ONLINE SUPPLEMENTARY TABLE Table 2. Differentially Expressed
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Roles of Adipose Tissue-Derived Factors in Adipose Tissue Development and Lipid Metabolism Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Jinsoo Ahn, M.S. Graduate Program in Ohio State University Nutrition The Ohio State University 2015 Dissertation Committee: Kichoon Lee, Ph.D., Advisor Earl H. Harrison, Ph.D. Ramesh Selvaraj, Ph.D. Ouliana Ziouzenkova, Ph.D. Copyright by Jinsoo Ahn 2015 Abstract Obesity is a global trend and major risk factor for serious diseases including type 2 diabetes, heart disease, and hypertension. Obesity is characterized by excess fat accumulation, especially in the visceral area. The pathogenic effects related to common obesity are largely attributed to dysregulated secretion of adipokines followed by insulin resistance in peripheral tissues when adipose tissue mass is altered. White adipose tissue serves as a dynamic endocrine organ as well as a major energy reservoir for whole-body energy homeostasis. Adipokines influence various metabolic processes in the body including adipocyte differentiation; however, precise physiological roles of adipokines need to be further investigated. In addition, a large proportion of adipokines still needs to be identified. Information from the gene expression omnibus (GEO) profile, a public repository for microarray data, combined with confirmatory studies on mRNA and protein expression were used to identify a novel adipose tissue-specific gene, chordin-like 1 (Chrdl1). Further analysis showed that Chrdl1 encodes a putative secreted protein which is a new adipokine. Chrdl1 expression increases during 3T3-L1 adipocyte development in vitro and mouse adipose tissue development in vivo. -
FABP2 Ala54thr Polymorphism and Post-Training Changes of Body Composition and Biochemical Parameters in Caucasian Women
G C A T T A C G G C A T genes Article FABP2 Ala54Thr Polymorphism and Post-Training Changes of Body Composition and Biochemical Parameters in Caucasian Women Agata Leo ´nska-Duniec 1,*, Katarzyna Switała´ 1, Ildus I. Ahmetov 2,3 , Craig Pickering 4 , Myosotis Massidda 5 , Maciej Buryta 6, Andrzej Mastalerz 7 and Ewelina Maculewicz 7 1 Faculty of Physical Education, Gdansk University of Physical Education and Sport, 80-336 Gdansk, Poland; [email protected] 2 Laboratory of Molecular Genetics, Kazan State Medical University, 420012 Kazan, Russia; [email protected] 3 Department of Physical Education, Plekhanov Russian University of Economics, 117997 Moscow, Russia 4 Institute of Coaching and Performance, School of Sport and Wellbeing, University of Central Lancashire, Preston PR1 2HE, UK; [email protected] 5 Department of Life and Environmental Sciences, University of Cagliari, 09124 Cagliari, Italy; [email protected] 6 Institute of Physical Culture Sciences, University of Szczecin, 70-453 Szczecin, Poland; [email protected] 7 Faculty of Physical Education, Jozef Pilsudski University of Physical Education in Warsaw, 00-968 Warsaw, Poland; [email protected] (A.M.); [email protected] (E.M.) * Correspondence: [email protected] Abstract: The functional FABP2 Ala54Thr polymorphism (rs1799883) is strongly associated with lipid Citation: Leo´nska-Duniec,A.; Switała,´ K.; Ahmetov, I.I.; Pickering, and carbohydrate metabolism, although the function of its potential modifying effect on training- C.; Massidda, M.; Buryta, M.; induced changes in obesity-related parameters is still unknown. The aim of the present study was Mastalerz, A.; Maculewicz, E. -
Supplemental Figure 1. Vimentin
