Pituitary Cell Translation and Secretory Capacities Are Enhanced Cell Autonomously by the Transcription Factor Creb3l2
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Anti-Rab11 Antibody (ARG41900)
Product datasheet [email protected] ARG41900 Package: 100 μg anti-Rab11 antibody Store at: -20°C Summary Product Description Goat Polyclonal antibody recognizes Rab11 Tested Reactivity Hu, Ms, Rat, Dog, Mk Tested Application IHC-Fr, IHC-P, WB Host Goat Clonality Polyclonal Isotype IgG Target Name Rab11 Antigen Species Mouse Immunogen Purified recombinant peptides within aa. 110 to the C-terminus of Mouse Rab11a, Rab11b and Rab11c (Rab25). Conjugation Un-conjugated Alternate Names RAB11A: Rab-11; Ras-related protein Rab-11A; YL8 RAB11B: GTP-binding protein YPT3; H-YPT3; Ras-related protein Rab-11B RAB25: RAB11C; CATX-8; Ras-related protein Rab-25 Application Instructions Application table Application Dilution IHC-Fr 1:100 - 1:400 IHC-P 1:100 - 1:400 WB 1:250 - 1:2000 Application Note IHC-P: Antigen Retrieval: Heat mediation was recommended. * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control Hepa cell lysate Calculated Mw 24 kDa Observed Size ~ 26 kDa Properties Form Liquid Purification Affinity purification with immunogen. Buffer PBS, 0.05% Sodium azide and 20% Glycerol. Preservative 0.05% Sodium azide www.arigobio.com 1/3 Stabilizer 20% Glycerol Concentration 3 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed before use. Note For laboratory research only, not for drug, diagnostic or other use. -
MASTER THESIS Reprogramming Human Gastrointestinal Stem Cells
MASTER THESIS Thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Engineering at the University of Applied Sciences Technikum Wien - Degree Program Tissue Engineering and Regenerative Medicine Reprogramming human gastrointestinal stem cells into insulin-secreting cells: developing a cell therapy for diabetes By: Christoph Pertl, BSc Student Number: 01306559 Supervisor 1: Qiao Joe Zhou, Ph.D. Supervisor 2: Dr. rer. nat. Elisabeth Simboeck Vienna, 15/12/2019 Declaration of Authenticity “As author and creator of this work to hand, I confirm with my signature knowledge of the relevant copyright regulations governed by higher education acts (for example see §§ 21, 42f and 57 UrhG (Austrian copyright law) as amended as well as § 14 of the Statute on Studies Act Provisions / Examination Regulations of the UAS Technikum Wien). In particular I declare that I have made use of third-party content correctly, regardless what form it may have, and I am aware of any consequences I may face on the part of the degree program director if there should be evidence of missing autonomy and independence or evidence of any intent to fraudulently achieve a pass mark for this work (see § 14 para. 1 Statute on Studies Act Provisions / Examination Regulations of the UAS Technikum Wien). I further declare that up to this date I have not published the work to hand nor have I presented it to another examination board in the same or similar form. I affirm that the version submitted matches the version in the upload tool.” Place, Date Signature 2 Kurzfassung Eine erfolgreiche Behandlung von Typ 1 Diabetes benötigt das Regenerieren verlorener insulinproduzierender Zellen und das Umgehen der Autoimmunreaktion. -
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. -
Noninvasive Sleep Monitoring in Large-Scale Screening of Knock-Out Mice
bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Noninvasive sleep monitoring in large-scale screening of knock-out mice reveals novel sleep-related genes Shreyas S. Joshi1*, Mansi Sethi1*, Martin Striz1, Neil Cole2, James M. Denegre2, Jennifer Ryan2, Michael E. Lhamon3, Anuj Agarwal3, Steve Murray2, Robert E. Braun2, David W. Fardo4, Vivek Kumar2, Kevin D. Donohue3,5, Sridhar Sunderam6, Elissa J. Chesler2, Karen L. Svenson2, Bruce F. O'Hara1,3 1Dept. of Biology, University of Kentucky, Lexington, KY 40506, USA, 2The Jackson Laboratory, Bar Harbor, ME 04609, USA, 3Signal solutions, LLC, Lexington, KY 40503, USA, 4Dept. of Biostatistics, University of Kentucky, Lexington, KY 40536, USA, 5Dept. of Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506, USA. 6Dept. of Biomedical Engineering, University of Kentucky, Lexington, KY 40506, USA. *These authors contributed equally Address for correspondence and proofs: Shreyas S. Joshi, Ph.D. Dept. of Biology University of Kentucky 675 Rose Street 101 Morgan Building Lexington, KY 40506 U.S.A. Phone: (859) 257-2805 FAX: (859) 257-1717 Email: [email protected] Running title: Sleep changes in knockout mice bioRxiv preprint doi: https://doi.org/10.1101/517680; this version posted January 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
Puromycin Selective Antibiotic for the Pac Gene Catalog # Ant-Pr-1, Ant-Pr-5 for Research Use Only Version # 13A25-MM
Puromycin Selective antibiotic for the pac gene Catalog # ant-pr-1, ant-pr-5 For research use only Version # 13A25-MM PRodUCt INFoRmAtIoN ReSIStANCe to PURomYCIN Content: The pac gene encoding a Puromycin N-acetyl-tranferase (PAC) has been isolated Puromycin hydrochloride is supplied as 1ml tubes of a 10 mg/ml solution in from a Streptomyces producing strain 1,2 . It is located in a region of the pur HEPES buffer (100% active product), filtered to sterility for customer cluster linked to the other genes d etermining the puromycin biosynthetic convenience, and cell culture tested. pathway. - ant-pr-1: 10 x 1 ml at 10 mg/ml (100 mg) The expression of pac gene confers puromycin resistance to transfected - ant-pr-5: 50 x 1 ml at 10 mg/ml (500 mg) mammalians cells 3 expressing it. In some particular conditions puromycin could also be used for selection of E. coli strains transformed with plasmids Storage and stability: carrying the pac gene. Puromycin is shipped at room temperature. Upon receipt it should be stored at 4°C or -20°C. Puromycin is stable for two years at -20°C, two years at 4°C, and 3 months at CoNdItIoNS oF SeLeCtIoN room temperature. Avoid repeated freeze-thaw cycles. Puromycin is poorly active on E. coli but is particularly useful in experiments conducted with mammalian cells. It can be used as an alternative to Quality control Neomycin system for transfection experiments. Purity controlled by HPLC: >95% Activity controlled by bioassays on bacteria and mammalian cell lines. mammalian cells The working concentrations of puromycin for mammalian cell lines range SPeCIAL hANdLING from 1 to 10 µg/ml. -
Mechanisms of Synaptic Plasticity Mediated by Clathrin Adaptor-Protein Complexes 1 and 2 in Mice
Mechanisms of synaptic plasticity mediated by Clathrin Adaptor-protein complexes 1 and 2 in mice Dissertation for the award of the degree “Doctor rerum naturalium” at the Georg-August-University Göttingen within the doctoral program “Molecular Biology of Cells” of the Georg-August University School of Science (GAUSS) Submitted by Ratnakar Mishra Born in Birpur, Bihar, India Göttingen, Germany 2019 1 Members of the Thesis Committee Prof. Dr. Peter Schu Institute for Cellular Biochemistry, (Supervisor and first referee) University Medical Center Göttingen, Germany Dr. Hans Dieter Schmitt Neurobiology, Max Planck Institute (Second referee) for Biophysical Chemistry, Göttingen, Germany Prof. Dr. med. Thomas A. Bayer Division of Molecular Psychiatry, University Medical Center, Göttingen, Germany Additional Members of the Examination Board Prof. Dr. Silvio O. Rizzoli Department of Neuro-and Sensory Physiology, University Medical Center Göttingen, Germany Dr. Roland Dosch Institute of Developmental Biochemistry, University Medical Center Göttingen, Germany Prof. Dr. med. Martin Oppermann Institute of Cellular and Molecular Immunology, University Medical Center, Göttingen, Germany Date of oral examination: 14th may 2019 2 Table of Contents List of abbreviations ................................................................................. 5 Abstract ................................................................................................... 7 Chapter 1: Introduction ............................................................................ -
