RT² Profiler PCR Array (96-Well Format and 384-Well [4 X 96] Format)
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Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
1 Metabolic Dysfunction Is Restricted to the Sciatic Nerve in Experimental
Page 1 of 255 Diabetes Metabolic dysfunction is restricted to the sciatic nerve in experimental diabetic neuropathy Oliver J. Freeman1,2, Richard D. Unwin2,3, Andrew W. Dowsey2,3, Paul Begley2,3, Sumia Ali1, Katherine A. Hollywood2,3, Nitin Rustogi2,3, Rasmus S. Petersen1, Warwick B. Dunn2,3†, Garth J.S. Cooper2,3,4,5* & Natalie J. Gardiner1* 1 Faculty of Life Sciences, University of Manchester, UK 2 Centre for Advanced Discovery and Experimental Therapeutics (CADET), Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK 3 Centre for Endocrinology and Diabetes, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, UK 4 School of Biological Sciences, University of Auckland, New Zealand 5 Department of Pharmacology, Medical Sciences Division, University of Oxford, UK † Present address: School of Biosciences, University of Birmingham, UK *Joint corresponding authors: Natalie J. Gardiner and Garth J.S. Cooper Email: [email protected]; [email protected] Address: University of Manchester, AV Hill Building, Oxford Road, Manchester, M13 9PT, United Kingdom Telephone: +44 161 275 5768; +44 161 701 0240 Word count: 4,490 Number of tables: 1, Number of figures: 6 Running title: Metabolic dysfunction in diabetic neuropathy 1 Diabetes Publish Ahead of Print, published online October 15, 2015 Diabetes Page 2 of 255 Abstract High glucose levels in the peripheral nervous system (PNS) have been implicated in the pathogenesis of diabetic neuropathy (DN). However our understanding of the molecular mechanisms which cause the marked distal pathology is incomplete. Here we performed a comprehensive, system-wide analysis of the PNS of a rodent model of DN. -
P190a Rhogap Induces CDH1 Expression and Cooperates with E-Cadherin to Activate LATS Kinases and Suppress Tumor Cell Growth
p190A RhoGAP induces CDH1 expression and cooperates with E-cadherin to activate LATS kinases and suppress tumor cell growth Ouyang, Hanyue; Luong, Phi; Frödin, Morten; Hansen, Steen H. Published in: Oncogene DOI: 10.1038/s41388-020-1385-2 Publication date: 2020 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Ouyang, H., Luong, P., Frödin, M., & Hansen, S. H. (2020). p190A RhoGAP induces CDH1 expression and cooperates with E-cadherin to activate LATS kinases and suppress tumor cell growth. Oncogene, 39(33), 5570- 5587. https://doi.org/10.1038/s41388-020-1385-2 Download date: 05. okt.. 2021 Oncogene (2020) 39:5570–5587 https://doi.org/10.1038/s41388-020-1385-2 ARTICLE p190A RhoGAP induces CDH1 expression and cooperates with E-cadherin to activate LATS kinases and suppress tumor cell growth 1 1 2 1 Hanyue Ouyang ● Phi Luong ● Morten Frödin ● Steen H. Hansen Received: 26 March 2020 / Revised: 9 June 2020 / Accepted: 29 June 2020 / Published online: 8 July 2020 © The Author(s) 2020. This article is published with open access Abstract The ARHGAP35 gene encoding p190A RhoGAP (p190A) is significantly altered by both mutation and allelic deletion in human cancer, but the functional implications of such alterations are not known. Here, we demonstrate for the first time that p190A is a tumor suppressor using a xenograft mouse model with carcinoma cells harboring defined ARHGAP35 alterations. In vitro, restoration of p190A expression in carcinoma cells promotes contact inhibition of proliferation (CIP) through activation of LATS kinases and phosphorylation of the proto-oncogenic transcriptional co-activator YAP. -