Double mutant specific genes Transcript gene_assignment Gene Symbol RefSeq FDR Fold- FDR Fold- FDR Fold- ID (single vs. Change (double Change (double Change wt) (single vs. wt) (double vs. single) (double vs. wt) vs. wt) vs. single) 10485013 BC085239 // 1110051M20Rik // RIKEN cDNA 1110051M20 gene // 2 E1 // 228356 /// NM 1110051M20Ri BC085239 0.164013 -1.38517 0.0345128 -2.24228 0.154535 -1.61877 k 10358717 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 /// BC 1700025G04Rik NM_197990 0.142593 -1.37878 0.0212926 -3.13385 0.093068 -2.27291 10358713 NM_197990 // 1700025G04Rik // RIKEN cDNA 1700025G04 gene // 1 G2 // 69399 1700025G04Rik NM_197990 0.0655213 -1.71563 0.0222468 -2.32498 0.166843 -1.35517 10481312 NM_027283 // 1700026L06Rik // RIKEN cDNA 1700026L06 gene // 2 A3 // 69987 /// EN 1700026L06Rik NM_027283 0.0503754 -1.46385 0.0140999 -2.19537 0.0825609 -1.49972 10351465 BC150846 // 1700084C01Rik // RIKEN cDNA 1700084C01 gene // 1 H3 // 78465 /// NM_ 1700084C01Rik BC150846 0.107391 -1.5916 0.0385418 -2.05801 0.295457 -1.29305 10569654 AK007416 // 1810010D01Rik // RIKEN cDNA 1810010D01 gene // 7 F5 // 381935 /// XR 1810010D01Rik AK007416 0.145576 1.69432 0.0476957 2.51662 0.288571 1.48533 10508883 NM_001083916 // 1810019J16Rik // RIKEN cDNA 1810019J16 gene // 4 D2.3 // 69073 / 1810019J16Rik NM_001083916 0.0533206 1.57139 0.0145433 2.56417 0.0836674 1.63179 10585282 ENSMUST00000050829 // 2010007H06Rik // RIKEN cDNA 2010007H06 gene // --- // 6984 2010007H06Rik ENSMUST00000050829 0.129914 -1.71998 0.0434862 -2.51672 -
KLF2 Induced
UvA-DARE (Digital Academic Repository) The transcription factor KLF2 in vascular biology Boon, R.A. Publication date 2008 Link to publication Citation for published version (APA): Boon, R. A. (2008). The transcription factor KLF2 in vascular biology. 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:23 Sep 2021 Supplementary data: Genes induced by KLF2 Dekker et al. LocusLink Accession Gene Sequence Description Fold p-value ID number symbol change (FDR) 6654 AK022099 SOS1 cDNA FLJ12037 fis, clone HEMBB1001921. 100.00 5.9E-09 56999 AF086069 ADAMTS9 full length insert cDNA clone YZ35C05. 100.00 1.2E-09 6672 AF085934 SP100 full length insert cDNA clone YR57D07. 100.00 6.7E-13 9031 AF132602 BAZ1B Williams Syndrome critical region WS25 mRNA, partial sequence. -
Gentaur Products List
Chapter 2 : Gentaur Products List • Rabbit Anti LAMR1 Polyclonal Antibody Cy5 Conjugated Conjugated • Rabbit Anti Podoplanin gp36 Polyclonal Antibody Cy5 • Rabbit Anti LAMR1 CT Polyclonal Antibody Cy5 • Rabbit Anti phospho NFKB p65 Ser536 Polyclonal Conjugated Conjugated Antibody Cy5 Conjugated • Rabbit Anti CHRNA7 Polyclonal Antibody Cy5 Conjugated • Rat Anti IAA Monoclonal Antibody Cy5 Conjugated • Rabbit Anti EV71 VP1 CT Polyclonal Antibody Cy5 • Rabbit Anti Connexin 40 Polyclonal Antibody Cy5 • Rabbit Anti IAA Indole 3 Acetic Acid Polyclonal Antibody Conjugated Conjugated Cy5 Conjugated • Rabbit Anti LHR CGR Polyclonal Antibody Cy5 Conjugated • Rabbit Anti Integrin beta 7 Polyclonal Antibody Cy5 • Rabbit Anti Natrexone Polyclonal Antibody Cy5 Conjugated • Rabbit Anti MMP 20 Polyclonal Antibody Cy5 Conjugated Conjugated • Rabbit Anti Melamine Polyclonal Antibody Cy5 Conjugated • Rabbit Anti BCHE NT Polyclonal Antibody Cy5 Conjugated • Rabbit Anti NAP1 NAP1L1 Polyclonal Antibody Cy5 • Rabbit Anti Acetyl p53 K382 Polyclonal Antibody Cy5 • Rabbit Anti BCHE CT Polyclonal Antibody Cy5 Conjugated Conjugated Conjugated • Rabbit Anti HPV16 E6 Polyclonal Antibody Cy5 Conjugated • Rabbit Anti CCP Polyclonal Antibody Cy5 Conjugated • Rabbit Anti JAK2 Polyclonal Antibody Cy5 Conjugated • Rabbit Anti HPV18 E6 Polyclonal Antibody Cy5 Conjugated • Rabbit Anti HDC Polyclonal Antibody Cy5 Conjugated • Rabbit Anti Microsporidia protien Polyclonal Antibody Cy5 • Rabbit Anti HPV16 E7 Polyclonal Antibody Cy5 Conjugated • Rabbit Anti Neurocan Polyclonal -
ACE2 Interaction Networks in COVID-19: a Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors
Journal of Clinical Medicine Article ACE2 Interaction Networks in COVID-19: A Physiological Framework for Prediction of Outcome in Patients with Cardiovascular Risk Factors Zofia Wicik 1,2 , Ceren Eyileten 2, Daniel Jakubik 2,Sérgio N. Simões 3, David C. Martins Jr. 1, Rodrigo Pavão 1, Jolanta M. Siller-Matula 2,4,* and Marek Postula 2 1 Centro de Matemática, Computação e Cognição, Universidade Federal do ABC, Santo Andre 09606-045, Brazil; zofi[email protected] (Z.W.); [email protected] (D.C.M.J.); [email protected] (R.P.) 2 Department of Experimental and Clinical Pharmacology, Medical University of Warsaw, Center for Preclinical Research and Technology CEPT, 02-091 Warsaw, Poland; [email protected] (C.E.); [email protected] (D.J.); [email protected] (M.P.) 3 Federal Institute of Education, Science and Technology of Espírito Santo, Serra, Espírito Santo 29056-264, Brazil; [email protected] 4 Department of Internal Medicine II, Division of Cardiology, Medical University of Vienna, 1090 Vienna, Austria * Correspondence: [email protected]; Tel.: +43-1-40400-46140; Fax: +43-1-40400-42160 Received: 9 October 2020; Accepted: 17 November 2020; Published: 21 November 2020 Abstract: Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection (coronavirus disease 2019; COVID-19) is associated with adverse outcomes in patients with cardiovascular disease (CVD). The aim of the study was to characterize the interaction between SARS-CoV-2 and Angiotensin-Converting Enzyme 2 (ACE2) functional networks with a focus on CVD. Methods: Using the network medicine approach and publicly available datasets, we investigated ACE2 tissue expression and described ACE2 interaction networks that could be affected by SARS-CoV-2 infection in the heart, lungs and nervous system. -
The Role of the Mtor Pathway in Developmental Reprogramming Of
THE ROLE OF THE MTOR PATHWAY IN DEVELOPMENTAL REPROGRAMMING OF HEPATIC LIPID METABOLISM AND THE HEPATIC TRANSCRIPTOME AFTER EXPOSURE TO 2,2',4,4'- TETRABROMODIPHENYL ETHER (BDE-47) An Honors Thesis Presented By JOSEPH PAUL MCGAUNN Approved as to style and content by: ________________________________________________________** Alexander Suvorov 05/18/20 10:40 ** Chair ________________________________________________________** Laura V Danai 05/18/20 10:51 ** Committee Member ________________________________________________________** Scott C Garman 05/18/20 10:57 ** Honors Program Director ABSTRACT An emerging hypothesis links the epidemic of metabolic diseases, such as non-alcoholic fatty liver disease (NAFLD) and diabetes with chemical exposures during development. Evidence from our lab and others suggests that developmental exposure to environmentally prevalent flame-retardant BDE47 may permanently reprogram hepatic lipid metabolism, resulting in an NAFLD-like phenotype. Additionally, we have demonstrated that BDE-47 alters the activity of both mTOR complexes (mTORC1 and 2) in hepatocytes. The mTOR pathway integrates environmental information from different signaling pathways, and regulates key cellular functions such as lipid metabolism, innate immunity, and ribosome biogenesis. Thus, we hypothesized that the developmental effects of BDE-47 on liver lipid metabolism are mTOR-dependent. To assess this, we generated mice with liver-specific deletions of mTORC1 or mTORC2 and exposed these mice and their respective controls perinatally to -
RBP2 Belongs to a Family of Demethylases, Specific For
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector RBP2 Belongs to a Family of Demethylases, Specific for Tri- and Dimethylated Lysine 4 on Histone 3 Jesper Christensen,1,2,4 Karl Agger,1,2,4 Paul A.C. Cloos,1,2,4 Diego Pasini,1,2 Simon Rose,2 Lau Sennels,3 Juri Rappsilber,3 Klaus H. Hansen,1,2 Anna Elisabetta Salcini,2,* and Kristian Helin1,2,* 1 Centre for Epigenetics 2 Biotech Research and Innovation Centre (BRIC) University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark 3 Wellcome Trust Centre for Cell Biology, University of Edinburgh, Edinburgh, EH9 3JR, UK 4 These authors contributed equally to this work. *Correspondence: [email protected] (K.H.), [email protected] (A.E.S.) DOI 10.1016/j.cell.2007.02.003 