WO 2013/064702 A2 10 May 2013 (10.05.2013) P O P C T
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Genetic Analysis of Retinopathy in Type 1 Diabetes
Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194). -
Nuclear and Mitochondrial Genome Defects in Autisms
UC Irvine UC Irvine Previously Published Works Title Nuclear and mitochondrial genome defects in autisms. Permalink https://escholarship.org/uc/item/8vq3278q Journal Annals of the New York Academy of Sciences, 1151(1) ISSN 0077-8923 Authors Smith, Moyra Spence, M Anne Flodman, Pamela Publication Date 2009 DOI 10.1111/j.1749-6632.2008.03571.x License https://creativecommons.org/licenses/by/4.0/ 4.0 Peer reviewed eScholarship.org Powered by the California Digital Library University of California THE YEAR IN HUMAN AND MEDICAL GENETICS 2009 Nuclear and Mitochondrial Genome Defects in Autisms Moyra Smith, M. Anne Spence, and Pamela Flodman Department of Pediatrics, University of California, Irvine, California In this review we will evaluate evidence that altered gene dosage and structure im- pacts neurodevelopment and neural connectivity through deleterious effects on synap- tic structure and function, and evidence that the latter are key contributors to the risk for autism. We will review information on alterations of structure of mitochondrial DNA and abnormal mitochondrial function in autism and indications that interactions of the nuclear and mitochondrial genomes may play a role in autism pathogenesis. In a final section we will present data derived using Affymetrixtm SNP 6.0 microar- ray analysis of DNA of a number of subjects and parents recruited to our autism spectrum disorders project. We include data on two sets of monozygotic twins. Col- lectively these data provide additional evidence of nuclear and mitochondrial genome imbalance in autism and evidence of specific candidate genes in autism. We present data on dosage changes in genes that map on the X chromosomes and the Y chro- mosome. -
Goat Anti-4E-T / EIF4ENIF1 Antibody Catalog No: Tcva06230
Web: www.taiclone.com Tel: +886-2-2735-9682 Email: [email protected] Goat anti-4E-T / EIF4ENIF1 Antibody Catalog No: tcva06230 Available Sizes Size: 100µg Specifications Application: Pep-ELISA, WB, IHC Research Area: RNA-sorting; mRNA decay; P-body; NIF transporter; translation Species Reactivity: Human, Mouse, Rat, Dog, Pig, Cow Host Species: Goat Immunogen / Amino acids: C-AKVISVDELEYRQ Conjugation: Unconjugated Form: Liquid Storage Buffer: Tris saline, 0.02% sodium azide, pH7.3 with 0.5% bovine serum albumin Concentration: 0.5 mg/ml in 200 µl Recommended Dilution: Western Blot: Approx 140-150kDa band observed in 293 lysates (predicted size of approx. 108kDa according to NP_062817.1 however our observation agrees with that of Dostie et al (see below) ). Recommended for use at 0.25-0.5µg/ml Copyright 2021 Taiclone Biotech Corp. Web: www.taiclone.com Tel: +886-2-2735-9682 Email: [email protected] Peptide ELISA: antibody detection limit dilution 1:32000. Amino Acid Sequence: NP_062817.2; NP_001157974.1 Storage Instruction: Aliquot store at -20C. Avoid freeze / thaw cycles. Alternative Names: EIF4ENIF1; 4E-T; Clast4; FLJ21601; 2610509L04Rik; eukaryotic translation initiation factor 4E nuclear import factor 1; eIF4E-transporter; FLJ26551; OTTHUMP00000063276 Gene ID: 56478 (human);74203 (mouse); Reference Sequence No.: NP_062817.2; NP_001157974.1 Calculated Molecular Weight: 108; 88.2 Purification: Purified from goat serum by ammonium sulphate precipitation followed by antigen affinity chromatography using the immunizing peptide DS Gene Ontology Terms: protein transporter; nucleocytoplasmic transport; cytoplasm; nucleus Positive Control: tcva06230p Notes This antibody is expected to recognise isoform 1 (NP_062817.2) and isoform b (NP_001157974.1). Reported variants represent identical protein (NP_062817.2; NP_001157973.1). -
A Novel Computational Algorithm for Predicting Immune Cell Types Using Single-Cell RNA Sequencing Data
A novel computational algorithm for predicting immune cell types using single-cell RNA sequencing data By Shuo Jia A hesis submitted to the Faculty of Graduate Studies of The University of Manitoba n partial fulfillment of the requirements of the degree of MASTER OF SCIENCE Department of Biochemistry and Medical Genetics University of Manitoba Winnipeg, Manitoba, Canada Copyright © 2020 by Shuo Jia Abstract Background: Cells from our immune system detect and kill pathogens to protect our body against many diseases. However, current methods for determining cell types have some major limitations, such as being time-consuming and with low throughput rate, etc. These problems stack up and hinder the deep exploration of cellular heterogeneity. Immune cells that are associated with cancer tissues play a critical role in revealing the stages of tumor development. Identifying the immune composition within tumor microenvironments in a timely manner will be helpful to improve clinical prognosis and therapeutic management for cancer. Single-cell RNA sequencing (scRNA-seq), an RNA sequencing (RNA-seq) technique