Genetic Testing for Developmental Disabilities, Intellectual Disability, and Autism Spectrum Disorder Technical Brief Number 23
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Aquaporin Channels in the Heart—Physiology and Pathophysiology
International Journal of Molecular Sciences Review Aquaporin Channels in the Heart—Physiology and Pathophysiology Arie O. Verkerk 1,2,* , Elisabeth M. Lodder 2 and Ronald Wilders 1 1 Department of Medical Biology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] 2 Department of Experimental Cardiology, Amsterdam University Medical Centers, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; [email protected] * Correspondence: [email protected]; Tel.: +31-20-5664670 Received: 29 March 2019; Accepted: 23 April 2019; Published: 25 April 2019 Abstract: Mammalian aquaporins (AQPs) are transmembrane channels expressed in a large variety of cells and tissues throughout the body. They are known as water channels, but they also facilitate the transport of small solutes, gasses, and monovalent cations. To date, 13 different AQPs, encoded by the genes AQP0–AQP12, have been identified in mammals, which regulate various important biological functions in kidney, brain, lung, digestive system, eye, and skin. Consequently, dysfunction of AQPs is involved in a wide variety of disorders. AQPs are also present in the heart, even with a specific distribution pattern in cardiomyocytes, but whether their presence is essential for proper (electro)physiological cardiac function has not intensively been studied. This review summarizes recent findings and highlights the involvement of AQPs in normal and pathological cardiac function. We conclude that AQPs are at least implicated in proper cardiac water homeostasis and energy balance as well as heart failure and arsenic cardiotoxicity. However, this review also demonstrates that many effects of cardiac AQPs, especially on excitation-contraction coupling processes, are virtually unexplored. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony
Supplementary Data Th2 and non-Th2 molecular phenotypes of asthma using sputum transcriptomics in UBIOPRED Chih-Hsi Scott Kuo1.2, Stelios Pavlidis3, Matthew Loza3, Fred Baribaud3, Anthony Rowe3, Iaonnis Pandis2, Ana Sousa4, Julie Corfield5, Ratko Djukanovic6, Rene 7 7 8 2 1† Lutter , Peter J. Sterk , Charles Auffray , Yike Guo , Ian M. Adcock & Kian Fan 1†* # Chung on behalf of the U-BIOPRED consortium project team 1Airways Disease, National Heart & Lung Institute, Imperial College London, & Biomedical Research Unit, Biomedical Research Unit, Royal Brompton & Harefield NHS Trust, London, United Kingdom; 2Department of Computing & Data Science Institute, Imperial College London, United Kingdom; 3Janssen Research and Development, High Wycombe, Buckinghamshire, United Kingdom; 4Respiratory Therapeutic Unit, GSK, Stockley Park, United Kingdom; 5AstraZeneca R&D Molndal, Sweden and Areteva R&D, Nottingham, United Kingdom; 6Faculty of Medicine, Southampton University, Southampton, United Kingdom; 7Faculty of Medicine, University of Amsterdam, Amsterdam, Netherlands; 8European Institute for Systems Biology and Medicine, CNRS-ENS-UCBL, Université de Lyon, France. †Contributed equally #Consortium project team members are listed under Supplementary 1 Materials *To whom correspondence should be addressed: [email protected] 2 List of the U-BIOPRED Consortium project team members Uruj Hoda & Christos Rossios, Airways Disease, National Heart & Lung Institute, Imperial College London, UK & Biomedical Research Unit, Biomedical Research Unit, Royal -
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. -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
Warning Sines: Alu Elements, Evolution of the Human Brain, and the Spectrum of Neurological Disease
