Dosage Compensation and Gene Expression of the X Chromosome in Sheep
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HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptNat Genet Author Manuscript. Author manuscript; Author Manuscript available in PMC 2013 June 01. Published in final edited form as: Nat Genet. 2012 December ; 44(12): 1349–1354. doi:10.1038/ng.2466. Common genetic variants in the CLDN2 and PRSS1-PRSS2 loci alter risk for alcohol-related and sporadic pancreatitis A full list of authors and affiliations appears at the end of the article. Abstract Pancreatitis is a complex, progressively destructive inflammatory disorder. Alcohol was long thought to be the primary causative agent, but genetic contributions have been of interest since the discovery that rare PRSS1, CFTR, and SPINK1 variants were associated with pancreatitis risk. We now report two significant genome-wide associations identified and replicated at PRSS1-PRSS2 (1×10-12) and x-linked CLDN2 (p < 1×10-21) through a two-stage genome-wide study (Stage 1, 676 cases and 4507 controls; Stage 2, 910 cases and 4170 controls). The PRSS1 variant affects susceptibility by altering expression of the primary trypsinogen gene. The CLDN2 risk allele is associated with atypical localization of claudin-2 in pancreatic acinar cells. The homozygous (or hemizygous male) CLDN2 genotype confers the greatest risk, and its alleles interact with alcohol consumption to amplify risk. These results could partially explain the high frequency of alcohol- related pancreatitis in men – male hemizygous frequency is 0.26, female homozygote is 0.07. The exocrine pancreas is a simple digestive gland of only two primary cell types, each with a single function (Supplementary Figure 1). Recurrent acute pancreatic inflammation can, but does not always, progress to irreversible damage of the gland, including fibrosis, atrophy, pain, and exocrine and endocrine insufficiency,1-3 known as chronic pancreatitis Different genetic and environmental factors produce the same clinical phenotype4. -
1 Gene Activation Precedes DNA Demethylation in Response to Infection in Human Dendritic Cells
bioRxiv preprint doi: https://doi.org/10.1101/358531; this version posted June 29, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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 activation precedes DNA demethylation in response to infection in human dendritic cells 2 3 Alain Pacis1,2‡, Florence Mailhot-Léonard1,2‡, Ludovic Tailleux3,4, Haley E Randolph1,2, Vania Yotova1, 4 Anne Dumaine1, Jean-Christophe Grenier1, Luis B Barreiro1,5,6*, 5 6 1CHU Sainte-Justine Research Center, Department of Genetics, Montreal, H3T1C5, Canada; 2University 7 of Montreal, Department of Biochemistry, Montreal, H3T1J4, Canada; 3Institut Pasteur, Mycobacterial 8 Genetics Unit, Paris, 75015, France; 4Institut Pasteur, Unit for Integrated Mycobacterial Pathogenomics, 9 CNRS UMR 3525, Paris, 75015, France; 5University of Montreal, Department of Pediatrics, Montreal, 10 H3T1J4, Canada; 6University of Chicago, Department of Medicine, Genetics Section, Chicago, Illinois, 11 USA. 12 13 14 ‡ These authors equally contributed to this study. 15 *Correspondence to: [email protected] 16 Running title: Epigenetic changes in response to infection 17 Keywords: DNA Methylation, Infection, Enhancers, Gene regulation 18 1 bioRxiv preprint doi: https://doi.org/10.1101/358531; this version posted June 29, 2018. 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. -
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. -
The Role of Chromosome X in Intraocular Pressure Variation and Sex-Specific Effects
