Identification of Human Myometrial Target Genes of the Cyclic AMP
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$ Gene Symbol A B 3 C 4 D 9 E 10 F 11 G 12 H 13 I 14 J. K 17 L 18 M 19 N 20 O. P 22 R 26 S 27 T 30 U 32 V. W. X. Y. Z 33 A ® ® Gene Symbol Gene ID Antibody Monoclonal Antibody Polyclonal MaxPab Full-length Protein Partial-length Protein Antibody Pair KIt siRNA/Chimera Gene Symbol Gene ID Antibody Monoclonal Antibody Polyclonal MaxPab Full-length Protein Partial-length Protein Antibody Pair KIt siRNA/Chimera A1CF 29974 ● ● ADAMTS13 11093 ● ● ● ● ● A2M 2 ● ● ● ● ● ● ADAMTS20 80070 ● AACS 65985 ● ● ● ADAMTS5 11096 ● ● ● AANAT 15 ● ● ADAMTS8 11095 ● ● ● ● AATF 26574 ● ● ● ● ● ADAMTSL2 9719 ● AATK 9625 ● ● ● ● ADAMTSL4 54507 ● ● ABCA1 19 ● ● ● ● ● ADAR 103 ● ● ABCA5 23461 ● ● ADARB1 104 ● ● ● ● ABCA7 10347 ● ADARB2 105 ● ABCB9 23457 ● ● ● ● ● ADAT1 23536 ● ● ABCC4 10257 ● ● ● ● ADAT2 134637 ● ● ABCC5 10057 ● ● ● ● ● ADAT3 113179 ● ● ● ABCC8 6833 ● ● ● ● ADCY10 55811 ● ● ABCD2 225 ● ADD1 118 ● ● ● ● ● ● ABCD4 5826 ● ● ● ADD3 120 ● ● ● ABCG1 9619 ● ● ● ● ● ADH5 128 ● ● ● ● ● ● ABL1 25 ● ● ADIPOQ 9370 ● ● ● ● ● ABL2 27 ● ● ● ● ● ADK 132 ● ● ● ● ● ABO 28 ● ● ADM 133 ● ● ● ABP1 26 ● ● ● ● ● ADNP 23394 ● ● ● ● ABR 29 ● ● ● ● ● ADORA1 134 ● ● ACAA2 10449 ● ● ● ● ADORA2A 135 ● ● ● ● ● ● ● ACAN 176 ● ● ● ● ● ● ADORA2B 136 ● ● ACE 1636 ● ● ● ● ADRA1A 148 ● ● ● ● ACE2 59272 ● ● ADRA1B 147 ● ● ACER2 340485 ● ADRA2A 150 ● ● ACHE 43 ● ● ● ● ● ● ADRB1 153 ● ● ACIN1 22985 ● ● ● ADRB2 154 ● ● ● ● ● ACOX1 51 ● ● ● ● ● ADRB3 155 ● ● ● ● ACP5 54 ● ● ● ● ● ● ● ADRBK1 156 ● ● ● ● ACSF2 80221 ● ● ADRM1 11047 ● ● ● ● ACSF3 197322 ● ● AEBP1 165 ● ● ● ● ACSL4 2182 ● -
Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse
Welcome to More Choice CD Marker Handbook For more information, please visit: Human bdbiosciences.com/eu/go/humancdmarkers Mouse bdbiosciences.com/eu/go/mousecdmarkers Human and Mouse CD Marker Handbook Human and Mouse CD Marker Key Markers - Human Key Markers - Mouse CD3 CD3 CD (cluster of differentiation) molecules are cell surface markers T Cell CD4 CD4 useful for the identification and characterization of leukocytes. The CD CD8 CD8 nomenclature was developed and is maintained through the HLDA (Human Leukocyte Differentiation Antigens) workshop started in 1982. CD45R/B220 CD19 CD19 The goal is to provide standardization of monoclonal antibodies to B Cell CD20 CD22 (B cell activation marker) human antigens across laboratories. To characterize or “workshop” the antibodies, multiple laboratories carry out blind analyses of antibodies. These results independently validate antibody specificity. CD11c CD11c Dendritic Cell CD123 CD123 While the CD nomenclature has been developed for use with human antigens, it is applied to corresponding mouse antigens as well as antigens from other species. However, the mouse and other species NK Cell CD56 CD335 (NKp46) antibodies are not tested by HLDA. Human CD markers were reviewed by the HLDA. New CD markers Stem Cell/ CD34 CD34 were established at the HLDA9 meeting held in Barcelona in 2010. For Precursor hematopoetic stem cell only hematopoetic stem cell only additional information and CD markers please visit www.hcdm.org. Macrophage/ CD14 CD11b/ Mac-1 Monocyte CD33 Ly-71 (F4/80) CD66b Granulocyte CD66b Gr-1/Ly6G Ly6C CD41 CD41 CD61 (Integrin b3) CD61 Platelet CD9 CD62 CD62P (activated platelets) CD235a CD235a Erythrocyte Ter-119 CD146 MECA-32 CD106 CD146 Endothelial Cell CD31 CD62E (activated endothelial cells) Epithelial Cell CD236 CD326 (EPCAM1) For Research Use Only. -
The Title of the Article
Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
Molecular Mechanisms Involved Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis
Virginia Commonwealth University VCU Scholars Compass Theses and Dissertations Graduate School 2010 Molecular Mechanisms Involved Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis Ryan Fassnacht Virginia Commonwealth University Follow this and additional works at: https://scholarscompass.vcu.edu/etd Part of the Physiology Commons © The Author Downloaded from https://scholarscompass.vcu.edu/etd/2246 This Thesis is brought to you for free and open access by the Graduate School at VCU Scholars Compass. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of VCU Scholars Compass. For more information, please contact [email protected]. Ryan C. Fassnacht 2010 All Rights Reserved Molecular Mechanisms Involved in the Interaction Effects of HCV and Ethanol on Liver Cirrhosis A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science at Virginia Commonwealth University. by Ryan Christopher Fassnacht, B.S. Hampden Sydney University, 2005 M.S. Virginia Commonwealth University, 2010 Director: Valeria Mas, Ph.D., Associate Professor of Surgery and Pathology Division of Transplant Department of Surgery Virginia Commonwealth University Richmond, Virginia July 9, 2010 Acknowledgement The Author wishes to thank his family and close friends for their support. He would also like to thank the members of the molecular transplant team for their help and advice. This project would not have been possible with out the help of Dr. Valeria Mas and her endearing -
Cleveland Clinic Laboratories
Cleveland Clinic Laboratories Technical Update • May 2014 Cleveland Clinic Laboratories is dedicated to keeping you updated and informed about recent testing changes. That's why we are happy to provide this technical update on a monthly basis. Recently changed tests are bolded, and could include revisions to methodology, reference range, days performed or CPT code. For your convenience, tests are listed alphabetically and the order and billing codes are provided. If you wish to compare the new information with previous test demographics, refer to the Test Directory, which can be accessed at clevelandcliniclabs.com. Deleted tests and new tests are listed separately. Please update your database as necessary. For additional detail, contact Client Services at 216.444.5755 or 800.628.6816 or via email at [email protected]. Days Performed/Reported Specimen Requirement Special InformationComponent Change Test Discontinued Reference Range Test Update Name Change Methodology Order CodeBiling Code New Test Page # Summary of Changes CPT by Test Name 3 5-Hydroxyindolacetic Acid, Urine 3 11-Deoxycorticosterone Qt, Serum / Plasma 3 25-Hydroxyvitamin D2 and D3, Serum 9 Alpha-1 Antitrypsin (SERPINA1) Targeted Genotyping 3 Alpha-1-Antitrypsin Clearance 3 Alpha-1-Antitrypsin, Stool 3 Anti IgA Antibody 3 Anti Mullerian Hormone 3 Beta Galactosidase, Leukocytes 4 Bioavailable Testosterone / SHBG, Female & Child 4 BK Virus Quantitation, Urine 12 Buprenorphine & Metabolite, Confirmation / Quant, Urine 9 Buprenorphine Quant, Urine 4 Carnitine Free & Total, -
Edinburgh Research Explorer
Edinburgh Research Explorer International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list Citation for published version: Davenport, AP, Alexander, SPH, Sharman, JL, Pawson, AJ, Benson, HE, Monaghan, AE, Liew, WC, Mpamhanga, CP, Bonner, TI, Neubig, RR, Pin, JP, Spedding, M & Harmar, AJ 2013, 'International Union of Basic and Clinical Pharmacology. LXXXVIII. G protein-coupled receptor list: recommendations for new pairings with cognate ligands', Pharmacological reviews, vol. 65, no. 3, pp. 967-86. https://doi.org/10.1124/pr.112.007179 Digital Object Identifier (DOI): 10.1124/pr.112.007179 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: Pharmacological reviews Publisher Rights Statement: U.S. Government work not protected by U.S. copyright General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 02. Oct. 2021 1521-0081/65/3/967–986$25.00 http://dx.doi.org/10.1124/pr.112.007179 PHARMACOLOGICAL REVIEWS Pharmacol Rev 65:967–986, July 2013 U.S. -
Supplementary Data
