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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. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Investigation of Adiposity Phenotypes in AA Associated with GALNT10 & Related Pathway Genes
Investigation of Adiposity Phenotypes in AA Associated With GALNT10 & Related Pathway Genes By Mary E. Stromberg A Dissertation Submitted to the Graduate Faculty of WAKE FOREST UNIVERSITY GRADUATE SCHOOL OF ARTS AND SCIENCES in Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY In Molecular Genetics and Genomics December 2018 Winston-Salem, North Carolina Approved by: Donald W. Bowden, Ph.D., Advisor Maggie C.Y. Ng, Ph.D., Advisor Timothy D. Howard, Ph.D., Chair Swapan Das, Ph.D. John P. Parks, Ph.D. Acknowledgements I would first like to thank my mentors, Dr. Bowden and Dr. Ng, for guiding my learning and growth during my years at Wake Forest University School of Medicine. Thank you Dr. Ng for spending so much time ensuring that I learn every detail of every protocol, and supporting me through personal difficulties over the years. Thank you Dr. Bowden for your guidance in making me a better scientist and person. I would like to thank my committee for their patience and the countless meetings we have had in discussing this project. I would like to say thank you to the members of our lab as well as the Parks lab for their support and friendship as well as their contributions to my project. Special thanks to Dean Godwin for his support and understanding. The umbrella program here at WFU has given me the chance to meet some of the best friends I could have wished for. I would like to also thank those who have taught me along the way and helped me to get to this point of my life, with special thanks to the late Dr. -
Identification, Characterization, and Utilization of Glycosyltransferases
Identification, Characterization, and Utilization of Glycosyltransferases DISSERTATION Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Nicholas Roman Pettit Graduate Program in Chemistry The Ohio State University 2011 Dissertation Committee: Dr. Peng George Wang, Advisor Dr. Zucai Suo Dr. Karin Musier-Forsyth Copyright by Nicholas Pettit 2011 3 ABSTRACT Among the many biomolecules found in nature, such as amino acids and DNA, carbohydrates are among the most important and abundant. The assembly of carbohydrates to build various oligosaccharides or glycans is of considerable interest in the glycobiology community, as understanding, controlling, and manipulating such assemblies can yield many interesting insights. This is because glycans are directly involved with many critical biological processes such as molecular recognition, cell-to- cell communication, protein folding and stability, as well as being involved many unique disease state phenotypes. The assembly of these glycans is commonly accomplished by a class of enzymes called glycosyltransferases, and it is these enzymes which have been exploited in vitro for the synthesis of attractive oligosaccharides. However, the identification, characterization, and subsequent exploitation of a glycosyltransferase is a very tedious and long process which stems from the root problem that knowing the primary function of a glycosyltransferase must be determined experimentally. This is because glycans -
Profiling Haplotype Specific Cpg and Cph Methylation Within A
www.nature.com/scientificreports OPEN Profling haplotype specifc CpG and CpH methylation within a schizophrenia GWAS locus on chromosome 14 in schizophrenia and healthy subjects Margarita Alfmova*, Nikolay Kondratyev, Arkadiy Golov & Vera Golimbet Interrogating DNA methylation within schizophrenia risk loci holds promise to identify mechanisms by which genes infuence the disease. Based on the hypothesis that allele specifc methylation (ASM) of a single CpG, or perhaps CpH, might mediate or mark the efects of genetic variants on disease risk and phenotypes, we explored haplotype specifc methylation levels of individual cytosines within a genomic region harbouring the BAG5, APOPT1 and KLC1 genes in peripheral blood of schizophrenia patients and healthy controls. Three DNA fragments located in promoter, intronic and intergenic areas were studied by single-molecule real-time bisulfte sequencing enabling the analysis of long reads of DNA with base-pair resolution and the determination of haplotypes directly from sequencing data. Among 1,012 cytosines studied, we did not fnd any site where methylation correlated with the disease or cognitive defcits after correction for multiple testing. At the same time, we determined the methylation profle associated with the schizophrenia risk haplotype within the KLC1 fourth intron and confrmed ASM for cytosines located in the vicinity of rs67899457. These genetically associated DNA methylation variations may be related to the pathophysiological mechanism diferentiating the risk and non-risk haplotypes and merit further investigation. Schizophrenia is a common, highly heritable disorder characterized by positive, negative, and cognitive symp- toms. Large genome-wide association studies (GWAS) of the Psychiatric Genomics Consortium (PGC) have identifed more than 100 genomic regions that are signifcantly associated with schizophrenia1,2. -
