Comparative Transcriptome Analyses Define Genes and Gene Modules
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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. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Association of a Matrix Metallopeptidase 1 Gene Polymorphism with Long-Term Outcome of Thoracic Aortic Aneurysm
INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE 29: 125-132, 2012 Association of a matrix metallopeptidase 1 gene polymorphism with long-term outcome of thoracic aortic aneurysm KIMIHIKO KATO1,2, YOSHIYUKI TOKUDA3, NAOHIKO INAGAKI4, TETSURO YOSHIDA5, TETSUO FUJIMAKI5, MITSUTOSHI OGURI6, TAKESHI HIBINO4, KIYOSHI YOKOI4, TOYOAKI MUROHARA7 and YOSHIJI YAMADA2 1Meitoh Hospital, Nagoya; 2Department of Human Functional Genomics, Life Science Research Center, Mie University, Tsu, Mie 514-8507; 3Department of Cardiovascular Surgery, Chubu-Rosai Hospital, Nagoya; 4Department of Cardiovascular Medicine, Gifu Prefectural Tajimi Hospital, Tajimi; 5Department of Cardiovascular Medicine, Inabe General Hospital, Inabe; 6Department of Cardiology, Japanese Red Cross Nagoya First Hospital, Nagoya; 7Department of Cardiology, Nagoya University Graduate School of Medicine, Nagoya, Japan Received July 19, 2011; Accepted September 12, 2011 DOI: 10.3892/ijmm.2011.804 Abstract. Although genetic variants are thought to contribute Introduction to the development of thoracic aortic aneurysm including dissection (TAA), it remains unclear whether gene polymor- Thoracic aortic aneurysm including dissection (TAA) is a phisms are associated with the long-term outcome of TAA. The serious condition that results from aortic atherosclerosis and is purpose of the present study was to identify genetic variants a leading cause of mortality (1). Recent studies on the genetic associated with the long-term outcome of medically treated basis of familial TAA have focused on its relation to systemic patients with TAA. A total of 103 medically-treated patients connective tissue disorders such as the Marfan syndrome (2) with TAA (13 aneurysms and 90 dissections) were retrospec- and the Ehlers-Danlos syndrome (3). However, up to 19% tively studied for their outcomes (mean follow-up period, 24 of individuals with non-syndromic TAA referred for surgery months). -
CREB-Dependent Transcription in Astrocytes: Signalling Pathways, Gene Profiles and Neuroprotective Role in Brain Injury
CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Tesis doctoral Luis Pardo Fernández Bellaterra, Septiembre 2015 Instituto de Neurociencias Departamento de Bioquímica i Biologia Molecular Unidad de Bioquímica y Biologia Molecular Facultad de Medicina CREB-dependent transcription in astrocytes: signalling pathways, gene profiles and neuroprotective role in brain injury. Memoria del trabajo experimental para optar al grado de doctor, correspondiente al Programa de Doctorado en Neurociencias del Instituto de Neurociencias de la Universidad Autónoma de Barcelona, llevado a cabo por Luis Pardo Fernández bajo la dirección de la Dra. Elena Galea Rodríguez de Velasco y la Dra. Roser Masgrau Juanola, en el Instituto de Neurociencias de la Universidad Autónoma de Barcelona. Doctorando Directoras de tesis Luis Pardo Fernández Dra. Elena Galea Dra. Roser Masgrau In memoriam María Dolores Álvarez Durán Abuela, eres la culpable de que haya decidido recorrer el camino de la ciencia. Que estas líneas ayuden a conservar tu recuerdo. A mis padres y hermanos, A Meri INDEX I Summary 1 II Introduction 3 1 Astrocytes: physiology and pathology 5 1.1 Anatomical organization 6 1.2 Origins and heterogeneity 6 1.3 Astrocyte functions 8 1.3.1 Developmental functions 8 1.3.2 Neurovascular functions 9 1.3.3 Metabolic support 11 1.3.4 Homeostatic functions 13 1.3.5 Antioxidant functions 15 1.3.6 Signalling functions 15 1.4 Astrocytes in brain pathology 20 1.5 Reactive astrogliosis 22 2 The transcription -