Genetics The Role of Chromosome X in Intraocular Pressure Variation and Sex-Specific Effects Mark J. Simcoe,1–3 Anthony P. Khawaja,4,5 Omar A. Mahroo,3 Christopher J. Hammond,1,2 and Pirro G. Hysi1,2; for the UK Biobank Eye and Vision Consortium 1Department of Ophthalmology, Kings College London, London, United Kingdom 2KCL Department of Twin Research and Genetic Epidemiology, London, United Kingdom 3Institute of Ophthalmology, University College London, London, United Kingdom 4NIHR Biomedical Research Centre, Moorfield’s Eye Hospital NHS Foundation Trust and UCL Institute of Ophthalmology, London, United Kingdom 5Department of Public Health and Primary Care, Institute of Public Health, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom Correspondence: Pirro G. Hysi, PURPOSE. The purpose of this study was to identify genetic variants on chromosome Department of Ophthalmology, X associated with intraocular pressure (IOP) and determine if they possess any sex- Kings College London, St. Thomas specific effects. Hospital, Westminster Bridge Road, London, SE1 7EH UK; METHODS. Association analyses were performed across chromosome X using 102,407 [email protected]. participants from the UK Biobank. Replication and validation analyses were conducted in an additional 6599 participants from the EPIC-Norfolk cohort, and an independent Members of the UK Biobank Eye and Vision Consortium are listed in 331,682 participants from the UK Biobank. the Supplementary Material. RESULTS. We identified three loci associated with IOP at genomewide significance (P < 5 × 10−8), located within or near the following genes: MXRA5 (rs2107482, Received: June 19, 2020 − − Accepted: August 19, 2020 P = 7.1 × 10 11), GPM6B (rs66819623, P = 6.9 × 10 10), NDP,andEFHC2 (rs12558081, − Published: September 14, 2020 P = 4.9 × 10 11). -
Ageing-Associated Changes in DNA Methylation in X and Y Chromosomes
Kananen and Marttila Epigenetics & Chromatin (2021) 14:33 Epigenetics & Chromatin https://doi.org/10.1186/s13072-021-00407-6 RESEARCH Open Access Ageing-associated changes in DNA methylation in X and Y chromosomes Laura Kananen1,2,3,4* and Saara Marttila4,5* Abstract Background: Ageing displays clear sexual dimorphism, evident in both morbidity and mortality. Ageing is also asso- ciated with changes in DNA methylation, but very little focus has been on the sex chromosomes, potential biological contributors to the observed sexual dimorphism. Here, we sought to identify DNA methylation changes associated with ageing in the Y and X chromosomes, by utilizing datasets available in data repositories, comprising in total of 1240 males and 1191 females, aged 14–92 years. Results: In total, we identifed 46 age-associated CpG sites in the male Y, 1327 age-associated CpG sites in the male X, and 325 age-associated CpG sites in the female X. The X chromosomal age-associated CpGs showed signifcant overlap between females and males, with 122 CpGs identifed as age-associated in both sexes. Age-associated X chro- mosomal CpGs in both sexes were enriched in CpG islands and depleted from gene bodies and showed no strong trend towards hypermethylation nor hypomethylation. In contrast, the Y chromosomal age-associated CpGs were enriched in gene bodies, and showed a clear trend towards hypermethylation with age. Conclusions: Signifcant overlap in X chromosomal age-associated CpGs identifed in males and females and their shared features suggest that despite the uneven chromosomal dosage, diferences in ageing-associated DNA methylation changes in the X chromosome are unlikely to be a major contributor of sex dimorphism in ageing. -
Age-Associated DNA Methylation Changes in Immune Genes, Histone Modifiers and Chromatin Remodeling Factors Within 5 Years After Birth in Human Blood Leukocytes
Age-associated DNA methylation changes in immune genes, histone modifiers and chromatin remodeling factors within 5 years after birth in human blood leukocytes Acevedo, Nathalie; Reinius, Lovisa E; Vitezic, Morana; Fortino, Vittorio; Söderhäll, Cilla; Honkanen, Hanna; Veijola, Riitta; Simell, Olli; Toppari, Jorma; Ilonen, Jorma; Knip, Mikael; Scheynius, Annika; Hyöty, Heikki; Greco, Dario; Kere, Juha Published in: Clinical Epigenetics DOI: 10.1186/s13148-015-0064-6 Publication date: 2015 Document version Publisher's PDF, also known as Version of record Citation for published version (APA): Acevedo, N., Reinius, L. E., Vitezic, M., Fortino, V., Söderhäll, C., Honkanen, H., Veijola, R., Simell, O., Toppari, J., Ilonen, J., Knip, M., Scheynius, A., Hyöty, H., Greco, D., & Kere, J. (2015). Age-associated DNA methylation changes in immune genes, histone modifiers and chromatin remodeling factors within 5 years after birth in human blood leukocytes. Clinical Epigenetics, 