DNA Methylation of Developmental Genes in Pediatric Medulloblastomas Identified by Denaturation Analysis of Methylation Differences
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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. -
A Transcriptional Signature of Postmitotic Maintenance in Neural Tissues
Neurobiology of Aging 74 (2019) 147e160 Contents lists available at ScienceDirect Neurobiology of Aging journal homepage: www.elsevier.com/locate/neuaging Postmitotic cell longevityeassociated genes: a transcriptional signature of postmitotic maintenance in neural tissues Atahualpa Castillo-Morales a,b, Jimena Monzón-Sandoval a,b, Araxi O. Urrutia b,c,*, Humberto Gutiérrez a,** a School of Life Sciences, University of Lincoln, Lincoln, UK b Milner Centre for Evolution, Department of Biology and Biochemistry, University of Bath, Bath, UK c Instituto de Ecología, Universidad Nacional Autónoma de México, Ciudad de México, Mexico article info abstract Article history: Different cell types have different postmitotic maintenance requirements. Nerve cells, however, are Received 11 April 2018 unique in this respect as they need to survive and preserve their functional complexity for the entire Received in revised form 3 October 2018 lifetime of the organism, and failure at any level of their supporting mechanisms leads to a wide range of Accepted 11 October 2018 neurodegenerative conditions. Whether these differences across tissues arise from the activation of Available online 19 October 2018 distinct cell typeespecific maintenance mechanisms or the differential activation of a common molecular repertoire is not known. To identify the transcriptional signature of postmitotic cellular longevity (PMCL), Keywords: we compared whole-genome transcriptome data from human tissues ranging in longevity from 120 days Neural maintenance Cell longevity to over 70 years and found a set of 81 genes whose expression levels are closely associated with Transcriptional signature increased cell longevity. Using expression data from 10 independent sources, we found that these genes Functional genomics are more highly coexpressed in longer-living tissues and are enriched in specific biological processes and transcription factor targets compared with randomly selected gene samples. -
The Human Gene Connectome As a Map of Short Cuts for Morbid Allele Discovery
The human gene connectome as a map of short cuts for morbid allele discovery Yuval Itana,1, Shen-Ying Zhanga,b, Guillaume Vogta,b, Avinash Abhyankara, Melina Hermana, Patrick Nitschkec, Dror Friedd, Lluis Quintana-Murcie, Laurent Abela,b, and Jean-Laurent Casanovaa,b,f aSt. Giles Laboratory of Human Genetics of Infectious Diseases, Rockefeller Branch, The Rockefeller University, New York, NY 10065; bLaboratory of Human Genetics of Infectious Diseases, Necker Branch, Paris Descartes University, Institut National de la Santé et de la Recherche Médicale U980, Necker Medical School, 75015 Paris, France; cPlateforme Bioinformatique, Université Paris Descartes, 75116 Paris, France; dDepartment of Computer Science, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel; eUnit of Human Evolutionary Genetics, Centre National de la Recherche Scientifique, Unité de Recherche Associée 3012, Institut Pasteur, F-75015 Paris, France; and fPediatric Immunology-Hematology Unit, Necker Hospital for Sick Children, 75015 Paris, France Edited* by Bruce Beutler, University of Texas Southwestern Medical Center, Dallas, TX, and approved February 15, 2013 (received for review October 19, 2012) High-throughput genomic data reveal thousands of gene variants to detect a single mutated gene, with the other polymorphic genes per patient, and it is often difficult to determine which of these being of less interest. This goes some way to explaining why, variants underlies disease in a given individual. However, at the despite the abundance of NGS data, the discovery of disease- population level, there may be some degree of phenotypic homo- causing alleles from such data remains somewhat limited. geneity, with alterations of specific physiological pathways under- We developed the human gene connectome (HGC) to over- come this problem. -
