Linkage to 20P13 Including the ANGPT4 Gene in Families With
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1 2 3 4 5 6 7 Supplementary Information for 8 9 Fractalkine-induced microglial vasoregulation occurs within the retina and is altered early in diabetic 10 retinopathy 11 12 *Samuel A. Mills, *Andrew I. Jobling, *Michael A. Dixon, Bang V. Bui, Kirstan A. Vessey, Joanna A. Phipps, 13 Ursula Greferath, Gene Venables, Vickie H.Y. Wong, Connie H.Y. Wong, Zheng He, Flora Hui, James C. 14 Young, Josh Tonc, Elena Ivanova, Botir T. Sagdullaev, Erica L. Fletcher 15 * Joint first authors 16 17 Corresponding author: 18 Prof. Erica L. Fletcher. Department of Anatomy & Neuroscience. The University of Melbourne, Grattan St, 19 Parkville 3010, Victoria, Australia. 20 Email: [email protected] ; Tel: +61-3-8344-3218; Fax: +61-3-9347-5219 21 22 This PDF file includes: 23 24 Supplementary text 25 Figures S1 to S10 26 Tables S1 to S7 27 Legends for Movies S1 to S2 28 SI References 29 30 Other supplementary materials for this manuscript include the following: 31 32 Movies S1 to S2 33 34 35 36 1 1 Supplementary Information Text 2 Materials and Methods 3 Microglial process movement on retinal vessels 4 Dark agouti rats were anaesthetized, injected intraperitoneally with rhodamine B (Sigma-Aldrich) to label blood 5 vessels and retinal explants established as described in the main text. Retinal microglia were labelled with Iba-1 6 and imaging performed on an inverted confocal microscope (Leica SP5). Baseline images were taken for 10 7 minutes, followed by the addition of PBS (10 minutes) and then either fractalkine or fractalkine + candesartan 8 (10 minutes) using concentrations outlined in the main 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. -
Genomic Selection Signatures in Sheep from the Western Pyrenees Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, Andone Estonba
Genomic selection signatures in sheep from the Western Pyrenees Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, Andone Estonba To cite this version: Otsanda Ruiz-Larrañaga, Jorge Langa, Fernando Rendo, Carmen Manzano, Mikel Iriondo, et al.. Genomic selection signatures in sheep from the Western Pyrenees. Genetics Selection Evolution, BioMed Central, 2018, 50 (1), pp.9. 10.1186/s12711-018-0378-x. hal-02405217 HAL Id: hal-02405217 https://hal.archives-ouvertes.fr/hal-02405217 Submitted on 11 Dec 2019 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. Distributed under a Creative Commons Attribution| 4.0 International License Ruiz-Larrañaga et al. Genet Sel Evol (2018) 50:9 https://doi.org/10.1186/s12711-018-0378-x Genetics Selection Evolution RESEARCH ARTICLE Open Access Genomic selection signatures in sheep from the Western Pyrenees Otsanda Ruiz‑Larrañaga1* , Jorge Langa1, Fernando Rendo2, Carmen Manzano1, Mikel Iriondo1 and Andone Estonba1 Abstract Background: The current large spectrum of sheep phenotypic diversity -
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(19) TZZ¥ ZZ_T (11) EP 3 260 540 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 27.12.2017 Bulletin 2017/52 C12N 15/113 (2010.01) A61K 9/127 (2006.01) A61K 31/713 (2006.01) C12Q 1/68 (2006.01) (21) Application number: 17000579.7 (22) Date of filing: 12.11.2011 (84) Designated Contracting States: • Sarma, Kavitha AL AT BE BG CH CY CZ DE DK EE ES FI FR GB Philadelphia, PA 19146 (US) GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO • Borowsky, Mark PL PT RO RS SE SI SK SM TR Needham, MA 02494 (US) • Ohsumi, Toshiro Kendrick (30) Priority: 12.11.2010 US 412862 P Cambridge, MA 02141 (US) 20.12.2010 US 201061425174 P 28.07.2011 US 201161512754 P (74) Representative: Clegg, Richard Ian et al Mewburn Ellis LLP (62) Document number(s) of the earlier application(s) in City Tower accordance with Art. 76 EPC: 40 Basinghall Street 11840099.3 / 2 638 163 London EC2V 5DE (GB) (71) Applicant: The General Hospital Corporation Remarks: Boston, MA 02114 (US) •Thecomplete document including Reference Tables and the Sequence Listing can be downloaded from (72) Inventors: the EPO website • Lee, Jeannie T •This application was filed on 05-04-2017 as a Boston, MA 02114 (US) divisional application to the application mentioned • Zhao, Jing under INID code 62. San Diego, CA 92122 (US) •Claims filed after the date of receipt of the divisional application (Rule 68(4) EPC). (54) POLYCOMB-ASSOCIATED NON-CODING RNAS (57) This invention relates to long non-coding RNAs (IncRNAs), libraries of those ncRNAs that bind chromatin modifiers, such as Polycomb Repressive Complex 2, inhibitory nucleic acids and methods and compositions for targeting IncRNAs. -
