DOCSLIB.ORG

First Line of Title

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
First Line of Title THE EFFECTS OF HEAT STRESS ON THE TRANSCRIPTOMICS OF DAY28 SPLEENS IN ROSS 708 AND ILLINOIS BROILERS by Amanda Wagner A thesis submitted to the Faculty of the University of Delaware in partial fulfillment of the requirements for the degree of Master of Science in Animal Science Fall 2016 © 2016 Amanda Wagner All Rights Reserved ProQuest Number:10241718 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. ProQuest 10241718 Published by ProQuest LLC ( 2017). Copyright of the Dissertation is held by the Author. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code Microform Edition © ProQuest LLC. ProQuest LLC. 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, MI 48106 - 1346 THE EFFECTS OF HEAT STRESS ON THE TRANSCRIPTOMICS OF DAY28 SPLEENS IN ROSS 708 AND ILLINOIS BROILERS by Amanda Wagner Approved: __________________________________________________________ Carl Schmidt, Ph.D. Professor in charge of thesis on behalf of the Advisory Committee Approved: __________________________________________________________ Limin Kung, Jr., Ph.D. Chair of the Department of Animal and Food Sciences Approved: __________________________________________________________ Mark Rieger, Ph.D. Dean of the College of Agriculture and Natural Resources Approved: __________________________________________________________ Ann L. Ardis, Ph.D. Senior Vice Provost for Graduate and Professional Education ACKNOWLEDGMENTS First I would like to thank my advisor Dr. Carl Schmidt for providing me with the opportunity to work on this project and answering any and all questions during my time as a graduate student. I would also like to thank Dr. Jason Gleghorn, Dr. Robert Dyer and, Dr. Marlene Emara for serving on my committee and providing insightful comments throughout the writing process. I would like to thank all of the members of the Schmidt lab for their help throughout my time as a graduate student. Last but certainly not least, a huge thank you to my parents, family, and friends. They consistently encouraged and supported me from start to finish during my time in the Master’s program at the University of Delaware. iii TABLE OF CONTENTS LIST OF TABLES ........................................................................................................ vi LIST OF FIGURES ....................................................................................................... ix ABSTRACT ................................................................................................................. xii Chapter 1 INTRODUCTION .............................................................................................. 1 2 LITERATURE REVIEW ................................................................................... 8 3 HYPOTHESIS AND OBJECTIVES ............................................................... 15 4 MATERIALS AND METHODS ..................................................................... 17 4.1 Animal Rearing, Experimental Design, and Tissue Collection ............... 17 4.2 Ethics Statement ...................................................................................... 18 4.3 RNA Extraction ....................................................................................... 19 4.4 Library Preparation and Sequencing ....................................................... 20 4.5 Transcriptomic Analysis .......................................................................... 21 4.6 Analysis Descriptions .............................................................................. 22 5 RESULTS AND DISCUSSION ....................................................................... 25 5.1 Differential Expression Analysis Results ................................................ 25 5.2 RTE Analysis using Gene Ontology (GO) and WebGIVI ...................... 35 5.3 RTE Analysis of Ross 708 Control genes with the iTerm Spleen .......... 36 5.4 RTE Analysis of Ross 708 Control genes with AmiGO2 and WebGIVI ................................................................................................. 38 5.5 RTE Analysis of Ross 708 Heat-Stressed genes with the iTerm Spleen 43 5.6 RTE Analysis of Ross 708 Heat-Stressed genes with AmiGO2 and WebGIVI ................................................................................................. 47 5.7 RTE Analysis of Illinois Control genes with AmiGO2 and WebGIVI ... 55 5.8 RTE Analysis of Illinois Control genes with the iTerm Spleen .............. 57 5.9 RTE Analysis of Illinois Heat-Stressed genes with AmiGO2 and WebGIVI ................................................................................................. 61 5.10 RTE Analysis of Illinois Heat-stressed genes with the iTerm Spleen ..... 65 iv 6 CONCLUSION ................................................................................................ 77 7 FUTURE WORK ............................................................................................. 80 REFERENCES ............................................................................................................. 88 Appendix A DIFFERENTIAL EXPRESSION AND RELATIVE TISSUE EXPRESSION ANALYSIS PROTOCOLS ..................................................... 95 A.1 Differential Expression Analysis Protocol .............................................. 95 A.2 Relative Tissue Expression Analysis Protocol ........................................ 