Chromosome Res (2018) 26:93–111 https://doi.org/10.1007/s10577-018-9573-4 ORIGINAL ARTICLE Warning SINEs: Alu elements, evolution of the human brain, and the spectrum of neurological disease Peter A. Larsen & Kelsie E. Hunnicutt & Roxanne J. Larsen & Anne D. Yoder & Ann M. Saunders Received: 6 December 2017 /Revised: 14 January 2018 /Accepted: 15 January 2018 /Published online: 19 February 2018 # The Author(s) 2018. This article is an open access publication Abstract Alu elements are a highly successful family of neurological networks are potentially vulnerable to the primate-specific retrotransposons that have fundamen- epigenetic dysregulation of Alu elements operating tally shaped primate evolution, including the evolution across the suite of nuclear-encoded mitochondrial genes of our own species. Alus play critical roles in the forma- that are critical for both mitochondrial and CNS func- tion of neurological networks and the epigenetic regu- tion. Here, we highlight the beneficial neurological as- lation of biochemical processes throughout the central pects of Alu elements as well as their potential to cause nervous system (CNS), and thus are hypothesized to disease by disrupting key cellular processes across the have contributed to the origin of human cognition. De- CNS. We identify at least 37 neurological and neurode- spite the benefits that Alus provide, deleterious Alu generative disorders wherein deleterious Alu activity has activity is associated with a number of neurological been implicated as a contributing factor for the manifes- and neurodegenerative disorders. In particular, tation of disease, and for many of these disorders, this activity is operating on genes that are essential for proper mitochondrial function. -
Ciliopathies Gene Panel
Ciliopathies Gene Panel Contact details Introduction Regional Genetics Service The ciliopathies are a heterogeneous group of conditions with considerable phenotypic overlap. Levels 4-6, Barclay House These inherited diseases are caused by defects in cilia; hair-like projections present on most 37 Queen Square cells, with roles in key human developmental processes via their motility and signalling functions. Ciliopathies are often lethal and multiple organ systems are affected. Ciliopathies are London, WC1N 3BH united in being genetically heterogeneous conditions and the different subtypes can share T +44 (0) 20 7762 6888 many clinical features, predominantly cystic kidney disease, but also retinal, respiratory, F +44 (0) 20 7813 8578 skeletal, hepatic and neurological defects in addition to metabolic defects, laterality defects and polydactyly. Their clinical variability can make ciliopathies hard to recognise, reflecting the ubiquity of cilia. Gene panels currently offer the best solution to tackling analysis of genetically Samples required heterogeneous conditions such as the ciliopathies. Ciliopathies affect approximately 1:2,000 5ml venous blood in plastic EDTA births. bottles (>1ml from neonates) Ciliopathies are generally inherited in an autosomal recessive manner, with some autosomal Prenatal testing must be arranged dominant and X-linked exceptions. in advance, through a Clinical Genetics department if possible. Referrals Amniotic fluid or CV samples Patients presenting with a ciliopathy; due to the phenotypic variability this could be a diverse set should be sent to Cytogenetics for of features. For guidance contact the laboratory or Dr Hannah Mitchison dissecting and culturing, with ([email protected]) / Prof Phil Beales ([email protected]) instructions to forward the sample to the Regional Molecular Genetics Referrals will be accepted from clinical geneticists and consultants in nephrology, metabolic, laboratory for analysis respiratory and retinal diseases. -
