Supplementary Tables Supplementary Table S1. a List of 3,039 Genes
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Identification and Developmental Expression of the Full Complement Of
Goldstone et al. BMC Genomics 2010, 11:643 http://www.biomedcentral.com/1471-2164/11/643 RESEARCH ARTICLE Open Access Identification and developmental expression of the full complement of Cytochrome P450 genes in Zebrafish Jared V Goldstone1, Andrew G McArthur2, Akira Kubota1, Juliano Zanette1,3, Thiago Parente1,4, Maria E Jönsson1,5, David R Nelson6, John J Stegeman1* Abstract Background: Increasing use of zebrafish in drug discovery and mechanistic toxicology demands knowledge of cytochrome P450 (CYP) gene regulation and function. CYP enzymes catalyze oxidative transformation leading to activation or inactivation of many endogenous and exogenous chemicals, with consequences for normal physiology and disease processes. Many CYPs potentially have roles in developmental specification, and many chemicals that cause developmental abnormalities are substrates for CYPs. Here we identify and annotate the full suite of CYP genes in zebrafish, compare these to the human CYP gene complement, and determine the expression of CYP genes during normal development. Results: Zebrafish have a total of 94 CYP genes, distributed among 18 gene families found also in mammals. There are 32 genes in CYP families 5 to 51, most of which are direct orthologs of human CYPs that are involved in endogenous functions including synthesis or inactivation of regulatory molecules. The high degree of sequence similarity suggests conservation of enzyme activities for these CYPs, confirmed in reports for some steroidogenic enzymes (e.g. CYP19, aromatase; CYP11A, P450scc; CYP17, steroid 17a-hydroxylase), and the CYP26 retinoic acid hydroxylases. Complexity is much greater in gene families 1, 2, and 3, which include CYPs prominent in metabolism of drugs and pollutants, as well as of endogenous substrates. -
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. -
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. -
Datasheet PB1029 Anti-AEBP2 Antibody
Product datasheet Anti-AEBP2 Antibody Catalog Number: PB1029 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-AEBP2 Antibody Gene Name AEBP2 Source Rabbit IgG Species Reactivity human,mouse,rat Tested Application WB,IHC-P,ICC/IF,FCM Contents 500ug/ml antibody with PBS ,0.02% NaN3 , 1mg BSA and 50% glycerol. Immunogen E.coli-derived human AEBP2 recombinant protein (Position: K424-Q517). Human AEBP2 shares 98.8% amino acid (aa) sequence identity with mouse AEBP2. Purification Immunogen affinity purified. Observed MW 54KD Dilution Ratios Western blot: 1:500-2000 Immunohistochemistry(Paraffin-embedded Section): 1:50-400 Immunocytochemistry/Immunofluorescence (ICC/IF): 1:50-400 Flow cytometry (FCM): 1-3μg/1x106 cells Storage 12 months from date of receipt,-20℃ as supplied.6 months 2 to 8℃ after reconstitution. Avoid repeated freezing and thawing Background Information Adipocyte Enhancer-Binding Protein is a zinc finger protein that in humans is encoded by the evolutionarily well-conserved gene AEBP2. This gene is mapped to 12p12.3. AEBP2 is a DNA-binding transcriptional repressor. It may regulate the migration and development of the neural crest cells through the PRC2-mediated epigenetic mechanism and is most likely a targeting protein for the mammalian PRC2 complex. Reference Anti-AEBP2 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-AEBP2 Antibody Catalog Number: PB1029 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. -
Regulation of Transcription and Regulatory Networks for Muscle Growth * * * * A