96 B DIFFERENTIAL EXPRESSION RAW DATA TABLES FOR ROSS AND ILLINOIS CONTROL AND HEAT-STRESSED GROUPS ........................ 101 C RAW DATA TABLES FOR THE RELATIVE TISSUE EXPRESSION ANALYSIS FOR THE ROSS AND ILLINOIS CONTROL AND HEAT- STRESSED GROUPS .................................................................................... 105 D PERMISSION LETTERS .............................................................................. 217 E AACUC APPROVAL FORM ........................................................................ 218 v LIST OF TABLES Table 1: The number of samples used in both control and heat-stressed groups for the Ross 708 and Illinois broiler lines. The total number of spleen samples used in this experiment is also provided and was established after a final RNA quality check. .............................................................. 20 Table 2: Bird identification numbers that were used in Differential Expression analysis for Ross 708 D28 Control Liver samples compared to Ross 708 D28 Control Spleen samples. Each row represents a randomly selected broiler for this analysis with a total of nine samples in the spleen and seven in the liver. ................................................................... 26 Table 3: Bird identification numbers that were used in Differential Expression analysis for D28 Ross 708 D28 Heat-Stressed Liver samples compared to Ross 708 D28 Heat-Stressed Spleen samples. Each row represents a randomly selected broiler for this analysis with a total of ten samples in the spleen and seven samples in the liver. ....................... 27 Table 4: The average spleen weight and body mass under control and heat- stressed conditions measured in grams for both Ross 708 and Illinois broilers at D7, D21, D28 and D42. There was no statistical significance found between either line under control or heat-stressed conditions when the means of the absolute spleen weight and body mass were evaluated. ............................................................................... 34 Table 5: The top 10 biological processes found in the gene ontology database, AmiGO2 without the Bonferroni correction for the comparison of Ross 708 broilers Control RTE genes with the iTerm Spleen. The biological processes are sorted based on p-value of <0.05. .................... 37 Table 6: 235 enriched genes found in the Ross 708 control RTE analysis were inserted into AmiGO2 and the top 10 biological processes found without the Bonferroni correction. The biological processes were sorted based on a p-value of <0.05. The red boxes signify similar processes containing identical cytokines and differing by one factor found in the regulation of T cell differentiation process. ........................ 40 vi Table 7: Seven of the ten genes found by the gene ontology analysis and relevant to D28 spleen data from the Ross 708 heat-stressed RTE in comparison with the iTerm Spleen (485 genes). ..................................... 45 Table 8: 225 genes found enriched in D28 Ross 708 heat-stressed RTE were inserted into AmiGO2. The top 10 biological processes were sorted based on a p-value of <0.05 with a disabled Bonferroni correction. The process, cell communication was found to have thirty eight genes containing pertinent information to the present study. ............................ 48 Table 9: 249 genes enriched in the Illinois Control RTE genes were assessed in AmiGO2. The top 10 biological processes were selected based on p- value <0.05 without the Bonferroni correction. Each category was then evaluated using the text mining tool WebGIVI. .............................. 56 Table 10: 249 enriched Illinois Control RTE genes were compared to the iTerm Spleen (485 genes) using Venn diagram. Six genes were found in common between the two gene lists and further
Load more

Recommended publications
  • Strategies to Increase ß-Cell Mass Expansion
    This electronic thesis or dissertation has been downloaded from the King’s Research Portal at https://kclpure.kcl.ac.uk/portal/ Strategies to increase -cell mass expansion Drynda, Robert Lech Awarding institution: King's College London The copyright of this thesis rests with the author and no quotation from it or information derived from it may be published without proper acknowledgement. END USER LICENCE AGREEMENT Unless another licence is stated on the immediately following page this work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence. https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to copy, distribute and transmit the work Under the following conditions: Attribution: You must attribute the work in the manner specified by the author (but not in any way that suggests that they endorse you or your use of the work). Non Commercial: You may not use this work for commercial purposes. No Derivative Works - You may not alter, transform, or build upon this work. Any of these conditions can be waived if you receive permission from the author. Your fair dealings and other rights are in no way affected by the above. Take down policy If you believe that this document 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 Strategies to increase β-cell mass expansion A thesis submitted by Robert Drynda For the degree of Doctor of Philosophy from King’s College London Diabetes Research Group Division of Diabetes & Nutritional Sciences Faculty of Life Sciences & Medicine King’s College London 2017 Table of contents Table of contents .................................................................................................