Molecular Evolution of the Glycosyltransferase 6 Gene Family in Primates
Hindawi Publishing Corporation Biochemistry Research International Volume 2016, Article ID 9051727, 6 pages http://dx.doi.org/10.1155/2016/9051727 Research Article Molecular Evolution of the Glycosyltransferase 6 Gene Family in Primates Eliane Evanovich,1 Patricia Jeanne de Souza Mendonça-Mattos,1 and Maria Lúcia Harada2 1 Laboratorio´ de Genetica´ Humana e Medica,´ Instituto de Cienciasˆ Biologicas,´ Universidade Federal do Para,´ Belem,´ PA, Brazil 2Laboratorio´ de Biologia Molecular “Francisco Mauro Salzano”, Instituto de Cienciasˆ Biologicas,´ Universidade Federal do Para,´ Belem,´ PA, Brazil Correspondence should be addressed to Eliane Evanovich; [email protected] Received 12 July 2016; Accepted 20 October 2016 Academic Editor: Stefano Pascarella Copyright © 2016 Eliane Evanovich et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Glycosyltransferase 6 gene family includes ABO, Ggta1, iGb3S, and GBGT1 genes and by three putative genes restricted to mammals, GT6m6, GTm6, and GT6m7, only the latter is found in primates. GT6 genes may encode functional and nonfunctional proteins. Ggta1 and GBGT1 genes, for instance, are pseudogenes in catarrhine primates, while iGb3S gene is only inactive in human, bonobo, and chimpanzee. Even inactivated, these genes tend to be conversed in primates. As some of the GT6 genes are related to the susceptibility or resistance to parasites, we investigated (i) the selective pressure on the GT6 paralogs genes in primates; (ii) the basis of the conservation of iGb3S in human, chimpanzee, and bonobo; and (iii) the functional potential of the GBGT1 and GT6m7 in catarrhines. -
Occurrence and Identification of Emeria Species in Broiler Rearing
Tran et al. Journal of Animal Science and Technology (2015) 57:44 DOI 10.1186/s40781-015-0077-x RESEARCH Open Access In silico characterisation, homology modelling and structure-based functional annotation of blunt snout bream (Megalobrama amblycephala) Hsp70 and Hsc70 proteins Ngoc Tuan Tran1,3, Ivan Jakovlić1 and Wei-Min Wang1,2* Abstract Background: Heat shock proteins play an important role in protection from stress stimuli and metabolic insults in almost all organisms. Methods: In this study, computational tools were used to deeply analyse the physicochemical characteristics and, using homology modelling, reliably predict the tertiary structure of the blunt snout bream (Ma-) Hsp70 and Hsc70 proteins. Derived three-dimensional models were then used to predict the function of the proteins. Results: Previously published predictions regarding the protein length, molecular weight, theoretical isoelectric point and total number of positive and negative residues were corroborated. Among the new findings are: the extinction coefficient (33725/33350 and 35090/34840 - Ma-Hsp70/ Ma-Hsc70, respectively), instability index (33.68/35.56 – both stable), aliphatic index (83.44/80.23 – both very stable), half-life estimates (both relatively stable), grand average of hydropathicity (−0.431/-0.473 – both hydrophilic) and amino acid composition (alanine-lysine-glycine/glycine-lysine-aspartic acid were the most abundant, no disulphide bonds, the N-terminal of both proteins was methionine). Homology modelling was performed by SWISS-MODEL program and the proposed model was evaluated as highly reliable based on PROCHECK’s Ramachandran plot, ERRAT, PROVE, Verify 3D, ProQ and ProSA analyses. Conclusions: The research revealed a high structural similarity to Hsp70 and Hsc70 proteins from several taxonomically distant animal species, corroborating a remarkably high level of evolutionary conservation among the members of this protein family. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
Prioritization of Candidate Disease Genes by Combining Topological Similarity and Semantic Similarity ⇑ Bin Liu, Min Jin , Pan Zeng
