Proquest Dissertations
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Investigating the Genetic Basis of Cisplatin-Induced Ototoxicity in Adult South African Patients
--------------------------------------------------------------------------- Investigating the genetic basis of cisplatin-induced ototoxicity in adult South African patients --------------------------------------------------------------------------- by Timothy Francis Spracklen SPRTIM002 SUBMITTED TO THE UNIVERSITY OF CAPE TOWN In fulfilment of the requirements for the degree MSc(Med) Faculty of Health Sciences UNIVERSITY OF CAPE TOWN University18 December of Cape 2015 Town Supervisor: Prof. Rajkumar S Ramesar Co-supervisor: Ms A Alvera Vorster Division of Human Genetics, Department of Pathology, University of Cape Town 1 The copyright of this thesis vests in the author. No quotation from it or information derived from it is to be published without full acknowledgement of the source. The thesis is to be used for private study or non- commercial research purposes only. Published by the University of Cape Town (UCT) in terms of the non-exclusive license granted to UCT by the author. University of Cape Town Declaration I, Timothy Spracklen, hereby declare that the work on which this dissertation/thesis is based is my original work (except where acknowledgements indicate otherwise) and that neither the whole work nor any part of it has been, is being, or is to be submitted for another degree in this or any other university. I empower the university to reproduce for the purpose of research either the whole or any portion of the contents in any manner whatsoever. Signature: Date: 18 December 2015 ' 2 Contents Abbreviations ………………………………………………………………………………….. 1 List of figures …………………………………………………………………………………... 6 List of tables ………………………………………………………………………………….... 7 Abstract ………………………………………………………………………………………… 10 1. Introduction …………………………………………………………………………………. 11 1.1 Cancer …………………………………………………………………………….. 11 1.2 Adverse drug reactions ………………………………………………………….. 12 1.3 Cisplatin …………………………………………………………………………… 12 1.3.1 Cisplatin’s mechanism of action ……………………………………………… 13 1.3.2 Adverse reactions to cisplatin therapy ………………………………………. -
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. -
Effects of Neonatal Stress and Morphine on Murine Hippocampal Gene Expression
0031-3998/11/6904-0285 Vol. 69, No. 4, 2011 PEDIATRIC RESEARCH Printed in U.S.A. Copyright © 2011 International Pediatric Research Foundation, Inc. Effects of Neonatal Stress and Morphine on Murine Hippocampal Gene Expression SANDRA E. JUUL, RICHARD P. BEYER, THEO K. BAMMLER, FEDERICO M. FARIN, AND CHRISTINE A. GLEASON Department of Pediatrics [S.E.J., C.A.G.], Department of Environmental and Occupational Health Sciences [R.P.B., T.K.B., F.M.F.], University of Washington, Seattle, Washington 98195 ABSTRACT: Critically ill preterm infants experience multiple to severe impairment occurring in close to 50% of ex- stressors while hospitalized. Morphine is commonly prescribed to tremely LBW infants (4). Autism, attention deficit disorder, ameliorate their pain and stress. We hypothesized that neonatal and school failure also occur more frequently in NICU stress will have a dose-dependent effect on hippocampal gene survivors (5). Although some degree of impairment might expression, and these effects will be altered by morphine treat- ment. Male C57BL/6 mice were exposed to five treatment condi- be inevitable, it is likely that the stress and treatments these tions between postnatal d 5 and 9: 1) control, 2) mild stress ϩ infants undergo impact neurologic outcome. Improved un- saline, 3) mild stress ϩ morphine, 4) severe stress ϩ saline, and derstanding of these factors will provide the basis of better 5) severe stress ϩ morphine. Hippocampal RNA was extracted treatments and subsequent improvement in outcomes. and analyzed using Affymetrix Mouse Gene 1.0 ST Arrays. Single Many preterm infants receive opiates for sedation or gene analysis and gene set analysis were used to compare groups analgesia during their NICU stay. -
Silkworm Z Chromosome Is Enriched in Testis-Specific Genes
