Gene List HTG Edgeseq Oncology Biomarker Panel
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Investigation of the Immune Receptors CEACAM3 and CEACAM4
Investigation of the human immune receptors CEACAM3 and CEACAM4 Dissertation Zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften (Dr. rer. nat.) vorgelegt von Julia Delgado Tascón An der Universität Konstanz des Fachbereichs Biologie Konstanz, Oktober 2015 Konstanzer Online-Publikations-System (KOPS) URL: http://nbn-resolving.de/urn:nbn:de:bsz:352-0-306516 Tag der mündlichen Prüfung: 05.11.2015 Vorsitzender und mündlicher Prüfer: Herr Professor Dr. Bürkle 1. Referent und und mündlicher Prüfer: Herr Professor Dr. Hauck 2. Referent und und mündlicher Prüfer: Herr Professor Dr. Tschan, Universität Bern A mi familia Acknowledgements I would like to express my special gratitude to my advisor Prof. Dr. Christof Hauck. His patient guidance and enthusiastic encouragement during these four years of PhD were a crucial aid to my process. I’m very thankful for his willingness and for granting me with his time in search for valuable and constructive suggestions during the planning and development of this research work. This certainly allowed me to grow as a person and as a scientist. I would also like to thank my committee members: to Prof. Dr. Mario Tschan for giving me his academic support at this last phase of my PhD thesis, and to Prof. M.Dr. Alexander Bürkle for his wise advices accompanied with Spanish greetings along this time. My thanks are extended to every member of the AG Hauck as well. To Anne, Susana, Petra and Claudia: thank you very much for your technical and personal guidance during these years. I’m also thankful to my fellow colleagues for countless ‘Kaffeepausen’ full of jokes, nice discussions, and delicious vegan cakes. -
Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling
G C A T T A C G G C A T genes Review Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling Aoife A. Nolan 1, Nourhan K. Aboud 1, Walter Kolch 1,2,* and David Matallanas 1,* 1 Systems Biology Ireland, School of Medicine, University College Dublin, Belfield, Dublin 4, Ireland; [email protected] (A.A.N.); [email protected] (N.K.A.) 2 Conway Institute of Biomolecular & Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland * Correspondence: [email protected] (W.K.); [email protected] (D.M.) Abstract: Oncogenic RAS (Rat sarcoma) mutations drive more than half of human cancers, and RAS inhibition is the holy grail of oncology. Thirty years of relentless efforts and harsh disappointments have taught us about the intricacies of oncogenic RAS signalling that allow us to now get a pharma- cological grip on this elusive protein. The inhibition of effector pathways, such as the RAF-MEK-ERK pathway, has largely proven disappointing. Thus far, most of these efforts were aimed at blocking the activation of ERK. Here, we discuss RAF-dependent pathways that are regulated through RAF functions independent of catalytic activity and their potential role as targets to block oncogenic RAS signalling. We focus on the now well documented roles of RAF kinase-independent functions in apoptosis, cell cycle progression and cell migration. Keywords: RAF kinase-independent; RAS; MST2; ASK; PLK; RHO-α; apoptosis; cell cycle; cancer therapy Citation: Nolan, A.A.; Aboud, N.K.; Kolch, W.; Matallanas, D. Hidden Targets in RAF Signalling Pathways to Block Oncogenic RAS Signalling. -
Atlas Antibodies in Breast Cancer Research Table of Contents