    [Show full text]
  • 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.
    [Show full text]
  • Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
    Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10.
    [Show full text]
  • Bone-Specific Master Transcription Factor Runx2 Regulates Signaling and Metabolism Related Programs in Osteoprogenitors
    ISSN 0233-7657. Biopolymers and Cell. 2010. Vol. 26. N 4 Bone-specific master transcription factor Runx2 regulates signaling and metabolism related programs in osteoprogenitors N. M. Teplyuk1, 2, V. I. Teplyuk2 1University of Massachusetts Medical School 55, Lake Ave North, 01655, Worcester, MA, USA 2Institute of Molecular Biology and Genetics of National Academy of Sciences of Ukraine 150, Zabolotnogo str., Kiev, Ukraine, 03680 [email protected] Aim. Runx2 (AML3) transcription factor is the key regulator of osteoblastic lineage progression and is indispensable for the formation of mineral bones. Runx2 expression increases during differentiation of osteoblasts to induce osteoblast-specific genes necessary for the production and deposition of bone mineral matrix. However, Runx2 is also expressed at a lower level in early osteoprogenitors, where its function is less understood. Here we study how Runx2 determines the early stages of osteoblastic commitment using the model system of Runx2 re-introduction in mouse calvaria cells with Runx2 null background. Method. Affymetrix analysis, Western blot analysis and quantitative real-time reverse transcriptase PCR (qRT-PCR) analysis were employed. Results. Gene expression profiling by Affymetrix microarrays revealed that along with the induction of extracellular matrix and bone mineral deposition related phenotypic markers, Runx2 regulates several cell programs related to signaling and metabolism in the early osteoprogenitors. Particularly, Runx2 regulates transcription of genes involved in G-protein coupled signaling network, FGF and BMP/TGF beta signaling pathways and in biogenesis and metabolism pathways of steroid hormones. Conclusion. The data indicate that the lineage specific program, regulated by the master regulatory transcription factor, includes the regulation of cellular signaling and metabolism which may allow the committed cell to react and behave differently in the same microenvironment.
    [Show full text]
  • Multiplex Gpcr Internalization Assay Using Reverse Transduction on Adenoviral Vector Immobilized Microparticles S
    MULTIPLEX GPCR INTERNALIZATION ASSAY USING REVERSE TRANSDUCTION ON ADENOVIRAL VECTOR IMMOBILIZED MICROPARTICLES S. Han1,2, H.J. Bae1,2, W. Park3 and S. Kwon1,2* 1Department of Electrical and Computer Engineering, Inter-university Semiconductor Research Center (ISRC), Seoul National University, SOUTH KOREA 2Center for Nanoparticle Research, Institute for Basic Science (IBS), SOUTH KOREA and 3Department of Electronics and Radio Engineering, Institute for Laser Engineering, Kyung Hee University, SOUTH KOREA ABSTRACT We present a new multiplexing method for high-throughput cell-based assays in a microtiter well based on reverse transduction of cells by adenoviral vectors immobilized on encoded microparticles. Our particle-based approach spatially confines the gene delivery to cells seeded on the particles and provides the code for identifying the delivered gene, thus easily achieving a multiplex cell microarray in a microtiter well by means of a single pipetting without the cross- expression of genes and the positional identification. Utilizing this method with adenoviral vectors having a G-protein coupled recpeptor (GPCR) gene, we demonstrated 3-plex GPCR internalization assay. KEYWORDS: Multiplex GPCR assay, Reverse transduction, Adenovirus, Encoded microparticle INTRODUCTION G-protein coupled receptors (GPCRs) in the cell membrane are major drug targets in pharmaceutical industry since they interact with a huge variety of endogenous ligands and trigger intracellular functions related to many physiological processes or diseases [1]. Many cell-based assay strategies have been developed to identify GPCR-targeted drugs with more biologically relevant data. Since typical cell-based assays are performed in the microtiter wells and it allows only one type of receptor for each well, multiplex cellular assay technologies have emerged to run high-throughput compound screening with over several hundreds of GPCRs.
