Functional Analysis of Haplotypes and Promoter Activity at the 5' Region of the ADH7 Gene
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HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptAm J Med Author Manuscript Genet B Neuropsychiatr Author Manuscript Genet. Author manuscript; available in PMC 2015 December 01. Published in final edited form as: Am J Med Genet B Neuropsychiatr Genet. 2014 December ; 0(8): 673–683. doi:10.1002/ajmg.b.32272. Association and ancestry analysis of sequence variants in ADH and ALDH using alcohol-related phenotypes in a Native American community sample Qian Peng1,2,*, Ian R. Gizer3, Ondrej Libiger2, Chris Bizon4, Kirk C. Wilhelmsen4,5, Nicholas J. Schork1, and Cindy L. Ehlers6,* 1 Department of Human Biology, J. Craig Venter Institute, La Jolla, CA 92037 2 Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA 92037 3 Department of Psychological Sciences, University of Missouri-Columbia, Columbia, MO 65211 4 Renaissance Computing Institute, University of North Carolina at Chapel Hill, Chapel Hill, NC 27517 5 Department of Genetics and Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 6 Department of Molecular and Cellular Neuroscience, The Scripps Research Institute, La Jolla, CA 92037 Abstract Higher rates of alcohol use and other drug-dependence have been observed in some Native American populations relative to other ethnic groups in the U.S. Previous studies have shown that alcohol dehydrogenase (ADH) genes and aldehyde dehydrogenase (ALDH) genes may affect the risk of development of alcohol dependence, and that polymorphisms within these genes may differentially affect risk for the disorder depending on the ethnic group evaluated. We evaluated variations in the ADH and ALDH genes in a large study investigating risk factors for substance use in a Native American population. -
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. -
TRANSCRIPTION REGULATION of the CLASS IV ALCOHOL DEHYDROGENASE 7 (ADH7) Sowmya Jairam Submitted to the Faculty of the University
TRANSCRIPTION REGULATION OF THE CLASS IV ALCOHOL DEHYDROGENASE 7 (ADH7) Sowmya Jairam Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Doctor of Philosophy in the Department of Biochemistry and Molecular Biology, Indiana University May 2014 Accepted by the Graduate Faculty, of Indiana University, in partial fulfillment of the requirements for the degree of Doctor of Philosophy. Howard J. Edenberg, Ph.D., Chair Brian P. Herring, Ph.D. Doctoral Committee David G. Skalnik, Ph.D. January 21, 2014 Ronald C. Wek, Ph.D. ii ACKNOWLEDGEMENTS I would like to thank my advisor, Dr. Howard Edenberg, for his guidance and support throughout my time in his lab. He fostered the ability to think independently by asking questions and letting me find the answers, even those I didn’t have readily, while making sure I was on the right track. I know the lessons I have learnt and the training I have received will stand me in good stead in my career. I would also like to thank all the current and former lab members at both the MS building and BRTC, particularly Jun Wang, Dr. Jeanette McClintick, Ron Jerome and Dr. Sirisha Pochareddy for their mentoring and friendship. They have been a great help and an immense support whenever I needed to get a second opinion on a technique or a research idea, and I have enjoyed discussing both scientific and non-scientific topics with them. I would like to thank my committee members Dr. Paul Herring, Dr. David Skalnik and Dr. -
Evaluation of Chromatin Accessibility in Prefrontal Cortex of Individuals with Schizophrenia
ARTICLE DOI: 10.1038/s41467-018-05379-y OPEN Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia Julien Bryois 1, Melanie E. Garrett2, Lingyun Song3, Alexias Safi3, Paola Giusti-Rodriguez 4, Graham D. Johnson 3, Annie W. Shieh13, Alfonso Buil5, John F. Fullard6, Panos Roussos 6,7,8, Pamela Sklar6, Schahram Akbarian 6, Vahram Haroutunian 6,9, Craig A. Stockmeier 10, Gregory A. Wray3,11, Kevin P. White12, Chunyu Liu13, Timothy E. Reddy 3,14, Allison Ashley-Koch2,15, Patrick F. Sullivan 1,4,16 & Gregory E. Crawford 3,17 1234567890():,; Schizophrenia genome-wide association studies have identified >150 regions of the genome associated with disease risk, yet there is little evidence that coding mutations contribute to this disorder. To explore the mechanism of non-coding regulatory elements in schizophrenia, we performed ATAC-seq on adult prefrontal cortex brain samples from 135 individuals with schizophrenia and 