Changes in the Gene Expression Profile During Spontaneous Migraine Attacks
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Study Protocol and Statistical Analysis Plan
(CCI) Committee on Clinical Investigations Page 1 of 21 Pain sensitization and habituation in a model of experimentally- induced insomnia symptoms NCT02484742 08/16/2017 Study Description – Part B CCI Form: 3-2013 PI Revision Date: 08/16/2017 (CCI) Committee on Clinical Investigations Page 2 of 21 PART B STUDY DESCRIPTION Pain sensitization and habituation in a model of experimentally- TITLE OF PROTOCOL induced insomnia symptoms Principal Investigator Monika Haack PhD Mailing Address Dana 779, 330 Brookline Ave E-Mail Address [email protected] P.I.’s Telephone 7-5234 P.I.’s Pager Fax: Sponsor/Funding Source NIH/NINDS B1. PURPOSE OF PROTOCOL Sleep is believed to have a protective effect on health, given findings that sleep deficiency, such as insomnia, results in suboptimal well-being8 and adverse health consequences25. At least 40% of individuals suffering from symptoms of insomnia (e.g., difficulty initiating sleep, disrupted sleep, or waking up too early) also suffer from co-morbid chronic pain28;39. Though it was traditionally believed that the experience of pain causes insomnia symptoms, recent evidence has demonstrated that insomnia itself is a strong predictor of pain both in general as well as in chronic pain populations12. Despite strong evidence for a sleep-to-pain directionality20, the mechanisms by which insomnia amplifies the experience of pain is not yet understood. The goal of this project is to understand pain amplification in response to insomnia from a mechanistic perspective. Given the high prevalence of chronic pain and coexisting insomnia, there is a critical need to invest in research designed to identify these mechanistic pathways. -
RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases
G C A T T A C G G C A T genes Review RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases Amber Willbanks, Shaun Wood and Jason X. Cheng * Department of Pathology, Hematopathology Section, University of Chicago, Chicago, IL 60637, USA; [email protected] (A.W.); [email protected] (S.W.) * Correspondence: [email protected] Abstract: Chromatin structure plays an essential role in eukaryotic gene expression and cell identity. Traditionally, DNA and histone modifications have been the focus of chromatin regulation; however, recent molecular and imaging studies have revealed an intimate connection between RNA epigenetics and chromatin structure. Accumulating evidence suggests that RNA serves as the interplay between chromatin and the transcription and splicing machineries within the cell. Additionally, epigenetic modifications of nascent RNAs fine-tune these interactions to regulate gene expression at the co- and post-transcriptional levels in normal cell development and human diseases. This review will provide an overview of recent advances in the emerging field of RNA epigenetics, specifically the role of RNA modifications and RNA modifying proteins in chromatin remodeling, transcription activation and RNA processing, as well as translational implications in human diseases. Keywords: 5’ cap (5’ cap); 7-methylguanosine (m7G); R-loops; N6-methyladenosine (m6A); RNA editing; A-to-I; C-to-U; 2’-O-methylation (Nm); 5-methylcytosine (m5C); NOL1/NOP2/sun domain Citation: Willbanks, A.; Wood, S.; (NSUN); MYC Cheng, J.X. RNA Epigenetics: Fine-Tuning Chromatin Plasticity and Transcriptional Regulation, and the Implications in Human Diseases. Genes 2021, 12, 627. -
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. -
Prevalence and Significance of Nonsense-‐Mediated Mrna Decay
Prevalence and Significance of Nonsense-Mediated mRNA Decay Coupled with Alternative Splicing in Diverse Eukaryotic Organisms By Courtney Elizabeth French A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Molecular and Cell Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Steven E. Brenner, Co-Chair Professor Donald C. Rio, Co-Chair Professor Britt A. Glaunsinger Professor Sandrine Dudoit Spring 2016 Prevalence and Significance of Nonsense-Mediated mRNA Decay Coupled with Alternative Splicing in Diverse Eukaryotic Organisms Copyright 2016 by Courtney Elizabeth French Abstract Prevalence and Significance of Nonsense-Mediated mRNA Decay Coupled with Alternative Splicing in Diverse Eukaryotic Organisms by Courtney Elizabeth French Doctor of Philosophy in Molecular and Cell Biology University of California, Berkeley Professor Steven E. Brenner, Co-Chair Professor Donald