Agricultural University of Athens
ΓΕΩΠΟΝΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΤΩΝ ΖΩΩΝ ΤΜΗΜΑ ΕΠΙΣΤΗΜΗΣ ΖΩΙΚΗΣ ΠΑΡΑΓΩΓΗΣ ΕΡΓΑΣΤΗΡΙΟ ΓΕΝΙΚΗΣ ΚΑΙ ΕΙΔΙΚΗΣ ΖΩΟΤΕΧΝΙΑΣ ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ ΑΘΗΝΑ 2020 ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Genome-wide association analysis and gene network analysis for (re)production traits in commercial broilers ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ Τριμελής Επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Επταμελής εξεταστική επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Πηνελόπη Μπεμπέλη (Καθ. ΓΠΑ) Δημήτριος Βλαχάκης (Επ. Καθ. ΓΠΑ) Ευάγγελος Ζωίδης (Επ.Καθ. ΓΠΑ) Γεώργιος Θεοδώρου (Επ.Καθ. ΓΠΑ) 2 Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Περίληψη Σκοπός της παρούσας διδακτορικής διατριβής ήταν ο εντοπισμός γενετικών δεικτών και υποψηφίων γονιδίων που εμπλέκονται στο γενετικό έλεγχο δύο τυπικών πολυγονιδιακών ιδιοτήτων σε κρεοπαραγωγικά ορνίθια. Μία ιδιότητα σχετίζεται με την ανάπτυξη (σωματικό βάρος στις 35 ημέρες, ΣΒ) και η άλλη με την αναπαραγωγική -
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SAN TA C RUZ BI OTEC HNOL OG Y, INC . TBL3 (N-15): sc-160853 BACKGROUND APPLICATIONS Transducin β-like protein 3 (TBL3), also known as WD-repeat protein SAZD, TBL3 (N-15) is recommended for detection of TBL3 of mouse, rat and human is an 808 amino acid protein and is a member of the WD40 repeat-containing origin by Western Blotting (starting dilution 1:200, dilution range 1:100- protein family. Localized to the nucleus, TBL3 contains 13 WD repeats, a 1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml of motif known to mediate protein-protein interactions. The large group of cell lysate)], immunofluorescence (starting dilution 1:50, dilution range 1:50- WD40 repeat family of proteins are suggested to be involved in signal trans - 1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- duction, RNA processing, gene regulation, vesicular trafficking, cytoskeletal 1:3000); non cross-reactive with TBL1 or TBL2. assembly and may play a role in the control of cytotypic differentiation. The TBL3 (N-15) is also recommended for detection of TBL3 in additional species, gene encoding TBL3 contains multiple polyadenylation sites and is located including equine, canine and bovine. on human chromosome 16, which encodes over 900 genes and comprises nearly 3% of the human genome. The GAN gene is located on chromosome Suitable for use as control antibody for TBL3 siRNA (h): sc-93384, TBL3 16 and, with mutation, may lead to giant axonal neuropathy, a nervous sys - siRNA (m): sc-154121, TBL3 shRNA Plasmid (h): sc-93384-SH, TBL3 shRNA tem disorder characterized by increasing malfunction with growth. -
Identification of Genomic Alterations in Castration Resistant Prostate Cancer Using Next Generation Sequencing
Identification of Genomic Alterations in Castration Resistant Prostate Cancer using Next Generation Sequencing Thesis Submitted for a Doctoral Degree in Natural Sciences (Dr. rer. nat) Faculty of Mathematics and Natural Sciences Rheinische Friedrich-Wilhelms- Submitted by Roopika Menon from Chandigarh, India Bonn 2013 Prepared with the consent of the Faculty of Mathematics and Natural Sciences at the Rheinische Friedrich-Wilhelms- 1. Reviewer: Prof. Dr. Sven Perner 2. Reviewer: Prof. Dr. Hubert Schorle Date of examination: 19 November 2013 Year of Publication: 2014 Declaration I solemnly declare that the work submitted here is the result of my own investigation, except where otherwise stated. This work has not been submitted to any other University or Institute towards the partial fulfillment of any degree. ____________________________________________________________________ Roopika Menon; Author Acknowledgements This thesis would not have been possible without the help and support of many people. I would like to dedicate this thesis