SUMMARY activity (Strahl and Allis, 2000; Turner, 2000). Thus, some of these modifications appear to play important roles in Methylation of histones has been regarded as dividing the genome into transcriptionally active and a stable modification defining the epigenetic inactive areas. program of the cell, which regulates chromatin As an example of this, tri- and dimethylation of histone structure and transcription. However, the recent H3 at lysine 4 (H3K4me3/me2) is restricted to euchromatin discovery of histone demethylases has chal- and is generally associated with active transcription (Sims lenged the stable nature of histone methylation. and Reinberg, 2006). The H3K4 tri- and dimethylation marks may facilitate transcription by the recruitment of nu- Here we demonstrate that the JARID1 proteins cleosome remodeling complexes and histone-modifying RBP2, PLU1, and SMCX are histone demethy- enzymes or by preventing transcriptional repressors lases specific for di- and trimethylated histone from binding to chromatin. -
Differential Proteomic Analysis of the Pancreas of Diabetic Db/Db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus
Int. J. Mol. Sci. 2014, 15, 9579-9593; doi:10.3390/ijms15069579 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Differential Proteomic Analysis of the Pancreas of Diabetic db/db Mice Reveals the Proteins Involved in the Development of Complications of Diabetes Mellitus Victoriano Pérez-Vázquez 1,*, Juan M. Guzmán-Flores 1, Daniela Mares-Álvarez 1, Magdalena Hernández-Ortiz 2, Maciste H. Macías-Cervantes 1, Joel Ramírez-Emiliano 1 and Sergio Encarnación-Guevara 2 1 Depto. de Ciencias Médicas, División de Ciencias de la Salud, Campus León, Universidad de Guanajuato, León, Guanajuato 37320, Mexico; E-Mails: [email protected] (J.M.G.-F.); [email protected] (D.M.-A.); [email protected] (M.H.M.-C.); [email protected] (J.R.-E.) 2 Centro de Ciencias Genómicas, Universidad Nacional Autónoma de México, Cuernavaca, Morelos 62210, Mexico; E-Mails: [email protected] (M.H.-O.); [email protected] (S.E.-G.) * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +52-477-7143-812; Fax: +52-477-7167-623. Received: 4 April 2014; in revised form: 14 May 2014 / Accepted: 19 May 2014 / Published: 30 May 2014 Abstract: Type 2 diabetes mellitus is characterized by hyperglycemia and insulin-resistance. Diabetes results from pancreatic inability to secrete the insulin needed to overcome this resistance. We analyzed the protein profile from the pancreas of ten-week old diabetic db/db and wild type mice through proteomics. Pancreatic proteins were separated in two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) and significant changes in db/db mice respect to wild type mice were observed in 27 proteins. -
Serine Proteases with Altered Sensitivity to Activity-Modulating
(19) & (11) EP 2 045 321 A2 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 08.04.2009 Bulletin 2009/15 C12N 9/00 (2006.01) C12N 15/00 (2006.01) C12Q 1/37 (2006.01) (21) Application number: 09150549.5 (22) Date of filing: 26.05.2006 (84) Designated Contracting States: • Haupts, Ulrich AT BE BG CH CY CZ DE DK EE ES FI FR GB GR 51519 Odenthal (DE) HU IE IS IT LI LT LU LV MC NL PL PT RO SE SI • Coco, Wayne SK TR 50737 Köln (DE) •Tebbe, Jan (30) Priority: 27.05.2005 EP 05104543 50733 Köln (DE) • Votsmeier, Christian (62) Document number(s) of the earlier application(s) in 50259 Pulheim (DE) accordance with Art. 76 EPC: • Scheidig, Andreas 06763303.2 / 1 883 696 50823 Köln (DE) (71) Applicant: Direvo Biotech AG (74) Representative: von Kreisler Selting Werner 50829 Köln (DE) Patentanwälte P.O. Box 10 22 41 (72) Inventors: 50462 Köln (DE) • Koltermann, André 82057 Icking (DE) Remarks: • Kettling, Ulrich This application was filed on 14-01-2009 as a 81477 München (DE) divisional application to the application mentioned under INID code 62. (54) Serine proteases with altered sensitivity