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SRC Antibody - N-Terminal Region (ARP32476 P050) Data Sheet
SRC antibody - N-terminal region (ARP32476_P050) Data Sheet Product Number ARP32476_P050 Product Name SRC antibody - N-terminal region (ARP32476_P050) Size 50ug Gene Symbol SRC Alias Symbols ASV; SRC1; c-SRC; p60-Src Nucleotide Accession# NM_005417 Protein Size (# AA) 536 amino acids Molecular Weight 60kDa Product Format Lyophilized powder NCBI Gene Id 6714 Host Rabbit Clonality Polyclonal Official Gene Full Name V-src sarcoma (Schmidt-Ruppin A-2) viral oncogene homolog (avian) Gene Family SH2D This is a rabbit polyclonal antibody against SRC. It was validated on Western Blot by Aviva Systems Biology. At Aviva Systems Biology we manufacture rabbit polyclonal antibodies on a large scale (200-1000 Description products/month) of high throughput manner. Our antibodies are peptide based and protein family oriented. We usually provide antibodies covering each member of a whole protein family of your interest. We also use our best efforts to provide you antibodies recognize various epitopes of a target protein. For availability of antibody needed for your experiment, please inquire (). Peptide Sequence Synthetic peptide located within the following region: QTPSKPASADGHRGPSAAFAPAAAEPKLFGGFNSSDTVTSPQRAGPLAGG This gene is highly similar to the v-src gene of Rous sarcoma virus. This proto-oncogene may play a role in the Description of Target regulation of embryonic development and cell growth. SRC protein is a tyrosine-protein kinase whose activity can be inhibited by phosphorylation by c-SRC kinase. Mutations in this gene could be involved in the -
Post-Mortem Whole-Exome Analysis in a Large Sudden Infant Death Syndrome Cohort with a Focus on Cardiovascular and Metabolic Genetic Diseases
European Journal of Human Genetics (2017) 25, 404–409 & 2017 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 1018-4813/17 www.nature.com/ejhg ARTICLE Post-mortem whole-exome analysis in a large sudden infant death syndrome cohort with a focus on cardiovascular and metabolic genetic diseases Jacqueline Neubauer*,1, Maria Rita Lecca2, Giancarlo Russo2, Christine Bartsch3, Argelia Medeiros-Domingo4, Wolfgang Berger5,6,7 and Cordula Haas1 Sudden infant death syndrome (SIDS) is described as the sudden and unexplained death of an apparently healthy infant younger than one year of age. Genetic studies indicate that up to 35% of SIDS cases might be explained by familial or genetic diseases such as cardiomyopathies, ion channelopathies or metabolic disorders that remained undetected during conventional forensic autopsy procedures. Post-mortem genetic testing by using massive parallel sequencing (MPS) approaches represents an efficient and rapid tool to further investigate unexplained death cases and might help to elucidate pathogenic genetic variants and mechanisms in cases without a conclusive cause of death. In this study, we performed whole-exome sequencing (WES) in 161 European SIDS infants with focus on 192 genes associated with cardiovascular and metabolic diseases. Potentially causative variants were detected in 20% of the SIDS cases. The majority of infants had variants with likely functional effects in genes associated with channelopathies (9%), followed by cardiomyopathies (7%) and metabolic diseases (1%). Although lethal arrhythmia represents the most plausible and likely cause of death, the majority of SIDS cases still remains elusive and might be explained by a multifactorial etiology, triggered by a combination of different genetic and environmental risk factors. -
Versican V2 Assembles the Extracellular Matrix Surrounding the Nodes of Ranvier in the CNS
