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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. -
Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency
Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency By Fabian Yu A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by Fabian PS Yu 2018 Understanding the Molecular Pathobiology of Acid Ceramidase Deficiency Fabian Yu Doctor of Philosophy Institute of Medical Science University of Toronto 2018 Abstract Farber disease (FD) is a devastating Lysosomal Storage Disorder (LSD) caused by mutations in ASAH1, resulting in acid ceramidase (ACDase) deficiency. ACDase deficiency manifests along a broad spectrum but in its classical form patients die during early childhood. Due to the scarcity of cases FD has largely been understudied. To circumvent this, our lab previously generated a mouse model that recapitulates FD. In some case reports, patients have shown signs of visceral involvement, retinopathy and respiratory distress that may lead to death. Beyond superficial descriptions in case reports, there have been no in-depth studies performed to address these conditions. To improve the understanding of FD and gain insights for evaluating future therapies, we performed comprehensive studies on the ACDase deficient mouse. In the visual system, we reported presence of progressive uveitis. Further tests revealed cellular infiltration, lipid buildup and extensive retinal pathology. Mice developed retinal dysplasia, impaired retinal response and decreased visual acuity. Within the pulmonary system, lung function tests revealed a decrease in lung compliance. Mice developed chronic lung injury that was contributed by cellular recruitment, and vascular leakage. Additionally, we report impairment to lipid homeostasis in the lungs. ii To understand the liver involvement in FD, we characterized the pathology and performed transcriptome analysis to identify gene and pathway changes. -
Genetic Ablation of Acid Ceramidase in Krabbe Disease Confirms the Psychosine Hypothesis and Identifies a New Therapeutic Target
Genetic ablation of acid ceramidase in Krabbe disease confirms the psychosine hypothesis and identifies a new therapeutic target Yedda Lia, Yue Xub, Bruno A. Beniteza, Murtaza S. Nagreec, Joshua T. Dearborna, Xuntian Jianga, Miguel A. Guzmand, Josh C. Woloszynekb, Alex Giaramitab, Bryan K. Yipb, Joseph Elsberndb, Michael C. Babcockb, Melanie Lob, Stephen C. Fowlere, David F. Wozniakf, Carole A. Voglerd, Jeffrey A. Medinc,g, Brett E. Crawfordb, and Mark S. Sandsa,h,1 aDepartment of Medicine, Washington University School of Medicine, St. Louis, MO 63110; bDepartment of Research, BioMarin Pharmaceutical Inc., Novato, CA 94949; cDepartment of Medical Biophysics, University of Toronto, Toronto, ON M5S, Canada; dDepartment of Pathology, St. Louis University School of Medicine, St. Louis, MO 63104; eDepartment of Pharmacology and Toxicology, University of Kansas, Lawrence, KS 66045; fDepartment of Psychiatry, Washington University School of Medicine, St. Louis, MO 63110; gPediatrics and Biochemistry, Medical College of Wisconsin, Milwaukee, WI 53226; and hDepartment of Genetics, Washington University School of Medicine, St. Louis, MO 63110 Edited by William S. Sly, Saint Louis University School of Medicine, St. Louis, MO, and approved August 16, 2019 (received for review July 15, 2019) Infantile globoid cell leukodystrophy (GLD, Krabbe disease) is a generated catabolically through the deacylation of galactosylceramide fatal demyelinating disorder caused by a deficiency in the lyso- by acid ceramidase (ACDase). This effectively dissociates GALC somal enzyme galactosylceramidase (GALC). GALC deficiency leads deficiency from psychosine accumulation, allowing us to test the to the accumulation of the cytotoxic glycolipid, galactosylsphingosine long-standing psychosine hypothesis. We demonstrate that genetic (psychosine). Complementary evidence suggested that psychosine loss of ACDase activity [Farber disease (FD) (8)] in the twitcher is synthesized via an anabolic pathway. -
Investigation of Candidate Genes and Mechanisms Underlying Obesity