    [Show full text]
  • 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
    [Show full text]
  • Examination of the Transcription Factors Acting in Bone Marrow
    THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY (PHD) Examination of the transcription factors acting in bone marrow derived macrophages by Gergely Nagy Supervisor: Dr. Endre Barta UNIVERSITY OF DEBRECEN DOCTORAL SCHOOL OF MOLECULAR CELL AND IMMUNE BIOLOGY DEBRECEN, 2016 Table of contents Table of contents ........................................................................................................................ 2 1. Introduction ............................................................................................................................ 5 1.1. Transcriptional regulation ................................................................................................... 5 1.1.1. Transcriptional initiation .................................................................................................. 5 1.1.2. Co-regulators and histone modifications .......................................................................... 8 1.2. Promoter and enhancer sequences guiding transcription factors ...................................... 11 1.2.1. General transcription factors .......................................................................................... 11 1.2.2. The ETS superfamily ..................................................................................................... 17 1.2.3. The AP-1 and CREB proteins ........................................................................................ 20 1.2.4. Other promoter specific transcription factor families ...................................................
    [Show full text]
  • Open Dogan Phdthesis Final.Pdf
    The Pennsylvania State University The Graduate School Eberly College of Science ELUCIDATING BIOLOGICAL FUNCTION OF GENOMIC DNA WITH ROBUST SIGNALS OF BIOCHEMICAL ACTIVITY: INTEGRATIVE GENOME-WIDE STUDIES OF ENHANCERS A Dissertation in Biochemistry, Microbiology and Molecular Biology by Nergiz Dogan © 2014 Nergiz Dogan Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy August 2014 ii The dissertation of Nergiz Dogan was reviewed and approved* by the following: Ross C. Hardison T. Ming Chu Professor of Biochemistry and Molecular Biology Dissertation Advisor Chair of Committee David S. Gilmour Professor of Molecular and Cell Biology Anton Nekrutenko Professor of Biochemistry and Molecular Biology Robert F. Paulson Professor of Veterinary and Biomedical Sciences Philip Reno Assistant Professor of Antropology Scott B. Selleck Professor and Head of the Department of Biochemistry and Molecular Biology *Signatures are on file in the Graduate School iii ABSTRACT Genome-wide measurements of epigenetic features such as histone modifications, occupancy by transcription factors and coactivators provide the opportunity to understand more globally how genes are regulated. While much effort is being put into integrating the marks from various combinations of features, the contribution of each feature to accuracy of enhancer prediction is not known. We began with predictions of 4,915 candidate erythroid enhancers based on genomic occupancy by TAL1, a key hematopoietic transcription factor that is strongly associated with gene induction in erythroid cells. Seventy of these DNA segments occupied by TAL1 (TAL1 OSs) were tested by transient transfections of cultured hematopoietic cells, and 56% of these were active as enhancers. Sixty-six TAL1 OSs were evaluated in transgenic mouse embryos, and 65% of these were active enhancers in various tissues.
    [Show full text]
  • 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.
    [Show full text]
  • Searching for Novel Peptide Hormones in the Human Genome Olivier Mirabeau
    Searching for novel peptide hormones in the human genome Olivier Mirabeau To cite this version: Olivier Mirabeau. Searching for novel peptide hormones in the human genome. Life Sciences [q-bio]. Université Montpellier II - Sciences et Techniques du Languedoc, 2008. English. tel-00340710 HAL Id: tel-00340710 https://tel.archives-ouvertes.fr/tel-00340710 Submitted on 21 Nov 2008 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITE MONTPELLIER II SCIENCES ET TECHNIQUES DU LANGUEDOC THESE pour obtenir le grade de DOCTEUR DE L'UNIVERSITE MONTPELLIER II Discipline : Biologie Informatique Ecole Doctorale : Sciences chimiques et biologiques pour la santé Formation doctorale : Biologie-Santé Recherche de nouvelles hormones peptidiques codées par le génome humain par Olivier Mirabeau présentée et soutenue publiquement le 30 janvier 2008 JURY M. Hubert Vaudry Rapporteur M. Jean-Philippe Vert Rapporteur Mme Nadia Rosenthal Examinatrice M. Jean Martinez Président M. Olivier Gascuel Directeur M. Cornelius Gross Examinateur Résumé Résumé Cette thèse porte sur la découverte de gènes humains non caractérisés codant pour des précurseurs à hormones peptidiques. Les hormones peptidiques (PH) ont un rôle important dans la plupart des processus physiologiques du corps humain.