The Journal of Neuroscience, June 17, 2009 • 29(24):7731–7742 • 7731 Cellular/Molecular Versican V2 Assembles the Extracellular Matrix Surrounding the Nodes of Ranvier in the CNS María T. Dours-Zimmermann,1 Konrad Maurer,2 Uwe Rauch,3 Wilhelm Stoffel,4 Reinhard Fa¨ssler,5 and Dieter R. Zimmermann1 Institutes of 1Surgical Pathology and 2Anesthesiology, University Hospital Zurich, CH-8091 Zurich, Switzerland, 3Vascular Wall Biology, Department of Experimental Medical Science, University of Lund, S-221 00 Lund, Sweden, 4Center for Biochemistry, Medical Faculty, University of Cologne, D-50931 Cologne, Germany, and 5Department of Molecular Medicine, Max Planck Institute of Biochemistry, D-82152 Martinsried, Germany The CNS-restricted versican splice-variant V2 is a large chondroitin sulfate proteoglycan incorporated in the extracellular matrix sur- rounding myelinated fibers and particularly accumulating at nodes of Ranvier. In vitro, it is a potent inhibitor of axonal growth and therefore considered to participate in the reduction of structural plasticity connected to myelination. To study the role of versican V2 during postnatal development, we designed a novel isoform-specific gene inactivation approach circumventing early embryonic lethality of the complete knock-out and preventing compensation by the remaining versican splice variants. These mice are viable and fertile; however, they display major molecular alterations at the nodes of Ranvier. While the clustering of nodal sodium channels and paranodal structures appear in versican V2-deficient mice unaffected, the formation of the extracellular matrix surrounding the nodes is largely impaired. The conjoint loss of tenascin-R and phosphacan from the perinodal matrix provide strong evidence that versican V2, possibly controlled by a nodal receptor, organizes the extracellular matrix assembly in vivo. -
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. -
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. -
Cardiomyopathy
UNIVERSITY OF MINNESOTA PHYSICIANS OUTREACH LABS Submit this form along with the appropriate MOLECULAR DIAGNOSTICS (612) 273-8445 Molecular requisition (Molecular Diagnostics or DATE: TIME COLLECTED: PCU/CLINIC: Molecular NGS Oncology). AM PM PATIENT IDENTIFICATION DIAGNOSIS (Dx) / DIAGNOSIS CODES (ICD-9) - OUTPATIENTS ONLY SPECIMEN TYPE: o Blood (1) (2) (3) (4) PLEASE COLLECT 5-10CC IN ACD-A OR EDTA TUBE ORDERING PHYSICIAN NAME AND PHONE NUMBER: Tests can be ordered as a full panel, or by individual gene(s). Please contact the genetic counselor with any questions at 612-624-8948 or by pager at 612-899-3291. _______________________________________________ Test Ordered- EPIC: Next generation sequencing(Next Gen) Sunquest: NGS Brugada syndrome DMD Aortopathy Full panel DNAJC19 SCN5A DSP Full panel GPD1L Cardiomyopathy, familial MYH11 CACNA1C hypertrophic ACTA2 SCN1B Full panel MYLK KCNE3 ANKRD1 FBN2 SCN3B JPH2 SLC2A10 HCN4 PRKAG2 COL5A2 MYH7 COL5A1 MYL2 COL3A1 Cardiomyopathy ACTC1 CBS Cardiomyopathy, dilated CSRP3 SMAD3 Full panel TNNC1 TGFBR1 LDB3 MYH6 TGFBR2 LMNA VCL FBN1 ACTN2 MYOZ2 Arrhythmogenic right ventricular DSG2 PLN dysplasia NEXN CALR3 TNNT2 TNNT2 NEXN Full panel RBM20 TPM1 TGFB3 SCN5A MYBPC3 DSG2 MYH6 TNNI3 DSC2 TNNI3 MYL3 JUP TTN TTN RYR2 BAG3 MYLK2 TMEM43 DES Cardiomyopathy, familial DSP CRYAB EYA4 restrictive PKP2 Full panel Atrial fibrillation LAMA4 MYPN TNNI3 SGCD MYPN TNNT2 Full panel CSRP3 SCN5A MYBPC3 GJA5 TCAP ABCC9 ABCC9 SCN1B PLN SCN2B ACTC1 KCNQ1 MYH7 KCNE2 TMPO NPPA VCL NPPA TPM1 KCNA5 TNNC1 KCNJ2 GATAD1 4/1/2014 -
Minding the Calcium Store: Ryanodine Receptor Activation As a Convergent Mechanism of PCB Toxicity
Pharmacology & Therapeutics 125 (2010) 260–285 Contents lists available at ScienceDirect Pharmacology & Therapeutics journal homepage: www.elsevier.com/locate/pharmthera Associate Editor: Carey Pope Minding the calcium store: Ryanodine receptor activation as a convergent mechanism of PCB toxicity Isaac N. Pessah ⁎, Gennady Cherednichenko, Pamela J. Lein Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA 95616, USA article info abstract Keywords: Chronic low-level polychlorinated biphenyl (PCB) exposures remain a significant public health concern since Ryanodine receptor (RyR) results from epidemiological studies indicate that PCB burden is associated with immune system Calcium-induced calcium release dysfunction, cardiovascular disease, and impairment of the developing nervous system. Of these various Calcium regulation adverse health effects, developmental neurotoxicity has emerged as a particularly vulnerable endpoint in Polychlorinated biphenyls PCB toxicity. Arguably the most pervasive biological effects of PCBs could be mediated by their ability to alter Triclosan fi 2+ Bastadins the spatial and temporal delity of Ca signals through one or more receptor-mediated processes. This Polybrominated