to all the people who have helped make this dream a reality. This thesis would have not been possible without the patience, support and guidance of my supervisor, Prof. Dr. Sven Perner. It has truly been an honor to be his first PhD student. He has both consciously and unconsciously made me into the researcher that I am today. My PhD experience has truly been the ‘best’ because of his time, ideas, funding and most importantly his incredible sense of humor. He encouraged and gave me the opportunity to travel around the world to develop as a scientist. I cannot thank him enough for this immense opportunity, which stands as a stepping-stone to my career in science. -
Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility. -
Genome-Wide Gene Expression Profiling of Randall's Plaques In
CLINICAL RESEARCH www.jasn.org Genome-Wide Gene Expression Profiling of Randall’s Plaques in Calcium Oxalate Stone Formers † † Kazumi Taguchi,* Shuzo Hamamoto,* Atsushi Okada,* Rei Unno,* Hideyuki Kamisawa,* Taku Naiki,* Ryosuke Ando,* Kentaro Mizuno,* Noriyasu Kawai,* Keiichi Tozawa,* Kenjiro Kohri,* and Takahiro Yasui* *Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; and †Department of Urology, Social Medical Corporation Kojunkai Daido Hospital, Daido Clinic, Nagoya, Japan ABSTRACT Randall plaques (RPs) can contribute to the formation of idiopathic calcium oxalate (CaOx) kidney stones; however, genes related to RP formation have not been identified. We previously reported the potential therapeutic role of osteopontin (OPN) and macrophages in CaOx kidney stone formation, discovered using genome-recombined mice and genome-wide analyses. Here, to characterize the genetic patho- genesis of RPs, we used microarrays and immunohistology to compare gene expression among renal papillary RP and non-RP tissues of 23 CaOx stone formers (SFs) (age- and sex-matched) and normal papillary tissue of seven controls. Transmission electron microscopy showed OPN and collagen expression inside and around RPs, respectively. Cluster analysis revealed that the papillary gene expression of CaOx SFs differed significantly from that of controls. Disease and function analysis of gene expression revealed activation of cellular hyperpolarization, reproductive development, and molecular transport in papillary tissue from RPs and non-RP regions of CaOx SFs. Compared with non-RP tissue, RP tissue showed upregulation (˃2-fold) of LCN2, IL11, PTGS1, GPX3,andMMD and downregulation (0.5-fold) of SLC12A1 and NALCN (P,0.01). In network and toxicity analyses, these genes associated with activated mitogen- activated protein kinase, the Akt/phosphatidylinositol 3-kinase pathway, and proinflammatory cytokines that cause renal injury and oxidative stress. -
Integrated Functional Genomic Analysis Enables Annotation of Kidney Genome-Wide Association Study Loci
BASIC RESEARCH www.jasn.org Integrated Functional Genomic Analysis Enables Annotation of Kidney Genome-Wide Association Study Loci Karsten B. Sieber,1 Anna Batorsky,2 Kyle Siebenthall,2 Kelly L. Hudkins,3 Jeff D. Vierstra,2 Shawn Sullivan,4 Aakash Sur,4,5 Michelle McNulty,6 Richard Sandstrom,2 Alex Reynolds,2 Daniel Bates,2 Morgan Diegel,2 Douglass Dunn,2 Jemma Nelson,2 Michael Buckley,2 Rajinder Kaul,2 Matthew G. Sampson,6 Jonathan Himmelfarb,7,8 Charles E. Alpers,3,8 Dawn Waterworth,1 and Shreeram Akilesh3,8 Due to the number of contributing authors, the affiliations are listed at the end of this article. ABSTRACT Background Linking genetic risk loci identified by genome-wide association studies (GWAS) to their causal genes remains a major challenge. Disease-associated genetic variants are concentrated in regions con- taining regulatory DNA elements, such as promoters and enhancers. Although researchers have previ- ously published DNA maps of these regulatory regions for kidney tubule cells and glomerular endothelial cells, maps for podocytes and