137 controls, and identified 118,152 ATAC-seq peaks. These accessible chromatin regions in the brain are highly enriched for schizophrenia SNP heritability. Accessible chromatin regions that overlap evolutionarily conserved regions exhibit an even higher heritability enrichment, indicating that sequence conservation can further refine functional risk variants. We identify few differences in chromatin accessibility between cases and controls, in contrast to thousands of age-related differential accessible chromatin regions. Altogether, we characterize chromatin accessibility in the human prefrontal cortex, the effect of schizophrenia and age on chromatin accessibility, and provide evidence that our dataset will allow for fine mapping of risk variants. 1 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-17177 Stockholm, Sweden. -
Abstract Book
ISSN 0390-6078 Volume 105 OCTOBER 2020 - S2 XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 ABSTRACT BOOK www.haematologica.org XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 COMITATO SCIENTIFICO Pellegrino Musto, Presidente Antonio Curti, Vice Presidente Mario Luppi, Past President Francesco Albano Niccolò Bolli Antonella Caivano Roberta La Starza Luca Malcovati Luca Maurillo Stefano Sacchi SEGRETERIA SIES Via De' Poeti, 1/7 - 40124 Bologna Tel. 051 6390906 - Fax 051 4210174 e-mail: [email protected] www.siesonline.it SEGRETERIA ORGANIZZATIVA Studio ER Congressi Via De' Poeti, 1/7 - 40124 Bologna Tel. 051 4210559 - Fax 051 4210174 e-mail: [email protected] www.ercongressi.it ABSTRACT BOOK supplement 2 - October 2020 Table of Contents XVI Congress of the Italian Society of Experimental Hematology Napoli, Italy, October 15-17, 2020 Main Program . 1 Best Abstracts . 20 Oral Communications Session 1. C001-C008 Acute Leukemia 1 . 23 Session 2. C009-C016 Chronic Lymphocytic Leukemia 1 . 28 Session 3. C017-C024 Multiple Myeloma 1 . 32 Session 4. C025-C032 Benign Hematology . 36 Session 5. C033-C040 Multiple Myeloma 2 . 42 Session 6. C041-C048 Acute Leukemia 2 . 45 Session 7. C049-C056 Molecular Hematology . 50 Session 8. C057-C064 Lymphomas. 54 Session 9. C065-C072 Chronic Lymphocytic Leukemia 2 . 57 Session 10. C073-C080 Myelodisplastic Syndromes and Acute Leukemia . 62 Session 11. C081-C088 Myeloproliferative Disorders and Chronic Myeloid Leukemia . 66 Session 12. C089-C096 Stem Cell Transplantation. 71 Posters Session 1. P001 Stem cells and growth factors . -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
How Is Alcohol Metabolized by the Body?
Overview: How Is Alcohol Metabolized by the Body? Samir Zakhari, Ph.D. Alcohol is eliminated from the body by various metabolic mechanisms. The primary enzymes involved are aldehyde dehydrogenase (ALDH), alcohol dehydrogenase (ADH), cytochrome P450 (CYP2E1), and catalase. Variations in the genes for these enzymes have been found to influence alcohol consumption, alcohol-related tissue damage, and alcohol dependence. The consequences of alcohol metabolism include oxygen deficits (i.e., hypoxia) in the liver; interaction between alcohol metabolism byproducts and other cell components, resulting in the formation of harmful compounds (i.e., adducts); formation of highly reactive oxygen-containing molecules (i.e., reactive oxygen species [ROS]) that can damage other cell components; changes in the ratio of NADH to NAD+ (i.e., the cell’s redox state); tissue damage; fetal damage; impairment of other metabolic processes; cancer; and medication interactions. Several issues related to alcohol metabolism require further research. KEY WORDS: Ethanol-to acetaldehyde metabolism; alcohol dehydrogenase (ADH); aldehyde dehydrogenase (ALDH); acetaldehyde; acetate; cytochrome P450 2E1 (CYP2E1); catalase; reactive oxygen species (ROS); blood alcohol concentration (BAC); liver; stomach; brain; fetal alcohol effects; genetics and heredity; ethnic group; hypoxia The alcohol elimination rate varies state of liver cells. Chronic alcohol con- he effects of alcohol (i.e., ethanol) widely (i.e., three-fold) among individ- sumption and alcohol metabolism are on various tissues depend on its uals and is influenced by factors such as strongly linked to several pathological concentration in the blood T chronic alcohol consumption, diet, age, consequences and tissue damage. (blood alcohol concentration [BAC]) smoking, and time of day (Bennion and Understanding the balance of alcohol’s over time. -
Epigenetic Services Citations