Diagnostic Test: OBESITÀ GENETICHE MENDELIANE
Diagnostic test: OBESITÀ GENETICHE MENDELIANE MENDELIAN OBESITY Panel / Illumina Custom panel, Nextera Enrichment Technology / Coding exons and flanking regions of genes List of gene(s) and disease(s) tested: ALMS1, ARL6, BBIP1, BBS1, BBS10, BBS12, BBS2, BBS4, BBS5, BBS7, BBS9, C8orf37, CARTPT, CEP19, CEP290, DYRK1B, GNAS, HDAC8, IFT172, IFT27, INPP5E, INSR, KSR2, LEP, LEPR, LZTFL1, MC3R, MC4R, MCHR1, MEGF8, MKKS, MKS1, NR0B2, PCSK1, PHF6, POMC, PPARG, PPP1R3A, RAB23, SDCCAG8, SH2B1, SIM1, TRIM32, TTC8, UCP3, VPS13B, WDPCP ORPHA:98267 Obesità non sindromica genetica Obesità sindromica Tabella Elenco delle forme di OBESITÀ GENETICHE MENDELIANE e la loro eziologia genetica Phenotype OMIM# Gene OMIM# Phenotype Gene Alstrom syndrome 203800 ALMS1 606844 Bardet-Biedl syndrome 3 600151 ARL6 608845 Bardet-Biedl syndrome 18 615995 BBIP1 613605 Bardet-Biedl syndrome 1 209900 BBS1 209901 Bardet-Biedl syndrome 10 615987 BBS10 610148 Bardet-Biedl syndrome 12 615989 BBS12 610683 Bardet-Biedl syndrome 2 615981 BBS2 606151 Bardet-Biedl syndrome 4 615982 BBS4 600374 Bardet-Biedl syndrome 5 615983 BBS5 603650 Bardet-Biedl syndrome 7 615984 BBS7 607590 Bardet-Biedl syndrome 21 617406 C8orf37 614477 Obesity, severe HGMD CARTPT 602606 Morbid obesity and spermatogenic failure; Bardet-Biedl syndrome; Morbid obesity 615703; HGMD CEP19 615586 Bardet-Biedl syndrome 14 615991 CEP290 610142 Abdominal obesity-metabolic syndrome 3 615812 DYRK1B 604556 Pseudohypoparathyroidism Ia; Pseudohypoparathyroidism Ic 103580; 612462 GNAS 139320 Cornelia de Lange syndrome 5 300882 -
Phosphoinositide 3-Kinase-C2α Regulates Polycystin-2 Ciliary Entry
BASIC RESEARCH www.jasn.org Phosphoinositide 3-Kinase-C2a Regulates Polycystin-2 Ciliary Entry and Protects against Kidney Cyst Formation † Irene Franco,* Jean Piero Margaria,* Maria Chiara De Santis,* Andrea Ranghino, ‡ Daniel Monteyne, Marco Chiaravalli,§ Monika Pema,§ Carlo Cosimo Campa,* ‡| Edoardo Ratto,* Federico Gulluni,* David Perez-Morga, Stefan Somlo,¶ Giorgio R. Merlo,* Alessandra Boletta,§ and Emilio Hirsch* *Molecular Biotechnology Center, Department of Molecular Biotechnology and Health Sciences, University of Torino, Turin, Italy; †Renal Transplantation Center “A. Vercellone”, Division of Nephrology, Dialysis and Transplantation, Department of Medical Sciences, Città della Salute e della Scienza, Hospital and Research Center for Experimental Medicine (CeRMS) and Center for Molecular Biotechnology, University of Torino, Turin, Italy; ‡Laboratoire de Parasitologie Moléculaire, Institut de Biologie et de Médecine Moléculaires (IBMM), Université Libre de Bruxelles, Gosselies, Charleroi, Belgium; §Division of Genetics and Cell Biology, Dibit San Raffaele Scientific Institute, Milan, Italy; |Center for Microscopy and Molecular Imaging (CMMI), Université Libre de Bruxelles, Gosselies, Belgium; and ¶Section of Nephrology, Yale University School of Medicine, New Haven, Connecticut. ABSTRACT Signaling from the primary cilium regulates kidney tubule development and cyst formation. However, the mechanism controlling targeting of ciliary components necessary for cilium morphogenesis and signaling is largely unknown. Here, we studied the function of class II phosphoinositide 3-kinase-C2a (PI3K-C2a)inrenal tubule-derived inner medullary collecting duct 3 cells and show that PI3K-C2a resides at the recycling endo- some compartment in proximity to the primary cilium base. In this subcellular location, PI3K-C2a controlled the activation of Rab8, a key mediator of cargo protein targeting to the primary cilium. -
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. -
Macropinocytosis Requires Gal-3 in a Subset of Patient-Derived Glioblastoma Stem Cells
