Identification of KRT16 As a Target of an Autoantibody Response in Complex Regional Pain Syndrome
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Targeted Genes and Methodology Details for Neuromuscular Genetic Panels
Targeted Genes and Methodology Details for Neuromuscular Genetic Panels Reference transcripts based on build GRCh37 (hg19) interrogated by Neuromuscular Genetic Panels Next-generation sequencing (NGS) and/or Sanger sequencing is performed Motor Neuron Disease Panel to test for the presence of a mutation in these genes. Gene GenBank Accession Number Regions of homology, high GC-rich content, and repetitive sequences may ALS2 NM_020919 not provide accurate sequence. Therefore, all reported alterations detected ANG NM_001145 by NGS are confirmed by an independent reference method based on laboratory developed criteria. However, this does not rule out the possibility CHMP2B NM_014043 of a false-negative result in these regions. ERBB4 NM_005235 Sanger sequencing is used to confirm alterations detected by NGS when FIG4 NM_014845 appropriate.(Unpublished Mayo method) FUS NM_004960 HNRNPA1 NM_031157 OPTN NM_021980 PFN1 NM_005022 SETX NM_015046 SIGMAR1 NM_005866 SOD1 NM_000454 SQSTM1 NM_003900 TARDBP NM_007375 UBQLN2 NM_013444 VAPB NM_004738 VCP NM_007126 ©2018 Mayo Foundation for Medical Education and Research Page 1 of 14 MC4091-83rev1018 Muscular Dystrophy Panel Muscular Dystrophy Panel Gene GenBank Accession Number Gene GenBank Accession Number ACTA1 NM_001100 LMNA NM_170707 ANO5 NM_213599 LPIN1 NM_145693 B3GALNT2 NM_152490 MATR3 NM_199189 B4GAT1 NM_006876 MYH2 NM_017534 BAG3 NM_004281 MYH7 NM_000257 BIN1 NM_139343 MYOT NM_006790 BVES NM_007073 NEB NM_004543 CAPN3 NM_000070 PLEC NM_000445 CAV3 NM_033337 POMGNT1 NM_017739 CAVIN1 NM_012232 POMGNT2 -
Universidade Estadual De Campinas Instituto De Biologia
UNIVERSIDADE ESTADUAL DE CAMPINAS INSTITUTO DE BIOLOGIA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA CAMPINAS 2016 1 VERÔNICA APARECIDA MONTEIRO SAIA CEREDA O PROTEOMA DO CORPO CALOSO DA ESQUIZOFRENIA THE PROTEOME OF THE CORPUS CALLOSUM IN SCHIZOPHRENIA Dissertação apresentada ao Instituto de Biologia da Universidade Estadual de Campinas como parte dos requisitos exigidos para a obtenção do Título de Mestra em Biologia Funcional e Molecular na área de concentração de Bioquímica. Dissertation presented to the Institute of Biology of the University of Campinas in partial fulfillment of the requirements for the degree of Master in Functional and Molecular Biology, in the area of Biochemistry. ESTE ARQUIVO DIGITAL CORRESPONDE À VERSÃO FINAL DA DISSERTAÇÃO DEFENDIDA PELA ALUNA VERÔNICA APARECIDA MONTEIRO SAIA CEREDA E ORIENTADA PELO DANIEL MARTINS-DE-SOUZA. Orientador: Daniel Martins-de-Souza CAMPINAS 2016 2 Agência(s) de fomento e nº(s) de processo(s): CNPq, 151787/2F2014-0 Ficha catalográfica Universidade Estadual de Campinas Biblioteca do Instituto de Biologia Mara Janaina de Oliveira - CRB 8/6972 Saia-Cereda, Verônica Aparecida Monteiro, 1988- Sa21p O proteoma do corpo caloso da esquizofrenia / Verônica Aparecida Monteiro Saia Cereda. – Campinas, SP : [s.n.], 2016. Orientador: Daniel Martins de Souza. Dissertação (mestrado) – Universidade Estadual de Campinas, Instituto de Biologia. 1. Esquizofrenia. 2. Espectrometria de massas. 3. Corpo caloso. -
Blueprint Genetics ENO3 Single Gene Test
ENO3 single gene test Test code: S00654 Phenotype information Glycogen storage disease Panels that include the ENO3 gene Glycogen Storage Disorder Panel Comprehensive Metabolism Panel Hypoglycemia, Hyperinsulinism and Ketone Metabolism Panel Metabolic Myopathy and Rhabdomyolysis Panel Test Strengths The strengths of this test include: CAP accredited laboratory CLIA-certified personnel performing clinical testing in a CLIA-certified laboratory Powerful sequencing technologies, advanced target enrichment methods and precision bioinformatics pipelines ensure superior analytical performance Careful construction of clinically effective and scientifically justified gene panels Our Nucleus online portal providing transparent and easy access to quality and performance data at the patient level Our publicly available analytic validation demonstrating complete details of test performance ~2,000 non-coding disease causing variants in our clinical grade NGS assay for panels (please see ‘Non-coding disease causing variants covered by this test’) Our rigorous variant classification scheme Our systematic clinical interpretation workflow using proprietary software enabling accurate and traceable processing of NGS data Our comprehensive