Human Mitochondrial RNA Polymerase Primes Lagging-Strand DNA Synthesis in Vitro
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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. -
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. -
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). -
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. -
Identification of Transcriptomic Differences Between Lower
International Journal of Molecular Sciences Article Identification of Transcriptomic Differences between Lower Extremities Arterial Disease, Abdominal Aortic Aneurysm and Chronic Venous Disease in Peripheral Blood Mononuclear Cells Specimens Daniel P. Zalewski 1,*,† , Karol P. Ruszel 2,†, Andrzej St˛epniewski 3, Dariusz Gałkowski 4, Jacek Bogucki 5 , Przemysław Kołodziej 6 , Jolanta Szyma ´nska 7 , Bartosz J. Płachno 8 , Tomasz Zubilewicz 9 , Marcin Feldo 9,‡ , Janusz Kocki 2,‡ and Anna Bogucka-Kocka 1,‡ 1 Chair and Department of Biology and Genetics, Medical University of Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] 2 Chair of Medical Genetics, Department of Clinical Genetics, Medical University of Lublin, 11 Radziwiłłowska St., 20-080 Lublin, Poland; [email protected] (K.P.R.); [email protected] (J.K.) 3 Ecotech Complex Analytical and Programme Centre for Advanced Environmentally Friendly Technologies, University of Marie Curie-Skłodowska, 39 Gł˛ebokaSt., 20-612 Lublin, Poland; [email protected] 4 Department of Pathology and Laboratory Medicine, Rutgers-Robert Wood Johnson Medical School, One Robert Wood Johnson Place, New Brunswick, NJ 08903-0019, USA; [email protected] 5 Chair and Department of Organic Chemistry, Medical University of Lublin, 4a Chod´zkiSt., Citation: Zalewski, D.P.; Ruszel, K.P.; 20-093 Lublin, Poland; [email protected] St˛epniewski,A.; Gałkowski, D.; 6 Laboratory of Diagnostic Parasitology, Chair and Department of Biology and Genetics, Medical University of Bogucki, J.; Kołodziej, P.; Szyma´nska, Lublin, 4a Chod´zkiSt., 20-093 Lublin, Poland; [email protected] J.; Płachno, B.J.; Zubilewicz, T.; Feldo, 7 Department of Integrated Paediatric Dentistry, Chair of Integrated Dentistry, Medical University of Lublin, M.; et al. -
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 -
Mitochondrial DNA Mutations Cause Various Diseases
2013 Neurobiology of Disease in Children Symposium: Mitochondrial Disease, October 30, 2013 Defects of Mitochondrial DNA Replication William C. Copeland Laboratory of Molecular Genetics Mitochondrial DNA mutations cause various diseases * Alpers Disease * Leigh Disease or Syndrome * Barth syndrome * LHON * Beta-oxidation Defects * LIC (Lethal Infantile Cardiomyopathy) * Carnitine-Acyl-Carnitine * Luft Disease Deficiency * MAD * Carnitine Deficiency * MCAD * Co-Enzyme Q10 Deficiency * MELAS * Complex I Deficiency * MERRF * Complex II Deficiency * Mitochondrial Cytopathy * Complex III Deficiency * Mitochondrial DNA Depletion * Complex IV Deficiency * Mitochondrial Encephalopathy * Complex V Deficiency * Mitochondrial Myopathy * COX Deficiency * MNGIE * CPEO * NARP * CPT I Deficiency * Pearson Syndrome * CPT II Deficiency * Pyruvate Carboxylase Deficiency * Glutaric Aciduria Type II * Pyruvate Dehydrogenase Deficiency * KSS * Respiratory Chain * Lactic Acidosis * SCAD * LCAD * SCHAD * LCHAD * VLCAD Origins of mtDNA mutations Damage to DNA •Environmental factors •Endogenous oxidative stress Spontaneous errors •DNA replication •Translesion synthesis •DNA repair re-synthesis Mitochondrial DNA replication p32 - RNaseH 16 Human DNA Polymerases Polymerase Family Chromosome Mol. Wt. (kDa) Function/Comments α (alpha) B Xq21.3-q22.1 165 Initiates replication β (beta) X 8p12-p11 39 BER, other functions γ (gamma) A 15q25 140 Mitochondrial replication & repair δ (delta) B 19q13.3-.4 125 Replication, BER, NER, MMR ε (epsilon) B 12q24.3 255 Replication, checkpoint -