DNA Methylation of Developmental Genes in Pediatric Medulloblastomas Identified by Denaturation Analysis of Methylation Differences
DNA methylation of developmental genes in pediatric medulloblastomas identified by denaturation analysis of methylation differences Scott J. Diedea,b, Jamie Guenthoerc, Linda N. Gengc, Sarah E. Mahoneyc, Michael Marottad,e, James M. Olsona,b, Hisashi Tanakad,e, and Stephen J. Tapscotta,c,1 Divisions of aClinical Research and cHuman Biology, Fred Hutchinson Cancer Research Center, Seattle, WA 98109; bDepartment of Pediatrics, University of Washington School of Medicine, Seattle, WA 98195; dDepartment of Molecular Genetics, Cleveland Clinic, Cleveland, OH 44195; and eLerner Research Institute, Cleveland Clinic, Cleveland, OH 44195 Edited by Mark T. Groudine, Fred Hutchinson Cancer Research Center, Seattle, WA, and approved November 6, 2009 (received for review July 8, 2009) DNA methylation might have a significant role in preventing normal Results differentiation in pediatric cancers. We used a genomewide method An Assay to Detect Palindrome Formation Enriches for CpG Methylation. for detecting regions of CpG methylation on the basis of the in- Earlier work from our laboratory focused on identifying regions of creased melting temperature of methylated DNA, termed denatu- the genome susceptible to DNA palindrome formation, a rate- ration analysis of methylation differences (DAMD). Using the DAMD limiting step in gene amplification. We previously described a fi fi assay, we nd common regions of cancer-speci c methylation method to obtain a genomewide analysis of palindrome formation changes in primary medulloblastomas in critical developmental reg- (GAPF) on the basis of the efficient intrastrand base pairing in ulatory pathways, including Sonic hedgehog (Shh), Wingless (Wnt), large palindromic sequences (3). Palindromic sequences can rap- retinoic acid receptor (RAR), and bone morphogenetic protein idly anneal intramolecularly to form “snap-back” DNA under (BMP). -
Comparative Analysis of the Ubiquitin-Proteasome System in Homo Sapiens and Saccharomyces Cerevisiae
Comparative Analysis of the Ubiquitin-proteasome system in Homo sapiens and Saccharomyces cerevisiae Inaugural-Dissertation zur Erlangung des Doktorgrades der Mathematisch-Naturwissenschaftlichen Fakultät der Universität zu Köln vorgelegt von Hartmut Scheel aus Rheinbach Köln, 2005 Berichterstatter: Prof. Dr. R. Jürgen Dohmen Prof. Dr. Thomas Langer Dr. Kay Hofmann Tag der mündlichen Prüfung: 18.07.2005 Zusammenfassung I Zusammenfassung Das Ubiquitin-Proteasom System (UPS) stellt den wichtigsten Abbauweg für intrazelluläre Proteine in eukaryotischen Zellen dar. Das abzubauende Protein wird zunächst über eine Enzym-Kaskade mit einer kovalent gebundenen Ubiquitinkette markiert. Anschließend wird das konjugierte Substrat vom Proteasom erkannt und proteolytisch gespalten. Ubiquitin besitzt eine Reihe von Homologen, die ebenfalls posttranslational an Proteine gekoppelt werden können, wie z.B. SUMO und NEDD8. Die hierbei verwendeten Aktivierungs- und Konjugations-Kaskaden sind vollständig analog zu der des Ubiquitin- Systems. Es ist charakteristisch für das UPS, daß sich die Vielzahl der daran beteiligten Proteine aus nur wenigen Proteinfamilien rekrutiert, die durch gemeinsame, funktionale Homologiedomänen