Active Motif Epigenetic Services Publications The papers below contain data generated by Active Motif’s Epigenetic Services team. To learn more about our services, please give us a call or visit us at www.activemotif.com/services. Technique Target Journal Year Reference Justin C. Boucher et al. CD28 Costimulatory Domain- ATAC-Seq, Cancer Immunol. Targeted Mutations Enhance Chimeric Antigen Receptor — 2021 RNA-Seq Res. T-cell Function. Cancer Immunol. Res. doi: 10.1158/2326- 6066.CIR-20-0253. Satvik Mareedu et al. Sarcolipin haploinsufficiency Am. J. Physiol. prevents dystrophic cardiomyopathy in mdx mice. RNA-Seq — Heart Circ. 2021 Am J Physiol Heart Circ Physiol. doi: 10.1152/ Physiol. ajpheart.00601.2020. Gabi Schutzius et al. BET bromodomain inhibitors regulate Nature Chemical ChIP-Seq BRD4 2021 keratinocyte plasticity. Nat. Chem. Biol. doi: 10.1038/ Biology s41589-020-00716-z. Siyun Wang et al. cMET promotes metastasis and ChIP-qPCR FOXO3 J. Cell Physiol. 2021 epithelial-mesenchymal transition in colorectal carcinoma by repressing RKIP. J. Cell Physiol. doi: 10.1002/jcp.30142. Sonia Iyer et al. Genetically Defined Syngeneic Mouse Models of Ovarian Cancer as Tools for the Discovery of ATAC-Seq — Cancer Discovery 2021 Combination Immunotherapy. Cancer Discov. doi: doi: 10.1158/2159-8290 Vinod Krishna et al. Integration of the Transcriptome and Genome-Wide Landscape of BRD2 and BRD4 Binding BRD2, BRD4, RNA Motifs Identifies Key Superenhancer Genes and Reveals ChIP-Seq J. Immunol. 2021 Pol II the Mechanism of Bet Inhibitor Action in Rheumatoid Arthritis Synovial Fibroblasts. J. Immunol. doi: doi: 10.4049/ jimmunol.2000286. Daniel Haag et al. -
Bioinformatic Protein Family Characterisation
Linköping studies in science and technology Dissertation No. 1343 Bioinformatic protein family characterisation Joel Hedlund Department of Physics, Chemistry and Biology Linköping, 2010 1 The front cover shows a tree diagram of the relations between proteins in the MDR superfamily (papers III–IV), excluding non-eukaryotic sequences as well as four fifths of the remainder for clarity. In total, 518 out of the 16667 known members are shown, and 1.5 cm in the dendrogram represents 10 % sequence differences. The bottom bar diagram shows conservation in these sequences using the CScore algorithm from the MSAView program (papers II and V), with infrequent insertions omitted for brevity. This example illustrates the size and complexity of the MDR superfamily, and it also serves as an illuminating example of the intricacies of the field of bioinformatics as a whole, where, after scaling down and removing layer after layer of complexity, there is still always ample size and complexity left to go around. The back cover shows a schematic view of the three-dimensional structure of human class III alcohol dehydrogenase, indicating the positions of the zinc ion and NAD cofactors, as well as the Rossmann fold cofactor binding domain (red) and the GroES-like folding core of the catalytic domain (green). This thesis was typeset using LYX. Inkscape was used for figure layout. During the course of research underlying this thesis, Joel Hedlund was enrolled in Forum Scientium, a multidisciplinary doctoral programme at Linköping University, Sweden. Copyright © 2010 Joel Hedlund, unless otherwise noted. All rights reserved. Joel Hedlund Bioinformatic protein family characterisation ISBN: 978-91-7393-297-4 ISSN: 0345-7524 Linköping studies in science and technology, dissertation No. -
Identification of Novel Genes in Human Airway Epithelial Cells Associated with Chronic Obstructive Pulmonary Disease (COPD) Usin
www.nature.com/scientificreports OPEN Identifcation of Novel Genes in Human Airway Epithelial Cells associated with Chronic Obstructive Received: 6 July 2018 Accepted: 7 October 2018 Pulmonary Disease (COPD) using Published: xx xx xxxx Machine-Based Learning Algorithms Shayan Mostafaei1, Anoshirvan Kazemnejad1, Sadegh Azimzadeh Jamalkandi2, Soroush Amirhashchi 3, Seamas C. Donnelly4,5, Michelle E. Armstrong4 & Mohammad Doroudian4 The aim of this project was to identify candidate novel therapeutic targets to facilitate the treatment of COPD using machine-based learning (ML) algorithms and penalized regression models. In this study, 59 healthy smokers, 53 healthy non-smokers and 21 COPD smokers (9 GOLD stage I and 12 GOLD stage II) were included (n = 133). 