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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). -
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. -
Anti-TERF2 / Trf2 Antibody (ARG59099)
Product datasheet [email protected] ARG59099 Package: 50 μg anti-TERF2 / Trf2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes TERF2 / Trf2 Tested Reactivity Hu, Rat Tested Application IHC-P, WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name TERF2 / Trf2 Antigen Species Human Immunogen Recombinant protein corresponding to A81-K287 of Human TERF2 / Trf2. Conjugation Un-conjugated Alternate Names Telomeric DNA-binding protein; TRF2; TTAGGG repeat-binding factor 2; TRBF2; Telomeric repeat- binding factor 2 Application Instructions Application table Application Dilution IHC-P 0.5 - 1 µg/ml WB 0.1 - 0.5 µg/ml Application Note IHC-P: Antigen Retrieval: By heat mediation. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Calculated Mw 60 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer 0.9% NaCl, 0.2% Na2HPO4, 0.05% Sodium azide and 5% BSA. Preservative 0.05% Sodium azide Stabilizer 5% BSA Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. www.arigobio.com 1/3 Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Gene Symbol TERF2 Gene Full Name telomeric repeat binding factor 2 Background This gene encodes a telomere specific protein, TERF2, which is a component of the telomere nucleoprotein complex. -
Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R
bioRxiv preprint doi: https://doi.org/10.1101/132357; this version posted April 29, 2017. 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 4.0 International license. Signaling Pathway Activities Improve Prognosis for Breast Cancer Yunlong Jiao1,2,3,4, Marta R. Hidalgo5, Cankut Çubuk6, Alicia Amadoz5, José Carbonell- Caballero5, Jean-Philippe Vert1,2,3,4, and Joaquín Dopazo6,7,8,* 1MINES ParisTech, PSL Research University, Centre for Computational Biology, 77300 Fontainebleau, France; 2Institut Curie, 75248 Paris Cedex, Franc; 3INSERM, U900, 75248 Paris Cedex, France; 4Ecole Normale Supérieure, Department of Mathematics and their Applications, 75005 Paris, France; 5 Computational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), 46012 Valencia, Spain; 6Clinical Bioinformatics Research Area, Fundación Progreso y Salud (FPS), Hospital Virgen del Rocío, 41013, Sevilla, Spain; 7Functional Genomics Node (INB), FPS, Hospital Virgen del Rocío, 41013 Sevilla, Spain; 8 Bioinformatics in Rare Diseases (BiER), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), FPS, Hospital Virgen del Rocío, 41013, Sevilla, Spain *To whom correspondence should be addressed. Abstract With the advent of high-throughput technologies for genome-wide expression profiling, a large number of methods have been proposed to discover gene-based signatures as biomarkers to guide cancer prognosis. However, it is often difficult to interpret the list of genes in a prognostic signature regarding the underlying biological processes responsible for disease progression or therapeutic response. A particularly interesting alternative to gene-based biomarkers is mechanistic biomarkers, derived from signaling pathway activities, which are known to play a key role in cancer progression and thus provide more informative insights into cellular functions involved in cancer mechanism. -
Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways
biomolecules Article Whole Genome Sequencing of Familial Non-Medullary Thyroid Cancer Identifies Germline Alterations in MAPK/ERK and PI3K/AKT Signaling Pathways Aayushi Srivastava 1,2,3,4 , Abhishek Kumar 1,5,6 , Sara Giangiobbe 1, Elena Bonora 7, Kari Hemminki 1, Asta Försti 1,2,3 and Obul Reddy Bandapalli 1,2,3,* 1 Division of Molecular Genetic Epidemiology, German Cancer Research Center (DKFZ), D-69120 Heidelberg, Germany; [email protected] (A.S.); [email protected] (A.K.); [email protected] (S.G.); [email protected] (K.H.); [email protected] (A.F.) 2 Hopp Children’s Cancer Center (KiTZ), D-69120 Heidelberg, Germany 3 Division of Pediatric Neurooncology, German Cancer Research Center (DKFZ), German Cancer Consortium (DKTK), D-69120 Heidelberg, Germany 4 Medical Faculty, Heidelberg University, D-69120 Heidelberg, Germany 5 Institute of Bioinformatics, International Technology Park, Bangalore 560066, India 6 Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India 7 S.Orsola-Malphigi Hospital, Unit of Medical Genetics, 40138 Bologna, Italy; [email protected] * Correspondence: [email protected]; Tel.: +49-6221-42-1709 Received: 29 August 2019; Accepted: 10 October 2019; Published: 13 October 2019 Abstract: Evidence of familial inheritance in non-medullary thyroid cancer (NMTC) has accumulated over the last few decades. However, known variants account for a very small percentage of the genetic burden. Here, we focused on the identification of common pathways and networks enriched in NMTC families to better understand its pathogenesis with the final aim of identifying one novel high/moderate-penetrance germline predisposition variant segregating with the disease in each studied family. -