gekennzeichnet sind. Einige dieser funktionalen Domänen sind auch in den Modifikations-Systemen der Ubiquitin-Homologen zu finden, jedoch verfügen diese Systeme zusätzlich über spezifische Domänentypen. Homologiedomänen lassen sich als mathematische Modelle in Form von Domänen- deskriptoren (Profile) beschreiben. Diese Deskriptoren können wiederum dazu verwendet werden, mit Hilfe geeigneter Verfahren eine gegebene Proteinsequenz auf das Vorliegen von entsprechenden Homologiedomänen zu untersuchen. Da die im UPS involvierten Homologie- domänen fast ausschließlich auf dieses System und seine Analoga beschränkt sind, können domänen-spezifische Profile zur Katalogisierung der UPS-relevanten Proteine einer Spezies verwendet werden. Auf dieser Basis können dann die entsprechenden UPS-Repertoires verschiedener Spezies miteinander verglichen werden. -
Setd1 Histone 3 Lysine 4 Methyltransferase Complex Components in Epigenetic Regulation
SETD1 HISTONE 3 LYSINE 4 METHYLTRANSFERASE COMPLEX COMPONENTS IN EPIGENETIC REGULATION Patricia A. Pick-Franke Submitted to the faculty of the University Graduate School in partial fulfillment of the requirements for the degree Master of Science in the Department of Biochemistry and Molecular Biology Indiana University December 2010 Accepted by the Faculty of Indiana University, in partial fulfillment of the requirements for the degree of Master of Science. _____________________________________ David Skalnik, Ph.D., Chair _____________________________________ Kristin Chun, Ph.D. Master’s Thesis Committee _____________________________________ Simon Rhodes, Ph.D. ii DEDICATION This thesis is dedicated to my sons, Zachary and Zephaniah who give me great joy, hope and continuous inspiration. I can only hope that I successfully set a good example demonstrating that one can truly accomplish anything, if you never give up and reach for your dreams. iii ACKNOWLEDGEMENTS I would like to thank my committee members Dr. Skalnik, Dr. Chun and Dr. Rhodes for allowing me to complete this dissertation. They have been incredibly generous with their flexibility. I must make a special thank you to Jeanette McClintock, who willingly gave her expertise in statistical analysis with the Cfp1 microarray data along with encouragement, support and guidance to complete this work. I would like to thank Courtney Tate for her ceaseless willingness to share ideas, and her methods and materials, and Erika Dolbrota for her generous instruction as well as the name of a good doctor. I would also like to acknowledge the superb mentorship of Dr. Jeon Heong Lee, PhD and the contagious passion and excitement for the life of science of Dr. -
Cholesterol 25-Hydroxylase on Chromosome 10Q Is a Susceptibility Gene for Sporadic Alzheimer’S Disease
Zurich Open Repository and Archive University of Zurich Main Library Strickhofstrasse 39 CH-8057 Zurich www.zora.uzh.ch Year: 2005 Cholesterol 25-hydroxylase on chromosome 10q is a susceptibility gene for sporadic Alzheimer’s disease Papassotiropoulos, A ; Lambert, J C ; Wavrant-De Vrièze, F ; Wollmer, M A ; von der Kammer, H ; Streffer, J R ; Maddalena, A ; Huynh, K D ; Wolleb, S ; Lütjohann, D ; Schneider, B;Thal,DR Grimaldi, L M E ; Tsolaki, M ; Kapaki, E ; Ravid, R ; Konietzko, U ; Hegi, T ; Pasch, T ; Jung, H ; Braak, H ; Amouyel, P ; Rogaev, E I ; Hardy, J ; Hock, C ; Nitsch, R M Abstract: Alzheimer’s disease (AD) is the most common cause of dementia. It is characterized by beta- amyloid (A beta) plaques, neurofibrillary tangles and the degeneration of specifically vulnerable brain neurons. We observed high expression of the cholesterol 25-hydroxylase (CH25H) gene in specifically vulnerable brain regions of AD patients. CH25H maps to a region within 10q23 that has been previ- ously linked to