Identification of Tumor-Associated Cassette Exons in Human Cancer
Valletti et al. Molecular Cancer 2010, 9:230 http://www.molecular-cancer.com/content/9/1/230 RESEARCH Open Access Identification of tumor-associated cassette exons in human cancer through EST-based computational prediction and experimental validation Alessio Valletti1†, Anna Anselmo2†, Marina Mangiulli1, Ilenia Boria1, Flavio Mignone3, Giuseppe Merla4, Vincenzo D’Angelo5, Apollonia Tullo6, Elisabetta Sbisà6, Anna Maria D’Erchia1, Graziano Pesole1,7* Abstract Background: Many evidences report that alternative splicing, the mechanism which produces mRNAs and proteins with different structures and functions from the same gene, is altered in cancer cells. Thus, the identification and characterization of cancer-specific splice variants may give large impulse to the discovery of novel diagnostic and prognostic tumour biomarkers, as well as of new targets for more selective and effective therapies. Results: We present here a genome-wide analysis of the alternative splicing pattern of human genes through a computational analysis of normal and cancer-specific ESTs from seventeen anatomical groups, using data available in AspicDB, a database resource for the analysis of alternative splicing in human. By using a statistical methodology, normal and cancer-specific genes, splice sites and cassette exons were predicted in silico. The condition association of some of the novel normal/tumoral cassette exons was experimentally verified by RT-qPCR assays in the same anatomical system where they were predicted. Remarkably, the presence in vivo of the predicted alternative transcripts, specific for the nervous system, was confirmed in patients affected by glioblastoma. Conclusion: This study presents a novel computational methodology for the identification of tumor-associated transcript variants to be used as cancer molecular biomarkers, provides its experimental validation, and reports specific biomarkers for glioblastoma. -
Genome-Wide Sirna Screen for Mediators of NF-Κb Activation
Genome-wide siRNA screen for mediators SEE COMMENTARY of NF-κB activation Benjamin E. Gewurza, Fadi Towficb,c,1, Jessica C. Marb,d,1, Nicholas P. Shinnersa,1, Kaoru Takasakia, Bo Zhaoa, Ellen D. Cahir-McFarlanda, John Quackenbushe, Ramnik J. Xavierb,c, and Elliott Kieffa,2 aDepartment of Medicine and Microbiology and Molecular Genetics, Channing Laboratory, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115; bCenter for Computational and Integrative Biology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114; cProgram in Medical and Population Genetics, The Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA 02142; dDepartment of Biostatistics, Harvard School of Public Health, Boston, MA 02115; and eDepartment of Biostatistics and Computational Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02115 Contributed by Elliott Kieff, December 16, 2011 (sent for review October 2, 2011) Although canonical NFκB is frequently critical for cell proliferation, (RIPK1). TRADD engages TNFR-associated factor 2 (TRAF2), survival, or differentiation, NFκB hyperactivation can cause malig- which recruits the ubiquitin (Ub) E2 ligase UBC5 and the E3 nant, inflammatory, or autoimmune disorders. Despite intensive ligases cIAP1 and cIAP2. CIAP1/2 polyubiquitinate RIPK1 and study, mammalian NFκB pathway loss-of-function RNAi analyses TRAF2, which recruit and activate the K63-Ub binding proteins have been limited to specific protein classes. We therefore under- TAB1, TAB2, and TAB3, as well as their associated kinase took a human genome-wide siRNA screen for novel NFκB activa- MAP3K7 (TAK1). TAK1 in turn phosphorylates IKKβ activa- tion pathway components. Using an Epstein Barr virus latent tion loop serines to promote IKK activity (4). -
