Single-Base Resolution Mapping of 5-Hydroxymethylcytosine Modifications in Hippocampus of Alzheimer's Disease Subjects Elizabeth M
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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. -
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. -
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Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Psychosis: a Convergent Functional Genomics Approach Identifying a Series of Candidate Genes for Mania
Identifying a series of candidate genes for mania and psychosis: a convergent functional genomics approach ALEXANDER B. NICULESCU, III, DAVID S. SEGAL, RONALD KUCZENSKI, THOMAS BARRETT, RICHARD L. HAUGER and JOHN R. KELSOE Physiol. Genomics 4:83-91, 2000. You might find this additional information useful... This article cites 52 articles, 15 of which you can access free at: http://physiolgenomics.physiology.org/cgi/content/full/4/1/83#BIBL This article has been cited by 4 other HighWire hosted articles: Evaluation of common gene expression patterns in the rat nervous system S. Kaiser and L. K. Nisenbaum Physiol Genomics, December 16, 2003; 16 (1): 1-7. [Abstract] [Full Text] [PDF] Microarray Technology: A Review of New Strategies to Discover Candidate Vulnerability Downloaded from Genes in Psychiatric Disorders W. E. Bunney, B. G. Bunney, M. P. Vawter, H. Tomita, J. Li, S. J. Evans, P. V. Choudary, R. M. Myers, E. G. Jones, S. J. Watson and H. Akil Am. J. Psychiatry, April 1, 2003; 160 (4): 657-666. [Abstract] [Full Text] [PDF] Biomarker Identification by Feature Wrappers physiolgenomics.physiology.org M. Xiong, X. Fang and J. Zhao Genome Res., November 1, 2001; 11 (11): 1878-1887. [Abstract] [Full Text] [PDF] GRK3 mediates desensitization of CRF1 receptors: a potential mechanism regulating stress adaptation F. M. Dautzenberg, S. Braun and R. L. Hauger Am J Physiol Regulatory Integrative Comp Physiol, April 1, 2001; 280 (4): R935-946. [Abstract] [Full Text] Medline items on this article's topics can be found at http://highwire.stanford.edu/lists/artbytopic.dtl on the following topics: on August 11, 2005 Immunology . -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
TCEAL1 Mouse Monoclonal Antibody [Clone ID: OTI3G9] Product Data
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 CF807707 TCEAL1 Mouse Monoclonal Antibody [Clone ID: OTI3G9] Product data: Product Type: Primary Antibodies Clone Name: OTI3G9 Applications: WB Recommended Dilution: WB 1:2000 Reactivity: Human Host: Mouse Isotype: IgG1 Clonality: Monoclonal Immunogen: Full length human recombinant protein of human TCEAL1 (NP_004771) produced in E.coli. Formulation: Lyophilized powder (original buffer 1X PBS, pH 7.3, 8% trehalose) Reconstitution Method: For reconstitution, we recommend adding 100uL distilled water to a final antibody concentration of about 1 mg/mL. To use this carrier-free antibody for conjugation experiment, we strongly recommend performing another round of desalting process. (OriGene recommends Zeba Spin Desalting Columns, 7KMWCO from Thermo Scientific) Purification: Purified from mouse ascites fluids or tissue culture supernatant by affinity chromatography (protein A/G) Conjugation: Unconjugated Storage: Store at -20°C as received. Stability: Stable for 12 months from date of receipt. Predicted Protein Size: 18.5 kDa Gene Name: Homo sapiens transcription elongation factor A like 1 (TCEAL1), transcript variant 1, mRNA. Database Link: NP_004771 Entrez Gene 9338 Human Q15170 This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 2 TCEAL1 Mouse Monoclonal Antibody [Clone ID: OTI3G9] – CF807707 Background: This gene encodes a member of the transcription elongation factor A (SII)-like (TCEAL) gene family. -
1 Substitution Mapping in Dahl Rats Identifies Two Distinct Blood