The Schizosaccharomyces Pombe Cdt2 Gene, a Target of G1-S Phase-Specific Transcription Factor Complex DSC1, Is Required for Mito
Copyright 2003 by the Genetics Society of America The Schizosaccharomyces pombe cdt2؉ Gene, a Target of G1-S Phase-Specific Transcription Factor Complex DSC1, Is Required for Mitotic and Premeiotic DNA Replication Shu-hei Yoshida,* Hiba Al-Amodi,† Taro Nakamura,* Christopher J. McInerny† and Chikashi Shimoda*,1 *Department of Biology, Graduate School of Science, Osaka City University, Osaka 558-8585, Japan and †Division of Biochemistry and Molecular Biology, Institute of Biomedical and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom Manuscript received November 16, 2002 Accepted for publication March 24, 2003 ABSTRACT We have defined five sev genes by genetic analysis of Schizosaccharomyces pombe mutants, which are defective in both proliferation and sporulation. sev1 ϩ/cdt2 ϩ was transcribed during the G1-S phase of the mitotic cell cycle, as well as during the premeiotic S phase. The mitotic expression of cdt2 ϩ was regulated by the MCB-DSC1 system. A mutant of a component of DSC1 affected cdt2 ϩ expression in vivo, and a cdt2 ϩ promoter fragment containing MCB motifs bound DSC1 in vitro. Cdt2 protein also accumulated in S phase and localized to the nucleus. cdt2 null mutants grew slowly at 30Њ and were unable to grow at 19Њ. These cdt2 mutants were also medially sensitive to hydroxyurea, camptothecin, and 4-nitroquinoline- 1-oxide and were synthetically lethal in combination with DNA replication checkpoint mutations. Flow cytometry analysis and pulsed-field gel electrophoresis revealed that S-phase progression was severely retarded in cdt2 mutants, especially at low temperatures. Under sporulation conditions, premeiotic DNA replication was impaired with meiosis I blocked. -
Research Article Characterization of the Equine Skeletal Muscle
McGivney et al. BMC Genomics 2010, 11:398 http://www.biomedcentral.com/1471-2164/11/398 RESEARCH ARTICLE Open Access CharacterizationResearch article of the equine skeletal muscle transcriptome identifies novel functional responses to exercise training Beatrice A McGivney1, Paul A McGettigan1, John A Browne1, Alexander CO Evans1,3, Rita G Fonseca2, Brendan J Loftus3, Amanda Lohan3, David E MacHugh1,3, Barbara A Murphy1, Lisa M Katz2 and Emmeline W Hill*1 Abstract Background: Digital gene expression profiling was used to characterize the assembly of genes expressed in equine skeletal muscle and to identify the subset of genes that were differentially expressed following a ten-month period of exercise training. The study cohort comprised seven Thoroughbred racehorses from a single training yard. Skeletal muscle biopsies were collected at rest from the gluteus medius at two time points: T1 - untrained, (9 ± 0.5 months old) and T2 - trained (20 ± 0.7 months old). Results: The most abundant mRNA transcripts in the muscle transcriptome were those involved in muscle contraction, aerobic respiration and mitochondrial function. A previously unreported over-representation of genes related to RNA processing, the stress response and proteolysis was observed. Following training 92 tags were differentially expressed of which 74 were annotated. Sixteen genes showed increased expression, including the mitochondrial genes ACADVL, MRPS21 and SLC25A29 encoded by the nuclear genome. Among the 58 genes with decreased expression, MSTN, a negative regulator of muscle growth, had the greatest decrease. Functional analysis of all expressed genes using FatiScan revealed an asymmetric distribution of 482 Gene Ontology (GO) groups and 18 KEGG pathways. -
