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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). -
Atlas Antibodies in Breast Cancer Research Table of Contents
ATLAS ANTIBODIES IN BREAST CANCER RESEARCH TABLE OF CONTENTS The Human Protein Atlas, Triple A Polyclonals and PrecisA Monoclonals (4-5) Clinical markers (6) Antibodies used in breast cancer research (7-13) Antibodies against MammaPrint and other gene expression test proteins (14-16) Antibodies identified in the Human Protein Atlas (17-14) Finding cancer biomarkers, as exemplified by RBM3, granulin and anillin (19-22) Co-Development program (23) Contact (24) Page 2 (24) Page 3 (24) The Human Protein Atlas: a map of the Human Proteome The Human Protein Atlas (HPA) is a The Human Protein Atlas consortium cell types. All the IHC images for Swedish-based program initiated in is mainly funded by the Knut and Alice the normal tissue have undergone 2003 with the aim to map all the human Wallenberg Foundation. pathology-based annotation of proteins in cells, tissues and organs expression levels. using integration of various omics The Human Protein Atlas consists of technologies, including antibody- six separate parts, each focusing on References based imaging, mass spectrometry- a particular aspect of the genome- 1. Sjöstedt E, et al. (2020) An atlas of the based proteomics, transcriptomics wide analysis of the human proteins: protein-coding genes in the human, pig, and and systems biology. mouse brain. Science 367(6482) 2. Thul PJ, et al. (2017) A subcellular map of • The Tissue Atlas shows the the human proteome. Science. 356(6340): All the data in the knowledge resource distribution of proteins across all eaal3321 is open access to allow scientists both major tissues and organs in the 3. -
The Extracellular Matrix Phenome Across Species
bioRxiv preprint doi: https://doi.org/10.1101/2020.03.06.980169; this version posted March 6, 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-ND 4.0 International license. The extracellular matrix phenome across species Cyril Statzer1 and Collin Y. Ewald1* 1 Eidgenössische Technische Hochschule Zürich, Department of Health Sciences and Technology, Institute of Translational Medicine, Schwerzenbach-Zürich CH-8603, Switzerland *Corresponding authors: [email protected] (CYE) Keywords: Phenome, genotype-to-phenotype, matrisome, extracellular matrix, collagen, data mining. Highlights • 7.6% of the human phenome originates from variations in matrisome genes • 11’671 phenotypes are linked to matrisome genes of humans, mice, zebrafish, Drosophila, and C. elegans • Expected top ECM phenotypes are developmental, morphological and structural phenotypes • Nonobvious top ECM phenotypes include immune system, stress resilience, and age-related phenotypes 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.06.980169; this version posted March 6, 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-ND 4.0 International license. 1 Abstract 2 Extracellular matrices are essential for cellular and organismal function. Recent 3 genome-wide and phenome-wide association studies started to reveal a broad 4 spectrum of phenotypes associated with genetic variants. However, the phenome or 5 spectrum of all phenotypes associated with genetic variants in extracellular matrix 6 genes is unknown. -
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). -
Protein-Coding Variants Implicate Novel Genes Related to Lipid Homeostasis
bioRxiv preprint doi: https://doi.org/10.1101/352674; this version posted June 30, 2018. 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 PROTEIN-CODING VARIANTS IMPLICATE NOVEL GENES RELATED TO LIPID HOMEOSTASIS 2 CONTRIBUTING TO BODY FAT DISTRIBUTION 3 Anne E Justice¥,1,2, Tugce Karaderi¥,3,4, Heather M Highland¥,1,5, Kristin L Young¥,1, Mariaelisa Graff¥,1, 4 Yingchang Lu¥,6,7,8, Valérie Turcot9, Paul L Auer10, Rebecca S Fine11,12,13, Xiuqing Guo14, Claudia 5 Schurmann7,8, Adelheid Lempradl15, Eirini Marouli16, Anubha Mahajan3, Thomas W Winkler17, Adam E 6 Locke18,19, Carolina Medina-Gomez20,21, Tõnu Esko11,13,22, Sailaja Vedantam11,12,13, Ayush Giri23, Ken Sin 7 Lo9, Tamuno Alfred7, Poorva Mudgal24, Maggie CY Ng24,25, Nancy L Heard-Costa26,27, Mary F Feitosa28, 8 Alisa K Manning11,29,30 , Sara M Willems31, Suthesh Sivapalaratnam30,32,33, Goncalo Abecasis18, Dewan S 9 Alam34, Matthew Allison35, Philippe Amouyel36,37,38, Zorayr Arzumanyan14, Beverley Balkau39, Lisa 10 Bastarache40, Sven Bergmann41,42, Lawrence F Bielak43, Matthias Blüher44,45, Michael Boehnke18, Heiner 11 Boeing46, Eric Boerwinkle47,48, Carsten A Böger49, Jette Bork-Jensen50, Erwin P Bottinger7, Donald W 12 Bowden24,25,51, Ivan Brandslund52,53, Linda Broer21, Amber A Burt54, Adam S Butterworth55,56, Mark J 13 Caulfield16,57, Giancarlo Cesana58, John C Chambers59,60,61,62,63, Daniel I Chasman11,64,65,66, Yii-Der Ida 14 Chen14, Rajiv Chowdhury55, Cramer Christensen67, -