Genetics: Published Articles Ahead of Print, published on October 8, 2006 as 10.1534/genetics.106.061747 1 Substitution Mapping in Dahl Rats Identifies Two Distinct Blood Pressure Quantitative Trait Loci within 1.12 Mb and 1.25 Mb Intervals on Chromosome 3. Soon Jin Lee, Jun Liu, Allison M. Westcott, Joshua A. Vieth, Sarah J. DeRaedt, Siming Yang, Bina Joe, and George T. Cicila Department of Physiology, Pharmacology, Metabolism, and Cardiovascular Sciences University of Toledo College of Medicine, 3035 Arlington Avenue Toledo, Ohio 43614 2 Running Head: Congenic Substrains and Blood Pressure Correspondence to: George T. Cicila, Ph.D. University of Toledo College of Medicine Department of Physiology, Pharmacology, Metabolism, and Cardiovascular Sciences 3035 Arlington Avenue Toledo, Ohio 43614 Phone: (419) 383-4171 Fax: (419) 383-6168 e-mail: [email protected] Key Words: genetic hypertension, inbred rat strains, Dahl salt-sensitive rat, Dahl salt- resistant rat, salt-sensitivity 3 Abstract Substitution mapping was used to refine the localization of blood pressure (BP) quantitative trait loci (QTLs) within the congenic region of S.R-Edn3 rats located at the q-terminus of rat chromosome 3 (RNO3). An F2(SxS.R-Edn3) population (n=173) was screened to identify rats having crossovers within the congenic region of RNO3 and six congenic substrains were developed that carry shorter segments of R-rat derived RNO3. Five of the six congenic substrains had significantly lower BP compared to the parental S rat. The lack of BP lowering effect demonstrated by the S.R(ET3x5) substrain and the BP lowering effect retained by S.R(ET3x2) substrain, together define the RNO3 BP QTL-containing region as approximately 4.64 Mb. -
A Study of Fez1 and Fez2
Faculty of Health Sciences, Department of Pharmacy Molecular Cancer Research Group A study of Fez1 and Fez2 Establishment of Fez1 and Fez2 knock out cells lines Localization of Fez1 and Fez2 Jenny Thuy Tien Nguyen Acknowledgments This master thesis was carried out at the Molecular Cancer Research Group, Institute of Medical Biology, University of Tromsø – The artic University of Norway from August 2016 to May 2017. It has been a period of intense learning for me, not only in the scientific area, but also on a personal level. Therefore I would like to express my deepest thanks to the people who have supported and helped me throughout this period. I would first like to give my deepest thanks to my main supervisor associate-professor Eva Sjøttem, who has spent time to read my master thesis and has given me constructive feedback, and my lab-supervisor, Hanne Britt Brenne for always finding time to help when it was needed. They were both very generous with their time and knowledge and assisted me during the work with my thesis. Thank you both for your motivation, patience and encouragement. In addition, I would like to thank everyone who has given me some of their time and helped me during this master thesis. Last but not least, I must express my very profound gratitude to my family and friends. Thanks all for the encouragements and supports during my studies. This accomplishment would not have been possible without all of you. And special thanks to my mom, for providing me with unfailing support and continuous encouragement throughout my years of study, I love you mom! Jenny Thuy Tien Nguyen Tromsø, May 2017 I II Abstract Autophagy is an essential cellular process that is important to maintain homeostasis by degrading proteins, lipids and organelles during critical times like cellular or environmental stress conditions. -
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. -
Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders
177 Arch Neuropsychitry 2020;57:177−191 RESEARCH ARTICLE https://doi.org/10.29399/npa.24890 Chromosomal Microarray Analysis in Turkish Patients with Unexplained Developmental Delay and Intellectual Developmental Disorders Hakan GÜRKAN1 , Emine İkbal ATLI1 , Engin ATLI1 , Leyla BOZATLI2 , Mengühan ARAZ ALTAY2 , Sinem YALÇINTEPE1 , Yasemin ÖZEN1 , Damla EKER1 , Çisem AKURUT1 , Selma DEMİR1 , Işık GÖRKER2 1Faculty of Medicine, Department of Medical Genetics, Edirne, Trakya University, Edirne, Turkey 2Faculty of Medicine, Department of Child and Adolescent Psychiatry, Trakya University, Edirne, Turkey ABSTRACT Introduction: Aneuploids, copy number variations (CNVs), and single in 39 (39/123=31.7%) patients. Twelve CNV variant of unknown nucleotide variants in specific genes are the main genetic causes of significance (VUS) (9.75%) patients and 7 CNV benign (5.69%) patients developmental delay (DD) and intellectual disability