Persistence, Engraftment, and Myogenesis of Frep Cells In
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RNA Sequencing Reveals a Slow to Fast Muscle Fiber Type Transition After Olanzapine Infusion in Rats
RESEARCH ARTICLE RNA Sequencing Reveals a Slow to Fast Muscle Fiber Type Transition after Olanzapine Infusion in Rats Christopher J. Lynch1*, Yuping Xu1, Andras Hajnal2, Anna C. Salzberg3, Yuka Imamura Kawasawa4,5,6 1 Department of Cellular and Molecular Physiology, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America, 2 Department of Neural and Behavioral Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America, 3 Department a11111 of Public Health Sciences, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America, 4 Department of Pharmacology, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America, 5 Department of Biochemistry and Molecular Biology, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America, 6 The Institute for Personalized Medicine, College of Medicine, Penn State University, Hershey, Pennsylvania, 17033, United States of America * [email protected] OPEN ACCESS Citation: Lynch CJ, Xu Y, Hajnal A, Salzberg AC, Kawasawa YI (2015) RNA Sequencing Reveals a Abstract Slow to Fast Muscle Fiber Type Transition after Olanzapine Infusion in Rats. PLoS ONE 10(4): Second generation antipsychotics (SGAs), like olanzapine, exhibit acute metabolic side ef- e0123966. doi:10.1371/journal.pone.0123966 fects leading to metabolic inflexibility, hyperglycemia, adiposity and diabetes. Understand- Academic Editor: Guillermo López Lluch, ing how SGAs affect the skeletal muscle transcriptome could elucidate approaches for Universidad Pablo de Olavide, Centro Andaluz de mitigating these side effects. Male Sprague-Dawley rats were infused intravenously with ve- Biología del Desarrollo-CSIC, SPAIN hicle or olanzapine for 24h using a dose leading to a mild hyperglycemia. -
Diseasespecific and Inflammationindependent Stromal
Full Length Arthritis & Rheumatism DOI 10.1002/art.37704 Disease-specific and inflammation-independent stromal alterations in spondyloarthritis synovitis Nataliya Yeremenko1,2, Troy Noordenbos1,2, Tineke Cantaert1,3, Melissa van Tok1,2, Marleen van de Sande1, Juan D. Cañete4, Paul P. Tak1,5*, Dominique Baeten1,2 1Department of Clinical Immunology and Rheumatology and 2Department of Experimental Immunology, Academic Medical Center/University of Amsterdam, the Netherlands. 3Department of Immunobiology, Yale University School of Medicine, New Haven, CT, USA. 4Department of Rheumatology, Hospital Clinic de Barcelona and IDIBAPS, Spain. 5Arthrogen B.V., Amsterdam, the Netherlands. *Currently also: GlaxoSmithKline, Stevenage, U.K. Corresponding author: Dominique Baeten, MD, PhD, Department of Clinical Immunology and Rheumatology, F4-105, Academic Medical Center/University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands. E-mail: [email protected] This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as an ‘Accepted Article’, doi: 10.1002/art.37704 © 2012 American College of Rheumatology Received: Apr 11, 2012; Revised: Jul 25, 2012; Accepted: Sep 06, 2012 Arthritis & Rheumatism Page 2 of 36 Abstract Objective: The molecular processes driving the distinct patterns of synovial inflammation and tissue remodelling in spondyloarthritis (SpA) versus rheumatoid arthritis (RA) remain largely unknown. Therefore, we aimed to identify novel and unsuspected disease- specific pathways in SpA by a systematic and unbiased synovial gene expression analysis. Methods: Differentially expressed genes were identified by pan-genomic microarray and confirmed by quantitative PCR and immunohistochemistry using synovial tissue biopsies of SpA (n=63), RA (n=28) and gout (n=9) patients. -
Genetic Mutations and Mechanisms in Dilated Cardiomyopathy
Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, … , Jessica R. Golbus, Megan J. Puckelwartz J Clin Invest. 2013;123(1):19-26. https://doi.org/10.1172/JCI62862. Review Series Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of congestive heart failure. In hypertrophic cardiomyopathy (HCM), cardiac output is limited by the thickened myocardium through impaired filling and outflow. Mutations in the genes encoding the thick filament components myosin heavy chain and myosin binding protein C (MYH7 and MYBPC3) together explain 75% of inherited HCMs, leading to the observation that HCM is a disease of the sarcomere. Many mutations are “private” or rare variants, often unique to families. In contrast, dilated cardiomyopathy (DCM) is far more genetically heterogeneous, with mutations in genes encoding cytoskeletal, nucleoskeletal, mitochondrial, and calcium-handling proteins. DCM is characterized by enlarged ventricular dimensions and impaired systolic and diastolic function. Private mutations account for most DCMs, with few hotspots or recurring mutations. More than 50 single genes are linked to inherited DCM, including many genes that also link to HCM. Relatively few clinical clues guide the diagnosis of inherited DCM, but emerging evidence supports the use of genetic testing to identify those patients at risk for faster disease progression, congestive heart failure, and arrhythmia. Find the latest version: https://jci.me/62862/pdf Review series Genetic mutations and mechanisms in dilated cardiomyopathy Elizabeth M. McNally, Jessica R. Golbus, and Megan J. Puckelwartz Department of Human Genetics, University of Chicago, Chicago, Illinois, USA. Genetic mutations account for a significant percentage of cardiomyopathies, which are a leading cause of conges- tive heart failure. -
Treatment of Aged Mice and Long-Term Durability of AAV-Mediated Gene Therapy in Two Mouse Models of LGMD Eric R
P.137 Treatment of Aged Mice and Long-term Durability of AAV-Mediated Gene Therapy in Two Mouse Models of LGMD Eric R. Pozsgai, Danielle A. Griffin, Ellyn L. Peterson, Amber Kempton, Oliver Rogers, Young-Eun Seo, Louise R. Rodino-Klapac Sarepta Therapeutics, Inc., Cambridge, Massachusetts, USA BACKGROUND RESULTS RESULTS (CONT’D) • The sarcoglycanopathies are a subset of autosomal recessive limb-girdle muscular dystrophies (LGMD) Figure 1. Expression analysis: Immunofluorescence staining and western blot on skeletal • Functional improvement was observed with significantly increased resistance to contraction-induced injury resulting from mutations in the sarcoglycans (α, β, γ, and δ-SG) leading to protein deficiency, loss of in the TA muscle (Figure 3). formation of the sarcoglycan complex, and loss of stabilization of the dystrophin-associated protein muscle indicating biomarker expression in aged, severely diseased muscle complex (DAPC). Figure 3. Functional analysis: Protection of force output following long-term treatment of • Sarcoglycanopathies present as progressive muscular dystrophies starting in the girdle muscles before aged SGCA-/- mice with severely diseased muscle extending to lower and upper extremity muscles, and can also present in the diaphragm and heart, resulting in respiratory and cardiac failure in specific patient subtypes. SKELETAL MUSCLE • Adeno-associated virus (AAV)-mediated gene transfer therapy has shown early signs of potential to treat sarcoglycanopathies. Key considerations include a systematic and stepwise -
Watsonjn2018.Pdf (1.780Mb)
UNIVERSITY OF CENTRAL OKLAHOMA Edmond, Oklahoma Department of Biology Investigating Differential Gene Expression in vivo of Cardiac Birth Defects in an Avian Model of Maternal Phenylketonuria A THESIS SUBMITTED TO THE GRADUATE FACULTY In partial fulfillment of the requirements For the degree of MASTER OF SCIENCE IN BIOLOGY By Jamie N. Watson Edmond, OK June 5, 2018 J. Watson/Dr. Nikki Seagraves ii J. Watson/Dr. Nikki Seagraves Acknowledgements It is difficult to articulate the amount of gratitude I have for the support and encouragement I have received throughout my master’s thesis. Many people have added value and support to my life during this time. I am thankful for the education, experience, and friendships I have gained at the University of Central Oklahoma. First, I would like to thank Dr. Nikki Seagraves for her mentorship and friendship. I lucked out when I met her. I have enjoyed working on this project and I am very thankful for her support. I would like thank Thomas Crane for his support and patience throughout my master’s degree. I would like to thank Dr. Shannon Conley for her continued mentorship and support. I would like to thank Liz Bullen and Dr. Eric Howard for their training and help on this project. I would like to thank Kristy Meyer for her friendship and help throughout graduate school. I would like to thank my committee members Dr. Robert Brennan and Dr. Lilian Chooback for their advisement on this project. Also, I would like to thank the biology faculty and staff. I would like to thank the Seagraves lab members: Jailene Canales, Kayley Pate, Mckayla Muse, Grace Thetford, Kody Harvey, Jordan Guffey, and Kayle Patatanian for their hard work and support. -