20,097 probes were generated from a small airway epithelium (SAE) microarray dataset obtained from these subjects previously. Subsequently, the association between gene expression levels and smoking and COPD, respectively, was assessed using: AdaBoost Classifcation Trees, Decision Tree, Gradient Boosting Machines, Naive Bayes, Neural Network, Random Forest, Support Vector Machine and adaptive LASSO, Elastic-Net, and Ridge logistic regression analyses. Using this methodology, we identifed 44 candidate genes, 27 of these genes had been previously been reported as important factors in the pathogenesis of COPD or regulation of lung function. Here, we also identifed 17 genes, which have not been previously identifed to be associated with the pathogenesis of COPD or the regulation of lung function. The most signifcantly regulated of these genes included: PRKAR2B, GAD1, LINC00930 and SLITRK6. These novel genes may provide the basis for the future development of novel therapeutics in COPD and its associated morbidities. -
Functional Annotation of Human Long Noncoding Rnas Using Chromatin
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.13.426305; this version posted January 14, 2021. 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. 1 Funconal annotaon of human long noncoding RNAs using chroman conformaon data Saumya Agrawal1, Tanvir Alam2, Masaru Koido1,3, Ivan V. Kulakovskiy4,5, Jessica Severin1, Imad ABugessaisa1, Andrey Buyan5,6, Josee Dos&e7, Masayoshi Itoh1,8, Naoto Kondo9, Yunjing Li10, Mickaël Mendez11, Jordan A. Ramilowski1,12, Ken Yagi1, Kayoko Yasuzawa1, CHi Wai Yip1, Yasushi Okazaki1, MicHael M. Ho9man11,13,14,15, Lisa Strug10, CHung CHau Hon1, CHikashi Terao1, Takeya Kasukawa1, Vsevolod J. Makeev4,16, Jay W. SHin1, Piero Carninci1, MicHiel JL de Hoon1 1RIKEN Center for Integra&ve Medical Sciences, YokoHama, Japan. 2College of Science and Engineering, Hamad Bin KHalifa University, DoHa, Qatar. 3Ins&tute of Medical Science, THe University of Tokyo, Tokyo, Japan. 4Vavilov Ins&tute of General Gene&cs, Russian Academy of Sciences, Moscow, Russia. 5Ins&tute of Protein ResearcH, Russian Academy of Sciences, PusHcHino, Russia. 6Faculty of Bioengineering and Bioinforma&cs, Lomonosov Moscow State University, Moscow, Russia. 7Department of BiocHemistry, Rosalind and Morris Goodman Cancer ResearcH Center, McGill University, Montréal, QuéBec, Canada. 8RIKEN Preven&ve Medicine and Diagnosis Innova&on Program, Wako, Japan. 9RIKEN Center for Life Science TecHnologies, YokoHama, Japan. 10Division of Biosta&s&cs, Dalla Lana ScHool of PuBlic HealtH, University of Toronto, Toronto, Ontario, Canada. 11Department of Computer Science, University of Toronto, Toronto, Ontario, Canada. 12Advanced Medical ResearcH Center, YokoHama City University, YokoHama, Japan. -
In Silco Study of MIR-124-1 Transcription Factors in Glioblastoma
Journal of Pharmaceutical Research International 33(12): 71-83, 2021; Article no.JPRI.65792 ISSN: 2456-9119 (Past name: British Journal of Pharmaceutical Research, Past ISSN: 2231-2919, NLM ID: 101631759) In Silco Study of MIR-124-1 Transcription Factors in Glioblastoma Khloud M. Algothmi1* 1Department of Biology, King Abdulaziz University, Jedda, Saudi Arabia. Author’s contribution The sole author designed, analysed, interpreted and prepared the manuscript. Article Information DOI: 10.9734/JPRI/2021/v33i1231257 Editor(s): (1) Dr. Arun Singh, Rohilkhand Medical College and Hospital, India. Reviewers: (1) Dewa Putu Wisnu Wardhana, Udayana University, Indonesia. (2) Xiaodong Li, The Third Affiliated Hospital of Soochow University, P. R. China. Complete Peer review History: http://www.sdiarticle4.com/review-history/65792 Received 20 December 2020 Original Research Article Accepted 23 February 2021 Published 17 March 2021 ABSTRACT MIR-124-1 is a brain-abundant MIRNA, whose expression is important for neuronal tissue division, growth and actions. However, expression of miR-124-1 regulatory mechanisms controlling its actions in neuronal cells in health and diseases still poorly addressed. To understand mechanism for transcriptional and functional regulation of miR-124 in neuronal and glioblastoma cells, this study combined gene expression profiling data and computational transcription factor and microRNA target predictions. The present research focuses on transcription factors and DNA methylation, which are central to miR-124-1 expression regulation. A core promoter sequence of miR-124-1 was predicted to be 500 bp and 100 bp, upstream and downstream of its transcription start sites. Seventy three binding sites of fifty transcription factors in promoter region were found, using MatInspector software.