Regulation Of Transcription And Regulatory Networks For Muscle Growth * * * * A. Reverter , N.J. Hudson , Q. Gu and B.P. Dalrymple Introduction The advent of microarray gene expression technology has provided animal scientists with an unprecedented ability to profile the transcriptional changes during skeletal muscle growth. With respect to meat quality, most of the effort has concentrated on the understanding of fat and energy metabolism (reviewed by Hausman et al . (2009)). Graugnard et al . (2009) explored the network among 31 genes associated with aspects of adipogenesis and energy metabolism in bovine skeletal muscle and in response to two distinct diets. Also, Freyssenet (2007) reviewed the roles that energy-sensing molecules and mitochondria have in the regulation of gene expression in muscle. However, other mechanisms such as cell cycle, glycolysis, extra-cellular matrix, ribosomal proteins and the immune system play a significant role in development, and this role can work in a tissue-specific manner. Hudson et al . (2009a) reported various functional modules underpinning the transcriptional regulation of bovine skeletal muscle. The authors integrated a total of six gene co-expression networks, each developed using the PCIT algorithm (Reverter and Chan (2008)), and proposed a Module-to-Regulator heuristic by which those transcription factors (TF) with the highest average absolute correlation co-expression with the genes present in each module are deemed to be the relevant regulators. However, this Module-to-Regulator approach failed to capture some well-known regulators of muscle fibre type composition, and the use of more sophisticated methods such as the differential wiring approach of Hudson et al . -
Transcriptomic Characterization of Fibrolamellar Hepatocellular
Transcriptomic characterization of fibrolamellar PNAS PLUS hepatocellular carcinoma Elana P. Simona, Catherine A. Freijeb, Benjamin A. Farbera,c, Gadi Lalazara, David G. Darcya,c, Joshua N. Honeymana,c, Rachel Chiaroni-Clarkea, Brian D. Dilld, Henrik Molinad, Umesh K. Bhanote, Michael P. La Quagliac, Brad R. Rosenbergb,f, and Sanford M. Simona,1 aLaboratory of Cellular Biophysics, The Rockefeller University, New York, NY 10065; bPresidential Fellows Laboratory, The Rockefeller University, New York, NY 10065; cDivision of Pediatric Surgery, Department of Surgery, Memorial Sloan-Kettering Cancer Center, New York, NY 10065; dProteomics Resource Center, The Rockefeller University, New York, NY 10065; ePathology Core Facility, Memorial Sloan-Kettering Cancer Center, New York, NY 10065; and fJohn C. Whitehead Presidential Fellows Program, The Rockefeller University, New York, NY 10065 Edited by Susan S. Taylor, University of California, San Diego, La Jolla, CA, and approved September 22, 2015 (received for review December 29, 2014) Fibrolamellar hepatocellular carcinoma (FLHCC) tumors all carry a exon of DNAJB1 and all but the first exon of PRKACA. This deletion of ∼400 kb in chromosome 19, resulting in a fusion of the produced a chimeric RNA transcript and a translated chimeric genes for the heat shock protein, DNAJ (Hsp40) homolog, subfam- protein that retains the full catalytic activity of wild-type PKA. ily B, member 1, DNAJB1, and the catalytic subunit of protein ki- This chimeric protein was found in 15 of 15 FLHCC patients nase A, PRKACA. The resulting chimeric transcript produces a (21) in the absence of any other recurrent mutations in the DNA fusion protein that retains kinase activity. -
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. -
Synonymous Single Nucleotide Polymorphisms in Human Cytochrome