32-3099: PRKAB1 Recombinant Protein Description
9853 Pacific Heights Blvd. Suite D. San Diego, CA 92121, USA Tel: 858-263-4982 Email: [email protected] 32-3099: PRKAB1 Recombinant Protein Alternative Name : AMPK,HAMPKb,5'-AMP-activated protein kinase subunit beta-1,AMPK subunit beta-1,AMPKb,PRKAB1. Description Source : E.coli. PRKAB1 Human Recombinant produced in E.Coli is a single, non-glycosylated, polypeptide chain containing 293 amino acids (1-270 a.a.) and having a molecular mass of 32.8 kDa. The PRKAB1 is fused to a 23 amino acid His Tag at N- Terminus and purified by proprietary chromatographic techniques. 5'-AMP-activated protein kinase subunit beta-1 (PRKAB1) hinders protein, carbohydrate and lipid biosynthesis, in addition to cell growth and proliferation. AMPK is a heterotrimer comprised of an alpha catalytic subunit, and non-catalytic beta and gamma subunits. AMPK acts via direct phosphorylation of metabolic enzymes, and longer-term effects by phosphorylation of transcription regulators. PRKAB1 is a regulator of cellular polarity by remodeling the actin cytoskeleton; most likely by indirectly activating myosin. Beta non-catalytic subunit acts as a scaffold on which the AMPK complex compiles, through its C-terminus that joins alpha (PRKAA1 or PRKAA2) and gamma subunits (PRKAG1, PRKAG2 or PRKAG3). Product Info Amount : 5 µg Purification : Greater than 85% as determined by SDS-PAGE. The PRKAB1 protein solution (0.5mg/ml) contains 20mM Tris-HCl buffer (pH 8.0), 0.15M NaCl, Content : 10% glycerol and 1mM DTT. Store at 4°C if entire vial will be used within 2-4 weeks. Store, frozen at -20°C for longer periods of Storage condition : time. -
Human Kinome Profiling Identifies a Requirement for AMP-Activated
Human kinome profiling identifies a requirement for AMP-activated protein kinase during human cytomegalovirus infection Laura J. Terrya, Livia Vastagb,1, Joshua D. Rabinowitzb, and Thomas Shenka,2 aDepartment of Molecular Biology and bDepartment of Chemistry and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544 Contributed by Thomas Shenk, January 11, 2012 (sent for review December 29, 2011) Human cytomegalovirus (HCMV) modulates numerous cellular (7). Thus, the connections between AMPK activity and metabolic signaling pathways. Alterations in signaling are evident from the changes during HCMV infection have remained unclear. broad changes in cellular phosphorylation that occur during HCMV We confirmed the requirement for AMPK during infection, infection and from the altered activity of multiple kinases. Here we and we show that an AMPK antagonist, compound C, blocks report a comprehensive RNAi screen, which predicts that 106 cellular HCMV-induced changes to glycolysis and inhibits viral gene kinases influence growth of the virus, most of which were not expression. These studies argue that AMPK or a related, com- previously linked to HCMV replication. Multiple elements of the pound C-sensitive kinase is an essential contributor to metabolic AMP-activated protein kinase (AMPK) pathway scored in the screen. changes initiated by HCMV and provide unique insight into As a regulator of carbon and nucleotide metabolism, AMPK is poised potential antiviral strategies. to activate many of the metabolic pathways induced by HCMV infection. An AMPK inhibitor, compound C, blocked a substantial Results portion of HCMV-induced metabolic changes, inhibited the accumu- HumanKinomeScreenIdentifies Putative Effectors of HCMV Replication. lation of all HCMV proteins tested, and markedly reduced the We conducted an siRNA screen of the human kinome to perform an production of infectious progeny. -
140503 IPF Signatures Supplement Withfigs Thorax