clinical statements Test Limitations This test does not detect the following: Complex inversions Gene conversions Balanced translocations Mitochondrial DNA variants Repeat expansion disorders unless specifically mentioned Non-coding variants deeper than ±20 base pairs from exon-intron boundary unless otherwise indicated (please see above non-coding variants covered by the test). This test may not reliably detect the following: Low level mosaicism (variant with a minor allele fraction of 14.6% is detected with 90% probability) Stretches of mononucleotide repeats Indels larger than 50bp Single exon deletions or duplications Variants within pseudogene regions/duplicated segments The sensitivity of this test may be reduced if DNA is extracted by a laboratory other than Blueprint Genetics. -
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. -
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 -
Microenvironmental Reprogramming of Thymic Epithelial Cells to Skin Multipotent Stem Cells
Vol 466 | 19 August 2010 | doi:10.1038/nature09269 LETTERS Microenvironmental reprogramming of thymic epithelial cells to skin multipotent stem cells Paola Bonfanti1,2{, Ste´phanie Claudinot1,2, Alessandro W. Amici1,2, Alison Farley3, C. Clare Blackburn3 & Yann Barrandon1,2 The thymus develops from the third pharyngeal pouch of the or double positive cells (16%). After serial passaging, less than 2% of anterior gut and provides the necessary environment for thymo- the cells were positive for K8/18, while all were positive for K5/14, a poiesis (the process by which thymocytes differentiate into mature situation maintained in serial cultivation (Supplementary Fig. 1a). T lymphocytes) and the establishment and maintenance of self- These data indicate that clonogenic TECs originate from both the tolerance1–3. It contains thymic epithelial cells (TECs) that form a cortex and the medulla but that serial cultivation predominantly complex three-dimensional network organized in cortical and selected for a medullary phenotype. Clonogenic TECs were then medullary compartments, the organization of which is notably dif- ferent from simple or stratified epithelia4. TECs have an essential ab role in the generation of self-tolerant thymocytes through expres- sion of the autoimmune regulator Aire5,6, but the mechanisms involved in the specification and maintenance of TECs remain unclear7–9. Despite the different embryological origins of thymus and skin (endodermal and ectodermal, respectively), some cells of 10–12 the thymic medulla express stratified-epithelium markers , 4 105 79.3 15.1 10 interpreted as promiscuous gene expression. Here we show that 19.3 70.1 104 the thymus of the rat contains a population of clonogenic TECs 103 3 that can be extensively cultured while conserving the capacity to EGFP 10 EpCAM 102 integrate in a thymic epithelial network and to express major 102 0 histocompatibility complex class II (MHC II) molecules and Aire. -
Progress in the Biological Function of Alpha-Enolase
Animal Nutrition 2 (2016) 12e17 Contents lists available at ScienceDirect Animal Nutrition journal homepage: http://www.keaipublishing.com/en/journals/aninu/ Review article Progress in the biological function of alpha-enolase * Hong Ji 1, Jianfa Wang 1, Jingru Guo, Yue Li, Shuai Lian, Wenjin Guo, Huanmin Yang , Fanzhi Kong, Li Zhen, Li Guo, Yanzhi Liu College of Animal Science and Veterinary Medicine, Heilongjiang Bayi Agricultural University, Daqing 163319, China article info abstract Article history: Alpha-enolase (ENO1), also known as 2-phospho-D-glycerate hydrolase, is a metalloenzyme that cata- Received 16 December 2015 lyzes the conversion of 2-phosphoglyceric acid to phosphoenolpyruvic acid in the glycolytic pathway. It Accepted 3 February 2016 is a multifunctional glycolytic enzyme involved in cellular stress, bacterial and fungal infections, auto- Available online 2 March 2016 antigen activities, the occurrence and metastasis of cancer, parasitic infections, and the growth, devel- opment and reproduction of organisms. This article mainly reviews the basic characteristics and Keywords: biological functions of ENO1. a-enolase © 2016, Chinese Association of Animal Science and Veterinary Medicine. Production and hosting Glycolysis Plasma plasminogen by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under the Cancer CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Parasite 1. Introduction present article mainly reviews the basic characteristics and bio- logical functions -
Transcriptional and Post-Transcriptional Regulation of ATP-Binding Cassette Transporter Expression