ATLAS ANTIBODIES IN BREAST CANCER RESEARCH TABLE OF CONTENTS The Human Protein Atlas, Triple A Polyclonals and PrecisA Monoclonals (4-5) Clinical markers (6) Antibodies used in breast cancer research (7-13) Antibodies against MammaPrint and other gene expression test proteins (14-16) Antibodies identified in the Human Protein Atlas (17-14) Finding cancer biomarkers, as exemplified by RBM3, granulin and anillin (19-22) Co-Development program (23) Contact (24) Page 2 (24) Page 3 (24) The Human Protein Atlas: a map of the Human Proteome The Human Protein Atlas (HPA) is a The Human Protein Atlas consortium cell types. All the IHC images for Swedish-based program initiated in is mainly funded by the Knut and Alice the normal tissue have undergone 2003 with the aim to map all the human Wallenberg Foundation. pathology-based annotation of proteins in cells, tissues and organs expression levels. using integration of various omics The Human Protein Atlas consists of technologies, including antibody- six separate parts, each focusing on References based imaging, mass spectrometry- a particular aspect of the genome- 1. Sjöstedt E, et al. (2020) An atlas of the based proteomics, transcriptomics wide analysis of the human proteins: protein-coding genes in the human, pig, and and systems biology. mouse brain. Science 367(6482) 2. Thul PJ, et al. (2017) A subcellular map of • The Tissue Atlas shows the the human proteome. Science. 356(6340): All the data in the knowledge resource distribution of proteins across all eaal3321 is open access to allow scientists both major tissues and organs in the 3. -
Computational Genome-Wide Identification of Heat Shock Protein Genes in the Bovine Genome [Version 1; Peer Review: 2 Approved, 1 Approved with Reservations]
F1000Research 2018, 7:1504 Last updated: 08 AUG 2021 RESEARCH ARTICLE Computational genome-wide identification of heat shock protein genes in the bovine genome [version 1; peer review: 2 approved, 1 approved with reservations] Oyeyemi O. Ajayi1,2, Sunday O. Peters3, Marcos De Donato2,4, Sunday O. Sowande5, Fidalis D.N. Mujibi6, Olanrewaju B. Morenikeji2,7, Bolaji N. Thomas 8, Matthew A. Adeleke 9, Ikhide G. Imumorin2,10,11 1Department of Animal Breeding and Genetics, Federal University of Agriculture, Abeokuta, Nigeria 2International Programs, College of Agriculture and Life Sciences, Cornell University, Ithaca, NY, 14853, USA 3Department of Animal Science, Berry College, Mount Berry, GA, 30149, USA 4Departamento Regional de Bioingenierias, Tecnologico de Monterrey, Escuela de Ingenieria y Ciencias, Queretaro, Mexico 5Department of Animal Production and Health, Federal University of Agriculture, Abeokuta, Nigeria 6Usomi Limited, Nairobi, Kenya 7Department of Animal Production and Health, Federal University of Technology, Akure, Nigeria 8Department of Biomedical Sciences, Rochester Institute of Technology, Rochester, NY, 14623, USA 9School of Life Sciences, University of KwaZulu-Natal, Durban, 4000, South Africa 10School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, 30032, USA 11African Institute of Bioscience Research and Training, Ibadan, Nigeria v1 First published: 20 Sep 2018, 7:1504 Open Peer Review https://doi.org/10.12688/f1000research.16058.1 Latest published: 20 Sep 2018, 7:1504 https://doi.org/10.12688/f1000research.16058.1 Reviewer Status Invited Reviewers Abstract Background: Heat shock proteins (HSPs) are molecular chaperones 1 2 3 known to bind and sequester client proteins under stress. Methods: To identify and better understand some of these proteins, version 1 we carried out a computational genome-wide survey of the bovine 20 Sep 2018 report report report genome. -
Organ Level Protein Networks As a Reference for the Host Effects of the Microbiome
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Organ level protein networks as a reference for the host effects of the microbiome 2 3 Robert H. Millsa,b,c,d, Jacob M. Wozniaka,b, Alison Vrbanacc, Anaamika Campeaua,b, Benoit 4 Chassainge,f,g,h, Andrew Gewirtze, Rob Knightc,d, and David J. Gonzaleza,b,d,# 5 6 a Department of Pharmacology, University of California, San Diego, California, USA 7 b Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, 8 California, USA 9 c Department of Pediatrics, and Department of Computer Science and Engineering, University of 10 California, San Diego California, USA 11 d Center for Microbiome Innovation, University of California, San Diego, California, USA 12 e Center for Inflammation, Immunity and Infection, Institute for Biomedical Sciences, Georgia State 13 University, Atlanta, GA, USA 14 f Neuroscience Institute, Georgia State University, Atlanta, GA, USA 15 g INSERM, U1016, Paris, France. 