SUPPLEMENTARY APPENDIX a Homozygous Missense Variant in UBE2T Is Associated with a Mild Fanconi Anemia Phenotype
SUPPLEMENTARY APPENDIX A homozygous missense variant in UBE2T is associated with a mild Fanconi anemia phenotype Laura Schultz-Rogers, 1* Francis P. Lach, 2* Kimberly A. Rickman, 2 Alejandro Ferrer, 1 Abhishek A. Mangaonkar, 3 Tanya L. Schwab, 4 Christo - pher T. Schmitz, 4 Karl J. Clark, 4 Nikita R. Dsouza, 5 Michael T. Zimmermann, 5,6 Mark Litzow, 3 Nicole Jacobi, 7 Eric W. Klee, 1,8 Agata Smogorzewska 2# and Mrinal M. Patnaik 3# 1Center for Individualized Medicine, Mayo Clinic, Rochester, MN; 2Laboratory of Genome Maintenance, The Rockefeller University, New York, NY; 3De - partment of Hematology, Mayo Clinic, Rochester, MN; 4Department of Biochemistry and Molecular Biology, Mayo Clinic, Rochester, MN; 5Bioinformatics Re - search and Development Laboratory, Genomics Sciences and Precision Medicine Center, Medical College of Wisconsin, Milwaukee, WI; 6Clinical and Translational Sciences Institute, Medical College of Wisconsin, Milwaukee, WI; 7Department of Hematology Oncology, Hennepin County Medical Center, Min - neapolis, MN and 8Department of Clinical Genomics, Mayo Clinic, Rochester, MN, USA *LS-R and FPL contributed equally as co-first authors. #EWK, AS and MMP contributed equally as co-senior authors. Correspondence: MRINAL PATNAIK - [email protected] AGATA SMOGORZEWSKA - [email protected] doi:10.3324/haematol.2020.259275 Supplemental Information Homozygous missense variant in UBE2T is associated with mild Fanconi anemia phenotype Laura Schultz-Rogers1*, Francis P. Lach2*, Kimberly A. Rickman2, Alejandro Ferrer1, -
Differential Expression Profile Analysis of DNA Damage Repair Genes in CD133+/CD133‑ Colorectal Cancer Cells
ONCOLOGY LETTERS 14: 2359-2368, 2017 Differential expression profile analysis of DNA damage repair genes in CD133+/CD133‑ colorectal cancer cells YUHONG LU1*, XIN ZHOU2*, QINGLIANG ZENG2, DAISHUN LIU3 and CHANGWU YUE3 1College of Basic Medicine, Zunyi Medical University, Zunyi; 2Deparment of Gastroenterological Surgery, Affiliated Hospital of Zunyi Medical University, Zunyi;3 Zunyi Key Laboratory of Genetic Diagnosis and Targeted Drug Therapy, The First People's Hospital of Zunyi, Zunyi, Guizhou 563003, P.R. China Received July 20, 2015; Accepted January 6, 2017 DOI: 10.3892/ol.2017.6415 Abstract. The present study examined differential expression cells. By contrast, 6 genes were downregulated and none levels of DNA damage repair genes in COLO 205 colorectal were upregulated in the CD133+ cells compared with the cancer cells, with the aim of identifying novel biomarkers for COLO 205 cells. These findings suggest that CD133+ cells the molecular diagnosis and treatment of colorectal cancer. may possess the same DNA repair capacity as COLO 205 COLO 205-derived cell spheres were cultured in serum-free cells. Heterogeneity in the expression profile of DNA damage medium supplemented with cell factors, and CD133+/CD133- repair genes was observed in COLO 205 cells, and COLO cells were subsequently sorted using an indirect CD133 205-derived CD133- cells and CD133+ cells may therefore microbead kit. In vitro differentiation and tumorigenicity assays provide a reference for molecular diagnosis, therapeutic target in BABA/c nude mice were performed to determine whether selection and determination of the treatment and prognosis for the CD133+ cells also possessed stem cell characteristics, in colorectal cancer. -
Anti-TERF2 / Trf2 Antibody (ARG59098)
