A Comprehensive Transcriptome Analysis of Skeletal Muscles in Two Polish Pig Breeds Differing in Fat and Meat Quality Traits
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A Comprehensive Mapping of the Structure and Gene Organisation in the Sheep MHC Class I Region N
Siva Subramaniam et al. BMC Genomics (2015) 16:810 DOI 10.1186/s12864-015-1992-4 RESEARCH ARTICLE Open Access A comprehensive mapping of the structure and gene organisation in the sheep MHC class I region N. Siva Subramaniam1, EF Morgan1, JD Wetherall1, MJ Stear2,3* and DM Groth1 Abstract Background: The major histocompatibility complex (MHC) is a chromosomal region that regulates immune responsiveness in vertebrates. This region is one of the most important for disease resistance because it has been associated with resistance or susceptibility to a wide variety of diseases and because the MHC often accounts for more of the variance than other loci. Selective breeding for disease resistance is becoming increasingly common in livestock industries, and it is important to determine how this will influence MHC polymorphism and resistance to diseases that are not targeted for selection. However, in sheep the order and sequence of the protein coding genes is controversial. Yet this information is needed to determine precisely how the MHC influences resistance and susceptibility to disease. Methods: CHORI bacterial artificial chromosomes (BACs) known to contain sequences from the sheep MHC class I region were sub-cloned, and the clones partially sequenced. The resulting sequences were analysed and re-assembled to identify gene content and organisation within each BAC. The low resolution MHC class I physical map was then compared to the cattle reference genome, the Chinese Merino sheep MHC map published by Gao, et al. (2010) and the recently available sheep reference genome. Results: Immune related class I genes are clustered into 3 blocks; beta, kappa and a novel block not previously identified in other organisms. -
1 Supporting Information for a Microrna Network Regulates
Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia. -
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. -
The Potential Role of SEPT6 in Liver Fibrosis and Human Hepatocellular Carcinoma. Arch Gastroenterol Res
https://www.scientificarchives.com/journal/archives-of-gastroenterology-research Archives of Gastroenterology Research Commentary The Potential Role of SEPT6 in Liver Fibrosis and Human Hepatocellular Carcinoma Yuhui Fan1,2,3*, Mei Liu3* 1Department of Medicine II, Liver Center Munich, University Hospital, Ludwig-Maximilians-University of Munich, Munich, Germany 2Comprehensive Cancer Center München TUM, Klinikum rechts der Isar, Technical University of Munich (TUM), Munich, Germany 3Institute of Liver and Gastrointestinal Diseases, Department of Gastroenterology, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China *Correspondence should be addressed to Yuhui Fan; [email protected], Mei Liu; [email protected] Received date: May 19, 2020, Accepted date: May 26, 2020 Copyright: © 2020 Fan Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Liver fibrosis is a reversible wound-healing response in and chemotactic has been regarded as the main driver which a variety of cells and factors are involved in and of liver fibrosis [7], thus ECM production is enhanced results in excessive deposition of extracellular matrix [8]. Paracrine signals from damaged epithelial cells, (ECM) [1]. Cirrhosis is one of the significant causes of fibrotic tissue microenvironment, disorders of immunity portal hypertension and end-stage liver disease, and it is and systemic metabolism, intestinal dysbiosis and the 14th most common cause of death around the world. hepatitis virus products can directly or indirectly induce Approximately 1.03 million people worldwide die from HSCs activation [9]. -