sporadic AD. Sequencing of the 5’ region of CH25H revealed three common haplotypes, CH25Hchi2, CH25Hchi3 and CH25Hchi4; CSF levels of the cholesterol precursor lathosterol were higher in carriers of the CH25Hchi4 haplotype. In 1,282 patients with AD and 1,312 healthy control subjects from five independent populations, a common variation in the vicinity of CH25H was significantly associated with the risk for sporadic AD (p = 0.006). Quantitative neuropathology of brains from elderly non- demented subjects showed brain A beta deposits in carriers of CH25Hchi4 and CH25Hchi3 haplotypes, whereas no A beta deposits were present in CH25Hchi2 carriers. -
393LN V 393P 344SQ V 393P Probe Set Entrez Gene
393LN v 393P 344SQ v 393P Entrez fold fold probe set Gene Gene Symbol Gene cluster Gene Title p-value change p-value change chemokine (C-C motif) ligand 21b /// chemokine (C-C motif) ligand 21a /// chemokine (C-C motif) ligand 21c 1419426_s_at 18829 /// Ccl21b /// Ccl2 1 - up 393 LN only (leucine) 0.0047 9.199837 0.45212 6.847887 nuclear factor of activated T-cells, cytoplasmic, calcineurin- 1447085_s_at 18018 Nfatc1 1 - up 393 LN only dependent 1 0.009048 12.065 0.13718 4.81 RIKEN cDNA 1453647_at 78668 9530059J11Rik1 - up 393 LN only 9530059J11 gene 0.002208 5.482897 0.27642 3.45171 transient receptor potential cation channel, subfamily 1457164_at 277328 Trpa1 1 - up 393 LN only A, member 1 0.000111 9.180344 0.01771 3.048114 regulating synaptic membrane 1422809_at 116838 Rims2 1 - up 393 LN only exocytosis 2 0.001891 8.560424 0.13159 2.980501 glial cell line derived neurotrophic factor family receptor alpha 1433716_x_at 14586 Gfra2 1 - up 393 LN only 2 0.006868 30.88736 0.01066 2.811211 1446936_at --- --- 1 - up 393 LN only --- 0.007695 6.373955 0.11733 2.480287 zinc finger protein 1438742_at 320683 Zfp629 1 - up 393 LN only 629 0.002644 5.231855 0.38124 2.377016 phospholipase A2, 1426019_at 18786 Plaa 1 - up 393 LN only activating protein 0.008657 6.2364 0.12336 2.262117 1445314_at 14009 Etv1 1 - up 393 LN only ets variant gene 1 0.007224 3.643646 0.36434 2.01989 ciliary rootlet coiled- 1427338_at 230872 Crocc 1 - up 393 LN only coil, rootletin 0.002482 7.783242 0.49977 1.794171 expressed sequence 1436585_at 99463 BB182297 1 - up 393 -
Cell Type Manuscript Rev 180328 Justmaintext
Running Head: PREDICTING CELL TYPE BALANCE 1012 7. Supporting Information 1013 1014 1015 Supplementary Material for: 1016 1017 INFERENCE OF CELL TYPE COMPOSITION FROM HUMAN BRAIN TRANSCRIPTOMIC 1018 DATASETS ILLUMINATES THE EFFECTS OF AGE, MANNER OF DEATH, DISSECTION, 1019 AND PSYCHIATRIC DIAGNOSIS 1020 *Megan Hastings Hagenauer, Ph.D.1, Anton Schulmann, M.D.2, Jun Z. Li, Ph.D.3, Marquis P. Vawter, 1021 Ph.D.4, David M. Walsh, Psy.D.4, Robert C. Thompson, Ph.D.1, Cortney A. Turner, Ph.D.1, William E. 1022 Bunney, M.D.4, Richard M. Myers, Ph.D.5, Jack D. Barchas, M.D.6, Alan F. Schatzberg, M.D.7, Stanley J. 1023 Watson, M.D., Ph.D.1, Huda Akil, Ph.D.1 1024 42 Running Head: PREDICTING CELL TYPE BALANCE 1025 7.1 Additional Methods: Detailed Preprocessing Methods for the Transcriptomic Datasets 1026 1027 7.1.1 RNA-Seq data from Purified Cell Types (GSE52564 and GSE67835) 1028 As initial validation, we used our method to predict sample cell type identity in two RNA-Seq 1029 datasets derived from purified cell types: one derived from from purified cortical cell types in mice 1030 (n=17: two samples per cell type and 3 whole brain samples: GSE52564) (18), and one derived from 466 1031 single-cells dissociated from freshly-resected human cortex (GSE67835) (2). The RNA-Seq data that we 1032 downloaded from GEO was already in the format of FPKM values (Fragments Per Kilobase of exon 1033 model per million mapped fragments) (18) or counts per gene (2). -
