A Comprehensive Analysis of Allelic Methylation Status of Cpg Islands
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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. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
N6AMT1 / HEMK2 (1-214, His-Tag) Human Protein – AR51691PU-N
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for AR51691PU-N N6AMT1 / HEMK2 (1-214, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: N6AMT1 / HEMK2 (1-214, His-tag) human recombinant protein, 0.1 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 25.3 kDa Concentration: lot specific Purity: >85% by SDS - PAGE Buffer: Presentation State: Purified Buffer System: Liquid, In Phosphate buffered saline (pH7.4) containing 20% glycerol, 1mM DTT. Protein Description: Recombinant human N6ATM1 protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography techniques. Storage: Store undiluted at 2-8°C for one week or (in aliquots) at -20°C to -80°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. RefSeq: NP_037372 Locus ID: 29104 UniProt ID: Q9Y5N5 Cytogenetics: 21q21.3 Synonyms: C21orf127; HEMK2; KMT9; m.HsaHemK2P; MTQ2; N6AMT; PRED28; PrmC Summary: This gene encodes an N(6)-adenine-specific DNA methyltransferase. The encoded enzyme may be involved in the methylation of release factor I during translation termination. This enzyme is also involved in converting the arsenic metabolite monomethylarsonous acid to the less toxic dimethylarsonic acid. Alternative splicing pf this gene results in multiple transcript variants. A related pseudogene has been identified on chromosome 11. [provided by RefSeq, Jul 2014] Protein Families: Druggable Genome This product is to be used for laboratory only. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
The Genetic Architecture of Down Syndrome Phenotypes Revealed by High-Resolution Analysis of Human Segmental Trisomies
The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies Jan O. Korbela,b,c,1, Tal Tirosh-Wagnerd,1, Alexander Eckehart Urbane,f,1, Xiao-Ning Chend, Maya Kasowskie, Li Daid, Fabian Grubertf, Chandra Erdmang, Michael C. Gaod, Ken Langeh,i, Eric M. Sobelh, Gillian M. Barlowd, Arthur S. Aylsworthj,k, Nancy J. Carpenterl, Robin Dawn Clarkm, Monika Y. Cohenn, Eric Dorano, Tzipora Falik-Zaccaip, Susan O. Lewinq, Ira T. Lotto, Barbara C. McGillivrayr, John B. Moeschlers, Mark J. Pettenatit, Siegfried M. Pueschelu, Kathleen W. Raoj,k,v, Lisa G. Shafferw, Mordechai Shohatx, Alexander J. Van Ripery, Dorothy Warburtonz,aa, Sherman Weissmanf, Mark B. Gersteina, Michael Snydera,e,2, and Julie R. Korenbergd,h,bb,2 Departments of aMolecular Biophysics and Biochemistry, eMolecular, Cellular, and Developmental Biology, and fGenetics, Yale University School of Medicine, New Haven, CT 06520; bEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany; cEuropean Molecular Biology Laboratory (EMBL) Outstation Hinxton, EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom; dMedical Genetics Institute, Cedars–Sinai Medical Center, Los Angeles, CA 90048; gDepartment of Statistics, Yale University, New Haven, CT 06520; Departments of hHuman Genetics, and iBiomathematics, University of California, Los Angeles, CA 90095; Departments of jPediatrics and kGenetics, University of North Carolina, Chapel Hill, NC 27599; lCenter for Genetic Testing, -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Chromosome 21 Leading Edge Gene Set
Chromosome 21 Leading Edge Gene Set Genes from chr21q22 that are part of the GSEA leading edge set identifying differences between trisomic and euploid samples. Multiple probe set IDs corresponding to a single gene symbol are combined as part of the GSEA analysis. Gene Symbol Probe Set IDs Gene Title 203865_s_at, 207999_s_at, 209979_at, adenosine deaminase, RNA-specific, B1 ADARB1 234539_at, 234799_at (RED1 homolog rat) UDP-Gal:betaGlcNAc beta 1,3- B3GALT5 206947_at galactosyltransferase, polypeptide 5 BACE2 217867_x_at, 222446_s_at beta-site APP-cleaving enzyme 2 1553227_s_at, 214820_at, 219280_at, 225446_at, 231860_at, 231960_at, bromodomain and WD repeat domain BRWD1 244622_at containing 1 C21orf121 240809_at chromosome 21 open reading frame 121 C21orf130 240068_at chromosome 21 open reading frame 130 C21orf22 1560881_a_at chromosome 21 open reading frame 22 C21orf29 1552570_at, 1555048_at_at, 1555049_at chromosome 21 open reading frame 29 C21orf33 202217_at, 210667_s_at chromosome 21 open reading frame 33 C21orf45 219004_s_at, 228597_at, 229671_s_at chromosome 21 open reading frame 45 C21orf51 1554430_at, 1554432_x_at, 228239_at chromosome 21 open reading frame 51 C21orf56 223360_at chromosome 21 open reading frame 56 C21orf59 218123_at, 244369_at chromosome 21 open reading frame 59 C21orf66 1555125_at, 218515_at, 221158_at chromosome 21 open reading frame 66 C21orf7 221211_s_at chromosome 21 open reading frame 7 C21orf77 220826_at chromosome 21 open reading frame 77 C21orf84 239968_at, 240589_at chromosome 21 open reading frame 84 -