disorder (IDD). were reported. In 6 patients, one or more pathogenic CNVs were These genetic changes can be detected using chromosome analysis, determined. Therefore, the diagnostic efficiency of CMA was found to chromosomal microarray (CMA), and next-generation DNA sequencing be 31.7% (39/123). techniques. Therefore; In this study, we aimed to investigate the Conclusion: Today, genetic analysis is still not part of the routine in the importance of CMA in determining the genomic etiology of unexplained evaluation of IDD patients who present to psychiatry clinics. A genetic DD and IDD in 123 patients. diagnosis from CMA can eliminate genetic question marks and thus Method: For 123 patients, chromosome analysis, DNA fragment analysis alter the clinical management of patients. Approximately one-third and microarray were performed. Conventional G-band karyotype of the positive CMA findings are clinically intervenable. -
The DNA Sequence and Comparative Analysis of Human Chromosome 20
articles The DNA sequence and comparative analysis of human chromosome 20 P. Deloukas, L. H. Matthews, J. Ashurst, J. Burton, J. G. R. Gilbert, M. Jones, G. Stavrides, J. P. Almeida, A. K. Babbage, C. L. Bagguley, J. Bailey, K. F. Barlow, K. N. Bates, L. M. Beard, D. M. Beare, O. P. Beasley, C. P. Bird, S. E. Blakey, A. M. Bridgeman, A. J. Brown, D. Buck, W. Burrill, A. P. Butler, C. Carder, N. P. Carter, J. C. Chapman, M. Clamp, G. Clark, L. N. Clark, S. Y. Clark, C. M. Clee, S. Clegg, V. E. Cobley, R. E. Collier, R. Connor, N. R. Corby, A. Coulson, G. J. Coville, R. Deadman, P. Dhami, M. Dunn, A. G. Ellington, J. A. Frankland, A. Fraser, L. French, P. Garner, D. V. Grafham, C. Grif®ths, M. N. D. Grif®ths, R. Gwilliam, R. E. Hall, S. Hammond, J. L. Harley, P. D. Heath, S. Ho, J. L. Holden, P. J. Howden, E. Huckle, A. R. Hunt, S. E. Hunt, K. Jekosch, C. M. Johnson, D. Johnson, M. P. Kay, A. M. Kimberley, A. King, A. Knights, G. K. Laird, S. Lawlor, M. H. Lehvaslaiho, M. Leversha, C. Lloyd, D. M. Lloyd, J. D. Lovell, V. L. Marsh, S. L. Martin, L. J. McConnachie, K. McLay, A. A. McMurray, S. Milne, D. Mistry, M. J. F. Moore, J. C. Mullikin, T. Nickerson, K. Oliver, A. Parker, R. Patel, T. A. V. Pearce, A. I. Peck, B. J. C. T. Phillimore, S. R. Prathalingam, R. W. Plumb, H. Ramsay, C. M. -
Gait Abnormalities and Progressive Myelin Degeneration in a New Murine Model of Pelizaeus-Merzbacher Disease with Tandem Genomic Duplication
11788 • The Journal of Neuroscience, July 17, 2013 • 33(29):11788–11799 Neurobiology of Disease Gait Abnormalities and Progressive Myelin Degeneration in a New Murine Model of Pelizaeus-Merzbacher Disease with Tandem Genomic Duplication Kristi Clark,1,2 Lauren Sakowski,1,2 Karen Sperle,1 Linda Banser,1 Carlisle P. Landel,3 Denise A. Bessert,4 Robert P. Skoff,4 and Grace M. Hobson1,2,5 1Nemours Biomedical Research, Alfred I. duPont Hospital for Children, Wilmington, Delaware 19803, 2University of Delaware, Department of Biology, Newark, Delaware 19716, 3Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, Pennsylvania 19107, 4Wayne State University, Department of Anatomy and Cell Biology, Detroit, Michigan 48201, and 5Jefferson Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania 19107 Pelizaeus-Merzbacher disease (PMD) is a hypomyelinating leukodystrophy caused by mutations of the proteolipid protein 1 gene (PLP1), which is located on the X chromosome and encodes the most abundant protein of myelin in the central nervous sytem. Approximately 60% of PMD cases result from genomic duplications of a region of the X chromosome that includes the entire PLP1 gene. The duplications are typically in a head-to-tail arrangement, and they vary in size and gene content. Although rodent models with extra copies of Plp1 have been developed, none contains an actual genomic rearrangement that resembles those found in PMD patients. We used mutagenic insertion chromosome engineering resources to generate the Plp1dup mouse model by introducing an X chromosome duplication in the mouse genome that contains Plp1 and five neighboring genes that are also commonly duplicated in PMD patients. The Plp1dup mice display progressive gait abnormalities compared with wild-type littermates.