7, [34]. https://doi.org/10.1186/s13148-015-0064-6 Download date: 30. Sep. 2021 Acevedo et al. Clinical Epigenetics (2015) 7:34 DOI 10.1186/s13148-015-0064-6 RESEARCH Open Access Age-associated DNA methylation changes in immune genes, histone modifiers and chromatin remodeling factors within 5 years after birth in human blood leukocytes Nathalie Acevedo1,2, Lovisa E Reinius2, Morana Vitezic3, Vittorio Fortino4, Cilla Söderhäll2, Hanna Honkanen5, Riitta Veijola6, Olli Simell7, Jorma Toppari8, Jorma Ilonen9, Mikael Knip10,11,13, Annika Scheynius1, Heikki Hyöty5,12, Dario Greco4 and Juha Kere2,13* Abstract Background: Age-related changes in DNA methylation occurring in blood leukocytes during early childhood may reflect epigenetic maturation. We hypothesized that some of these changes involve gene networks of critical relevance in leukocyte biology and conducted a prospective study to elucidate the dynamics of DNA methylation. -
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, -
Prognostic Significance of Autophagy-Relevant Gene Markers in Colorectal Cancer
ORIGINAL RESEARCH published: 15 April 2021 doi: 10.3389/fonc.2021.566539 Prognostic Significance of Autophagy-Relevant Gene Markers in Colorectal Cancer Qinglian He 1, Ziqi Li 1, Jinbao Yin 1, Yuling Li 2, Yuting Yin 1, Xue Lei 1 and Wei Zhu 1* 1 Department of Pathology, Guangdong Medical University, Dongguan, China, 2 Department of Pathology, Dongguan People’s Hospital, Southern Medical University, Dongguan, China Background: Colorectal cancer (CRC) is a common malignant solid tumor with an extremely low survival rate after relapse. Previous investigations have shown that autophagy possesses a crucial function in tumors. However, there is no consensus on the value of autophagy-associated genes in predicting the prognosis of CRC patients. Edited by: This work screens autophagy-related markers and signaling pathways that may Fenglin Liu, Fudan University, China participate in the development of CRC, and establishes a prognostic model of CRC Reviewed by: based on autophagy-associated genes. Brian M. Olson, Emory University, United States Methods: Gene transcripts from the TCGA database and autophagy-associated gene Zhengzhi Zou, data from the GeneCards database were used to obtain expression levels of autophagy- South China Normal University, China associated genes, followed by Wilcox tests to screen for autophagy-related differentially Faqing Tian, Longgang District People's expressed genes. Then, 11 key autophagy-associated genes were identified through Hospital of Shenzhen, China univariate and multivariate Cox proportional hazard regression analysis and used to Yibing Chen, Zhengzhou University, China establish prognostic models. Additionally, immunohistochemical and CRC cell line data Jian Tu, were used to evaluate the results of our three autophagy-associated genes EPHB2, University of South China, China NOL3, and SNAI1 in TCGA. -
Transcriptomic and Proteomic Profiling Provides Insight Into
BASIC RESEARCH www.jasn.org Transcriptomic and Proteomic Profiling Provides Insight into Mesangial Cell Function in IgA Nephropathy † † ‡ Peidi Liu,* Emelie Lassén,* Viji Nair, Celine C. Berthier, Miyuki Suguro, Carina Sihlbom,§ † | † Matthias Kretzler, Christer Betsholtz, ¶ Börje Haraldsson,* Wenjun Ju, Kerstin Ebefors,* and Jenny Nyström* *Department of Physiology, Institute of Neuroscience and Physiology, §Proteomics Core Facility at University of Gothenburg, University of Gothenburg, Gothenburg, Sweden; †Division of Nephrology, Department of Internal Medicine and Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan; ‡Division of Molecular Medicine, Aichi Cancer Center Research Institute, Nagoya, Japan; |Department of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden; and ¶Integrated Cardio Metabolic Centre, Karolinska Institutet Novum, Huddinge, Sweden ABSTRACT IgA nephropathy (IgAN), the most common GN worldwide, is characterized by circulating galactose-deficient IgA (gd-IgA) that forms immune complexes. The immune complexes are deposited in the glomerular mesangium, leading to inflammation and loss of renal function, but the complete pathophysiology of the disease is not understood. Using an integrated global