Similarities and Differences in Extracellular Vesicle Profiles
biomedicines Article Similarities and Differences in Extracellular Vesicle Profiles between Ischaemic Stroke and Myocardial Infarction Laura Otero-Ortega 1,† , Elisa Alonso-López 1,† , María Pérez-Mato 1,†, Fernando Laso-García 1,† , Mari Carmen Gómez-de Frutos 1 , Luke Diekhorst 1 , María Laura García-Bermejo 2, Elisa Conde-Moreno 2 , Blanca Fuentes 1, María Alonso de Leciñana 1 , Eduardo Armada 3, Lorena Buiza-Palomino 4, Exuperio Díez-Tejedor 1,‡ and María Gutiérrez-Fernández 1,*,‡ 1 Neurological Sciences and Cerebrovascular Research Laboratory, Department of Neurology and Stroke Centre, Neuroscience Area of IdiPAZ, Hospital La Paz Institute for Health Research–IdiPAZ, La Paz University Hospital, Universidad Autónoma de Madrid, 28046 Madrid, Spain; [email protected] (L.O.-O.); [email protected] (E.A.-L.); [email protected] (M.P.-M.); [email protected] (F.L.-G.); [email protected] (M.C.G.-d.F.); [email protected] (L.D.); [email protected] (B.F.); [email protected] (M.A.d.L.); [email protected] (E.D.-T.) 2 Biomarkers and Therapeutic Targets Unit, Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), 28034 Madrid, Spain; [email protected] (M.L.G.-B.); [email protected] (E.C.-M.) 3 Acute Cardiac Care Unit, Cardiology Department, IdiPAZ Health Research Institute, 28046 Madrid, Spain; [email protected] 4 Clinical Analysis Department, La Paz University Hospital, 28046 Madrid, Spain; [email protected] * Correspondence: [email protected]; Tel.: +34-91-207-1028 † These authors share first author position. ‡ These authors contributed equally to this work. Citation: Otero-Ortega, L.; Abstract: Extracellular vesicles (EVs) are involved in intercellular signalling through the transfer of Alonso-López, E.; Pérez-Mato, M.; molecules during physiological and pathological conditions, such as ischaemic disease. -
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, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
RT² Profiler PCR Array (96-Well Format and 384-Well [4 X 96] Format)
RT² Profiler PCR Array (96-Well Format and 384-Well [4 x 96] Format) Rat Cell Junction PathwayFinder Cat. no. 330231 PARN-213ZA For pathway expression analysis Format For use with the following real-time cyclers RT² Profiler PCR Array, Applied Biosystems® models 5700, 7000, 7300, 7500, Format A 7700, 7900HT, ViiA™ 7 (96-well block); Bio-Rad® models iCycler®, iQ™5, MyiQ™, MyiQ2; Bio-Rad/MJ Research Chromo4™; Eppendorf® Mastercycler® ep realplex models 2, 2s, 4, 4s; Stratagene® models Mx3005P®, Mx3000P®; Takara TP-800 RT² Profiler PCR Array, Applied Biosystems models 7500 (Fast block), 7900HT (Fast Format C block), StepOnePlus™, ViiA 7 (Fast block) RT² Profiler PCR Array, Bio-Rad CFX96™; Bio-Rad/MJ Research models DNA Format D Engine Opticon®, DNA Engine Opticon 2; Stratagene Mx4000® RT² Profiler PCR Array, Applied Biosystems models 7900HT (384-well block), ViiA 7 Format E (384-well block); Bio-Rad CFX384™ RT² Profiler PCR Array, Roche® LightCycler® 480 (96-well block) Format F RT² Profiler PCR Array, Roche LightCycler 480 (384-well block) Format G RT² Profiler PCR Array, Fluidigm® BioMark™ Format H Sample & Assay Technologies Description The Rat Cell Junction PathwayFinder RT² Profiler PCR Array profiles the expression of 84 key genes encoding components of various subcellular macromolecular structures connecting cells to each other or to the extracellular matrix (ECM). Cell junctions include focal adhesions, tight junctions, gap junctions, adherens junctions, desmosomes, and hemidesmosomes, and each one plays a specific role in adhesion, communication, and transduction of mechanical force. Tight junctions seal adjacent epithelial cells together, preventing the passage of most dissolved molecules as well as membrane-bound lipids and proteins between the apical and basolateral epithelial surfaces. -