DMD Fast Forward. Published on February 9, 2009 as doi:10.1124/dmd.108.026047 DMD #26047 TITLE PAGE: A BIOINFORMATICS APPROACH FOR THE PHENOTYPE PREDICTION OF NON- SYNONYMOUS SINGLE NUCLEOTIDE POLYMORPHISMS IN HUMAN CYTOCHROME P450S LIN-LIN WANG, YONG LI, SHU-FENG ZHOU Department of Nutrition and Food Hygiene, School of Public Health, Peking University, Beijing 100191, P. R. China (LL Wang & Y Li) Discipline of Chinese Medicine, School of Health Sciences, RMIT University, Bundoora, Victoria 3083, Australia (LL Wang & SF Zhou). 1 Copyright 2009 by the American Society for Pharmacology and Experimental Therapeutics. DMD #26047 RUNNING TITLE PAGE: a) Running title: Prediction of phenotype of human CYPs. b) Author for correspondence: A/Prof. Shu-Feng Zhou, MD, PhD Discipline of Chinese Medicine, School of Health Sciences, RMIT University, WHO Collaborating Center for Traditional Medicine, Bundoora, Victoria 3083, Australia. Tel: + 61 3 9925 7794; fax: +61 3 9925 7178. Email: [email protected] c) Number of text pages: 21 Number of tables: 10 Number of figures: 2 Number of references: 40 Number of words in Abstract: 249 Number of words in Introduction: 749 Number of words in Discussion: 1459 d) Non-standard abbreviations: CYP, cytochrome P450; nsSNP, non-synonymous single nucleotide polymorphism. 2 DMD #26047 ABSTRACT Non-synonymous single nucleotide polymorphisms (nsSNPs) in coding regions that can lead to amino acid changes may cause alteration of protein function and account for susceptivity to disease. Identification of deleterious nsSNPs from tolerant nsSNPs is important for characterizing the genetic basis of human disease, assessing individual susceptibility to disease, understanding the pathogenesis of disease, identifying molecular targets for drug treatment and conducting individualized pharmacotherapy. -
Supplemental Materials ZNF281 Enhances Cardiac Reprogramming
Supplemental Materials ZNF281 enhances cardiac reprogramming by modulating cardiac and inflammatory gene expression Huanyu Zhou, Maria Gabriela Morales, Hisayuki Hashimoto, Matthew E. Dickson, Kunhua Song, Wenduo Ye, Min S. Kim, Hanspeter Niederstrasser, Zhaoning Wang, Beibei Chen, Bruce A. Posner, Rhonda Bassel-Duby and Eric N. Olson Supplemental Table 1; related to Figure 1. Supplemental Table 2; related to Figure 1. Supplemental Table 3; related to the “quantitative mRNA measurement” in Materials and Methods section. Supplemental Table 4; related to the “ChIP-seq, gene ontology and pathway analysis” and “RNA-seq” and gene ontology analysis” in Materials and Methods section. Supplemental Figure S1; related to Figure 1. Supplemental Figure S2; related to Figure 2. Supplemental Figure S3; related to Figure 3. Supplemental Figure S4; related to Figure 4. Supplemental Figure S5; related to Figure 6. Supplemental Table S1. Genes included in human retroviral ORF cDNA library. Gene Gene Gene Gene Gene Gene Gene Gene Symbol Symbol Symbol Symbol Symbol Symbol Symbol Symbol AATF BMP8A CEBPE CTNNB1 ESR2 GDF3 HOXA5 IL17D ADIPOQ BRPF1 CEBPG CUX1 ESRRA GDF6 HOXA6 IL17F ADNP BRPF3 CERS1 CX3CL1 ETS1 GIN1 HOXA7 IL18 AEBP1 BUD31 CERS2 CXCL10 ETS2 GLIS3 HOXB1 IL19 AFF4 C17ORF77 CERS4 CXCL11 ETV3 GMEB1 HOXB13 IL1A AHR C1QTNF4 CFL2 CXCL12 ETV7 GPBP1 HOXB5 IL1B AIMP1 C21ORF66 CHIA CXCL13 FAM3B GPER HOXB6 IL1F3 ALS2CR8 CBFA2T2 CIR1 CXCL14 FAM3D GPI HOXB7 IL1F5 ALX1 CBFA2T3 CITED1 CXCL16 FASLG GREM1 HOXB9 IL1F6 ARGFX CBFB CITED2 CXCL3 FBLN1 GREM2 HOXC4 IL1F7 -
A Comprehensive Analysis of the Expression of Crystallins in Mouse Retina Jinghua Xi Washington University School of Medicine in St