Prashanth et al. BMC Endocrine Disorders (2021) 21:80 https://doi.org/10.1186/s12902-021-00718-5 RESEARCH ARTICLE Open Access Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules G. Prashanth1 , Basavaraj Vastrad2 , Anandkumar Tengli3 , Chanabasayya Vastrad4* and Iranna Kotturshetti5 Abstract Background: Obesity associated type 2 diabetes mellitus is a metabolic disorder ; however, the etiology of obesity associated type 2 diabetes mellitus remains largely unknown. There is an urgent need to further broaden the understanding of the molecular mechanism associated in obesity associated type 2 diabetes mellitus. Methods: To screen the differentially expressed genes (DEGs) that might play essential roles in obesity associated type 2 diabetes mellitus, the publicly available expression profiling by high throughput sequencing data (GSE143319) was downloaded and screened for DEGs. Then, Gene Ontology (GO) and REACTOME pathway enrichment analysis were performed. The protein - protein interaction network, miRNA - target genes regulatory network and TF-target gene regulatory network were constructed and analyzed for identification of hub and target genes. The hub genes were validated by receiver operating characteristic (ROC) curve analysis and RT- PCR analysis. Finally, a molecular docking study was performed on over expressed proteins to predict the target small drug molecules. Results: A total of 820 DEGs were identified between -
Expression Profiling of KLF4
Expression Profiling of KLF4 AJCR0000006 Supplemental Data Figure S1. Snapshot of enriched gene sets identified by GSEA in Klf4-null MEFs. Figure S2. Snapshot of enriched gene sets identified by GSEA in wild type MEFs. 98 Am J Cancer Res 2011;1(1):85-97 Table S1: Functional Annotation Clustering of Genes Up-Regulated in Klf4 -Null MEFs ILLUMINA_ID Gene Symbol Gene Name (Description) P -value Fold-Change Cell Cycle 8.00E-03 ILMN_1217331 Mcm6 MINICHROMOSOME MAINTENANCE DEFICIENT 6 40.36 ILMN_2723931 E2f6 E2F TRANSCRIPTION FACTOR 6 26.8 ILMN_2724570 Mapk12 MITOGEN-ACTIVATED PROTEIN KINASE 12 22.19 ILMN_1218470 Cdk2 CYCLIN-DEPENDENT KINASE 2 9.32 ILMN_1234909 Tipin TIMELESS INTERACTING PROTEIN 5.3 ILMN_1212692 Mapk13 SAPK/ERK/KINASE 4 4.96 ILMN_2666690 Cul7 CULLIN 7 2.23 ILMN_2681776 Mapk6 MITOGEN ACTIVATED PROTEIN KINASE 4 2.11 ILMN_2652909 Ddit3 DNA-DAMAGE INDUCIBLE TRANSCRIPT 3 2.07 ILMN_2742152 Gadd45a GROWTH ARREST AND DNA-DAMAGE-INDUCIBLE 45 ALPHA 1.92 ILMN_1212787 Pttg1 PITUITARY TUMOR-TRANSFORMING 1 1.8 ILMN_1216721 Cdk5 CYCLIN-DEPENDENT KINASE 5 1.78 ILMN_1227009 Gas2l1 GROWTH ARREST-SPECIFIC 2 LIKE 1 1.74 ILMN_2663009 Rassf5 RAS ASSOCIATION (RALGDS/AF-6) DOMAIN FAMILY 5 1.64 ILMN_1220454 Anapc13 ANAPHASE PROMOTING COMPLEX SUBUNIT 13 1.61 ILMN_1216213 Incenp INNER CENTROMERE PROTEIN 1.56 ILMN_1256301 Rcc2 REGULATOR OF CHROMOSOME CONDENSATION 2 1.53 Extracellular Matrix 5.80E-06 ILMN_2735184 Col18a1 PROCOLLAGEN, TYPE XVIII, ALPHA 1 51.5 ILMN_1223997 Crtap CARTILAGE ASSOCIATED PROTEIN 32.74 ILMN_2753809 Mmp3 MATRIX METALLOPEPTIDASE -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. 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. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
Transcriptome Alteration in the Diabetic Heart by Rosiglitazone: Implications for Cardiovascular Mortality
Transcriptome Alteration in the Diabetic Heart by Rosiglitazone: Implications for Cardiovascular Mortality Kitchener D. Wilson1,3., Zongjin Li1., Roger Wagner2, Patrick Yue2, Phillip Tsao2, Gergana Nestorova4, Mei Huang1, David L. Hirschberg4, Paul G. Yock2,3, Thomas Quertermous2, Joseph C. Wu1,2* 1 Department of Radiology, Stanford University School of Medicine, Stanford, California, United States of America, 2 Department of Medicine, Division of Cardiology, Stanford University School of Medicine, Stanford, California, United States of America, 3 Department of Bioengineering, Stanford University School of Medicine, Stanford, California, United States of America, 4 Human Immune Monitoring Center, Stanford University School of Medicine, Stanford, California, United States of America Abstract Background: Recently, the type 2 diabetes medication, rosiglitazone, has