List of Down-Regulated Transcripts
Supplementary Table 1: List of down-regulated transcripts (Fold Change>1.7 and p<0.05). List of the transcipts downregulated by Tpr-Met in P27 cachectic gastrocnemius muscles. Shown are the transcripts gene annotation: Mus Musculus Entrez Gene ID, official symbol from NCBI, average (AVG) Log2 Ratio derived from Illumina microarrays (3 replicates/condition), fold change and p-value computations, Log2 ratio over AVG Log2 controls and full definition of the genes. All genes modulated with a fold change > 1.7 and p-value<0.05 are included. AVG Entrez Gene Fold Symbol Log2 T-test Ctrl Ctrl Ctrl TM TM TM Definition ID Change Ratio - - - - 26908 Eif2s3y 3.598 12.1 0.000 0.146 0.248 0.102 3.712 3.571 -3.510 eukaryotic translation initiation factor 2, subunit 3, structural gene Y-linked (Eif2s3y), mRNA. - - - 13628 Eef1a2 1.333 2.5 0.011 -0.444 0.261 0.183 1.503 0.950 -1.546 eukaryotic translation elongation factor 1 alpha 2 (Eef1a2), mRNA. - - - 13628 Eef1a2 1.298 2.5 0.031 -0.383 0.275 0.108 1.632 0.605 -1.656 eukaryotic translation elongation factor 1 alpha 2 (Eef1a2), mRNA. - - - 56222 Cited4 1.268 2.4 0.029 -0.466 0.035 0.431 1.109 0.889 -1.805 Cbp/p300-interacting transactivator, with Glu/Asp-rich carboxy-terminal domain, 4 (Cited4), mRNA. - - - 18810 Plec1 1.246 2.4 0.022 -0.440 0.327 0.113 1.303 0.779 -1.657 plectin 1 (Plec1), transcript variant 10, mRNA. - - - 20741 Spnb1 1.238 2.4 0.016 -0.384 0.314 0.071 1.129 0.902 -1.684 spectrin beta 1 (Spnb1), mRNA. -
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. -
Alpha;-Actinin-4 Promotes Metastasis in Gastric Cancer
Laboratory Investigation (2017) 97, 1084–1094 © 2017 USCAP, Inc All rights reserved 0023-6837/17 α-Actinin-4 promotes metastasis in gastric cancer Xin Liu and Kent-Man Chu Metastasis increases the mortality rate of gastric cancer, which is the third leading cause of cancer-associated deaths worldwide. This study aims to identify the genes promoting metastasis of gastric cancer (GC). A human cell motility PCR array was used to analyze a pair of tumor and non-tumor tissue samples from a patient with stage IV GC (T3N3M1). Expression of the dysregulated genes was then evaluated in GC tissue samples (n = 10) and cell lines (n =6) via qPCR. Expression of α-actinin-4 (ACTN4) was validated in a larger sample size (n = 47) by qPCR, western blot and immunohistochemistry. Knockdown of ACTN4 with specific siRNAs was performed in GC cells, and adhesion assays, transwell invasion assays and migration assays were used to evaluate the function of these cells. Expression of potential targets of ACTN4 were then evaluated by qPCR. Thirty upregulated genes (greater than twofold) were revealed by the PCR array. We focused on ACTN4 because it was upregulated in 6 out of 10 pairs of tissue samples and 5 out of 6 GC cell lines. Further study indicated that ACTN4 was upregulated in 22/32 pairs of tissue samples at stage III & IV (P = 0.0069). Knockdown of ACTN4 in GC cells showed no significant effect on cell proliferation, but significantly increased cell-matrix adhesion, as well as reduced migration and invasion of AGS, MKN7 and NCI-N87 cells.