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. -
Amplification of Chromosome 8 Genes in Lung Cancer Onur Baykara1, Burak Bakir1, Nur Buyru1, Kamil Kaynak2, Nejat Dalay3
Journal of Cancer 2015, Vol. 6 270 Ivyspring International Publisher Journal of Cancer 2015; 6(3): 270-275. doi: 10.7150/jca.10638 Research Paper Amplification of Chromosome 8 Genes in Lung Cancer Onur Baykara1, Burak Bakir1, Nur Buyru1, Kamil Kaynak2, Nejat Dalay3 1. Department of Medical Biology, Cerrahpasa Medical Faculty, Istanbul University, Turkey 2. Department of Chest Surgery, Cerrahpasa Medical Faculty, Istanbul University, Turkey 3. Department of Basic Oncology, I.U. Oncology Institute, Istanbul University, Turkey Corresponding author: Prof. Dr. Nejat Dalay, I.U.Oncology Institute, 34093 Capa, Istanbul, Turkey. e-mail : [email protected]; Phone : 90 542 2168861; Fax : 90 212 5348078 © 2015 Ivyspring International Publisher. Reproduction is permitted for personal, noncommercial use, provided that the article is in whole, unmodified, and properly cited. See http://ivyspring.com/terms for terms and conditions. Received: 2014.09.25; Accepted: 2014.12.18; Published: 2015.01.20 Abstract Chromosomal alterations are frequent events in lung carcinogenesis and usually display regions of focal amplification containing several overexpressed oncogenes. Although gains and losses of chromosomal loci have been reported copy number changes of the individual genes have not been analyzed in lung cancer. In this study 22 genes were analyzed by MLPA in tumors and matched normal tissue samples from 82 patients with non-small cell lung cancer. Gene amplifications were observed in 84% of the samples. Chromosome 8 was found to harbor the most frequent copy number alterations. The most frequently amplified genes were ZNF703, PRDM14 and MYC on chromosome 8 and the BIRC5 gene on chromosome 17. The frequency of deletions were much lower and the most frequently deleted gene was ADAM9. -
Searching for Novel Peptide Hormones in the Human Genome Olivier Mirabeau
Searching for novel peptide hormones in the human genome Olivier Mirabeau To cite this version: Olivier Mirabeau. Searching for novel peptide hormones in the human genome. Life Sciences [q-bio]. Université Montpellier II - Sciences et Techniques du Languedoc, 2008. English. tel-00340710 HAL Id: tel-00340710 https://tel.archives-ouvertes.fr/tel-00340710 Submitted on 21 Nov 2008 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITE MONTPELLIER II SCIENCES ET TECHNIQUES DU LANGUEDOC THESE pour obtenir le grade de DOCTEUR DE L'UNIVERSITE MONTPELLIER II Discipline : Biologie Informatique Ecole Doctorale : Sciences chimiques et biologiques pour la santé Formation doctorale : Biologie-Santé Recherche de nouvelles hormones peptidiques codées par le génome humain par Olivier Mirabeau présentée et soutenue publiquement le 30 janvier 2008 JURY M. Hubert Vaudry Rapporteur M. Jean-Philippe Vert Rapporteur Mme Nadia Rosenthal Examinatrice M. Jean Martinez Président M. Olivier Gascuel Directeur M. Cornelius Gross Examinateur Résumé Résumé Cette thèse porte sur la découverte de gènes humains non caractérisés codant pour des précurseurs à hormones peptidiques. Les hormones peptidiques (PH) ont un rôle important dans la plupart des processus physiologiques du corps humain. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4). -
Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1
[CANCER RESEARCH 63, 1382–1388, March 15, 2003] Growth and Molecular Profile of Lung Cancer Cells Expressing Ectopic LKB1: Down-Regulation of the Phosphatidylinositol 3-Phosphate Kinase/PTEN Pathway1 Ana I. Jimenez, Paloma Fernandez, Orlando Dominguez, Ana Dopazo, and Montserrat Sanchez-Cespedes2 Molecular Pathology Program [A. I. J., P. F., M. S-C.], Genomics Unit [O. D.], and Microarray Analysis Unit [A. D.], Spanish National Cancer Center, 28029 Madrid, Spain ABSTRACT the cell cycle in G1 (8, 9). However, the intrinsic mechanism by which LKB1 activity is regulated in cells and how it leads to the suppression Germ-line mutations in LKB1 gene cause the Peutz-Jeghers syndrome of cell growth is still unknown. It has been proposed that growth (PJS), a genetic disease with increased risk of malignancies. Recently, suppression