that focuses on a single cell level, has provided us with the ability to conduct cell type classification. Although unsupervised clustering approaches are the major methods for analyzing scRNA-seq datasets, their results vary among studies with different input parameters and sizes. However, in supervised machine learning methods, information loss and low prediction accuracy are the key limitations. Methods and Results: Genes in the human genome align to chromosomes in a particular order. Hence, we hypothesize incorporating this information into our model will potentially improve the cell type classification performance. In order to utilize gene positional information, we introduce chromosome-based neural network, namely ChrNet, a novel chromosome-specific re-trainable supervised learning method based on a one-dimensional 1 convolutional neural network (1D-CNN). -
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers
Identification and Characterization of TPRKB Dependency in TP53 Deficient Cancers. by Kelly Kennaley A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Molecular and Cellular Pathology) in the University of Michigan 2019 Doctoral Committee: Associate Professor Zaneta Nikolovska-Coleska, Co-Chair Adjunct Associate Professor Scott A. Tomlins, Co-Chair Associate Professor Eric R. Fearon Associate Professor Alexey I. Nesvizhskii Kelly R. Kennaley [email protected] ORCID iD: 0000-0003-2439-9020 © Kelly R. Kennaley 2019 Acknowledgements I have immeasurable gratitude for the unwavering support and guidance I received throughout my dissertation. First and foremost, I would like to thank my thesis advisor and mentor Dr. Scott Tomlins for entrusting me with a challenging, interesting, and impactful project. He taught me how to drive a project forward through set-backs, ask the important questions, and always consider the impact of my work. I’m truly appreciative for his commitment to ensuring that I would get the most from my graduate education. I am also grateful to the many members of the Tomlins lab that made it the supportive, collaborative, and educational environment that it was. I would like to give special thanks to those I’ve worked closely with on this project, particularly Dr. Moloy Goswami for his mentorship, Lei Lucy Wang, Dr. Sumin Han, and undergraduate students Bhavneet Singh, Travis Weiss, and Myles Barlow. I am also grateful for the support of my thesis committee, Dr. Eric Fearon, Dr. Alexey Nesvizhskii, and my co-mentor Dr. Zaneta Nikolovska-Coleska, who have offered guidance and critical evaluation since project inception. -
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. -
Towards a Molecular Understanding of Microrna-Mediated Gene Silencing
REVIEWS NON-CODING RNA Towards a molecular understanding of microRNA-mediated gene silencing Stefanie Jonas and Elisa Izaurralde Abstract | MicroRNAs (miRNAs) are a conserved class of small non-coding RNAs that assemble with Argonaute proteins into miRNA-induced silencing complexes (miRISCs) to direct post-transcriptional silencing of complementary mRNA targets. Silencing is accomplished through a combination of translational repression and mRNA destabilization, with the latter contributing to most of the steady-state repression in animal cell cultures. Degradation of the mRNA target is initiated by deadenylation, which is followed by decapping and 5ʹ‑to‑3ʹ exonucleolytic decay. Recent work has enhanced our understanding of the mechanisms of silencing, making it possible to describe in molecular terms a continuum of direct interactions from miRNA target recognition to mRNA deadenylation, decapping and 5ʹ‑to‑3ʹ degradation. Furthermore, an intricate interplay between translational repression and mRNA degradation is emerging. Deadenylation MicroRNAs (miRNAs) are conserved post-transcriptional recruit additional protein partners to mediate silenc- 5,6 Shortening of mRNA poly(A) regulators of gene expression that are integral to ing . Silencing occurs through a combination of tails. In eukaryotes, this almost all known biological processes, including translational repression, deadenylation, decapping and process is catalysed by the cell growth, proliferation and differentiation, as well 5ʹ‑to‑3ʹ mRNA degradation5,6 (FIG. 1). The GW182 pro- consecutive but partially as organismal metabolism and development1. The teins play a central part in this process and are among redundant action of two 5,6 cytoplasmic deadenylase number of miRNAs encoded within the genomes of the most extensively studied AGO partners . -
Supplement 1 Microarray Studies