Conserved Regulatory Logic at Accessible and Inaccessible Chromatin During the Acute Inflammatory Response in Mammals
ARTICLE https://doi.org/10.1038/s41467-020-20765-1 OPEN Conserved regulatory logic at accessible and inaccessible chromatin during the acute inflammatory response in mammals Azad Alizada 1,2,11, Nadiya Khyzha3,4,11, Liangxi Wang1,2, Lina Antounians1,2, Xiaoting Chen5, Melvin Khor3,4, Minggao Liang1,2, Kumaragurubaran Rathnakumar 1,4, Matthew T. Weirauch 5,6,7,8, ✉ ✉ Alejandra Medina-Rivera1,9, Jason E. Fish 3,4,10 & Michael D. Wilson 1,2 1234567890():,; The regulatory elements controlling gene expression during acute inflammation are not fully elucidated. Here we report the identification of a set of NF-κB-bound elements and common chromatin landscapes underlying the acute inflammatory response across cell-types and mammalian species. Using primary vascular endothelial cells (human/mouse/bovine) trea- ted with the pro−inflammatory cytokine, Tumor Necrosis Factor-α, we identify extensive (~30%) conserved orthologous binding of NF-κB to accessible, as well as nucleosome- occluded chromatin. Regions with the highest NF-κB occupancy pre-stimulation show dra- matic increases in NF-κB binding and chromatin accessibility post-stimulation. These ‘pre- bound’ regions are typically conserved (~56%), contain multiple NF-κB motifs, are utilized by diverse cell types, and overlap rare non-coding mutations and common genetic variation associated with both inflammatory and cardiovascular phenotypes. Genetic ablation of conserved, ‘pre-bound’ NF-κB regions within the super-enhancer associated with the chemokine-encoding CCL2 gene and elsewhere supports the functional relevance of these elements. 1 Hospital for Sick Children, Genetics and Genome Biology, Toronto, Canada. 2 Department of Molecular Genetics, University of Toronto, Toronto, Canada. -
Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands That Promote Axonal Growth
Research Article: New Research Development Peripheral Nerve Single-Cell Analysis Identifies Mesenchymal Ligands that Promote Axonal Growth Jeremy S. Toma,1 Konstantina Karamboulas,1,ª Matthew J. Carr,1,2,ª Adelaida Kolaj,1,3 Scott A. Yuzwa,1 Neemat Mahmud,1,3 Mekayla A. Storer,1 David R. Kaplan,1,2,4 and Freda D. Miller1,2,3,4 https://doi.org/10.1523/ENEURO.0066-20.2020 1Program in Neurosciences and Mental Health, Hospital for Sick Children, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada, 2Institute of Medical Sciences University of Toronto, Toronto, Ontario M5G 1A8, Canada, 3Department of Physiology, University of Toronto, Toronto, Ontario M5G 1A8, Canada, and 4Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5G 1A8, Canada Abstract Peripheral nerves provide a supportive growth environment for developing and regenerating axons and are es- sential for maintenance and repair of many non-neural tissues. This capacity has largely been ascribed to paracrine factors secreted by nerve-resident Schwann cells. Here, we used single-cell transcriptional profiling to identify ligands made by different injured rodent nerve cell types and have combined this with cell-surface mass spectrometry to computationally model potential paracrine interactions with peripheral neurons. These analyses show that peripheral nerves make many ligands predicted to act on peripheral and CNS neurons, in- cluding known and previously uncharacterized ligands. While Schwann cells are an important ligand source within injured nerves, more than half of the predicted ligands are made by nerve-resident mesenchymal cells, including the endoneurial cells most closely associated with peripheral axons. At least three of these mesen- chymal ligands, ANGPT1, CCL11, and VEGFC, promote growth when locally applied on sympathetic axons.