come under scrutiny for possibly increasing the risk of cardiac disease and death. To investigate the effects of rosiglitazone on the diabetic heart, we performed cardiac transcriptional profiling and imaging studies of a murine model of type 2 diabetes, the C57BL/KLS-leprdb/leprdb (db/db) mouse. Methods and Findings: We compared cardiac gene expression profiles from three groups: untreated db/db mice, db/db mice after rosiglitazone treatment, and non-diabetic db/+ mice. Prior to sacrifice, we also performed cardiac magnetic resonance (CMR) and echocardiography. As expected, overall the db/db gene expression signature was markedly different from control, but to our surprise was -
Molecular Mechanism of Activation of the Immunoregulatory Amidase NAAA
Molecular mechanism of activation of the immunoregulatory amidase NAAA Alexei Gorelika,1, Ahmad Gebaia,1, Katalin Illesa, Daniele Piomellib,c,d, and Bhushan Nagara,2 aDepartment of Biochemistry, McGill University, Montreal, H3G0B1, Canada; bDepartment of Anatomy and Neurobiology, University of California, Irvine, CA 92697; cDepartment of Biochemistry, University of California, Irvine, CA 92697; and dDepartment of Pharmacology, University of California, Irvine, CA 92697 Edited by David Baker, University of Washington, Seattle, WA, and approved September 13, 2018 (received for review July 8, 2018) Palmitoylethanolamide is a bioactive lipid that strongly alleviates No NAAA-targeting compound has yet reached clinical trials. pain and inflammation in animal models and in humans. Its On the other hand, FAAH inhibitors are currently being tested signaling activity is terminated through degradation by N- in humans for the treatment of anxiety and depression (18). acylethanolamine acid amidase (NAAA), a cysteine hydrolase These properties are mediated by the activity of the FAAH expressed at high levels in immune cells. Pharmacological inhibi- substrate anandamide on cannabinoid receptors (18). Whereas tors of NAAA activity exert profound analgesic and antiinflam- FAAH hydrolyzes long-chain polyunsaturated NAEs, including matory effects in rodent models, pointing to this protein as a anandamide, more efficiently than short unsaturated ones such potential target for therapeutic drug discovery. To facilitate these as PEA (34), NAAA demonstrates an opposite substrate preference efforts and to better understand the molecular mechanism of ac- in vivo (27, 28, 31, 33) and in vitro (35, 36), with PEA being tion of NAAA, we determined crystal structures of this enzyme in its optimal substrate (15, 37). -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Glucocerebrosidase 2 Gene Deletion Rescues Type 1 Gaucher Disease
Glucocerebrosidase 2 gene deletion rescues type 1 Gaucher disease Pramod K. Mistrya,1, Jun Liua,2, Li Sunb,c,2, Wei-Lien Chuangd, Tony Yuenb,c,e, Ruhua Yanga, Ping Lub,c, Kate Zhangd, Jianhua Lib,c, Joan Keutzerd, Agnes Stachnikb,c, Albert Mennonea, James L. Boyera, Dhanpat Jaina, Roscoe O. Bradyf, Maria I. Newb,e,1, and Mone Zaidib,c,1 aDepartment of Medicine, Yale School of Medicine, New Haven, CT 06520; bMount Sinai Bone Program, cDepartment of Medicine, and eDepartment of Pediatrics, Mount Sinai School of Medicine, New York, NY 10029; dGenzyme Sanofi, Framingham, MA 01701; and fNational Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20824 Contributed by Maria I. New, February 19, 2014 (sent for review December 11, 2013) The inherited deficiency of the lysosomal glucocerebrosidase basis of phenotypic diversity, unravel disease mechanism, and (GBA) due to mutations in the GBA gene results in Gaucher disease develop therapies have prompted the generation of mouse (GD). A vast majority of patients present with nonneuronopathic, models that recapitulate human GD1 (7–9). To this end, we have + type 1 GD (GD1). GBA deficiency causes the accumulation of two developed a GD1 mouse, Mx1–Cre :GD1, in which the Gba gene key sphingolipids, glucosylceramide (GL-1) and glucosylsphingo- is deleted in hematopoietic and mesenchymal lineage cells (4, 10, sine (LysoGL-1), classically noted within the lysosomes of mono- 11). This mouse displays hepatosplenomegaly, cytopenia, osteope- nuclear phagocytes. How metabolites of GL-1 or LysoGL-1 produced nia, Th1/Th2 hypercytokinemia, and an array of defects in early T- by extralysosomal glucocerebrosidase GBA2 contribute to the GD1 cell maturation, B-cell recruitment, and antigen presentation (4, 10). -