Transcriptional and Post-transcriptional Regulation of ATP-binding Cassette Transporter Expression by Aparna Chhibber DISSERTATION Submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in Pharmaceutical Sciences and Pbarmacogenomies in the Copyright 2014 by Aparna Chhibber ii Acknowledgements First and foremost, I would like to thank my advisor, Dr. Deanna Kroetz. More than just a research advisor, Deanna has clearly made it a priority to guide her students to become better scientists, and I am grateful for the countless hours she has spent editing papers, developing presentations, discussing research, and so much more. I would not have made it this far without her support and guidance. My thesis committee has provided valuable advice through the years. Dr. Nadav Ahituv in particular has been a source of support from my first year in the graduate program as my academic advisor, qualifying exam committee chair, and finally thesis committee member. Dr. Kathy Giacomini graciously stepped in as a member of my thesis committee in my 3rd year, and Dr. Steven Brenner provided valuable input as thesis committee member in my 2nd year. My labmates over the past five years have been incredible colleagues and friends. Dr. Svetlana Markova first welcomed me into the lab and taught me numerous laboratory techniques, and has always been willing to act as a sounding board. Michael Martin has been my partner-in-crime in the lab from the beginning, and has made my days in lab fly by. Dr. Yingmei Lui has made the lab run smoothly, and has always been willing to jump in to help me at a moment’s notice. -
Full Disclosure Forms
Expanding genotype/phenotype of neuromuscular diseases by comprehensive target capture/NGS Xia Tian, PhD* ABSTRACT * Wen-Chen Liang, MD Objective: To establish and evaluate the effectiveness of a comprehensive next-generation * Yanming Feng, PhD sequencing (NGS) approach to simultaneously analyze all genes known to be responsible for Jing Wang, MD the most clinically and genetically heterogeneous neuromuscular diseases (NMDs) involving spi- Victor Wei Zhang, PhD nal motoneurons, neuromuscular junctions, nerves, and muscles. Chih-Hung Chou, MS Methods: All coding exons and at least 20 bp of flanking intronic sequences of 236 genes causing Hsien-Da Huang, PhD NMDs were enriched by using SeqCap EZ solution-based capture and enrichment method fol- Ching Wan Lam, PhD lowed by massively parallel sequencing on Illumina HiSeq2000. Ya-Yun Hsu, PhD ; 3 Thy-Sheng Lin, MD Results: The target gene capture/deep sequencing provides an average coverage of 1,000 per Wan-Tzu Chen, MS nucleotide. Thirty-five unrelated NMD families (38 patients) with clinical and/or muscle pathologic Lee-Jun Wong, PhD diagnoses but without identified causative genetic defects were analyzed. Deleterious mutations Yuh-Jyh Jong, MD were found in 29 families (83%). Definitive causative mutations were identified in 21 families (60%) and likely diagnoses were established in 8 families (23%). Six families were left without diagnosis due to uncertainty in phenotype/genotype correlation and/or unidentified causative Correspondence to genes. Using this comprehensive panel, we not only identified mutations in expected genes but Dr. Wong: also expanded phenotype/genotype among different subcategories of NMDs. [email protected] or Dr. Jong: Conclusions: Target gene capture/deep sequencing approach can greatly improve the genetic [email protected] diagnosis of NMDs. -
Protein Expression Profiling in the Zebrafish (Danio Rerio) Embryos
Proteomics 2011, 11, 2003–2018 DOI 10.1002/pmic.201000442 2003 RESEARCH ARTICLE Protein expression profiling in the zebrafish (Danio rerio) embryos exposed to the microcystin-LR Guangyu Li1, Jun Chen1, Ping Xie1, Yan Jiang1, Laiyan Wu1 and Xuezhen Zhang 2 1 Donghu Experimental Station of Lake Ecosystems, State Key Laboratory for Freshwater Ecology and Biotechnology of China, Institute of Hydrobiology, The Chinese Academy of Sciences, Wuhan, P. R. China 2 Fisheries College of Huazhong Agricultural University, Wuhan, P. R. China Microcystin-leucine-arginine (MCLR) is the most toxic and the most commonly encountered Received: July 17, 2010 variant of microcystins (MCs) in aquatic environment, and it has the potential for develop- Revised: January 22, 2011 mental toxicity. A number of previous studies have described the developing toxicity of MCLR Accepted: February 1, 2011 based on conventional toxicological indices. However, the molecular mechanisms by which it expresses its toxicity during the early development remain largely unknown. To further our understanding of mechanisms of action and identify the potential protein biomarkers for MCLR exposure, a proteomic analysis was performed on developing zebrafish embryos exposed to 0.5 mg/L MCLR until 96 hours post-fertilization. 