared in the human genome after the chimpanzee divergence. Functional enrichment analysis of genes associated with SVA insertions demonstrated their strong link to multiple ontological categories attributed to brain function and the disorders. SVA types that expanded their presence in the human genome at different stages of hominoid life history were also associated with progressively evolving behavioural features that indicated a potential impact of SVA propagation on a cognitive ability of a modern human. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
DNA Polymerase V Activity Is Autoregulated by a Novel Intrinsic DNA-Dependent
1 2 DNA polymerase V activity is autoregulated by a novel intrinsic DNA-dependent 3 ATPase 4 Aysen L. Erdem1, Malgorzata Jaszczur1, Jeffrey G. Bertram1, Roger Woodgate2, Michael M. Cox3 & 5 Myron F. Goodman1 6 1Departments of Biological Sciences and Chemistry, University of Southern California, University 7 Park, Los Angeles, California 90089-2910, USA. 2Laboratory of Genomic Integrity, National 8 Institute of Child Health and Human Development, National Institutes of Health, Bethesda, 9 Maryland 20892-3371, USA. 3Department of Biochemistry, University of Wisconsin-Madison, 10 Madison, Wisconsin 53706, USA. 11 12 Escherichia coli DNA polymerase V (pol V), a heterotrimeric complex composed of UmuD′2C, 13 is marginally active. ATP and RecA play essential roles in the activation of pol V for DNA 14 synthesis including translesion synthesis (TLS). We have established three features of the roles 15 of ATP and RecA. 1) RecA-activated DNA polymerase V (pol V Mut), is a DNA-dependent 16 ATPase; 2) bound ATP is required for DNA synthesis; 3) pol V Mut function is regulated by 17 ATP, with ATP required to bind primer/template (p/t) DNA and ATP hydrolysis triggering 18 dissociation from the DNA. Pol V Mut formed with an ATPase-deficient RecA E38K/K72R 19 mutant hydrolyzes ATP rapidly, establishing the DNA-dependent ATPase as an intrinsic 20 property of pol V Mut distinct from the ATP hydrolytic activity of RecA when bound to 21 single-stranded (ss)DNA as a nucleoprotein filament (RecA*). No similar ATPase activity or 22 autoregulatory mechanism has previously been found for a DNA polymerase. -
Core Human Mitochondrial Transcription Apparatus Is a Regulated Two-Component System in Vitro
Core human mitochondrial transcription apparatus is a regulated two-component system in vitro Timothy E. Shutta, Maria F. Lodeirob, Justin Cotneya, Craig E. Cameronb, and Gerald S. Shadela,c,1 aDepartment of Pathology, Yale University School of Medicine, 310 Cedar Street, P.O. Box 208023, New Haven, CT 06520-8023; bDepartment of Biochemistry and Molecular Biology, Pennsylvania State University, 201 Althouse Laboratory, University Park, PA 16802; and cDepartment of Genetics, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208005, New Haven, CT 06520-8005 Edited by David A. Clayton, Howard Hughes Medical Institute, Ashburn, VA, and accepted by the Editorial Board May 25, 2010 (received for review September 15, 2009) The core human mitochondrial transcription apparatus is currently ribosomal proteins to generate mitochondrial ribosomes. Finally, regarded as an obligate three-component system comprising the transcripts from the LSP are also used as primers for mtDNA bacteriophage T7-related mitochondrial RNA polymerase, the rRNA replication (5, 6), thus LSP transcription serves a dual role in methyltransferase-related transcription factor, h-mtTFB2, and the gene expression and mtDNA maintenance (7, 8). high mobility group box transcription/DNA-packaging factor, Much effort has been devoted to identifying the core machin- h-mtTFA/TFAM. Using a faithful recombinant human mitochondrial ery needed for mitochondrial transcription in humans as a critical transcription system from Escherichia coli, we demonstrate that step toward understanding the mechanism of human mitochon- specific initiation from the mtDNA promoters, LSP and HSP1, only drial gene expression and replication in vivo and its role in human requires mitochondrial RNA polymerase and h-mtTFB2 in vitro. -
Human Glucokinase Gene