Supplemental Data A novel mouse model of X-linked nephrogenic diabetes insipidus: Phenotypic analysis and therapeutic implications Jian Hua Li, Chung-Lin Chou, Bo Li, Oksana Gavrilova, Christoph Eisner, Jürgen Schnermann, Stasia A. Anderson, Chu-Xia Deng, Mark A. Knepper, and Jürgen Wess Supplemental Methods Metabolic cage studies. Animals were maintained in mouse metabolic cages (Hatteras Instruments, Cary, NC) under controlled temperature and light conditions (12 hr light and dark cycles). Mice received a fixed daily ration of 6.5 g of gelled diet per 20 g of body weight per day. The gelled diet was composed of 4 g of Basal Diet 5755 (Test Diet, Richmond, IN), 2.5 ml of deionized water, and 65 mg agar. Preweighted drinking water was provided ad libitum during the course of the study. Mice were acclimated in the metabolic cages for 1-2 days. Urine was collected under mineral oil in preweighted collection vials for successive 24 hr periods. Analysis of GPCR expression in mouse IMCD cells via TaqMan real-time qRT-PCR. Total RNA prepared from mouse IMCD tubule suspensions was reverse transcribed as described under Experimental Procedures. Tissues from ten 10-week old C57BL/6 WT mice were collected and pooled for each individual experiment. cDNA derived from 640 ng of RNA was mixed with an equal volume of TaqMan gene expression 2 x master mix (Applied Biosystems, Foster City, CA). 100 μl-aliquots of this mixture (corresponding to 80 ng of RNA) were added to each of the 8 fill ports of a 384-well plate of a mouse GPCR array panel (Applied Biosystems). -
Investigating Cone Photoreceptor Development Using Patient-Derived NRL Null Retinal Organoids
ARTICLE https://doi.org/10.1038/s42003-020-0808-5 OPEN Investigating cone photoreceptor development using patient-derived NRL null retinal organoids Alyssa Kallman1,11, Elizabeth E. Capowski 2,11, Jie Wang 3, Aniruddha M. Kaushik4, Alex D. Jansen2, Kimberly L. Edwards2, Liben Chen4, Cynthia A. Berlinicke3, M. Joseph Phillips2,5, Eric A. Pierce6, Jiang Qian3, ✉ ✉ Tza-Huei Wang4,7, David M. Gamm2,5,8 & Donald J. Zack 1,3,9,10 1234567890():,; Photoreceptor loss is a leading cause of blindness, but mechanisms underlying photoreceptor degeneration are not well understood. Treatment strategies would benefit from improved understanding of gene-expression patterns directing photoreceptor development, as many genes are implicated in both development and degeneration. Neural retina leucine zipper (NRL) is critical for rod photoreceptor genesis and degeneration, with NRL mutations known to cause enhanced S-cone syndrome and retinitis pigmentosa. While murine Nrl loss has been characterized, studies of human NRL can identify important insights for human retinal development and disease. We utilized iPSC organoid models of retinal development to molecularly define developmental alterations in a human model of NRL loss. Consistent with the function of NRL in rod fate specification, human retinal organoids lacking NRL develop S- opsin dominant photoreceptor populations. We report generation of two distinct S-opsin expressing populations in NRL null retinal organoids and identify MEF2C as a candidate regulator of cone development. 1 Institute of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, USA. 2 Waisman Center, University of Wisconsin-Madison, Madison, USA. 3 Department of Ophthalmology, Wilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, USA. -
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. -
Biochemical Society Focused Meetings Proteases A
ORE Open Research Exeter TITLE Proteases and caspase-like activity in the yeast Saccharomyces cerevisiae. AUTHORS Wilkinson, D; Ramsdale, M JOURNAL Biochemical Society Transactions DEPOSITED IN ORE 18 November 2013 This version available at http://hdl.handle.net/10871/13957 COPYRIGHT AND REUSE Open Research Exeter makes this work available in accordance with publisher policies. A NOTE ON VERSIONS The version presented here may differ from the published version. If citing, you are advised to consult the published version for pagination, volume/issue and date of publication Biochemical Society Transactions (2011) XX, (XX-XX) (Printed in Great Britain) Biochemical Society Focused Meetings Proteases and caspase-like activity in the yeast Saccharomyces cerevisiae Derek Wilkinson and Mark Ramsdale1 Biosciences, University of Exeter, Geoffrey Pope Building, Stocker Road, Exeter, EX4 4QD Key words: Programmed cell death, apoptosis, necrosis, proteases, caspases, Saccharomyces cerevisiae. Abbreviations used: PCD, programmed cell death; ROS, reactive oxygen species; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; ER, endoplasmic reticulum; MS, mass spectrometry. 