diphenylethers review will focus on our current knowledge of the structure and function of ryanodine receptors (RyRs) in Developmental neurotoxicity muscle and nerve cells and how PCBs and related non-coplanar structures alter these functions. The Activity dependent plasticity molecular and cellular mechanisms by which non-coplanar PCBs and related structures alter local and global Ca2+ signaling properties and the possible short and long-term consequences of these perturbations on neurodevelopment and neurodegeneration are reviewed. © 2009 Elsevier Inc. All rights reserved. Contents 1. Introduction ............................................... 260 2. Ryanodine receptor macromolecular complexes: significance to polychlorinated biphenyl-mediated Ca2+ dysregulation . -
Next Generation Sequencing for Molecular Confirmation of Hereditary
Arch Cardiol Mex. 2015;85(1):68---72 www.elsevier.com.mx SPECIAL ARTICLE Next generation sequencing for molecular confirmation of hereditary sudden cardiac death syndromes a,∗ b b b Manlio F. Márquez , David Cruz-Robles , Selene Ines-Real , Gilberto Vargas-Alarcón , a Manuel Cárdenas a Departamento de Electrofisiología, Instituto Nacional de Cardiología Ignacio Chávez, México, D.F., Mexico b Departamento de Biología Molecular, Instituto Nacional de Cardiología Ignacio Chávez, México, D.F., Mexico Received 26 March 2014; accepted 8 December 2014 KEYWORDS Abstract Hereditary sudden cardiac death syndromes comprise a wide range of diseases result- Arrhythmias; ing from alteration in cardiac ion channels. Genes involved in these syndromes represent diverse Hereditary sudden mutations that cause the altered encoding of the diverse proteins constituting these channels, cardiac death thus affecting directly the currents of the corresponding ions. In the present article we will syndromes; briefly review how to arrive to a clinical diagnosis and we will present the results of molecular Right ventricle genetic studies made in Mexican subjects attending the SCD Syndromes Clinic of the National arrhythmogenic Institute of Cardiology of Mexico City. cardiomyopathy; © 2014 Instituto Nacional de Cardiología Ignacio Chávez. Published by Masson Doyma México Brugada syndrome S.A. All rights reserved. PALABRAS CLAVE Confirmación diagnóstica molecular mediante secuenciación masiva de nueva Arritmias; generación (‘‘next generation sequencing’’) en síndromes hereditarios de muerte Síndromes súbita cardíaca hereditarios de Resumen Los síndromes hereditarios de muerte súbita cardíaca comprenden una amplia gama muerte súbita; Displasia de enfermedades resultantes de la alteración en los canales iónicos cardíacos. Los genes implicados en estos síndromes presentan mutaciones que causan alteraciones de las diversas Arritmogénica del proteínas que constituyen estos canales y que, por lo tanto, afectan directamente a las difer- ventriculo derecho; entes corrientes iónicas. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Non-Coding Rnas in the Cardiac Action Potential and Their Impact on Arrhythmogenic Cardiac Diseases
Review Non-Coding RNAs in the Cardiac Action Potential and Their Impact on Arrhythmogenic Cardiac Diseases Estefania Lozano-Velasco 1,2 , Amelia Aranega 1,2 and Diego Franco 1,2,* 1 Cardiovascular Development Group, Department of Experimental Biology, University of Jaén, 23071 Jaén, Spain; [email protected] (E.L.-V.); [email protected] (A.A.) 2 Fundación Medina, 18016 Granada, Spain * Correspondence: [email protected] Abstract: Cardiac arrhythmias are prevalent among humans across all age ranges, affecting millions of people worldwide. While cardiac arrhythmias vary widely in their clinical presentation, they possess shared complex electrophysiologic properties at cellular level that have not been fully studied. Over the last decade, our current understanding of the functional roles of non-coding RNAs have progressively increased. microRNAs represent the most studied type of small ncRNAs and it has been demonstrated that miRNAs play essential roles in multiple biological contexts, including normal development and diseases. In this review, we provide a comprehensive analysis of the functional contribution of non-coding RNAs, primarily microRNAs, to the normal configuration of the cardiac action potential, as well as their association to distinct types of arrhythmogenic cardiac diseases. Keywords: cardiac arrhythmia; microRNAs; lncRNAs; cardiac action potential Citation: Lozano-Velasco, E.; Aranega, A.; Franco, D. Non-Coding RNAs in the Cardiac Action Potential 1. The Electrical Components of the Adult Heart and Their Impact on Arrhythmogenic The adult heart is a four-chambered organ that propels oxygenated blood to the entire Cardiac Diseases. Hearts 2021, 2, body. It is composed of atrial and ventricular chambers, each of them with distinct left and 307–330. -