Supplementary material for Heterogeneous gene expression signatures correspond to distinct lung pathologies and biomarkers of disease severity in idiopathic pulmonary fibrosis Daryle J. DePianto1*, Sanjay Chandriani1⌘*, Alexander R. Abbas1, Guiquan Jia1, Elsa N. N’Diaye1, Patrick Caplazi1, Steven E. Kauder1, Sabyasachi Biswas1, Satyajit K. Karnik1#, Connie Ha1, Zora Modrusan1, Michael A. Matthay2, Jasleen Kukreja3, Harold R. Collard2, Jackson G. Egen1, Paul J. Wolters2§, and Joseph R. Arron1§ 1Genentech Research and Early Development, South San Francisco, CA 2Department of Medicine, University of California, San Francisco, CA 3Department of Surgery, University of California, San Francisco, CA ⌘Current address: Novartis Institutes for Biomedical Research, Emeryville, CA. #Current address: Gilead Sciences, Foster City, CA. *DJD and SC contributed equally to this manuscript §PJW and JRA co-directed this project Address correspondence to Paul J. Wolters, MD University of California, San Francisco Department of Medicine Box 0111 San Francisco, CA 94143-0111 [email protected] or Joseph R. Arron, MD, PhD Genentech, Inc. MS 231C 1 DNA Way South San Francisco, CA 94080 [email protected] 1 METHODS Human lung tissue samples Tissues were obtained at UCSF from clinical samples from IPF patients at the time of biopsy or lung transplantation. All patients were seen at UCSF and the diagnosis of IPF was established through multidisciplinary review of clinical, radiological, and pathological data according to criteria established by the consensus classification of the American Thoracic Society (ATS) and European Respiratory Society (ERS), Japanese Respiratory Society (JRS), and the Latin American Thoracic Association (ALAT) (ref. 5 in main text). Non-diseased normal lung tissues were procured from lungs not used by the Northern California Transplant Donor Network. -
Limb-Girdle Muscular Dystrophy
www.ChildLab.com 800-934-6575 LIMB-GIRDLE MUSCULAR DYSTROPHY What is Limb-Girdle Muscular Dystrophy? Limb-Girdle Muscular Dystrophy (LGMD) is a group of hereditary disorders that cause progressive muscle weakness and wasting of the shoulders and pelvis (hips). There are at least 13 different genes that cause LGMD, each associated with a different subtype. Depending on the subtype of LGMD, the age of onset is variable (childhood, adolescence, or early adulthood) and can affect other muscles of the body. Many persons with LGMD eventually need the assistance of a wheelchair, and currently there is no cure. How is LGMD inherited? LGMD can be inherited by autosomal dominant (AD) or autosomal recessive (AR) modes. The AR subtypes are much more common than the AD types. Of the AR subtypes, LGMD2A (calpain-3) is the most common (30% of cases). LGMD2B (dysferlin) accounts for 20% of cases and the sarcoglycans (LGMD2C-2F) as a group comprise 25%-30% of cases. The various subtypes represent the different protein deficiencies that can cause LGMD. What testing is available for LGMD? Diagnosis of the LGMD subtypes requires biochemical and genetic testing. This information is critical, given that management of the disease is tailored to each individual and each specific subtype. Establishing the specific LGMD subtype is also important for determining inheritance and recurrence risks for the family. The first step in diagnosis for muscular dystrophy is usually a muscle biopsy. Microscopic and protein analysis of the biopsy can often predict the type of muscular dystrophy by analyzing which protein(s) is absent. A muscle biopsy will allow for targeted analysis of the appropriate LGMD gene(s) and can rule out the diagnosis of the more common dystrophinopathies (Duchenne and Becker muscular dystrophies). -
Sudden Cardiac Death: Use of Genetics in the Diagnosis
Sudden Cardiac Death: Use of Genetics in the diagnosis Ramon Brugada MD PhD [email protected] “Genetic testing is expensive; the system can not afford it” However, the real question is can we, physicians, afford not doing it? CORONARY ARTERY DISEASE CAUSES 80% OF SUDDEN CARDIAC DEATHS What do young people die from? From the patient to the research laboratory BRUGADA SYNDROME SHORT QT SCN5A SYNDROME KCNH2 HYPERTROPHIC LONG QT CARDIOMYOPATHY SYNDROME MYOSIN HEAVY CHAIN KCNQ1 DILATED CARDIOMYOPATHY MARFAN SYNDROME LAMIN A/C FIBRILLIN-1 Genetics of Sudden Cardiac Death Hypertrophic Cardiomyopathy Assymetric hypertrophy of the left ventricle. Most common cause of sudden cardiac death in the athlete. Steve R. Ommen, and Bernard J. Gersh Eur Heart J 2009 Dilated Cardiomyopathy Gene Symbol Gene Symbol Cardiac α-actin