to activity-modulating substances (57) The present invention provides variants of ser- screening of the library in the presence of one or several ine proteases of the S1 class with altered sensitivity to activity-modulating substances, selection of variants with one or more activity-modulating substances. A method altered sensitivity to one or several activity-modulating for the generation of such proteases is disclosed, com- substances and isolation of those polynucleotide se- prising the provision of a protease library encoding poly- quences that encode for the selected variants. -
Table SI. Primer List of Genes Used for Reverse Transcription‑Quantitative PCR Validation
Table SI. Primer list of genes used for reverse transcription‑quantitative PCR validation. Genes Forward (5'‑3') Reverse (5'‑3') Length COL1A1 AGTGGTTTGGATGGTGCCAA GCACCATCATTTCCACGAGC 170 COL6A1 CCCCTCCCCACTCATCACTA CGAATCAGGTTGGTCGGGAA 65 COL2A1 GGTCCTGCAGGTGAACCC CTCTGTCTCCTTGCTTGCCA 181 DCT CTACGAAACCAGGATGACCGT ACCATCATTGGTTTGCCTTTCA 192 PDE4D ATTGCCCACGATAGCTGCTC GCAGATGTGCCATTGTCCAC 181 RP11‑428C19.4 ACGCTAGAAACAGTGGTGCG AATCCCCGGAAAGATCCAGC 179 GPC‑AS2 TCTCAACTCCCCTCCTTCGAG TTACATTTCCCGGCCCATCTC 151 XLOC_110310 AGTGGTAGGGCAAGTCCTCT CGTGGTGGGATTCAAAGGGA 187 COL1A1, collagen type I alpha 1; COL6A1, collagen type VI, alpha 1; COL2A1, collagen type II alpha 1; DCT, dopachrome tautomerase; PDE4D, phosphodiesterase 4D cAMP‑specific. Table SII. The differentially expressed mRNAs in the ParoAF_Control group. Gene ID logFC P‑Value Symbol Description ENSG00000165480 ‑6.4838 8.32E‑12 SKA3 Spindle and kinetochore associated complex subunit 3 ENSG00000165424 ‑6.43924 0.002056 ZCCHC24 Zinc finger, CCHC domain containing 24 ENSG00000182836 ‑6.20215 0.000817 PLCXD3 Phosphatidylinositol‑specific phospholipase C, X domain containing 3 ENSG00000174358 ‑5.79775 0.029093 SLC6A19 Solute carrier family 6 (neutral amino acid transporter), member 19 ENSG00000168916 ‑5.761 0.004046 ZNF608 Zinc finger protein 608 ENSG00000134343 ‑5.56371 0.01356 ANO3 Anoctamin 3 ENSG00000110400 ‑5.48194 0.004123 PVRL1 Poliovirus receptor‑related 1 (herpesvirus entry mediator C) ENSG00000124882 ‑5.45849 0.022164 EREG Epiregulin ENSG00000113448 ‑5.41752 0.000577 PDE4D Phosphodiesterase -
Relating Metatranscriptomic Profiles to the Micropollutant
1 Relating Metatranscriptomic Profiles to the 2 Micropollutant Biotransformation Potential of 3 Complex Microbial Communities 4 5 Supporting Information 6 7 Stefan Achermann,1,2 Cresten B. Mansfeldt,1 Marcel Müller,1,3 David R. Johnson,1 Kathrin 8 Fenner*,1,2,4 9 1Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600 Dübendorf, 10 Switzerland. 2Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, 8092 11 Zürich, Switzerland. 3Institute of Atmospheric and Climate Science, ETH Zürich, 8092 12 Zürich, Switzerland. 4Department of Chemistry, University of Zürich, 8057 Zürich, 13 Switzerland. 14 *Corresponding author (email: [email protected] ) 15 S.A and C.B.M contributed equally to this work. 16 17 18 19 20 21 This supporting information (SI) is organized in 4 sections (S1-S4) with a total of 10 pages and 22 comprises 7 figures (Figure S1-S7) and 4 tables (Table S1-S4). 23 24 25 S1 26 S1 Data normalization 27 28 29 30 Figure S1. Relative fractions of gene transcripts originating from eukaryotes and bacteria. 31 32 33 Table S1. Relative standard deviation (RSD) for commonly used reference genes across all 34 samples (n=12). EC number mean fraction bacteria (%) RSD (%) RSD bacteria (%) RSD eukaryotes (%) 2.7.7.6 (RNAP) 80 16 6 nda 5.99.1.2 (DNA topoisomerase) 90 11 9 nda 5.99.1.3 (DNA gyrase) 92 16 10 nda 1.2.1.12 (GAPDH) 37 39 6 32 35 and indicates not determined. 36 37 38 39 S2 40 S2 Nitrile hydration 41 42 43 44 Figure S2: Pearson correlation coefficients r for rate constants of bromoxynil and acetamiprid with 45 gene transcripts of ECs describing nucleophilic reactions of water with nitriles.