New Developments in Charcot–Marie–Tooth Neuropathy and Related Diseases
CE: Alpana; WCO 300505; Total nos of Pages: 10; WCO 300505 REVIEW CURRENT OPINION New developments in Charcot–Marie–Tooth neuropathy and related diseases Davide Pareyson, Paola Saveri, and Chiara Pisciotta Purpose of review Charcot–Marie–Tooth disease (CMT) and related neuropathies represent a heterogeneous group of hereditary disorders. The present review will discuss the most recent advances in the field. Recent findings Knowledge of CMT epidemiology and frequency of the main associated genes is increasing, with an overall prevalence estimated at 10–28/100 000. In the last years, the huge number of newly uncovered genes, thanks to next-generation sequencing techniques, is challenging the current classification of CMT. During the last 18 months other genes have been associated with CMT, such as PMP2, MORC2, NEFH, MME, and DGAT2. For the most common forms of CMT, numerous promising compounds are under study in cellular and animal models, mainly targeting either the protein degradation pathway or the protein overexpression. Consequently, efforts are devoted to develop responsive outcome measures and biomarkers for this overall slowly progressive disorder, with quantitative muscle MRI resulting the most sensitive-to-change measure. Summary This is a rapidly evolving field where better understanding of pathophysiology is paving the way to develop potentially effective treatments, part of which will soon be tested in patients. Intense research is currently devoted to prepare clinical trials and develop responsive outcome measures. Keywords -
X-Linked Diseases: Susceptible Females
REVIEW ARTICLE X-linked diseases: susceptible females Barbara R. Migeon, MD 1 The role of X-inactivation is often ignored as a prime cause of sex data include reasons why women are often protected from the differences in disease. Yet, the way males and females express their deleterious variants carried on their X chromosome, and the factors X-linked genes has a major role in the dissimilar phenotypes that that render women susceptible in some instances. underlie many rare and common disorders, such as intellectual deficiency, epilepsy, congenital abnormalities, and diseases of the Genetics in Medicine (2020) 22:1156–1174; https://doi.org/10.1038/s41436- heart, blood, skin, muscle, and bones. Summarized here are many 020-0779-4 examples of the different presentations in males and females. Other INTRODUCTION SEX DIFFERENCES ARE DUE TO X-INACTIVATION Sex differences in human disease are usually attributed to The sex differences in the effect of X-linked pathologic variants sex specific life experiences, and sex hormones that is due to our method of X chromosome dosage compensation, influence the function of susceptible genes throughout the called X-inactivation;9 humans and most placental mammals – genome.1 5 Such factors do account for some dissimilarities. compensate for the sex difference in number of X chromosomes However, a major cause of sex-determined expression of (that is, XX females versus XY males) by transcribing only one disease has to do with differences in how males and females of the two female X chromosomes. X-inactivation silences all X transcribe their gene-rich human X chromosomes, which is chromosomes but one; therefore, both males and females have a often underappreciated as a cause of sex differences in single active X.10,11 disease.6 Males are the usual ones affected by X-linked For 46 XY males, that X is the only one they have; it always pathogenic variants.6 Females are biologically superior; a comes from their mother, as fathers contribute their Y female usually has no disease, or much less severe disease chromosome.