C. Rio, Co-Chair Alternative splicing plays a crucial role in increasing the amount of protein diversity and in regulating gene expression at the post-transcriptional level. In humans, almost all genes produce more than one mRNA isoform and, while the fraction varies, many other species also have a substantial number of alternatively spliced genes. Alternative splicing is regulated by splicing factors, often in a developmental time- or tissue-specific manner. Mis- regulation of alternative splicing, via mutations in splice sites, splicing regulatory elements, or splicing factors, can lead to disease states, including cancers. Thus, characterizing how alternative splicing shapes the transcriptome will lead to greater insights into the regulation of numerous cellular pathways and many aspects of human health. A critical tool for investigating alternative splicing is high-throughput mRNA sequencing (RNA-seq). -
Cells Expression and Function of CD300 in NK
Expression and Function of CD300 in NK Cells Dikla Lankry, Hrvoje Simic, Yair Klieger, Francesca Levi-Schaffer, Stipan Jonjic and Ofer Mandelboim This information is current as of September 26, 2021. J Immunol 2010; 185:2877-2886; Prepublished online 23 July 2010; doi: 10.4049/jimmunol.0903347 http://www.jimmunol.org/content/185/5/2877 Downloaded from Supplementary http://www.jimmunol.org/content/suppl/2010/07/23/jimmunol.090334 Material 7.DC1 References This article cites 44 articles, 13 of which you can access for free at: http://www.jimmunol.org/ http://www.jimmunol.org/content/185/5/2877.full#ref-list-1 Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 26, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2010 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology Expression and Function of CD300 in NK Cells Dikla Lankry,* Hrvoje Simic,† Yair Klieger,* Francesca Levi-Schaffer,‡ Stipan Jonjic,† and Ofer Mandelboim* The killing activity of NK cells is regulated by signals derived from inhibitory and activating NK cell receptors, including the CD300 family of proteins. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Gene Expression Profiling of Corpus Luteum Reveals the Importance Of
bioRxiv preprint doi: https://doi.org/10.1101/673558; this version posted February 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Gene expression profiling of corpus luteum reveals the 2 importance of immune system during early pregnancy in 3 domestic sheep. 4 Kisun Pokharel1, Jaana Peippo2 Melak Weldenegodguad1, Mervi Honkatukia2, Meng-Hua Li3*, Juha 5 Kantanen1* 6 1 Natural Resources Institute Finland (Luke), Jokioinen, Finland 7 2 Nordgen – The Nordic Genetic Resources Center, Ås, Norway 8 3 College of Animal Science and Technology, China Agriculture University, Beijing, China 9 * Correspondence: MHL, [email protected]; JK, [email protected] 10 Abstract: The majority of pregnancy loss in ruminants occurs during the preimplantation stage, which is thus 11 the most critical period determining reproductive success. While ovulation rate is the major determinant of 12 litter size in sheep, interactions among the conceptus, corpus luteum and endometrium are essential for 13 pregnancy success. Here, we performed a comparative transcriptome study by sequencing total mRNA from 14 corpus luteum (CL) collected during the preimplantation stage of pregnancy in Finnsheep, Texel and F1 15 crosses, and mapping the RNA-Seq reads to the latest Rambouillet reference genome. A total of 21,287 genes 16 were expressed in our dataset. Highly expressed autosomal genes in the CL were associated with biological 17 processes such as progesterone formation (STAR, CYP11A1, and HSD3B1) and embryo implantation (eg. -
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. -
Opioid-Induced Hyperalgesia (OIH)
Opioid-Induced Hyperalgesia (OIH) Brian Johnson M.D. Assoc Prof Psychiatry and Anesthesia SUNY Upstate Medical University Disclosures • Research on shifts in the hypothalamic- pituitary-adrenal system and depression during and after alcohol withdrawal sponsored by the Distilled Spirits Council of the United States (Johnson 1986) Learning Objectives 1. Get the “big picture” about why opioid prescribing has accelerated recently, setting the environment for OIH to be commonplace 2. Know the definition of OIH 3. Know the neural mechanisms of OIH 4. Know the effect of methadone or buprenorphine maintenance on OIH Learning Objectives 2 5. Know how long it takes to induce OIH 6. Know what to do about OIH; with addicted patients and non-addicted patients 7. Understand the surgical pain management of a patient with