EASE Categories Significantly Enriched in vs MG vs vs MGC4-2 Pt1-C vs C4-2 Pt1-C UP-Regulated Genes MG System Gene Category EASE Global MGRWV Pt1-N RWV Pt1-N Score FDR GO Molecular Extracellular matrix cellular construction 0.0008 0 110 genes up- Function Interpro EGF-like domain 0.0009 0 regulated GO Molecular Oxidoreductase activity\ acting on single dono 0.0015 0 Function GO Molecular Calcium ion binding 0.0018 0 Function Interpro Laminin-G domain 0.0025 0 GO Biological Process Cell Adhesion 0.0045 0 Interpro Collagen Triple helix repeat 0.0047 0 KEGG pathway Complement and coagulation cascades 0.0053 0 KEGG pathway Immune System – Homo sapiens 0.0053 0 Interpro Fibrillar collagen C-terminal domain 0.0062 0 Interpro Calcium-binding EGF-like domain 0.0077 0 GO Molecular Cell adhesion molecule activity 0.0105 0 Function EASE Categories Significantly Enriched in Down-Regulated Genes System Gene Category EASE Global Score FDR GO Biological Process Copper ion homeostasis 2.5E-09 0 Interpro Metallothionein 6.1E-08 0 Interpro Vertebrate metallothionein, Family 1 6.1E-08 0 GO Biological Process Transition metal ion homeostasis 8.5E-08 0 GO Biological Process Heavy metal sensitivity/resistance 1.9E-07 0 GO Biological Process Di-, tri-valent inorganic cation homeostasis 6.3E-07 0 GO Biological Process Metal ion homeostasis 6.3E-07 0 GO Biological Process Cation homeostasis 2.1E-06 0 GO Biological Process Cell ion homeostasis 2.1E-06 0 GO Biological Process Ion homeostasis 2.1E-06 0 GO Molecular Helicase activity 2.3E-06 0 Function GO Biological -
Transcriptomic Signature and Metabolic Programming of Bovine Classical and Nonclassical Monocytes Indicate Distinct Functional Specializations
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.30.362731; this version posted November 1, 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. Transcriptomic signature and metabolic programming of bovine classical and nonclassical monocytes indicate distinct functional specializations Stephanie C. Talker1,2, G. Tuba Barut1,2, Reto Rufener3, Lilly von Münchow4, Artur Summerfield1,2 1Institute of Virology and Immunology, Bern and Mittelhäusern, Switzerland 2Department of Infectious Diseases and Pathobiology, Vetsuisse Faculty, University of Bern, Bern, Switzerland 3Institute of Parasitology, Vetsuisse Faculty, University of Bern, Bern, Switzerland 4 Bucher Biotec AG, Basel, Switzerland *Correspondence: Corresponding Author [email protected] Keywords: monocyte subsets, transcriptome, metabolism, cattle Abstract Similar to human monocytes, bovine monocytes can be split into CD14+CD16- classical and CD14-CD16+ nonclassical monocytes (cM and ncM, respectively). Here, we present an in-depth analysis of their steady-state transcriptomes, highlighting pronounced functional specializations. Gene transcription indicates that pro-inflammatory and antibacterial processes are associated with cM, while ncM appear to be specialized in regulatory/anti-inflammatory functions and tissue repair, as well as antiviral responses and T-cell immunomodulation. In support of these functional differences, we found that oxidative phosphorylation prevails in ncM, whereas cM are clearly biased towards aerobic glycolysis. Furthermore, bovine monocyte subsets differed in their responsiveness to TLR ligands, supporting an antiviral role of ncM. Taken together, these data clearly indicate a variety of subset-specific functions in cM and ncM that are likely to be transferable to monocyte subsets of other species, including humans. -
Supplemental Information
Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig. -
ALG12 Gene Pair Kentaro Oh-Hashi1*, Hisashi Koga2, Shun Ikeda2, Kiyo Shimada2, Yoko Hirata1, Kazutoshi Kiuchi1
Oh-hashi et al. BMC Genomics 2010, 11:664 http://www.biomedcentral.com/1471-2164/11/664 RESEARCH ARTICLE Open Access Role of an ER stress response element in regulating the bidirectional promoter of the mouse CRELD2 - ALG12 gene pair Kentaro Oh-hashi1*, Hisashi Koga2, Shun Ikeda2, Kiyo Shimada2, Yoko Hirata1, Kazutoshi Kiuchi1 Abstract Background: Recently, we identified cysteine-rich with EGF-like domains 2 (CRELD2) as a novel endoplasmic reticulum (ER) stress-inducible gene and characterized its transcriptional regulation by ATF6 under ER stress conditions. Interestingly, the CRELD2 and asparagine-linked glycosylation 12 homolog (ALG12) genes are arranged as a bidirectional (head-to-head) gene pair and are separated by less than 400 bp. In this study, we characterized the transcriptional regulation of the mouse CRELD2 and ALG12 genes that is mediated by a common bidirectional promoter. Results: This short intergenic region contains an ER stress response element (ERSE) sequence and is well conserved among the human, rat and mouse genomes. Microarray analysis revealed that CRELD2 and ALG12 mRNAs were induced in Neuro2a cells by treatment with thapsigargin (Tg), an ER stress inducer, in a time- dependent manner. Other ER stress inducers, tunicamycin and brefeldin A, also increased the expression of these two mRNAs in Neuro2a cells. We then tested for the possible involvement of the ERSE motif and other regulatory sites of the intergenic region in the transcriptional regulation of the mouse CRELD2 and ALG12 genes by using variants of the bidirectional reporter construct. With regards to the promoter activities of the CRELD2-ALG12 gene pair, the entire intergenic region hardly responded to Tg, whereas the CRELD2 promoter constructs of the proximal region containing the ERSE motif showed a marked responsiveness to Tg. -
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.