N6AMT1 Rabbit Pab
Leader in Biomolecular Solutions for Life Science N6AMT1 Rabbit pAb Catalog No.: A7201 Basic Information Background Catalog No. This gene encodes an N(6)-adenine-specific DNA methyltransferase. The encoded A7201 enzyme may be involved in the methylation of release factor I during translation termination. This enzyme is also involved in converting the arsenic metabolite Observed MW monomethylarsonous acid to the less toxic dimethylarsonic acid. Alternative splicing pf 23KDa this gene results in multiple transcript variants. A related pseudogene has been identified on chromosome 11. Calculated MW 19kDa/22kDa Category Primary antibody Applications WB, IHC, IF Cross-Reactivity Human, Mouse, Rat Recommended Dilutions Immunogen Information WB 1:500 - 1:2000 Gene ID Swiss Prot 29104 Q9Y5N5 IHC 1:50 - 1:200 Immunogen 1:50 - 1:100 IF Recombinant fusion protein containing a sequence corresponding to amino acids 1-186 of human N6AMT1 (NP_877426.3). Synonyms N6AMT1;C21orf127;HEMK2;MTQ2;N6AMT;PRED28;m.HsaHemK2P Contact Product Information www.abclonal.com Source Isotype Purification Rabbit IgG Affinity purification Storage Store at -20℃. Avoid freeze / thaw cycles. Buffer: PBS with 0.02% sodium azide,50% glycerol,pH7.3. Validation Data Western blot analysis of extracts of Rat kidney, using N6AMT1 antibody (A7201) at 1:1000 dilution. Secondary antibody: HRP Goat Anti-Rabbit IgG (H+L) (AS014) at 1:10000 dilution. Lysates/proteins: 25ug per lane. Blocking buffer: 3% nonfat dry milk in TBST. Detection: ECL Basic Kit (RM00020). Exposure time: 90s. Immunohistochemistry of paraffin- Immunohistochemistry of paraffin- Immunofluorescence analysis of PC-12 embedded rat brain using N6AMT1 embedded human kidney using N6AMT1 cells using N6AMT1 Rabbit pAb (A7201) at Antibody (A7201) at dilution of 1:100 (40x Antibody (A7201) at dilution of 1:100 (40x dilution of 1:100 (40x lens). -
Methyltransferase (AS3MT) and N-6 Adenine-Specific DNA Methyltransferase 1 (N6AMT1) Polymorphisms, Arsenic Metabolism, and Cancer Risk in a Chilean Population
HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Environ Manuscript Author Mol Mutagen. Author Manuscript Author manuscript; available in PMC 2018 July 01. Published in final edited form as: Environ Mol Mutagen. 2017 July ; 58(6): 411–422. doi:10.1002/em.22104. Associations between arsenic (+3 oxidation state) methyltransferase (AS3MT) and N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) polymorphisms, arsenic metabolism, and cancer risk in a Chilean population Rosemarie de la Rosa1, Craig Steinmaus1, Nicholas K Akers1, Lucia Conde1, Catterina Ferreccio2, David Kalman3, Kevin R Zhang1, Christine F Skibola1, Allan H Smith1, Luoping Zhang1, and Martyn T Smith1 1Superfund Research Program, School of Public Health, University of California, Berkeley, CA 2Pontificia Universidad Católica de Chile, Santiago, Chile, Advanced Center for Chronic Diseases, ACCDiS 3School of Public Health, University of Washington, Seattle, WA Abstract Inter-individual differences in arsenic metabolism have been linked to arsenic-related disease risks. Arsenic (+3) methyltransferase (AS3MT) is the primary enzyme involved in arsenic metabolism, and we previously demonstrated in vitro that N-6 adenine-specific DNA methyltransferase 1 (N6AMT1) also methylates the toxic iAs metabolite, monomethylarsonous acid (MMA), to the less toxic dimethylarsonic acid (DMA). Here, we evaluated whether AS3MT and N6AMT1 gene polymorphisms alter arsenic methylation and impact iAs-related cancer risks. We assessed AS3MT and N6AMT1 polymorphisms and urinary arsenic metabolites (%iAs, %MMA, %DMA) in 722 subjects from an arsenic-cancer case-control study in a uniquely exposed area in northern Chile. Polymorphisms were genotyped using a custom designed multiplex, ligation-dependent probe amplification (MLPA) assay for 6 AS3MT SNPs and 14 tag SNPs in the N6AMT1 gene. -
Orphanet Journal of Rare Diseases Biomed Central