The Mtdna Replication-Related Genes TFAM and POLG Are Associated with Leprosy in Han Chinese from Southwest China Journal of De
Journal of Dermatological Science 88 (2017) 349–356 Contents lists available at ScienceDirect Journal of Dermatological Science journa l homepage: www.jdsjournal.com The mtDNA replication-related genes TFAM and POLG are associated with leprosy in Han Chinese from Southwest China a a,d a a a b Dong Wang , Guo-Dong Li , Yu Fan , Deng-Feng Zhang , Rui Bi , Xiu-Feng Yu , b c a,d, Heng Long , Yu-Ye Li , Yong-Gang Yao * a Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan, 650223, China b Wenshan Institute of Dermatology, Wenshan, Yunnan, 663000, China c Department of Dermatology, The First Affiliated Hospital of Kunming Medical University, Kunming, Yunnan, 650032, China d Kunming College of Life Science, University of Chinese Academy of Sciences, Kunming, Yunnan 650201, China A R T I C L E I N F O A B S T R A C T Article history: Background: The pathogen Mycobacterium leprae of leprosy is heavily dependent on the host energy Received 2 June 2017 metabolites and nutritional products for survival. Previously we and others have identified associations Received in revised form 7 September 2017 of several mitochondrion-related genes and mitochondrial DNA (mtDNA) copy number alterations with Accepted 13 September 2017 leprosy and/or its subtype. We hypothesized that genetic variants of mtDNA replication-related genes would affect leprosy. Keywords: Objective: We aimed to identify genetic associations between the mtDNA replication-related genes TFAM, Leprosy POLG and leprosy. TFAM Methods: Genetic association study was performed in 2898 individuals from two independent sample POLG fi eQTL sets in Yunnan Province, China. -
Supplementary Table 2
Supplementary Table 2. Differentially Expressed Genes following Sham treatment relative to Untreated Controls Fold Change Accession Name Symbol 3 h 12 h NM_013121 CD28 antigen Cd28 12.82 BG665360 FMS-like tyrosine kinase 1 Flt1 9.63 NM_012701 Adrenergic receptor, beta 1 Adrb1 8.24 0.46 U20796 Nuclear receptor subfamily 1, group D, member 2 Nr1d2 7.22 NM_017116 Calpain 2 Capn2 6.41 BE097282 Guanine nucleotide binding protein, alpha 12 Gna12 6.21 NM_053328 Basic helix-loop-helix domain containing, class B2 Bhlhb2 5.79 NM_053831 Guanylate cyclase 2f Gucy2f 5.71 AW251703 Tumor necrosis factor receptor superfamily, member 12a Tnfrsf12a 5.57 NM_021691 Twist homolog 2 (Drosophila) Twist2 5.42 NM_133550 Fc receptor, IgE, low affinity II, alpha polypeptide Fcer2a 4.93 NM_031120 Signal sequence receptor, gamma Ssr3 4.84 NM_053544 Secreted frizzled-related protein 4 Sfrp4 4.73 NM_053910 Pleckstrin homology, Sec7 and coiled/coil domains 1 Pscd1 4.69 BE113233 Suppressor of cytokine signaling 2 Socs2 4.68 NM_053949 Potassium voltage-gated channel, subfamily H (eag- Kcnh2 4.60 related), member 2 NM_017305 Glutamate cysteine ligase, modifier subunit Gclm 4.59 NM_017309 Protein phospatase 3, regulatory subunit B, alpha Ppp3r1 4.54 isoform,type 1 NM_012765 5-hydroxytryptamine (serotonin) receptor 2C Htr2c 4.46 NM_017218 V-erb-b2 erythroblastic leukemia viral oncogene homolog Erbb3 4.42 3 (avian) AW918369 Zinc finger protein 191 Zfp191 4.38 NM_031034 Guanine nucleotide binding protein, alpha 12 Gna12 4.38 NM_017020 Interleukin 6 receptor Il6r 4.37 AJ002942 -
The Role of Mitochondrial DNA Mutations in Mammalian Aging Gregory C