ASAH1 Variant Causing a Mild SMA Phenotype with No Myoclonic Epilepsy: a Clinical, Biochemical and Molecular Study
European Journal of Human Genetics (2016) 24, 1578–1583 & 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/16 www.nature.com/ejhg ARTICLE ASAH1 variant causing a mild SMA phenotype with no myoclonic epilepsy: a clinical, biochemical and molecular study Massimiliano Filosto*,1, Massimo Aureli2, Barbara Castellotti3, Fabrizio Rinaldi1, Domitilla Schiumarini2, Manuela Valsecchi2, Susanna Lualdi4, Raffaella Mazzotti4, Viviana Pensato3, Silvia Rota1, Cinzia Gellera3, Mirella Filocamo4 and Alessandro Padovani1 ASAH1 gene encodes for acid ceramidase that is involved in the degradation of ceramide into sphingosine and free fatty acids within lysosomes. ASAH1 variants cause both the severe and early-onset Farber disease and rare cases of spinal muscular atrophy (SMA) with progressive myoclonic epilepsy (SMA-PME), phenotypically characterized by childhood onset of proximal muscle weakness and atrophy due to spinal motor neuron degeneration followed by occurrence of severe and intractable myoclonic seizures and death in the teenage years. We studied two subjects, a 30-year-old pregnant woman and her 17-year-old sister, affected with a very slowly progressive non-5q SMA since childhood. No history of seizures or myoclonus has been reported and EEG was unremarkable. The molecular study of ASAH1 gene showed the presence of the homozygote nucleotide variation c.124A4G (r.124a4g) that causes the amino acid substitution p.Thr42Ala. Biochemical evaluation of cultured fibroblasts showed both reduction in ceramidase activity and accumulation of ceramide compared with the normal control. This study describes for the first time the association between ASAH1 variants and an adult SMA phenotype with no myoclonic epilepsy nor death in early age, thus expanding the phenotypic spectrum of ASAH1-related SMA. -
Perkinelmer Genomics to Request the Saliva Swab Collection Kit for Patients That Cannot Provide a Blood Sample As Whole Blood Is the Preferred Sample
Progressive Myoclonic Epilepsy Panel Test Code D4004 Test Summary This test analyzes 18 genes that have been associated with Progressive Myoclonic Epilepsy Turn-Around-Time (TAT)* 3 - 5 weeks Acceptable Sample Types DNA, Isolated Dried Blood Spots Saliva Whole Blood (EDTA) Acceptable Billing Types Self (patient) Payment Institutional Billing Commercial Insurance Indications for Testing The early way to tell the difference is an EEG with background slowing. Symptoms like stimulus induced myoclonic jerks, cognitive decline and motor slowing, generalized tonic-clonic seizures, or visual/occipital seizures help narrow the diagnosis. Most importantly, the presence of slowing on the EEG should raise suspicion for PME and, if present, lead to further testing, including genetic and enzyme testing. Test Description This panel analyzes 18 genes that have been associated with Progressive Myoclonic Epilepsy and/or disorders associated with epilepsy. Both sequencing and deletion/duplication (CNV) analysis will be performed on the coding regions of all genes included (unless otherwise marked). All analysis is performed utilizing Next Generation Sequencing (NGS) technology. CNV analysis is designed to detect the majority of deletions and duplications of three exons or greater in size. Smaller CNV events may also be detected and reported, but additional follow-up testing is recommended if a smaller CNV is suspected. All variants are classified according to ACMG guidelines. Condition Description Progressive myoclonic epilepsies (PME) are a group of more than 10 rare types of epilepsy that are “progressive.” People with PME have a decline in motor skills, balance and cognitive function over time. Myoclonus indicates frequent muscle jerks, both spontaneous and often stimulus induced.