    [Show full text]
  • Discovery of Progenitor Cell Signatures by Time-Series Synexpression Analysis During Drosophila Embryonic Cell Immortalization
    Correction DEVELOPMENTAL BIOLOGY Correction for “Discovery of progenitor cell signatures by time- series synexpression analysis during Drosophila embryonic cell immortalization,” by Mary-Lee Dequéant, Delphine Fagegaltier, Yanhui Hu, Kerstin Spirohn, Amanda Simcox, Gregory J. Hannon, and Norbert Perrimon, which appeared in issue 42, October 20, 2015, of Proc Natl Acad Sci USA (112:12974–12979; first published October 5, 2015; 10.1073/pnas.1517729112). The authors note that Delphine Fagegaltier should be credited for designing research and performing research. The authors also note that Delphine Fagegaltier, Amanda Simcox, and Gregory J. Hannon should be credited for contributing to the writing of the paper. The corrected author contributions footnote appears below. Author contributions: M.-L.D., D.F., A.S., G.J.H., and N.P. designed research; M.-L.D., D.F., K.S., and A.S. performed research; M.-L.D., D.F., and Y.H. analyzed data; and M.-L.D. and N.P. wrote the paper with contributions from D.F., A.S., and G.J.H. www.pnas.org/cgi/doi/10.1073/pnas.1520482112 E6408 | PNAS | November 17, 2015 | vol. 112 | no. 46 www.pnas.org Downloaded by guest on September 25, 2021 Discovery of progenitor cell signatures by time-series synexpression analysis during Drosophila embryonic cell immortalization Mary-Lee Dequéanta,1, Delphine Fagegaltierb, Yanhui Hua, Kerstin Spirohna, Amanda Simcoxc, Gregory J. Hannond, and Norbert Perrimona,e,1 aDepartment of Genetics, Harvard Medical School, Boston, MA 02115, bCold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724; cDepartment of Molecular Genetics, The Ohio State University, Columbus, OH 43210; dHoward Hughes Medical Institute, Cold Spring Harbor Laboratories, Cold Spring Harbor, NY 11724; and eHoward Hughes Medical Institute, Harvard Medical School, Boston, MA 02115 Contributed by Norbert Perrimon, September 10, 2015 (sent for review May 18, 2015; reviewed by Peter Cherbas, Gary Karpen, and Renato Paro) The use of time series profiling to identify groups of functionally population contributing to adult muscles (4–7).
    [Show full text]
  • The EMILIN/Multimerin Family
    View metadata, citation and similar papers at core.ac.uk brought to you by CORE REVIEW ARTICLE published: 06 Januaryprovided 2012 by Frontiers - Publisher Connector doi: 10.3389/fimmu.2011.00093 The EMILIN/multimerin family Alfonso Colombatti 1,2,3*, Paola Spessotto1, Roberto Doliana1, Maurizio Mongiat 1, Giorgio Maria Bressan4 and Gennaro Esposito2,3 1 Experimental Oncology 2, Centro di Riferimento Oncologico, Istituto di Ricerca e Cura a Carattere Scientifico, Aviano, Italy 2 Department of Biomedical Science and Technology, University of Udine, Udine, Italy 3 Microgravity, Ageing, Training, Immobility Excellence Center, University of Udine, Udine, Italy 4 Department of Histology Microbiology and Medical Biotechnologies, University of Padova, Padova, Italy Edited by: Elastin microfibrillar interface proteins (EMILINs) and Multimerins (EMILIN1, EMILIN2, Uday Kishore, Brunel University, UK Multimerin1, and Multimerin2) constitute a four member family that in addition to the Reviewed by: shared C-terminus gC1q domain typical of the gC1q/TNF superfamily members contain a Uday Kishore, Brunel University, UK Kenneth Reid, Green Templeton N-terminus unique cysteine-rich EMI domain. These glycoproteins are homotrimeric and College University of Oxford, UK assemble into high molecular weight multimers. They are predominantly expressed in *Correspondence: the extracellular matrix and contribute to several cellular functions in part associated with Alfonso Colombatti, Division of the gC1q domain and in part not yet assigned nor linked to other specific regions of the Experimental Oncology 2, Centro di sequence. Among the latter is the control of arterial blood pressure, the inhibition of Bacil- Riferimento Oncologico, Istituto di Ricerca e Cura a Carattere Scientifico, lus anthracis cell cytotoxicity, the promotion of cell death, the proangiogenic function, and 33081 Aviano, Italy.
    [Show full text]