Supporting Information http://www.genetics.org/cgi/content/full/genetics.108.099994/DC1 Silkworm Z Chromosome is Enriched in Testis-Specific Genes K. P. Arunkumar, Kazuei Mita and J. Nagaraju Copyright © 2009 by the Genetics Society of America DOI: 10.1534/genetics.108.099994 2 SI K. Arunkumar et al. File S1 Gene Ontology annotation GO annotation generates a dynamic controlled vocabulary that can be applied to all organisms, even while knowledge of gene and protein roles in cells is still accumulating and changing. To this end, the Seqdblite FASTA sequence flat file was downloaded from the GO database. By running BLAST against Seqdblite, closest homologue was identified. From BLAST output, molecular functions, biological processes and cellular localisation were parsed by building an in-house GO database in MySQL from the GO-term-database flat file, downloaded from Gene Ontology Database Downloads (http://www.godatabase.org/dev/). The Perl-DBI was used to interface with MySQL, to extract the parent terms of each individual GO term that are obtained by parsing BLAST output. The output was then represented graphically. All ESTs were assigned a biological process, molecular function and cellular component using Gene Ontology (GO) database. The closest annotated homologue in the GO database was used for assigning these categories. The results of the GO annotation are graphically represented in Figures S1-3. Many of the gene products were found to be localized in cell (42%). In cell, gene products were predominant in intracellular region (78%) which comprised of localizations in intracellular organelle (38%) and cytoplasm (29%). The other localizations were organelle (29%) followed by protein complex (18%) (Figure S1). -
Enzyme DHRS7
Toward the identification of a function of the “orphan” enzyme DHRS7 Inauguraldissertation zur Erlangung der Würde eines Doktors der Philosophie vorgelegt der Philosophisch-Naturwissenschaftlichen Fakultät der Universität Basel von Selene Araya, aus Lugano, Tessin Basel, 2018 Originaldokument gespeichert auf dem Dokumentenserver der Universität Basel edoc.unibas.ch Genehmigt von der Philosophisch-Naturwissenschaftlichen Fakultät auf Antrag von Prof. Dr. Alex Odermatt (Fakultätsverantwortlicher) und Prof. Dr. Michael Arand (Korreferent) Basel, den 26.6.2018 ________________________ Dekan Prof. Dr. Martin Spiess I. List of Abbreviations 3α/βAdiol 3α/β-Androstanediol (5α-Androstane-3α/β,17β-diol) 3α/βHSD 3α/β-hydroxysteroid dehydrogenase 17β-HSD 17β-Hydroxysteroid Dehydrogenase 17αOHProg 17α-Hydroxyprogesterone 20α/βOHProg 20α/β-Hydroxyprogesterone 17α,20α/βdiOHProg 20α/βdihydroxyprogesterone ADT Androgen deprivation therapy ANOVA Analysis of variance AR Androgen Receptor AKR Aldo-Keto Reductase ATCC American Type Culture Collection CAM Cell Adhesion Molecule CYP Cytochrome P450 CBR1 Carbonyl reductase 1 CRPC Castration resistant prostate cancer Ct-value Cycle threshold-value DHRS7 (B/C) Dehydrogenase/Reductase Short Chain Dehydrogenase Family Member 7 (B/C) DHEA Dehydroepiandrosterone DHP Dehydroprogesterone DHT 5α-Dihydrotestosterone DMEM Dulbecco's Modified Eagle's Medium DMSO Dimethyl Sulfoxide DTT Dithiothreitol E1 Estrone E2 Estradiol ECM Extracellular Membrane EDTA Ethylenediaminetetraacetic acid EMT Epithelial-mesenchymal transition ER Endoplasmic Reticulum ERα/β Estrogen Receptor α/β FBS Fetal Bovine Serum 3 FDR False discovery rate FGF Fibroblast growth factor HEPES 4-(2-Hydroxyethyl)-1-Piperazineethanesulfonic Acid HMDB Human Metabolome Database HPLC High Performance Liquid Chromatography HSD Hydroxysteroid Dehydrogenase IC50 Half-Maximal Inhibitory Concentration LNCaP Lymph node carcinoma of the prostate mRNA Messenger Ribonucleic Acid n.d. -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Proteome-Wide Survey of the Autoimmune Target Repertoire In
www.nature.com/scientificreports OPEN Proteome-wide survey of the autoimmune target repertoire in autoimmune polyendocrine Received: 28 October 2015 Accepted: 23 December 2015 syndrome type 1 Published: 01 February 2016 Nils Landegren1,2,*, Donald Sharon3,4,*, Eva Freyhult2,5,6, Åsa Hallgren1,2, Daniel Eriksson1,2, Per-Henrik Edqvist7, Sophie Bensing8, Jeanette Wahlberg9, Lawrence M. Nelson10, Jan Gustafsson11, Eystein S Husebye12, Mark S Anderson13, Michael Snyder3 & Olle Kämpe1,2 Autoimmune polyendocrine syndrome type 1 (APS1) is a monogenic disorder that features multiple autoimmune disease manifestations. It is caused by mutations in the Autoimmune regulator (AIRE) gene, which promote