ARTICLE https://doi.org/10.1038/s42003-021-02258-z OPEN Macropinocytosis requires Gal-3 in a subset of patient-derived glioblastoma stem cells Laetitia Seguin1,8, Soline Odouard2,8, Francesca Corlazzoli 2,8, Sarah Al Haddad2, Laurine Moindrot2, Marta Calvo Tardón3, Mayra Yebra4, Alexey Koval5, Eliana Marinari2, Viviane Bes3, Alexandre Guérin 6, Mathilde Allard2, Sten Ilmjärv6, Vladimir L. Katanaev 5, Paul R. Walker3, Karl-Heinz Krause6, Valérie Dutoit2, ✉ Jann N. Sarkaria 7, Pierre-Yves Dietrich2 & Érika Cosset 2 Recently, we involved the carbohydrate-binding protein Galectin-3 (Gal-3) as a druggable target for KRAS-mutant-addicted lung and pancreatic cancers. Here, using glioblastoma patient-derived stem cells (GSCs), we identify and characterize a subset of Gal-3high glio- 1234567890():,; blastoma (GBM) tumors mainly within the mesenchymal subtype that are addicted to Gal-3- mediated macropinocytosis. Using both genetic and pharmacologic inhibition of Gal-3, we showed a significant decrease of GSC macropinocytosis activity, cell survival and invasion, in vitro and in vivo. Mechanistically, we demonstrate that Gal-3 binds to RAB10, a member of the RAS superfamily of small GTPases, and β1 integrin, which are both required for macro- pinocytosis activity and cell survival. Finally, by defining a Gal-3/macropinocytosis molecular signature, we could predict sensitivity to this dependency pathway and provide proof-of- principle for innovative therapeutic strategies to exploit this Achilles’ heel for a significant and unique subset of GBM patients. 1 University Côte d’Azur, CNRS UMR7284, INSERM U1081, Institute for Research on Cancer and Aging (IRCAN), Nice, France. 2 Laboratory of Tumor Immunology, Department of Oncology, Center for Translational Research in Onco-Hematology, Swiss Cancer Center Léman (SCCL), Geneva University Hospitals, University of Geneva, Geneva, Switzerland. -
Evidence of Oligogenic Inheritance in Nephronophthisis
JASN Express. Published on September 12, 2007 as doi: 10.1681/ASN.2007020243 CLINICAL RESEARCH www.jasn.org Evidence of Oligogenic Inheritance in Nephronophthisis Julia Hoefele,*† Matthias T.F. Wolf,* John F. O’Toole,* Edgar A. Otto,* Ulla Schultheiss,* Georges Deˆschenes,‡ Massimo Attanasio,* Boris Utsch,* Corinne Antignac,§ and ʈ Friedhelm Hildebrandt* ʈ Departments of *Pediatrics and Human Genetics, University of Michigan, Ann Arbor, Michigan; †Department of Pediatrics, University Children’s Hospital, University of Munich, Munich, Germany; and ‡Hoˆpital Robert Debre´, Pediatric Nephrology, AP-HP, and §INSERM, U574, Universite´ Paris Descartes, Faculte de Me´dicine Rene´ Descartes, and Hoˆpital Necker-Enfants Malades, AP-HP, Department of Genetics, Paris, France ABSTRACT Nephronophthisis is a recessive cystic renal disease that leads to end-stage renal failure in the first two decades of life. Twenty-five percent of nephronophthisis cases are caused by large homozygous deletions of NPHP1, but six genes responsible for nephronophthisis have been identified. Because oligogenic inheritance has been described for the related Bardet-Biedl syndrome, we evaluated whether mutations in more than one gene may also be detected in cases of nephronophthisis. Because the nephrocystins 1 to 4 are known to interact, we examined patients with nephronophthisis from 94 different families and sequenced all exons of the NPHP1, NPHP2, NPHP3, and NPHP4 genes. In our previous studies involving 44 families, we detected two mutations in one of the NPHP1–4 genes. Here, we detected in six families two mutations in either NPHP1, NPHP3, or NPHP4, and identified a third mutation in one of the other NPHP genes. Furthermore, we found possible digenic disease by detecting one individual who carried one mutation in NPHP2 and a second mutation in NPHP3.