Angiopoietin 4 (ANGPT4) (NM 015985) Human Untagged Clone Product Data
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for SC304373 Angiopoietin 4 (ANGPT4) (NM_015985) Human Untagged Clone Product data: Product Type: Expression Plasmids Product Name: Angiopoietin 4 (ANGPT4) (NM_015985) Human Untagged Clone Tag: Tag Free Symbol: ANGPT4 Synonyms: ANG3; ANG4 Vector: pCMV6-XL5 E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: None This product is to be used for laboratory only. Not for diagnostic or therapeutic use. View online » ©2021 OriGene Technologies, Inc., 9620 Medical Center Drive, Ste 200, Rockville, MD 20850, US 1 / 3 Angiopoietin 4 (ANGPT4) (NM_015985) Human Untagged Clone – SC304373 Fully Sequenced ORF: >OriGene sequence for NM_015985 edited CAGGCAAGCCTGGCCACTGTTGGCTGCAGCAGGACATCCCAGGCACAGCCCCTAGGGCTC TGAGCAGACATCCCTCGCCATTGACACATCTTCAGATGCTCTCCCAGCTAGCCATGCTGC AGGGCAGCCTCCTCCTTGTGGTTGCCACCATGTCTGTGGCTCAACAGACAAGGCAGGAGG CGGATAGGGGCTGCGAGACACTTGTAGTCCAGCACGGCCACTGTAGCTACACCTTCTTGC TGCCCAAGTCTGAGCCCTGCCCTCCGGGGCCTGAGGTCTCCAGGGACTCCAACACCCTCC AGAGAGAATCACTGGCCAACCCACTGCACCTGGGGAAGTTGCCCACCCAGCAGGTGAAAC AGCTGGAGCAGGCACTGCAGAACAACACGCAGTGGCTGAAGAAGCTAGAGAGGGCCATCA AGACGATCTTGAGGTCGAAGCTGGAGCAGGTCCAGCAGCAAATGGCCCAGAATCAGACGG CCCCCATGCTAGAGCTGGGCACCAGCCTCCTGAACCAGACCACTGCCCAGATCCGCAAGC TGACCGACATGGAGGCTCAGCTCCTGAACCAGACATCAAGAATGGATGCCCAGATGCCAG AGACCTTTCTGTCCACCAACAAGCTGGAGAACCAGCTGCTGCTACAGAGGCAGAAGCTCC AGCAGCTTCAGGGCCAAAACAGCGCGCTCGAGAAGCGGTTGCAGGCCCTGGAGACCAAGC -
The Role of Overexpressed Apolipoprotein AV in Insulin-Resistant Hepatocytes
Hindawi BioMed Research International Volume 2020, Article ID 3268505, 13 pages https://doi.org/10.1155/2020/3268505 Research Article The Role of Overexpressed Apolipoprotein AV in Insulin-Resistant Hepatocytes Wang Zhao,1 Yaqiong Liu,1 Xiaobo Liao,2 and Shuiping Zhao 1 1Department of Cardiovascular Medicine, e Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, Hunan 410011, China 2Department of Cardiovascular Surgery, e Second Xiangya Hospital, Central South University, No. 139 Middle Renmin Road, Changsha, Hunan 410011, China Correspondence should be addressed to Shuiping Zhao; [email protected] Received 31 January 2019; Revised 16 July 2019; Accepted 16 August 2019; Published 21 April 2020 Academic Editor: Kui Li Copyright © 2020 Wang Zhao et al. *is is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In this paper, we sought to explore the relationship between apolipoprotein AV (APOAV) overexpression and insulin resistance in hepatocytes. *e insulin-resistant HepG2 cell model was constructed, and then, APOAV-overexpressed HepG2 cells (B-M) were induced by infecting with a recombinant adenovirus vector. Microarray data were developed from B-M samples compared with negative controls (A-con), and the microarray data were analyzed by bioinformatic methods. APOAV-overexpression induced 313 upregulated genes and 563 downregulated ones in B-M sample. *e differentially expressed genes (DEGs) were significantly classified in fat digestion and absorption pathway. Protein-protein interaction network was constructed, and AGTR1 (angiotensin II receptor type 1) and P2RY2 (purinergic receptor P2Y, G-protein coupled 2) were found to be the significant nodes closely related with G-protein related signaling. -
Molecular Analyses of Malignant Pleural Mesothelioma
Molecular Analyses of Malignant Pleural Mesothelioma Shir Kiong Lo National Heart and Lung Institute Imperial College Dovehouse Street London SW3 6LY A thesis submitted for MD (Res) Faculty of Medicine, Imperial College London 2016 1 Abstract Malignant pleural mesothelioma (MPM) is an aggressive cancer that is strongly associated with asbestos exposure. Majority of patients with MPM present with advanced disease and the treatment paradigm mainly involves palliative chemotherapy and best supportive care. The current chemotherapy options are limited and ineffective hence there is an urgent need to improve patient outcomes. This requires better understanding of the genetic alterations driving MPM to improve diagnostic, prognostic and therapeutic strategies. This research aims to gain further insights in the pathogenesis of MPM by exploring the tumour transcriptional