COPI Activity Coupled with Fatty Acid Biosynthesis Is Required for Viral Replication
COPI Activity Coupled with Fatty Acid Biosynthesis Is Required for Viral Replication Sara Cherry1*, Amit Kunte2, Hui Wang3, Carolyn Coyne4, Robert B. Rawson2, Norbert Perrimon3 1 University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, United States of America, 2 University of Texas Southwestern Medical Center, Dallas, Texas, United States of America, 3 Harvard Medical School, Howard Hughes Medical Institute, Boston, Massachusetts, United States of America, 4 Children’s Hospital of Pennsylvania, Philadelphia, Pennsylvania, United States of America During infection by diverse viral families, RNA replication occurs on the surface of virally induced cytoplasmic membranes of cellular origin. How this process is regulated, and which cellular factors are required, has been unclear. Moreover, the host–pathogen interactions that facilitate the formation of this new compartment might represent critical determinants of viral pathogenesis, and their elucidation may lead to novel insights into the coordination of vesicular trafficking events during infection. Here we show that in Drosophila cells, Drosophila C virus remodels the Golgi apparatus and forms a novel vesicular compartment, on the surface of which viral RNA replication takes place. Using genome-wide RNA interference screening, we found that this step in the viral lifecycle requires at least two host encoded pathways: the coat protein complex I (COPI) coatamer and fatty acid biosynthesis. Our results integrate, clarify, and extend numerous observations concerning the cell biology of viral replication, allowing us to conclude that the coupling of new cellular membrane formation with the budding of these vesicles from the Golgi apparatus allows for the regulated generation of this new virogenic organelle, which is essential for viral replication. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Identification of Candidate Genes and Pathways Associated with Obesity
animals Article Identification of Candidate Genes and Pathways Associated with Obesity-Related Traits in Canines via Gene-Set Enrichment and Pathway-Based GWAS Analysis Sunirmal Sheet y, Srikanth Krishnamoorthy y , Jihye Cha, Soyoung Choi and Bong-Hwan Choi * Animal Genome & Bioinformatics, National Institute of Animal Science, RDA, Wanju 55365, Korea; [email protected] (S.S.); [email protected] (S.K.); [email protected] (J.C.); [email protected] (S.C.) * Correspondence: [email protected]; Tel.: +82-10-8143-5164 These authors contributed equally. y Received: 10 October 2020; Accepted: 6 November 2020; Published: 9 November 2020 Simple Summary: Obesity is a serious health issue and is increasing at an alarming rate in several dog breeds, but there is limited information on the genetic mechanism underlying it. Moreover, there have been very few reports on genetic markers associated with canine obesity. These studies were limited to the use of a single breed in the association study. In this study, we have performed a GWAS and supplemented it with gene-set enrichment and pathway-based analyses to identify causative loci and genes associated with canine obesity in 18 different dog breeds. From the GWAS, the significant markers associated with obesity-related traits including body weight (CACNA1B, C22orf39, U6, MYH14, PTPN2, SEH1L) and blood sugar (PRSS55, GRIK2), were identified. Furthermore, the gene-set enrichment and pathway-based analysis (GESA) highlighted five enriched pathways (Wnt signaling pathway, adherens junction, pathways in cancer, axon guidance, and insulin secretion) and seven GO terms (fat cell differentiation, calcium ion binding, cytoplasm, nucleus, phospholipid transport, central nervous system development, and cell surface) which were found to be shared among all the traits. -