Product datasheet [email protected] ARG59098 Package: 100 μl anti-TERF2 / Trf2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes TERF2 / Trf2 Tested Reactivity Hu, Ms Tested Application WB Host Rabbit Clonality Polyclonal Isotype IgG Target Name TERF2 / Trf2 Antigen Species Human Immunogen Recombinant protein of Human TERF2 / Trf2. Conjugation Un-conjugated Alternate Names Telomeric DNA-binding protein; TRF2; TTAGGG repeat-binding factor 2; TRBF2; Telomeric repeat- binding factor 2 Application Instructions Application table Application Dilution WB 1:500 - 1:2000 Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Jurkat Calculated Mw 60 kDa Observed Size 70kDa Properties Form Liquid Purification Affinity purified. Buffer PBS (pH 7.3), 0.02% Sodium azide and 50% Glycerol. Preservative 0.02% Sodium azide Stabilizer 50% Glycerol Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. www.arigobio.com 1/2 Bioinformation Gene Symbol TERF2 Gene Full Name telomeric repeat binding factor 2 Background This gene encodes a telomere specific protein, TERF2, which is a component of the telomere nucleoprotein complex. This protein is present at telomeres in metaphase of the cell cycle, is a second negative regulator of telomere length and plays a key role in the protective activity of telomeres. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
Supplementary Tables S1-S3
Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse) -
(12) United States Patent (10) Patent No.: US 9,677,067 B2 Toro Et Al
USOO9677067B2 (12) United States Patent (10) Patent No.: US 9,677,067 B2 Toro et al. (45) Date of Patent: Jun. 13, 2017 (54) COMPOSITIONS AND METHODS FOR (58) Field of Classification Search SYNTHETIC GENE ASSEMBLY None See application file for complete search history. (71) Applicant: TWIST BIOSCIENCE CORPORATION, San Francisco, CA (US) (56) References Cited (72) Inventors: Esteban Toro, Fremont, CA (US); U.S. PATENT DOCUMENTS Sebastian Treusch, San Francisco, CA 3,549,368 A 12/1970 Robert et al. (US): Siyuan Chen, San Mateo, CA 3,920,714 A 11, 1975 Streck (US); Cheng-Hsien Wu, Burlingame, 4,123,661 A 10, 1978 Wolf et al. 4.415,732 A 11/1983 Caruthers et al. CA (US) 4,613,398 A 9/1986 Chiong et al. (73) Assignee: TWIST BIOSCIENCE 4,726,877 A 2/1988 Fryd et al. CORPORATION, San Francisco, CA (Continued) (US) FOREIGN PATENT DOCUMENTS (*) Notice: Subject to any disclaimer, the term of this EP OO90789 A1 10, 1983 patent is extended or adjusted under 35 EP O126621 B1 8, 1990 U.S.C. 154(b) by 0 days. (Continued) (21) Appl. No.: 15/154.879 OTHER PUBLICATIONS (22) Filed: May 13, 2016 Abudayyeh et al., C2c2 is a single-component programmable RNA guided RNA-targeting CRISPR effector. Science, available on line, (65) Prior Publication Data Jun. 13, 2016, at: http://zlab.mit.edu/assets/reprints Abudayyeh US 2016/0264958 A1 Sep. 15, 2016 OO Science 2016.pdf, 17 pages. (Continued) Related U.S. Application Data (63) Continuation of application No. Primary Examiner — Kaijiang Zhang PCT/US2016/016636, filed on Feb. -
Content Based Search in Gene Expression Databases and a Meta-Analysis of Host Responses to Infection
Content Based Search in Gene Expression Databases and a Meta-analysis of Host Responses to Infection A Thesis Submitted to the Faculty of Drexel University by Francis X. Bell in partial fulfillment of the requirements for the degree of Doctor of Philosophy November 2015 c Copyright 2015 Francis X. Bell. All Rights Reserved. ii Acknowledgments I would like to acknowledge and thank my advisor, Dr. Ahmet Sacan. Without his advice, support, and patience I would not have been able to accomplish all that I have. I would also like to thank my committee members and the Biomed Faculty that have guided me. I would like to give a special thanks for the members of the bioinformatics lab, in particular the members of the Sacan lab: Rehman Qureshi, Daisy Heng Yang, April Chunyu Zhao, and Yiqian Zhou. Thank you for creating a pleasant and friendly environment in the lab. I give the members of my family my sincerest gratitude for all that they have done for me. I cannot begin to repay my parents for their sacrifices. I am eternally grateful for everything they have done. The support of my sisters and their encouragement gave me the strength to persevere to the end. iii Table of Contents LIST OF TABLES.......................................................................... vii LIST OF FIGURES ........................................................................ xiv ABSTRACT ................................................................................ xvii 1. A BRIEF INTRODUCTION TO GENE EXPRESSION............................. 1 1.1 Central Dogma of Molecular Biology........................................... 1 1.1.1 Basic Transfers .......................................................... 1 1.1.2 Uncommon Transfers ................................................... 3 1.2 Gene Expression ................................................................. 4 1.2.1 Estimating Gene Expression ............................................ 4 1.2.2 DNA Microarrays ......................................................