thymic display of thousands of peripheral tissue antigens in a process critical for establishing central immune tolerance. We here used proteome arrays to perform a comprehensive study of autoimmune targets in APS1. Interrogation of established autoantigens revealed highly reliable detection of autoantibodies, and by exploring the full panel of more than 9000 proteins we further identified MAGEB2 and PDILT as novel major autoantigens in APS1. Our proteome-wide assessment revealed a marked enrichment for tissue-specific immune targets, mirroringAIRE ’s selectiveness for this category of genes. Our findings also suggest that only a very limited portion of the proteome becomes targeted by the immune system in APS1, which contrasts the broad defect of thymic presentation associated with AIRE-deficiency and raises novel questions what other factors are needed for break of tolerance. Autoimmune responses can ultimately be defined at the molecular level by the specific interaction between T- or B-cell receptors and a distinct self-molecule. In tissue-specific autoimmune disorders the immune system typically target molecules that are exclusively expressed in the affected tissue and involve a combined cellular and humoral response with cognate specificities1–3. -
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 -
Supplementary Material
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Page 1 / 45 SUPPLEMENTARY MATERIAL Appendix A1: Neuropsychological protocol. Appendix A2: Description of the four cases at the transitional stage. Table A1: Clinical status and center proportion in each batch. Table A2: Complete output from EdgeR. Table A3: List of the putative target genes. Table A4: Complete output from DIANA-miRPath v.3. Table A5: Comparison of studies investigating miRNAs from brain samples. Figure A1: Stratified nested cross-validation. Figure A2: Expression heatmap of miRNA signature. Figure A3: Bootstrapped ROC AUC scores. Figure A4: ROC AUC scores with 100 different fold splits. Figure A5: Presymptomatic subjects probability scores. Figure A6: Heatmap of the level of enrichment in KEGG pathways. Kmetzsch V, et al. J Neurol Neurosurg Psychiatry 2021; 92:485–493. doi: 10.1136/jnnp-2020-324647 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Neurol Neurosurg Psychiatry Appendix A1. Neuropsychological protocol The PREV-DEMALS cognitive evaluation included standardized neuropsychological tests to investigate all cognitive domains, and in particular frontal lobe functions. The scores were provided previously (Bertrand et al., 2018). Briefly, global cognitive efficiency was evaluated by means of Mini-Mental State Examination (MMSE) and Mattis Dementia Rating Scale (MDRS). Frontal executive functions were assessed with Frontal Assessment Battery (FAB), forward and backward digit spans, Trail Making Test part A and B (TMT-A and TMT-B), Wisconsin Card Sorting Test (WCST), and Symbol-Digit Modalities test. -
75 2. INTRODUCTION Triple-Negative Breast Cancer (TNBC)
[Frontiers in Bioscience, Scholar, 11, 75-88, March 1, 2019] The persisting puzzle of racial disparity in triple negative breast cancer: looking through a new lens Chakravarthy Garlapati1, Shriya Joshi1, Bikram Sahoo1, Shobhna Kapoor2, Ritu Aneja1 1Department of Biology, Georgia State University, Atlanta, GA, USA, 2Department of Chemistry, Indian Institute of Technology Bombay, Powai, India TABLE OF CONTENTS 1. Abstract 2. Introduction 3. Dissecting the TNBC racially disparate burden 3.1. Does race influence TNBC onset and progression? 3.2. Tumor microenvironment in TNBC and racial disparity 3.3. Differential gene signatures and pathways in racially distinct TNBC 3.4. Our Perspective: Looking racial disparity through a new lens 4. Conclusion 5. Acknowledgement 6. References 1. ABSTRACT 2. INTRODUCTION Triple-negative breast cancer (TNBC) Triple-negative breast cancer (TNBC), is characterized by the absence of estrogen a subtype of breast cancer (BC), accounts for and progesterone receptors and absence 15-20% of all BC diagnoses in the US. It has of amplification of human epidermal growth been recognized that women of African descent factor receptor (HER2). This disease has no are twice as likely to develop TNBC than approved treatment with a poor prognosis women of European descent (1). As the name particularly in African-American (AA) as foretells, TNBCs lack estrogen, progesterone, compared to European-American (EA) and human epidermal growth factor receptors. patients. Gene ontology analysis showed Unfortunately, TNBCs are defined by what they specific gene pathways that are differentially “lack” rather than what they “have” and thus this regulated and gene signatures that are negative nomenclature provides no actionable differentially expressed in AA as compared to information on “druggable” targets. -