OIH 1. The Big Picture • Practitioners often remark that use of opioids has become ubiquitous. The following slides show how common opioid prescribing has become, what the impetus was behind the shift in medical practice, and what are some of the unimagined consequences of a social movement that was not evidence-based. The existence of OIH has been recognized only after the impact of the right to pain treatment movement had its effect. Opioid Use Has Exploded! • 2009 USA, 5% of world’s population • 56% of global morphine • 81% of global oxycodone • 99% of global hydrocodone (Huxtable 2011) Opioid-Associated Deaths - USA • Year 1998 2005 • Oxycodone 14 1007 • Morphine 82 329 • Fentanyl 92 1245 • Methadone 8 329 (Huxtable 2011) “Pain Management: A Fundamental Human Right” “Reasons for deficiencies in pain management included cultural, societal, religious and political attitudes, including acceptance of torture. -
NIH Public Access Provided by CDC Stacks Author Manuscript Mol Genet Metab
View metadata, citation and similar papers at core.ac.uk brought to you by CORE NIH Public Access provided by CDC Stacks Author Manuscript Mol Genet Metab. Author manuscript; available in PMC 2013 November 01. Published in final edited form as: Mol Genet Metab. 2012 November ; 107(3): 596–604. doi:10.1016/j.ymgme.2012.09.022. Associations between maternal genotypes and metabolites implicated in congenital heart defects $watermark-text $watermark-text $watermark-text Shimul Chowdhury1,2, Charlotte A. Hobbs1, Stewart L. MacLeod1, Mario A. Cleves1, Stepan Melnyk1, S. Jill James1, Ping Hu1, and Stephen W. Erickson1,3 1Department of Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Arkansas Children’s Hospital Research Institute, 13 Children’s Way, Slot 512, Little Rock, AR 72202, USA 2Clinical Molecular Genetics Department, Providence Sacred Heart Medical Center, 101 W. Eighth Avenue, Spokane, WA 99204, USA 3Department of Biostatistics, College of Medicine, University of Arkansas for Medical Sciences, Arkansas Children’s Hospital Research Institute, 4301 W. Markham Street, Slot 781, Little Rock, AR 72205, USA Abstract Background—The development of non-syndromic congenital heart defects (CHDs) involves a complex interplay of genetics, metabolism, and lifestyle. Previous studies have implicated maternal single nucleotide polymorphisms (SNPs) and altered metabolism in folate-related pathways as CHD risk factors. Objective—We sought to discover associations between maternal SNPs and metabolites involved in the homocysteine, folate, and transsulfuration pathways, and determine if these associations differ between CHD cases and controls. Design—Genetic, metabolic, demographic, and lifestyle information was available for 335 mothers with CHD-affected pregnancies and 263 mothers with unaffected pregnancies. -
A Systems Genomics Approach to Uncover Patient-Specific Pathogenic Pathways and Proteins in a Complex Disease
bioRxiv preprint doi: https://doi.org/10.1101/692269; this version posted July 4, 2019. 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. A systems genomics approach to uncover patient-specific pathogenic pathways and proteins in a complex disease 1,2,3,4,§ 5,§ 1,4,6,§ 4,7 Johanne Brooks , Dezso Modos , Padhmanand Sudhakar , David Fazekas , Azedine 5 8 4 1,4 6,9 Zoufir , Orsolya Kapuy , Mate Szalay-Beko , Matthew Madgwick , Bram Verstockt , Lindsay 1,2 1,2,3 3 10 6,9 Hall Alastair Watson , Mark Tremelling , Miles Parkes , Severine Vermeire , Andreas 5 1,2,* 1,4,* Bender , Simon R. Carding , Tamas Korcsmaros 1 Gut Health and Microbes Programme, The Quadram Institute Bioscience, Norwich Research Park, Norwich, UK 2 Norwich Medical School, University of East Anglia, Norwich, UK 3 Department of Gastroenterology, Norfolk and Norwich University Hospitals, Norwich, UK 4 Earlham Institute, Norwich Research Park, Norwich, UK 5 Centre for Molecular Science Informatics, Department of Chemistry, University of Cambridge, Cambridge, UK 6 KU Leuven, Department of Chronic diseases, Metabolism and Ageing, Leuven, Belgium 7 Department of Genetics, Eötvös Loránd University, Budapest, Hungary 8 Department of Medical Chemistry, Molecular Biology and Pathobiochemistry, Semmelweis University, Budapest, Hungary 9 University Hospitals Leuven, Department of Gastroenterology and Hepatology, KU Leuven, Leuven, Belgium 10 Inflammatory Bowel Disease Research Group, Addenbrooke's Hospital, University of Cambridge, Cambridge, UK. § equal contribution * joint corresponding authors bioRxiv preprint doi: https://doi.org/10.1101/692269; this version posted July 4, 2019.