mesangial cells have not been available. Methods We generated regulatory DNA maps (DNase-seq) and paired gene expression profiles (RNA-seq) from primary outgrowth cultures of human glomeruli that were composed mainly of podo- cytes and mesangial cells. We generated similar datasets from renal cortex cultures, to compare with those of the glomerular cultures. Because regulatory DNA elements can act on target genes across large genomic distances, we also generated a chromatin conformation map from freshly isolated human glomeruli. Results We identified thousands of unique regulatory DNA elements, many located close to transcription factor genes, which the glomerular and cortex samples expressed at different levels. -
BT-CSC Dznep Treated Up-Regulated Genes Gene Symbol Gene Name M
BT-CSC DZNep treated up-regulated genes Gene Symbol Gene Name M Value KRTAP19-1 keratin associated protein 19-1 5.091638802 VPS53 vacuolar protein sorting 53 homolog (S. cerevisiae) 4.920143235 HEATR2 HEAT repeat containing 2 4.545255947 BRAF v-raf murine sarcoma viral oncogene homolog B1 4.404531741 PCDH7 protocadherin 7 4.378536321 PRKACB protein kinase, cAMP-dependent, catalytic, beta 4.337185544 C6orf166 chromosome 6 open reading frame 166 4.244909909 HIST1H3H histone cluster 1, H3h 4.085723721 CRAMP1L Crm, cramped-like (Drosophila) 3.811674874 RPS15 ribosomal protein S15 3.776296646 EPPK1 epiplakin 1 3.724368921 LAMA4 laminin, alpha 4 3.634864123 SEMA3C sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3C 3.504490549 MALAT1 metastasis associated lung adenocarcinoma transcript 1 (non-protein coding) 3.3915307 EPC1 enhancer of polycomb homolog 1 (Drosophila) 3.37404925 ANKRD13C ankyrin repeat domain 13C 3.367543301 HIST2H2BE histone cluster 2, H2be 3.331087945 LOC158301 hypothetical protein LOC158301 3.328891352 LOC56755 hypothetical protein LOC56755 3.233203867 HEXIM1 hexamethylene bis-acetamide inducible 1 3.231227044 SYT11 synaptotagmin XI 3.217641148 KRTAP7-1 keratin associated protein 7-1 3.202664068 TEX14 testis expressed 14 3.19144479 TUG1 taurine upregulated gene 1 3.15045817 KLHL28 kelch-like 28 (Drosophila) 3.074070618 KRTAP19-3 keratin associated protein 19-3 3.056583425 DOCK1 dedicator of cytokinesis 1 3.053526521 NHEDC1 Na+/H+ exchanger domain containing 1 3.013610505 SFN stratifin 3.000939496 -
1 INTRACELLULAR TRAFFICKING of AAV2 CAPSID MUTANTS and EFFECTS on GENE EXPRESSION by FIKRET AYDEMIR a DISSERTATION PRESENTED TO
INTRACELLULAR TRAFFICKING OF AAV2 CAPSID MUTANTS AND EFFECTS ON GENE EXPRESSION By FIKRET AYDEMIR A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2016 1 © 2016 Fikret Aydemir 2 To my wife, Dr. Tolunay Beker Aydemir 3 ACKNOWLEDGMENTS I would like to thank my dissertation adviser Nicholas Muzyczka and committee members Mavis Agbandje-McKenna, Sergei Zolutukhin and Arun Srivastava. They invested a lot of time, energy and funding for my doctoral training. This dissertation wouldn’t have happened without them. I would like to thank them for their patience and understanding. I have been very fortunate to have an opportunity to work in Dr. Muzyczka’s lab. I have been lucky to share my work space with very productive lab members. I am specifically thankful to Mrs. Weijun Chen, Dr. Hector Mendez-Gomez, Dr. Jasbir Singh and Maxim Salganik. University of Florida is home of Powell Gene Therapy Vector Core. I would like to thank Mr. Mark Potter and his colleagues for providing not only very valuable vectors but also troubleshooting experimental problems, as well. 4 TABLE OF CONTENTS page ACKNOWLEDGMENTS .................................................................................................. 4 LIST OF TABLES ............................................................................................................ 7 LIST OF FIGURES .........................................................................................................