Supplemental Figure and Table Legends
Supplemental figure and table legends Supplementary Figure 1: KIAA1841 is well conserved among vertebrates. NCBI HomoloGene pairwise alignment scores of human KIAA1841 sequence compared to other vertebrate orthologs. Supplementary Figure 2: µ-germline transcripts (GLT) and AID mRNA expression are not affected by overexpression of KIAA1841. Splenic B cells were isolated from wild-type mice, and transduced with retroviral vector control (pMIG) or a vector expressing KIAA1841. Levels of µ-GLT and AID mRNA were determined at 72h post-infection by RT-qPCR, and normalized to -actin mRNA and the pMIG control. The mean of three independent experiments +/- SD is shown. NS, p = not significant, p 0.05, two-tailed paired student’s t-test. Supplementary Figure 3: Overexpression of untagged and Xpress-tagged KIAA1841 does not affect cell proliferation. Splenic B cells were isolated from wild-type mice, stimulated with LPS+IL4, and transduced with retroviral vector control (pMIG) or a vector expressing KIAA1841 or Xpress (Xp)-tagged KIAA1841. Cells are labeled with seminaphthorhodafluor (SNARF) cell tracking dye and SNARF intensity was measured at 0h, 24h, and 48h after retroviral infection. Histograms of transduced cells (GFP+) for pMIG control, KIAA1841 and Xp-KIAA1841 were superimposed at each time point. Three independent retroviral infection experiments are shown. Supplementary Figure 4: Sequence alignment of the putative SANT domain of KIAA1841 with the SANT domain of SWI3. Alignment was performed using ClustalOmega; *, conserved residue, :, strongly similar residues, ., weakly similar residues. Numbers indicate amino acid residues in each sequence. Helix 3, which has been reported to be important for the chromatin remodeling function of SWI3 (Boyer et. -
Table S2.A-B. Differentially Expressed Genes Following Activation of OGR1 by Acidic Ph in Mouse Peritoneal Macrophages Ph 6.7 24 H
Table S2.A-B. Differentially expressed genes following activation of OGR1 by acidic pH in mouse peritoneal macrophages pH 6.7 24 h. A. Gene List, including gene process B. Complete Table (Excel). Rank Symbol Full name Involved in: WT/KO (Reference: Gene Card, NCBI, JAX, Uniprot, Ratio unless otherwise indicated) 1. Cyp11a1 Cholesterol side chain cleavage Cholesterol, lipid or steroid metabolism. enzyme, mitochondrial (Cytochrome Catalyses the side-chain cleavage reaction of P450 11A1) cholesterol to pregnenolone. 2. Sparc Secreted acidic cysteine rich Cell adhesion, wound healing, ECM glycoprotein (Osteonectin, Basement interactions, bone mineralization. Activates membrane protein 40 (BM-40)) production and activity of matrix metalloproteinases. 3. Tpsb2 Tryptase beta-2 or tryptase II (trypsin- Inflammatory response, proteolysis. like serine protease) 4. Inhba Inhibin Beta A or Activin beta-A chain Immune response and mediators of inflammation and tissue repair.2-5 5. Cpe Carboxypeptidase E Insulin processing, proteolysis. 6. Igfbp7 Insulin-like growth factor-binding Stimulates prostacyclin (PGI2) production and protein 7 cell adhesion. Induced by retinoic acid. 7. Clu Clusterin Chaperone-mediated protein folding, positive regulation of NF-κB transcription factor activity. Protects cells against apoptosis and cytolysis by complement. Promotes proteasomal degradation of COMMD1 and IKBKB. 8. Cma1 Chymase 1 Cellular response to glucose stimulus, interleukin-1 beta biosynthetic process. Possible roles: vasoactive peptide generation, extracellular matrix degradation. 9. Sfrp4 Secreted frizzled-related protein 4 Negative regulation of Wnt signalling. Increases apoptosis during ovulation. Phosphaturic effects by specifically inhibiting sodium-dependent phosphate uptake. 10. Ephx2 Bifunctional epoxide hydrolase Cholesterol homeostasis, xenobiotic metabolism by degrading potentially toxic epoxides.