Eif4gi Cooperation in Start Codon Selection
Article Translational Tolerance of Mitochondrial Genes to Metabolic Energy Stress Involves TISU and eIF1- eIF4GI Cooperation in Start Codon Selection Graphical Abstract Authors Hadar Sinvani, Ora Haimov, ..., Benoit Viollet, Rivka Dikstein Correspondence [email protected] In Brief The regulatory element TISU is a translation initiator of short 50 UTR mRNAs. Sinvani et al. report that TISU is enriched in mitochondrial genes and confers resistance to translation inhibition mediated by AMPK and energy deprivation, allowing cells to cope with the stress. TISU-mediated initiation involves cap complex eviction and eIF1- eIF4G1 cooperation. Highlights 0 d TISU, translation initiator of short 5 UTR, is enriched among mitochondrial genes d TISU-mediated initiation involves eIF1-eIF4G1 cooperation and cap complex eviction d Low energy induces a stress response that includes inhibition of global translation d TISU-directed translation enables continuous translation under energy stress Sinvani et al., 2015, Cell Metabolism 21, 479–492 March 3, 2015 ª2015 Elsevier Inc. http://dx.doi.org/10.1016/j.cmet.2015.02.010 Cell Metabolism Article Translational Tolerance of Mitochondrial Genes to Metabolic Energy Stress Involves TISU and eIF1-eIF4GI Cooperation in Start Codon Selection Hadar Sinvani,1,4 Ora Haimov,1,4 Yuri Svitkin,2 Nahum Sonenberg,2 Ana Tamarkin-Ben-Harush,1 Benoit Viollet,3 and Rivka Dikstein1,* 1Department of Biological Chemistry, The Weizmann Institute of Science, Rehovot 76100, Israel 2Department of Biochemistry and Goodman Cancer Centre, McGill University, Montreal, QC H3A 1A3, Canada 3University Paris Descartes, Institut Cochin, 75014 Paris, France 4Co-first author *Correspondence: [email protected] http://dx.doi.org/10.1016/j.cmet.2015.02.010 SUMMARY 2010; Ja¨ ger et al., 2007; Lin et al., 2005; O’Neill et al., 2011; Winder et al., 2000). -
Supplementary Table 3: Genes Only Influenced By
Supplementary Table 3: Genes only influenced by X10 Illumina ID Gene ID Entrez Gene Name Fold change compared to vehicle 1810058M03RIK -1.104 2210008F06RIK 1.090 2310005E10RIK -1.175 2610016F04RIK 1.081 2610029K11RIK 1.130 381484 Gm5150 predicted gene 5150 -1.230 4833425P12RIK -1.127 4933412E12RIK -1.333 6030458P06RIK -1.131 6430550H21RIK 1.073 6530401D06RIK 1.229 9030607L17RIK -1.122 A330043C08RIK 1.113 A330043L12 1.054 A530092L01RIK -1.069 A630054D14 1.072 A630097D09RIK -1.102 AA409316 FAM83H family with sequence similarity 83, member H 1.142 AAAS AAAS achalasia, adrenocortical insufficiency, alacrimia 1.144 ACADL ACADL acyl-CoA dehydrogenase, long chain -1.135 ACOT1 ACOT1 acyl-CoA thioesterase 1 -1.191 ADAMTSL5 ADAMTSL5 ADAMTS-like 5 1.210 AFG3L2 AFG3L2 AFG3 ATPase family gene 3-like 2 (S. cerevisiae) 1.212 AI256775 RFESD Rieske (Fe-S) domain containing 1.134 Lipo1 (includes AI747699 others) lipase, member O2 -1.083 AKAP8L AKAP8L A kinase (PRKA) anchor protein 8-like -1.263 AKR7A5 -1.225 AMBP AMBP alpha-1-microglobulin/bikunin precursor 1.074 ANAPC2 ANAPC2 anaphase promoting complex subunit 2 -1.134 ANKRD1 ANKRD1 ankyrin repeat domain 1 (cardiac muscle) 1.314 APOA1 APOA1 apolipoprotein A-I -1.086 ARHGAP26 ARHGAP26 Rho GTPase activating protein 26 -1.083 ARL5A ARL5A ADP-ribosylation factor-like 5A -1.212 ARMC3 ARMC3 armadillo repeat containing 3 -1.077 ARPC5 ARPC5 actin related protein 2/3 complex, subunit 5, 16kDa -1.190 activating transcription factor 4 (tax-responsive enhancer element ATF4 ATF4 B67) 1.481 AU014645 NCBP1 nuclear cap