ACTC Telethonin (T-cap) TCAP β-Myosin heavy chain MYH α-Sarcoglycan SGCA Cardiac troponin T TNNT2 β-Sarcoglycan SGCB α-Tropomyosin TPM1 δ-Sarcoglycan SGCD Titin TTN Dystrophin DMD Arrhythmogenic Right Ventricular Dysplasia Right ventricular dilatation Fibro adipose myocardial substitution Sudden death often the first symptom Sudden Cardiac Death: Electrical Short QT syndrome Brugada syndrome CPVT Long QT syndrome Long QT syndrome: Diagnosis Short QT syndrome: Diagnosis Gollob MH et al. J Am Coll Cardiol 2011 Catecholaminergic polymorphic ventricular tachycardia Brugada Syndrome Diagnosis Genetic diseases associated with sudden cardiac death CARDIOMYOPATHIES CHANNELOPATHIES Sudden Death: Monogenic diseases Diseases associated with -
Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach
Cancers 2019, 11, x S1 of S9 Supplementary Materials: Personalized Prediction of Acquired Resistance to EGFR-Targeted Inhibitors Using a Pathway-Based Machine Learning Approach Young Rae Kim, Yong Wan Kim, Suh Eun Lee, Hye Won Yang and Sung Young Kim Table S1. Characteristics of individual studies. Sample Size Origin of Cancer Drug Dataset Platform S AR (Cell Lines) Lung cancer Agilent-014850 Whole Human GSE34228 26 26 (PC9) Genome Microarray 4x44K Gefitinib Epidermoid carcinoma Affymetrix Human Genome U133 GSE10696 3 3 (A431) Plus 2.0 Head and neck cancer Illumina HumanHT-12 V4.0 GSE62061 12 12 (Cal-27, SSC-25, FaDu, expression beadchip SQ20B) Erlotinib Head and neck cancer Illumina HumanHT-12 V4.0 GSE49135 3 3 (HN5) expression beadchip Lung cancer (HCC827, Illumina HumanHT-12 V3.0 GSE38310 3 6 ER3, T15-2) expression beadchip Lung cancer Illumina HumanHT-12 V3.0 GSE62504 1 2 (HCC827) expression beadchip Afatinib Lung cancer * Illumina HumanHT-12 V4.0 GSE75468 1 3 (HCC827) expression beadchip Head and neck cancer Affymetrix Human Genome U133 Cetuximab GSE21483 3 3 (SCC1) Plus 2.0 Array GEO, gene expression omnibus; GSE, gene expression series; S, sensitive; AR, acquired EGFR-TKI resistant; * Lung Cancer Cells Derived from Tumor Xenograft Model. Table S2. The performances of four penalized regression models. Model ACC precision recall F1 MCC AUROC BRIER Ridge 0.889 0.852 0.958 0.902 0.782 0.964 0.129 Lasso 0.944 0.957 0.938 0.947 0.889 0.991 0.042 Elastic Net 0.978 0.979 0.979 0.979 0.955 0.999 0.023 EPSGO Elastic Net 0.989 1.000 0.979 0.989 0.978 1.000 0.018 AUROC, area under curve of receiver operating characteristic; ACC, accuracy; MCC, Matthews correlation coefficient; EPSGO, Efficient Parameter Selection via Global Optimization algorithm. -
Anti-SGCA Picoband Antibody Catalog # ABO12191
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Anti-SGCA Picoband Antibody Catalog # ABO12191 Specification Anti-SGCA Picoband Antibody - Product Information Application WB Primary Accession Q16586 Host Rabbit Reactivity Human, Mouse, Rat Clonality Polyclonal Format Lyophilized Description Rabbit IgG polyclonal antibody for Alpha-sarcoglycan(SGCA) detection. Tested with WB in Human;Mouse;Rat. Reconstitution Add 0.2ml of distilled water will yield a Anti- SGCA Picoband antibody, ABO12191, concentration of 500ug/ml. Western blottingAll lanes: Anti SGCA (ABO12191) at 0.5ug/mlLane 1: Rat Skeletal Muscle Tissue Lysate at 50ugLane 2: Mouse Anti-SGCA Picoband Antibody - Additional Skeletal Muscle Tissue Lysate at Information 50ugPredicted bind size: 43KDObserved bind size: 43KD Gene ID 6442 Other Names Anti-SGCA Picoband Antibody - Alpha-sarcoglycan, Alpha-SG, 50 kDa Background dystrophin-associated glycoprotein, 50DAG, Adhalin, Dystroglycan-2, SGCA, ADL, DAG2 Alpha-sarcoglycan is a protein that in humans is encoded by the SGCA gene. This gene Calculated MW encodes a component of the 42875 MW KDa dystrophin-glycoprotein complex (DGC), which is critical to the stability of muscle fiber Application Details membranes and to the linking of the actin Western blot, 0.1-0.5 µg/ml, Mouse, Rat, cytoskeleton to the extracellular matrix. Its Human<br> expression is thought to be restricted to striated muscle. Mutations in this gene result in Subcellular Localization type 2D autosomal recessive limb-girdle Cell membrane, sarcolemma ; Single-pass muscular dystrophy. Multiple transcript type I membrane protein . Cytoplasm, variants encoding different isoforms have been cytoskeleton . found for this gene.