Washington University School of Medicine Digital Commons@Becker Open Access Publications 2003 A comprehensive analysis of the expression of crystallins in mouse retina Jinghua Xi Washington University School of Medicine in St. Louis Rafal Farjo University of Michigan - Ann Arbor Shigeo Yoshida University of Michigan - Ann Arbor Timothy S. Kern Case Western Reserve University Anand Swaroop University of Michigan - Ann Arbor See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Recommended Citation Xi, Jinghua; Farjo, Rafal; Yoshida, Shigeo; Kern, Timothy S.; Swaroop, Anand; and Andley, Usha P., ,"A comprehensive analysis of the expression of crystallins in mouse retina." Molecular Vision.9,. 410-419. (2003). https://digitalcommons.wustl.edu/open_access_pubs/1801 This Open Access Publication is brought to you for free and open access by Digital Commons@Becker. It has been accepted for inclusion in Open Access Publications by an authorized administrator of Digital Commons@Becker. For more information, please contact [email protected]. Authors Jinghua Xi, Rafal Farjo, Shigeo Yoshida, Timothy S. Kern, Anand Swaroop, and Usha P. Andley This open access publication is available at Digital Commons@Becker: https://digitalcommons.wustl.edu/open_access_pubs/1801 Molecular Vision 2003; 9:410-9 <http://www.molvis.org/molvis/v9/a53> © 2003 Molecular Vision Received 28 May 2003 | Accepted 19 August 2003 | Published 28 August 2003 A comprehensive analysis of the expression of crystallins in mouse retina Jinghua Xi,1 Rafal Farjo,3 Shigeo Yoshida,3 Timothy S. Kern,5 Anand Swaroop,3,4 Usha P. Andley1,2 Departments of 1Ophthalmology and Visual Sciences and 2Biochemistry and Molecular Biophysics, Washington University School of Medicine, St. -
Related Macular Degeneration and Cutis Laxa
UvA-DARE (Digital Academic Repository) Genetic studies of age-related macular degeneration Baas, D.C. Publication date 2012 Document Version Final published version Link to publication Citation for published version (APA): Baas, D. C. (2012). Genetic studies of age-related macular degeneration. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:05 Oct 2021 G������ S������ �� A��-������� M������ D����������� D����������� M������ G������ S������ �� A��-������� | 2012 D�������� C. B��� G������ S������ �� A��-������� M������ D����������� D�������� C. B��� cover.indd 1 31-10-12 08:36 Genetic Studies of Age-related Macular Degeneration Dominique C. Baas Chapter 0.indd 1 23-10-12 19:24 The research described in this thesis was conducted at the Netherlands Institute for Neuroscience (NIN), an institute of the Royal Netherlands Academy of Arts and Sciences, Department of Clinical and Molecular Ophthalmogenetics, Amsterdam, The Netherlands. -
Hepatic Gene Expression of Bile Acid Synthesis Genes from Wild-Type and Fxr−/− Mice
A 2.0 Acox2 B 2.0 Akr1c14 C 2.0 Akr1d1 D 2.0 Amacr ** 1.5 1.5 1.5 1.5 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA 0.0 0.0 0.0 0.0 GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h FXR WT Fxr−/− FXR WT Fxr−/− FXR WT Fxr−/− FXR WT Fxr−/− E F 2.0 Cyp7b1 2.0 Cyp27a1 G 2.0 Cyp39a1 H 2.0 Hsd3b7 1.5 1.5 1.5 1.5 * 1.0 1.0 1.0 1.0 0.5 0.5 0.5 0.5 mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA 0.0 0.0 0.0 0.0 GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h FXR WT Fxr−/− FXR WT Fxr−/− FXR WT Fxr−/− FXR WT Fxr−/− I J K 2.0 Hsd17b4 2.0 Scp2 2.0 Slc27a5 L Fxr Cyp7a1 Cyp8b1 1.0 1.5 1.5 1.5 * 1.0 1.0 1.0 0.5 *** *** 0.5 0.5 0.5 mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA mRNA (Fold Change) mRNA *** *** *** 0.0 0.0 0.0 0.0 *** GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h GSK − 30’ 1h 2h − 30’ 1h 2h Time (h) 0 4 16 0 4 16 0 4 16 FXR WT Fxr−/− FXR WT Fxr−/− FXR WT Fxr−/− post plating M N CYP7A1 CYP8B1 Supplementary Figure 1 – FXR activation leads to rapid changes in gene expression 1.0 1.0 (A-K) Hepatic gene expression of bile acid synthesis genes from wild-type and Fxr−/− mice.