16 h Université de Paris, Paris, France. 17 18 Key words: Microbiota, Tandem Mass Tags, Organ Proteomics, Gnotobiotic Mice, Germ-free Mice, 19 Protein Networks, Proteomics 20 21 # Address Correspondence to: 22 David J. Gonzalez, PhD 23 Department of Pharmacology and Pharmacy 24 University of California, San Diego 25 La Jolla, CA 92093 26 E-mail: [email protected] 27 Phone: 858-822-1218 28 1 Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 29 Abstract 30 Connections between the microbiome and health are rapidly emerging in a wide range of 31 diseases. -
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. -
Gene Targeting Therapies (Roy Alcalay)
Recent Developments in Gene - Targeted Therapies for Parkinson’s Disease Roy Alcalay, MD, MS Alfred and Minnie Bressler Associate Professor of Neurology Division of Movement Disorders Columbia University Medical Center Disclosures Funding: Dr. Alcalay is funded by the National Institutes of Health, the DOD, the Michael J. Fox Foundation and the Parkinson’s Foundation. Dr. Alcalay receives consultation fees from Genzyme/Sanofi, Restorbio, Janssen, and Roche. Gene Localizations Identified in PD Gene Symbol Protein Transmission Chromosome PARK1 SNCA α-synuclein AD 4q22.1 PARK2 PRKN parkin (ubiquitin ligase) AR 6q26 PARK3 ? ? AD 2p13 PARK4 SNCA triplication α-synuclein AD 4q22.1 PARK5 UCH-L1 ubiquitin C-terminal AD 4p13 hydrolase-L1 PARK6 PINK1 PTEN-induced kinase 1 AR 1p36.12 PARK7 DJ-1 DJ-1 AR 1p36.23 PARK8 LRRK2 leucine rich repeat kinase 2 AD 12q12 PARK9 ATP13A2 lysosomal ATPase AR 1p36.13 PARK10 ? ? (Iceland) AR 1p32 PARK11 GIGYF2 GRB10-interacting GYF protein 2 AD 2q37.1 PARK12 ? ? X-R Xq21-q25 PARK13 HTRA2 serine protease AD 2p13.1 PARK14 PLA2G6 phospholipase A2 (INAD) AR 22q13.1 PARK15 FBXO7 F-box only protein 7 AR 22q12.3 PARK16 ? Discovered by GWAS ? 1q32 PARK17 VPS35 vacuolar protein sorting 35 AD 16q11.2 PARK18 EIF4G1 initiation of protein synth AD 3q27.1 PARK19 DNAJC6 auxilin AR 1p31.3 PARK20 SYNJ1 synaptojanin 1 AR 21q22.11 PARK21 DNAJC13 8/RME-8 AD 3q22.1 PARK22 CHCHD2 AD 7p11.2 PARK23 VPS13C AR 15q22 Gene Localizations Identified in PD Disorder Symbol Protein Transmission Chromosome PD GBA β-glucocerebrosidase AD 1q21 SCA2 -
Structural Characterization of Polysaccharides from Cordyceps Militaris and Their Hypolipidemic Effects Cite This: RSC Adv.,2018,8,41012 in High Fat Diet Fed Mice†
RSC Advances View Article Online PAPER View Journal | View Issue Structural characterization of polysaccharides from Cordyceps militaris and their hypolipidemic effects Cite this: RSC Adv.,2018,8,41012 in high fat diet fed mice† Zhen-feng Huang, ‡ Ming-long Zhang,‡ Song Zhang,* Ya-hui Wang and Xue-wen Jiang Cordyceps militaris is a crude dietary therapeutic mushroom with high nutritional and medicinal values. Mushroom-derived polysaccharides have been found to possess antihyperglycemic and antihyperlipidemic activities. This study aimed to partially clarify the structural characterization and comparatively evaluate hypolipidemic potentials of intracellular- (IPCM) and extracellular polysaccharides of C. militaris (EPCM) in high fat diet fed mice. Results indicated that IPCM-2 is a-pyran polysaccharide with an average molecular weight of 32.5 kDa, was mainly composed of mannose, glucose and galactose with mass percentages of 51.94%, 10.54%, and 37.25%, respectively. EPCM-2 is an a-pyran Creative Commons Attribution 3.0 Unported Licence. polysaccharide with an average molecular weight of 20 kDa that is mainly composed of mannose, glucose and galactose with mass percentages of 44.51%, 18.33%, and 35.38%, respectively. In in vivo study, EPCM-1 treatment (100 mg kgÀ1 dÀ1) showed potential effects on improving serum lipid profiles of hyperlipidemic mice, reflected by decreasing serum total cholesterol (TC), triglyceride (TG) and low density lipoprotein-cholesterol (LDL-C) levels by 20.05%, 45.45% and 52.63%, respectively, while IPCM-1 treatment -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