by LKB1 is mediated through p21 in a p53-dependent LKB1-inactivating mutations have been identified in one-third of sporadic lung adenocarcinomas, indicating that LKB1 gene inactivation is critical in mechanism (7). In addition, it has been observed that LKB1 binds to tumors other than those of the PJS syndrome. However, the in vivo brahma-related gene 1 protein (BRG1) and this interaction is required substrates of LKB1 and its role in cancer development have not been for BRG1-induced growth arrest (10). Similar to what happens in the completely elucidated. Here we show that overexpression of wild-type PJS, Lkb1 heterozygous knockout mice show gastrointestinal hamar- LKB1 protein in A549 lung adenocarcinomas cells leads to cell-growth tomatous polyposis and frequent hepatocellular carcinomas (11, 12). suppression. To examine changes in gene expression profiles subsequent to Interestingly, the hamartomas, but not the malignant tumors, arising in exogenous wild-type LKB1 in A549 cells, we used cDNA microarrays. -
A Proteomic and Genomic Approach to in Vivo Chemoresistance Using
Dissertation zur Erlangung des Doktorgrades der Fakultät für Chemie und Pharmazie der Ludwig-Maximilians-Universität München A proteomic and genomic approach to in vivo chemoresistance using spheroid and xenograft cancer models vorgelegt von Lilja Thoenes aus Starnberg 2009 Erklärung Diese Dissertation wurde im Sinne von § 13 Abs. 3 der Promotionsordnung vom 29. Januar 1998 von Herrn Prof. Dr. Ernst Wagner betreut. Ehrenwörtliche Versicherung Diese Dissertation wurde selbständig, ohne unerlaubte Hilfe erarbeitet. München, am 23.6.2009 …………………………... (Lilja Thoenes) Dissertation eingereicht am 23.6.2009 1. Gutachter: Prof Dr. Ernst Wagner 2. Gutachter: Prof Dr. Christian Wahl-Schott Mündliche Prüfung am 21.07.2009 Table of Contents Table of Contents 1. Introduction............................................................................................................ 1 1.1. Colon cancer ................................................................................................... 1 1.1.1. Low passage colon cancer cell lines ........................................................ 1 1.1.2. Threedimensional culture systems........................................................... 1 1.1.3. Proteomic profiling of multicellular spheroids of low passage colon carcinoma cells......................................................................................... 2 1.1.4. Chemoresistance to 5-fluorouracil in colon cancer .................................. 4 1.1.5. Chemoresistance of low passage colon carcinoma cells towards 5- fluorouracil -
Deimination, Intermediate Filaments and Associated Proteins
International Journal of Molecular Sciences Review Deimination, Intermediate Filaments and Associated Proteins Julie Briot, Michel Simon and Marie-Claire Méchin * UDEAR, Institut National de la Santé Et de la Recherche Médicale, Université Toulouse III Paul Sabatier, Université Fédérale de Toulouse Midi-Pyrénées, U1056, 31059 Toulouse, France; [email protected] (J.B.); [email protected] (M.S.) * Correspondence: [email protected]; Tel.: +33-5-6115-8425 Received: 27 October 2020; Accepted: 16 November 2020; Published: 19 November 2020 Abstract: Deimination (or citrullination) is a post-translational modification catalyzed by a calcium-dependent enzyme family of five peptidylarginine deiminases (PADs). Deimination is involved in physiological processes (cell differentiation, embryogenesis, innate and adaptive immunity, etc.) and in autoimmune diseases (rheumatoid arthritis, multiple sclerosis and lupus), cancers and neurodegenerative diseases. Intermediate filaments (IF) and associated proteins (IFAP) are major substrates of PADs. Here, we focus on the effects of deimination on the polymerization and solubility properties of IF proteins and on the proteolysis and cross-linking of IFAP, to finally expose some features of interest and some limitations of citrullinomes. Keywords: citrullination; post-translational modification; cytoskeleton; keratin; filaggrin; peptidylarginine deiminase 1. Introduction Intermediate filaments (IF) constitute a unique macromolecular structure with a diameter (10 nm) intermediate between those of actin microfilaments (6 nm) and microtubules (25 nm). In humans, IF are found in all cell types and organize themselves into a complex network. They play an important role in the morphology of a cell (including the nucleus), are essential to its plasticity, its mobility, its adhesion and thus to its function.