and mutational profiles. We compared gene expression profiles of 25 MPM tumours and 5 non-malignant pleura. This revealed differentially expressed genes involved in cell migration, invasion, cell cycle and the immune system that contribute to the malignant phenotype of MPM. We then constructed MPM-associated co-expression networks using weighted gene correlation network analysis to identify clusters of highly correlated genes. These identified three distinct molecular subtypes of MPM associated with genes involved in WNT and TGF-ß signalling pathways. Our results also revealed genes involved in cell cycle control especially the mitotic phase correlated significantly with poor prognosis. Through exome analysis of seven paired tumour/blood and 29 tumour samples, we identified frequent mutations in BAP1 and NF2. Additionally, the mutational profile of MPM is enriched with genes encoding FAK, MAPK and WNT signalling pathways. -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Chapter 2 Gene Regulation and Speciation in House Mice
UC Berkeley UC Berkeley Electronic Theses and Dissertations Title Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) Permalink https://escholarship.org/uc/item/8ck133qd Author Mack, Katya L Publication Date 2018 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) By Katya L. Mack A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Integrative Biology in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Michael W. Nachman, Chair Professor Rasmus Nielsen Professor Craig T. Miller Fall 2018 Abstract Gene regulation and the genomic basis of speciation and adaptation in house mice (Mus musculus) by Katya Mack Doctor of Philosophy in Integrative Biology University of California, Berkeley Professor Michael W. Nachman, Chair Gene expression is a molecular phenotype that is essential to organismal form and fitness. However, how gene regulation evolves over evolutionary time and contributes to phenotypic differences within and between species is still not well understood. In my dissertation, I examined the role of gene regulation in adaptation and speciation in house mice (Mus musculus). In chapter 1, I reviewed theoretical models and empirical data on the role of gene regulation in the origin of new species. I discuss how regulatory divergence between species can result in hybrid dysfunction and point to areas that could benefit from future research. In chapter 2, I characterized regulatory divergence between M. -
Gene Regulation Underlies Environmental Adaptation in House Mice
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Research Gene regulation underlies environmental adaptation in house mice Katya L. Mack,1 Mallory A. Ballinger,1 Megan Phifer-Rixey,2 and Michael W. Nachman1 1Department of Integrative Biology and Museum of Vertebrate Zoology, University of California, Berkeley, California 94720, USA; 2Department of Biology, Monmouth University, West Long Branch, New Jersey 07764, USA Changes in cis-regulatory regions are thought to play a major role in the genetic basis of adaptation. However, few studies have linked cis-regulatory variation with adaptation in natural populations. Here, using a combination of exome and RNA- seq data, we performed expression quantitative trait locus (eQTL) mapping and allele-specific expression analyses to study the genetic architecture of regulatory variation in wild house mice (Mus musculus domesticus) using individuals from five pop- ulations collected along a latitudinal cline in eastern North America. Mice in this transect showed clinal patterns of variation in several traits, including body mass. Mice were larger in more northern latitudes, in accordance with Bergmann’s rule. We identified 17 genes where cis-eQTLs were clinal outliers and for which expression level was correlated with latitude. Among these clinal outliers, we identified two genes (Adam17 and Bcat2) with cis-eQTLs that were associated with adaptive body mass variation and for which expression is correlated with body mass both within and between populations. Finally, we per- formed a weighted gene co-expression network analysis (WGCNA) to identify expression modules associated with measures of body size variation in these mice.