Product Data Sheet
Product Data Sheet ExProfileTM Human AMPK Signaling Related Gene qPCR Array For focused group profiling of human AMPK signaling genes expression Cat. No. QG004-A (4 x 96-well plate, Format A) Cat. No. QG004-B (4 x 96-well plate, Format B) Cat. No. QG004-C (4 x 96-well plate, Format C) Cat. No. QG004-D (4 x 96-well plate, Format D) Cat. No. QG004-E (4 x 96-well plate, Format E) Plates available individually or as a set of 6. Each set contains 336 unique gene primer pairs deposited in one 96-well plate. Introduction The ExProfile human AMPK signaling related gene qPCR array profiles the expression of 336 human genes related to AMPK-mediated signal transduction. These genes are carefully chosen for their close pathway correlation based on a thorough literature search of peer-reviewed publications, mainly including genes that encode AMP-activated protein kinase complex,its regulators and targets involved in many important biological processes, such as glucose uptake, β-oxidation of fatty acids and modulation of insulin secretion. This array allows researchers to study the pathway-related genes to gain understanding of their roles in the different biological processes. QG004 plate 01: 84 unique gene PCR primer pairs QG004 plate 02: 84 unique gene PCR primer pairs QG004 plate 03: 84 unique gene PCR primer pairs QG004 plate 04: 84 unique gene PCR primer pairs Shipping and storage condition Shipped at room temperate Stable for at least 6 months when stored at -20°C Array format GeneCopoeia provides five qPCR array formats (A, B, C, D, and E) suitable for use with the following real- time cyclers. -
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. -
TNAP As a New Player in Chronic Inflammatory Conditions And
International Journal of Molecular Sciences Review TNAP as a New Player in Chronic Inflammatory Conditions and Metabolism Stephanie Graser 1,*, Daniel Liedtke 2,† and Franz Jakob 1,† 1 Bernhard-Heine-Center for Locomotion Research, Department of Orthopedics, Julius-Maximilians-University Würzburg, 97076 Würzburg, Germany; [email protected] 2 Institute for Human Genetics, Biocenter, Julius-Maximilians-University Würzburg, 97074 Würzburg, Germany; [email protected] * Correspondence: [email protected] † These authors contributed equally to this work. Abstract: This review summarizes important information on the ectoenzyme tissue-nonspecific alkaline phosphatase (TNAP) and gives a brief insight into the symptoms, diagnostics, and treatment of the rare disease Hypophosphatasia (HPP), which is resulting from mutations in the TNAP encoding ALPL gene. We emphasize the role of TNAP beyond its well-known contribution to mineralization processes. Therefore, above all, the impact of the enzyme on central molecular processes in the nervous system and on inflammation is presented here. Keywords: TNAP; Hypophosphatasia; HPP; mineralization; nervous system; inflammation 1. Structure, Function, and Substrates of TNAP Tissue-nonspecific alkaline phosphatase (TNAP) or liver/bone/kidney alkaline phos- phatase is an ectoenzyme that is anchored to the outer cell membrane (e.g. in osteoblasts) Citation: Graser, S.; Liedtke, D.; and to extracellular vesicles via its glycosyl-inositol-phosphate (GPI)-anchor [1,2]. TNAP Jakob, F. TNAP as a New Player in belongs to the family of alkaline phosphatases (AP) that comprises in humans three addi- Chronic Inflammatory Conditions tional tissue-specific isoforms: placental (PLAP, ALPP National Center for Biotechnology and Metabolism. Int.