Review The Role of Mitochondrial DNA Mutations in Mammalian Aging Gregory C. Kujoth, Patrick C. Bradshaw, Suraiya Haroon, Tomas A. Prolla* ABSTRACT humans is likely to carry these disease-associated mutations. Thus, it is unlikely that these mutations have deleterious itochondrial DNA (mtDNA) accumulates both consequences in normal aging. Studies performed in the base-substitution mutations and deletions with Attardi laboratory have established that some specific base- M aging in several tissues in mammals. Here, we substitution mutations can reach high levels in fibroblast cells examine the evidence supporting a causative role for mtDNA derived from aged individuals [2] and also in skeletal muscle mutations in mammalian aging. We describe and compare [3]. The reason why these specific mutations accumulate in human diseases and mouse models associated with mtDNA is unclear, but they are tissue-specific and occur in mitochondrial genome instability. We also discuss potential mtDNA control sites for replication. Interestingly, the same mechanisms for the generation of these mutations and the group has found a C150T transition mutation that occurs in means by which they may mediate their pathological most or all mtDNA molecules (i.e., a homoplasmic mutation) consequences. Strategies for slowing the accumulation and is present in leukocytes from approximately 17% of attenuating the effects of mtDNA mutations are discussed. individuals aged 99–106 years old. This mutation is associated with a new replication origin position, suggesting that it may Introduction confer a survival advantage in humans [4]. With the development of high-throughput sequencing The mitochondrial theory of aging is based on the premise methods, an unbiased large-scale examination of either that reactive oxygen species (ROS), generated throughout the selected regions or the entire mtDNA sequence has become lifespan of an organism, damage mitochondrial feasible. -
EGL Test Description
2460 Mountain Industrial Boulevard | Tucker, Georgia 30084 Phone: 470-378-2200 or 855-831-7447 | Fax: 470-378-2250 eglgenetics.com Inherited Metabolic Disorders Panel: Sequencing and CNV Analysis Test Code: MM310 Turnaround time: 6 weeks CPT Codes: 81404 x1, 81406 x1, 81405 x1 Condition Description Inherited metabolic disorders refer to diseases caused by defects in genes that are involved in the body’s metabolism. These usually involve the production, conversion, or use of energy. Traditionally, inherited metabolic conditions were broadly classified as disorders of carbohydrate metabolism, amino acid metabolism, organic acid metabolism, or lysosomal storage diseases. This test analyses genes involved in complex metabolic processes in the body including but not limited to the above four categories. Reference: OMIM. Genes ACAD9, ACADL, ACADM, ACADS, ACADVL, ACSF3, AGA, AGL, ALDH5A1, ARSA, ASL, ASS1, ATPAF2, AUH, BCKDHA, BCKDHB, CD320, CLN3, CLN5, CLN6, CLN8, CPS1, CPT1A, CPT2, CYP27A1, DBT, DLD, ENO3, ETFA, ETFB, ETFDH, G6PC, GAA, GALC, GALNS, GBA, GBE1, GLA, GLB1, GM2A, GNPTAB, GYS1, GYS2, HADHA, HADHB, HGSNAT, HMGCL, HMGCS2, HYAL1, IDS, IDUA, IVD, LIPA, LMBRD1, LPIN1, MAN2B1, MANBA, MCCC1, MCCC2, MCEE, MCOLN1, MFSD8, MLYCD, MMAA, MMAB, MMACHC, MMADHC, MMUT, MTR, MTRR, NAGA, NAGLU, NAGS, NEU1, NPC1, NPC2, OPA3, OTC, PC, PCCA, PCCB, PFKM, POLG, PPT1, PYGL, PYGM, SERAC1, SGSH, SLC17A5, SLC22A5, SLC25A13, SLC25A15, SLC25A20, SLC37A4, SLC7A7, SMPD1, SUCLG1, SUMF1, TAZ, TMEM70, TPP1 Indications This test is indicated for: Confirmation of a clinical diagnosis of inherited metabolic disorders. Methodology Next Generation Sequencing: In-solution hybridization of all coding exons is performed on the patient's genomic DNA. Although some deep intronic regions may also be analyzed, this assay is not meant to interrogate most promoter regions, deep intronic regions, or other regulatory elements, and does not detect single or multi-exon deletions or duplications.