Journal of Biomedical Informatics 57 (2015) 1–5 Contents lists available at ScienceDirect Journal of Biomedical Informatics journal homepage: www.elsevier.com/locate/yjbin Prioritization of candidate disease genes by combining topological similarity and semantic similarity ⇑ Bin Liu, Min Jin , Pan Zeng College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082, China article info abstract Article history: The identification of gene–phenotype relationships is very important for the treatment of human Received 26 December 2014 diseases. Studies have shown that genes causing the same or similar phenotypes tend to interact with Revised 1 July 2015 each other in a protein–protein interaction (PPI) network. Thus, many identification methods based on Accepted 6 July 2015 the PPI network model have achieved good results. However, in the PPI network, some interactions Available online 11 July 2015 between the proteins encoded by candidate gene and the proteins encoded by known disease genes are very weak. Therefore, some studies have combined the PPI network with other genomic information Keywords: and reported good predictive performances. However, we believe that the results could be further Disease genes improved. In this paper, we propose a new method that uses the semantic similarity between the candi- Random walk Topological similarity date gene and known disease genes to set the initial probability vector of a random walk with a restart Semantic similarity algorithm in a human PPI network. The effectiveness of our method was demonstrated by leave-one-out cross-validation, and the experimental results indicated that our method outperformed other methods. Additionally, our method can predict new causative genes of multifactor diseases, including Parkinson’s disease, breast cancer and obesity. -
A Novel 2.3 Mb Microduplication of 9Q34. 3 Inserted Into 19Q13. 4 in A
Hindawi Publishing Corporation Case Reports in Pediatrics Volume 2012, Article ID 459602, 7 pages doi:10.1155/2012/459602 Case Report A Novel 2.3 Mb Microduplication of 9q34.3 Inserted into 19q13.4 in a Patient with Learning Disabilities Shalinder Singh,1 Fern Ashton,1 Renate Marquis-Nicholson,1 Jennifer M. Love,1 Chuan-Ching Lan,1 Salim Aftimos,2 Alice M. George,1 and Donald R. Love1, 3 1 Diagnostic Genetics, LabPlus, Auckland City Hospital, P.O. Box 110031, Auckland 1148, New Zealand 2 Genetic Health Service New Zealand-Northern Hub, Auckland City Hospital, Private Bag 92024, Auckland 1142, New Zealand 3 School of Biological Sciences, University of Auckland, Private Bag 92019, Auckland 1142, New Zealand Correspondence should be addressed to Donald R. Love, [email protected] Received 1 July 2012; Accepted 27 September 2012 Academic Editors: L. Cvitanovic-Sojat, G. Singer, and V. C. Wong Copyright © 2012 Shalinder Singh et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Insertional translocations in which a duplicated region of one chromosome is inserted into another chromosome are very rare. We report a 16.5-year-old girl with a terminal duplication at 9q34.3 of paternal origin inserted into 19q13.4. Chromosomal analysis revealed the karyotype 46,XX,der(19)ins(19;9)(q13.4;q34.3q34.3)pat. Cytogenetic microarray analysis (CMA) identified a ∼2.3Mb duplication of 9q34.3 → qter, which was confirmed by Fluorescence in situ hybridisation (FISH). -
Supplementary Appendix Table of Contents
Supplementary Appendix This appendix has been provided by the authors to give readers additional information about their work. Table of Contents Supplementary Note ........................................................................................................................... 1 Author contributions ............................................................................................................................... 1 Additional authors from study groups .............................................................................................. 2 Task Force COVID-19 Humanitas ......................................................................................................................................... 2 TASK FORCE COVID-19 HUMANITAS GAVAZZENI & CASTELLI ............................................................................. 3 COVICAT Study Group ............................................................................................................................................................... 4 Pa COVID-19 Study Group ....................................................................................................................................................... 5 Covid-19 Aachen Study (COVAS) .......................................................................................................................................... 5 Norwegian SARS-CoV-2 Study group .................................................................................................................................