Orphanet Journal of Rare Diseases BioMed Central Review Open Access Holoprosencephaly Christèle Dubourg*1,2, Claude Bendavid1,2, Laurent Pasquier3, Catherine Henry4, Sylvie Odent3 and Véronique David*1,2 Address: 1UMR 6061 CNRS, Institut de Génétique et Développement de Rennes, Université de Rennes1, IFR 140 GFAS, Faculté de Médecine, Rennes, 35000, France, 2Laboratoire de Génétique Moléculaire et Hormonologie, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France, 3Service de Génétique Médicale, Hôpital Sud, Rennes, 35000, France and 4Laboratoire de Cytogénétique, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France Email: Christèle Dubourg* - [email protected]; Claude Bendavid - [email protected]; Laurent Pasquier - [email protected]; Catherine Henry - [email protected]; Sylvie Odent - sylvie.odent@chu- rennes.fr; Véronique David* - [email protected] * Corresponding authors Published: 2 February 2007 Received: 1 September 2006 Accepted: 2 February 2007 Orphanet Journal of Rare Diseases 2007, 2:8 doi:10.1186/1750-1172-2-8 This article is available from: http://www.OJRD.com/content/2/1/8 © 2007 Dubourg et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Holoprosencephaly (HPE) is a complex brain malformation resulting from incomplete cleavage of the prosencephalon, occurring between the 18th and the 28th day of gestation and affecting both the forebrain and the face. It is estimated to occur in 1/16,000 live births and 1/250 conceptuses. -
Down Syndrome Congenital Heart Disease: a Narrowed Region and a Candidate Gene Gillian M
March/April 2001 ⅐ Vol. 3 ⅐ No. 2 article Down syndrome congenital heart disease: A narrowed region and a candidate gene Gillian M. Barlow, PhD1, Xiao-Ning Chen, MD1, Zheng Y. Shi, BS1, Gary E. Lyons, PhD2, David M. Kurnit, MD, PhD3, Livija Celle, MS4, Nancy B. Spinner, PhD4, Elaine Zackai, MD4, Mark J. Pettenati, PhD5, Alexander J. Van Riper, MS6, Michael J. Vekemans, MD7, Corey H. Mjaatvedt, PhD8, and Julie R. Korenberg, PhD, MD1 Purpose: Down syndrome (DS) is a major cause of congenital heart disease (CHD) and the most frequent known cause of atrioventricular septal defects (AVSDs). Molecular studies of rare individuals with CHD and partial duplications of chromosome 21 established a candidate region that included D21S55 through the telomere. We now report human molecular and cardiac data that narrow the DS-CHD region, excluding two candidate regions, and propose DSCAM (Down syndrome cell adhesion molecule) as a candidate gene. Methods: A panel of 19 individuals with partial trisomy 21 was evaluated using quantitative Southern blot dosage analysis and fluorescence in situ hybridization (FISH) with subsets of 32 BACs spanning the region defined by D21S16 (21q11.2) through the telomere. These BACs span the molecular markers D21S55, ERG, ETS2, MX1/2, collagen XVIII and collagen VI A1/A2. Fourteen individuals are duplicated for the candidate region, of whom eight (57%) have the characteristic spectrum of DS-CHD. Results: Combining the results from these eight individuals suggests the candidate region for DS-CHD is demarcated by D21S3 (defined by ventricular septal defect), through PFKL (defined by tetralogy of Fallot). Conclusions: These data suggest that the presence of three copies of gene(s) from the region is sufficient for the production of subsets of DS-CHD. -
Genetic and Non-Genetic Factors Associated with the Phenotype Of
www.nature.com/scientificreports OPEN Genetic and non‑genetic factors associated with the phenotype of exceptional longevity & normal cognition Bin Han1, Huashuai Chen2,3, Yao Yao7, Xiaomin Liu4,5, Chao Nie4,5, Junxia Min6, Yi Zeng2,7* & Michael W. Lutz8* In this study, we split 2156 individuals from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) data into two groups, establishing a phenotype of exceptional longevity & normal cognition versus cognitive impairment. We conducted a genome‑wide association study (GWAS) to identify signifcant genetic variants and biological pathways that are associated with cognitive impairment and used these results to construct polygenic risk scores. We elucidated the important and robust factors, both genetic and non‑genetic, in predicting the phenotype, using several machine learning models. The GWAS identifed 28 signifcant SNPs at p‑value < 3 × 10−5 signifcance level and we pinpointed four genes, ESR1, PHB, RYR3, GRIK2, that are associated with the phenotype though immunological systems, brain function, metabolic pathways, infammation and diet in the CLHLS cohort. Using both genetic and non‑genetic factors, four machine learning models have close prediction results for the phenotype measured in Area Under the Curve: random forest (0.782), XGBoost (0.781), support vector machine with linear kernel (0.780), and ℓ2 penalized logistic regression (0.780). The top four important and congruent features in predicting the phenotype identifed by these four models are: polygenic risk score, sex, age, and education. Cognitive Impairment (CI) is defned as the loss of ability in cognitive functions, such as remembering, learning, and concentrating, which negatively impacts afected individuals’ daily activities1.