Proc. Nati. Acad. Sci. USA Vol. 89, pp. 7698-7702, August 1992 Genetics Human glucokinase gene: Isolation, characterization, and identification of two missense mutations linked to early-onset non-insulin-dependent (type 2) diabetes mellitus (glucose/metabolism/phosphorylation/structure4unctlon/chromosome 7) M. STOFFEL*, PH. FROGUELt, J. TAKEDA*, H. ZOUALItt, N. VIONNET*, S. NISHI*§, I. T. WEBER¶, R. W. HARRISON¶, S. J. PILKISII, S. LESAGEtt, M. VAXILLAIREtt, G. VELHOtt, F. SUNtt, F. lIRSt, PH. PASSAt, D. COHENt, AND G. I. BELL*"** *Howard Hughes Medical Institute, and Departments of Biochemistry and Molecular Biology, and of Medicine, The University of Chicago, 5841 South Maryland Avenue, MC1028, Chicago, IL 60637; §Second Division of Internal Medicine, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka 431-32, Japan; IDepartment of Pharmacology, Jefferson Cancer Institute, Thomas Jefferson University, Philadelphia, PA 19107; IlDepartment of Physiology and Biophysics, State University of New York, Stony Brook, NY 11794; tCentre d'Etude du Polymorphisme Humain, 27 rue Juliette Dodu, and Service d'Endocrinologie, H6pital Saint-Louis, 75010 Paris, France; and tG6ndthon, 1 rue de l'Internationale, 91000 Evry, France Communicated by Jean Dausset, May 28, 1992 ABSTRACT DNA polymorphisms in the glucokinase gene by maintaining a gradient for glucose transport into these cells have recently been shown to be tightly linked to early-onset thereby regulating hepatic glucose disposal. In (3 cells, glu- non-insulin-dependent diabetes mellitus in "80% of French cokinase is believed to be part of the glucose-sensing mech- families with this form of diabetes. We previously identified a anism and to be involved in the regulation ofinsulin secretion. -
Arthur Kornberg Discovered (The First) DNA Polymerase Four
Arthur Kornberg discovered (the first) DNA polymerase Using an “in vitro” system for DNA polymerase activity: 1. Grow E. coli 2. Break open cells 3. Prepare soluble extract 4. Fractionate extract to resolve different proteins from each other; repeat; repeat 5. Search for DNA polymerase activity using an biochemical assay: incorporate radioactive building blocks into DNA chains Four requirements of DNA-templated (DNA-dependent) DNA polymerases • single-stranded template • deoxyribonucleotides with 5’ triphosphate (dNTPs) • magnesium ions • annealed primer with 3’ OH Synthesis ONLY occurs in the 5’-3’ direction Fig 4-1 E. coli DNA polymerase I 5’-3’ polymerase activity Primer has a 3’-OH Incoming dNTP has a 5’ triphosphate Pyrophosphate (PP) is lost when dNMP adds to the chain E. coli DNA polymerase I: 3 separable enzyme activities in 3 protein domains 5’-3’ polymerase + 3’-5’ exonuclease = Klenow fragment N C 5’-3’ exonuclease Fig 4-3 E. coli DNA polymerase I 3’-5’ exonuclease Opposite polarity compared to polymerase: polymerase activity must stop to allow 3’-5’ exonuclease activity No dNTP can be re-made in reversed 3’-5’ direction: dNMP released by hydrolysis of phosphodiester backboneFig 4-4 Proof-reading (editing) of misincorporated 3’ dNMP by the 3’-5’ exonuclease Fidelity is accuracy of template-cognate dNTP selection. It depends on the polymerase active site structure and the balance of competing polymerase and exonuclease activities. A mismatch disfavors extension and favors the exonuclease.Fig 4-5 Superimposed structure of the Klenow fragment of DNA pol I with two different DNAs “Fingers” “Thumb” “Palm” red/orange helix: 3’ in red is elongating blue/cyan helix: 3’ in blue is getting edited Fig 4-6 E. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Genetic Features of Myelodysplastic Syndrome and Aplastic Anemia in Pediatric and Young Adult Patients
Bone Marrow Failure SUPPLEMENTARY APPENDIX Genetic features of myelodysplastic syndrome and aplastic anemia in pediatric and young adult patients Siobán B. Keel, 1* Angela Scott, 2,3,4 * Marilyn Sanchez-Bonilla, 5 Phoenix A. Ho, 2,3,4 Suleyman Gulsuner, 6 Colin C. Pritchard, 7 Janis L. Abkowitz, 1 Mary-Claire King, 6 Tom Walsh, 6** and Akiko Shimamura 5** 1Department of Medicine, Division of Hematology, University of Washington, Seattle, WA; 2Clinical Research Division, Fred Hutchinson Can - cer Research Center, Seattle, WA; 3Department of Pediatric Hematology/Oncology, Seattle Children’s Hospital, WA; 4Department of Pedi - atrics, University of Washington, Seattle, WA; 5Boston Children’s Hospital, Dana Farber Cancer Institute, and Harvard Medical School, MA; 6Department of Medicine and Department of Genome Sciences, University of Washington, Seattle, WA; and 7Department of Laboratory Medicine, University of Washington, Seattle, WA, USA *SBK and ASc contributed equally to this work **TW and ASh are co-senior authors ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2016.149476 Received: May 16, 2016. Accepted: July 13, 2016. Pre-published: July 14, 2016. Correspondence: [email protected] or [email protected] Supplementary materials Supplementary methods Retrospective chart review Patient data were collected from medical records by two investigators blinded to the results of genetic testing. The following information was collected: date of birth, transplant, death, and last follow-up,