2-DE combined with MS was employed to detect and identify the protein profiles. Results showed that 75 spots from the 0.5 mg/L MCLR condition showed a significant increase or decrease in abundance compared with the control. In total, 40 proteins were identified. These proteins were mainly included in process related to oxidative stress, energetic metabolism, and the cytoskeleton assembly. MCLR exposure also affects the expression of the subunits of protein phosphatases 2A. -
Molecular Diagnosis of Glycogen Storage Disease and Disorders with Overlapping Clinical Symptoms by Massive Parallel Sequencing
© American College of Medical Genetics and Genomics ORIGINAL RESEARCH ARTICLE Molecular diagnosis of glycogen storage disease and disorders with overlapping clinical symptoms by massive parallel sequencing Ana I Vega, PhD1,2,3, Celia Medrano, BSc1,2,3, Rosa Navarrete, BSc1,2,3, Lourdes R Desviat, PhD1,2,3, Begoña Merinero, PhD1,2,3, Pilar Rodríguez-Pombo, PhD1,2,3, Isidro Vitoria, MD, PhD4, Magdalena Ugarte, PhD1,2,3, Celia Pérez-Cerdá, PhD1,2,3 and Belen Pérez, PhD1,2,3 Purpose: Glycogen storage disease (GSD) is an umbrella term for a Results: Pathogenic mutations were detected in 23 patients. group of genetic disorders that involve the abnormal metabolism of Twenty-two mutations were recognized (mostly loss-of-function glycogen; to date, 23 types of GSD have been identified. The nonspe- mutations), including 11 that were novel in GSD-associated genes. In cific clinical presentation of GSD and the lack of specific biomarkers addition, CES detected five patients with mutations in ALDOB, LIPA, mean that Sanger sequencing is now widely relied on for making a NKX2-5, CPT2, or ANO5. Although these genes are not involved in diagnosis. However, this gene-by-gene sequencing technique is both GSD, they are associated with overlapping phenotypic characteristics laborious and costly, which is a consequence of the number of genes such as hepatic, muscular, and cardiac dysfunction. to be sequenced and the large size of some genes. Conclusions: These results show that next-generation sequenc- ing, in combination with the detection of biochemical and clinical Methods: This work reports the use of massive parallel sequencing hallmarks, provides an accurate, high-throughput means of making to diagnose patients at our laboratory in Spain using either a cus- genetic diagnoses of GSD and related diseases. -
The TFG-TEC Oncoprotein Induces Transcriptional Activation of the Human B-Enolase Gene Via Chromatin Modification of the Promoter Region
MOLECULAR CARCINOGENESIS 55:1411–1423 (2016) The TFG-TEC Oncoprotein Induces Transcriptional Activation of the Human b-Enolase Gene Via Chromatin Modification of the Promoter Region Ah-young Kim, Bobae Lim, JeeHyun Choi, and Jungho Kim* Laboratory of Molecular and Cellular Biology, Department of Life Science, Sogang University, Seoul, Korea Recurrent chromosome translocations are the hallmark of many human cancers. A proportion of human extraskeletal myxoid chondrosarcomas (EMCs) are associated with the characteristic chromosomal translocation t(3;9)(q11–12;q22), which results in the formation of a chimeric protein in which the N-terminal domain of the TRK-fused gene (TFG) is fused to the translocated in extraskeletal chondrosarcoma (TEC; also called CHN, CSMF, MINOR, NOR1, and NR4A3) gene. The oncogenic effect of this translocation may be due to the higher transactivation ability of the TFG-TEC chimeric protein; however, downstream target genes of TFG-TEC have not yet been identified. The results presented here, demonstrate that TFG-TEC activates the human b-enolase promoter. EMSAs, ChIP assays, and luciferase reporter assays revealed that TFG-TEC upregulates b-enolase transcription by binding to two NGFI-B response element motifs located upstream of the putative transcription start site. In addition, northern blot, quantitative real-time PCR, and Western blot analyses showed that overexpression of TFG-TEC up-regulated b-enolase mRNA and protein expression in cultured cell lines. Finally, ChIP analyses revealed that TFG-TEC controls the activity of the endogenous b-enolase promoter by promoting histone H3 acetylation. Overall, the results presented here indicate that TFG-TEC triggers a regulatory gene hierarchy implicated in cancer cell metabolism.