transcriptomic and proteomic profiling approach, we investigated the role of the mesangium in the onset and progression of IgAN. Global gene expression was investigated by microarray analysis of the glomerular compartment of renal biopsy specimens from patients with IgAN (n=19) and controls (n=22). Using curated glomerular cell type–specific genes from the published literature, we found differential expression of a much higher percentage of mesangial cell–positive standard genes than podocyte-positive standard genes in IgAN. Principal coordinate analysis of expression data revealed clear separation of patient and control samples on the basis of mesangial but not podocyte cell–positive standard genes. -
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. -
A Strategic Research Alliance: Turner Syndrome and Sex Differences
A strategic research alliance: Turner syndrome and sex differences The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Roman, Adrianna K. San and David C. Page. “A strategic research alliance: Turner syndrome and sex differences.” American journal of medical genetics. Part C, Seminars in medical genetics 181 (2019): 59-67 © 2019 The Author(s) As Published 10.1002/AJMG.C.31677 Publisher Wiley Version Author's final manuscript Citable link https://hdl.handle.net/1721.1/125103 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ HHS Public Access Author manuscript Author ManuscriptAuthor Manuscript Author Am J Med Manuscript Author Genet C Semin Manuscript Author Med Genet. Author manuscript; available in PMC 2019 March 12. Published in final edited form as: Am J Med Genet C Semin Med Genet. 2019 March ; 181(1): 59–67. doi:10.1002/ajmg.c.31677. A strategic research alliance: Turner syndrome and sex differences Adrianna K. San Roman1 and David C. Page1,2,3 1Whitehead Institute, Cambridge, MA 02142, USA 2Howard Hughes Medical Institute, Whitehead Institute, Cambridge, MA 02142 3Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139 Abstract Sex chromosome constitution varies in the human population, both between the sexes (46,XX females and 46,XY males), and within the sexes (for example, 45,X and 46,XX females, and 47,XXY and 46,XY males). Coincident with this genetic variation are numerous phenotypic differences between males and females, and individuals with sex chromosome aneuploidy. -
Regulation of Claudin-3 Expression in Kidney Tubular Epithelial Cells
Regulation of Claudin-3 Expression in Kidney Tubular Epithelial Cells by Shaista Anwer A thesis submitted in conformity with the requirements for the degree of Master of Science Institute of Medical Science University of Toronto © Copyright by Shaista Anwer 2020 Regulation of Claudin-3 Expression in Kidney Tubular Epithelial Cells Shaista Anwer Master of Science Institute of Medical Science University of Toronto 2020 Abstract The overall objective of my studies was to gain insight into the regulation of the tight junction protein, claudin-3, upon inflammatory stimuli in kidney tubular epithelial cells. Claudins mediate paracellular transport and modulate key cellular events like proliferation, migration and differentiation. The inflammatory cytokine Tumor Necrosis Factor-α (TNFα) is a pathogenic factor in kidney disease and alters epithelial permeability. However, the effect of TNFα on claudin-3 expression in the tubules and the mechanisms are not defined. My studies showed that TNFα elevated claudin-3 expression in kidney tubular cells. This effect was due to increased claudin-3 synthesis and mediated by two signaling pathways: extracellular signal regulated kinase- dependent activation of NFκB and protein kinase A-induced CREB1 activation. Claudin-3 overexpression elevated transepithelial resistance in tubular cells and it may play a role in regulating tubular epithelial permeability. Claudin-3 downregulation also affected cell cycle proteins; thus, claudin-3 may also affect cell proliferation. ii Acknowledgements I would like to dedicate this thesis to two important people in my life: my mother, Tahniyat Anwer and my supervisor, Dr. Katalin Szászi. My mom has been a great source of inspiration and a pillar of strength in my life and has always supported me in my endeavours.