1email [email protected] Abstract A variety of proteases have been implicated in yeast PCD including the metacaspase, Mca1 and the separase Esp1, the HtrA-like serine protease Nma111, the cathepsin-like serine carboxypeptideases and a range of vacuolar proteases. Proteasomal activity is also shown to have an important role in determining cell fate, with both pro- and anti-apoptotic roles. Caspase-3, -6- and -8 like activities are detected upon stimulation of yeast PCD, but not all of this activity is associated with Mca1, implicating other proteases with caspase-like activity in the yeast cell death response. -
Regulation and Evolutionary Origins of Repulsive
REGULATION AND EVOLUTIONARY ORIGINS OF REPULSIVE GUIDANCE MOLECULE C / HEMOJUVELIN EXPRESSION: A MUSCLE-ENRICHED GENE INVOLVED IN IRON METABOLISM by Christopher John Severyn B.A. (University of California, Berkeley) 2002 A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in BIOCHEMISTRY AND MOLECULAR BIOLOGY Presented to the Department of Biochemistry & Molecular Biology OREGON HEALTH & SCIENCE UNIVERSITY School of Medicine July 2010 Department of Biochemistry & Molecular Biology, School of Medicine OREGON HEALTH & SCIENCE UNIVERSITY _________________________________________________ CERTIFICATE OF APPROVAL _________________________________________________ This is to certify that the Ph.D. dissertation of Christopher J. Severyn has been approved by the following: __________________________ Peter Rotwein, M.D., dissertation advisor Professor of Biochemistry and Department Chair __________________________ Maureen Hoatlin, Ph.D., committee chair Associate Professor of Biochemistry __________________________ Matt Thayer, Ph.D., committee member Professor of Biochemistry __________________________ Ujwal Shinde, Ph.D., committee member Professor of Biochemistry __________________________ Jim Lundblad, M.D., Ph.D., committee member Associate Professor of Medicine and Chief of Endocrinology TABLE OF CONTENTS Page List of Tables iii List of Figures iv List of Abbreviations vii Acknowledgements xiv Publications arising from this Dissertation xvi Abstract xvii Key words xix Chapter 1: Introduction 1. 1 General Overview 2 1. 2 Expression and Regulation of RGMc 3 1. 3 Gene Regulation: Transcription from an evolutionary perspective 4 1. 4 Gene Regulation: Translation 6 1. 5 Iron Metabolism in Eukaryotes 6 1. 6 Dissertation Overview 7 Chapter 2: Repulsive Guidance Molecule Family 2. 1 Summary 15 2. 2 Introduction 16 2. 3 RGMa 16 2. 4 RGMb 21 2. -
Datasheet A11267-1 Anti-ZNF318 Antibody
Product datasheet Anti-ZNF318 Antibody Catalog Number: A11267-1 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Basic Information Product Name Anti-ZNF318 Antibody Gene Name ZNF318 Source Rabbit IgG Species Reactivity human, rat Tested Application WB, FCM, Direct ELISA Contents 500 ug/ml antibody with PBS ,0.02% NaN3 , 1 mg BSA and 50% glycerol. Immunogen E.coli-derived human ZNF318 recombinant protein (Position: E680-Q1197). Purification Immunogen affinity purified. Observed MW 290KD Dilution Ratios Western blot: 1:500-2000 Flow cytometry (FCM): 1-3μg/1x106 cells Direct ELISA: 1:100-1000 Storage 12 months from date of receipt,-20℃ as supplied.6 months 2 to 8℃ after reconstitution. Avoid repeated freezing and thawing Background Information Zinc finger protein 318 is a protein that in humans is encoded by the ZNF318 gene. ZNF318 encodes a nuclear protein with a zinc finger motif of the Cys2-His2 type that is a novel corepressor of androgen receptor (AR). Reference Anti-ZNF318 Antibody被引用在0文献中。 暂无引用 FOR RESEARCH USE ONLY. NOT FOR DIAGNOSTIC AND CLINICAL USE. 1 Product datasheet Anti-ZNF318 Antibody Catalog Number: A11267-1 BOSTER BIOLOGICAL TECHNOLOGY Special NO.1, International Enterprise Center, 2nd Guanshan Road, Wuhan, China Web: www.boster.com.cn Phone: +86 27 67845390 Fax: +86 27 67845390 Email: [email protected] Selected Validation Data Figure 1. Western blot Figure 2. Flow cytometry analysis of anti- ZNF318 analysis of A431 cell Antibody (A11267-1).