AB-PN532 PPP1R11-Py64 Antibody Phosphosite-Specific Polyclonal Antibody for Monitoring the Phosphorylation of Human PPP1R11 (HCG V)
AB-PN532 PPP1R11-pY64 Antibody Phosphosite-specific polyclonal antibody for monitoring the phosphorylation of human PPP1R11 (HCG V) Address: 8755 Ash Street, Suite 1 Vancouver, British Columbia, Email: [email protected] Canada V6P 6T3 Phone: 604-323-2547 Target Protein Name Long: Protein phosphatase 1 regulatory subunit 11 HCG V; HCG-V; HCGV; Hemochromatosis candidate gene V protein; inhibitor-3; IPP3; MGC125741; MGC125742; MGC125743; PP1RB; PPP1R11; Protein phosphatase 1 regulatory subunit 11; protein phosphatase 1, regulatory Alias: (inhibitor) subunit 11; protein phosphatase 1, regulatory (inhibitor) subunit 11, isoform 1; Protein phosphatase inhibitor 3; t-complex-associated-testis- expressed 5; TCTE5; TCTEX5 UniProt ID: O60927 Sequence Predicted Mass (KDa): 13953 126 AA; O60927) Observed SDS-PAGE Mass (KDa): 18-23 Immunogen Antibody Immunogen Source: Human PPP1R11 (HCG V) sequence peptide Cat. No.: PE-04ADI99 Antibody Immunogen Sequence: CCI(pY)EKP(bA)C (bA) = beta-alanine Corresponds to amino acid residues C61 to P67; In the PPI_Ypi1 domain. This is Location in Target: the major in vivo phosphorylation site in PPP1R11. Peptide Type: For phosphosite-specific recognition of target. Target Phosphosite: Tyr-64 Production Antibody Host Species: Rabbit Antibody Type: Polyclonal Antibody Ig Isotype Clone Lot: Immunoglobulin G The immunizing peptide was produced by solid phase synthesis on a multipep peptide synthesizer and purified by reverse-phase hplc chromatography. Purity was assessed by analytical hplc and the amino acid sequence confirmed by mass spectrometry analysis. This peptide was coupled to KLH prior to immunization into rabbits. New Zealand White rabbits were subcutaneously Production Method: injected with KLH-coupled immunizing peptide every 4 weeks for 4 months. -
A Proteome-Scale Map of the Human Interactome Network
Resource A Proteome-Scale Map of the Human Interactome Network Thomas Rolland,1,2,19 Murat Tasxan,1,3,4,5,19 Benoit Charloteaux,1,2,19 Samuel J. Pevzner,1,2,6,7,19 Quan Zhong,1,2,8,19 Nidhi Sahni,1,2,19 Song Yi,1,2,19 Irma Lemmens,9 Celia Fontanillo,10 Roberto Mosca,11 Atanas Kamburov,1,2 Susan D. Ghiassian,1,12 Xinping Yang,1,2 Lila Ghamsari,1,2 Dawit Balcha,1,2 Bridget E. Begg,1,2 Pascal Braun,1,2 Marc Brehme,1,2 Martin P. Broly,1,2 Anne-Ruxandra Carvunis,1,2 Dan Convery-Zupan,1,2 Roser Corominas,13 Jasmin Coulombe-Huntington,1,14 Elizabeth Dann,1,2 Matija Dreze,1,2 Ame´ lie Dricot,1,2 Changyu Fan,1,2 Eric Franzosa,1,14 Fana Gebreab,1,2 Bryan J. Gutierrez,1,2 Madeleine F. Hardy,1,2 Mike Jin,1,2 Shuli Kang,13 Ruth Kiros,1,2 Guan Ning Lin,13 Katja Luck,1,2 Andrew MacWilliams,1,2 Jo¨ rg Menche,1,12 Ryan R. Murray,1,2 Alexandre Palagi,1,2 Matthew M. Poulin,1,2 Xavier Rambout,1,2,15 John Rasla,1,2 Patrick Reichert,1,2 Viviana Romero,1,2 Elien Ruyssinck,9 Julie M. Sahalie,1,2 Annemarie Scholz,1,2 Akash A. Shah,1,2 Amitabh Sharma,1,12 Yun Shen,1,2 Kerstin Spirohn,1,2 Stanley Tam,1,2 Alexander O. Tejeda,1,2 Shelly A. Trigg,1,2 Jean-Claude Twizere,1,2,15 Kerwin Vega,1,2 Jennifer Walsh,1,2 Michael E. -
Identification of Key Genes and Pathways for Alzheimer's Disease
Biophys Rep 2019, 5(2):98–109 https://doi.org/10.1007/s41048-019-0086-2 Biophysics Reports RESEARCH ARTICLE Identification of key genes and pathways for Alzheimer’s disease via combined analysis of genome-wide expression profiling in the hippocampus Mengsi Wu1,2, Kechi Fang1, Weixiao Wang1,2, Wei Lin1,2, Liyuan Guo1,2&, Jing Wang1,2& 1 CAS Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing 100101, China 2 Department of Psychology, University of Chinese Academy of Sciences, Beijing 10049, China Received: 8 August 2018 / Accepted: 17 January 2019 / Published online: 20 April 2019 Abstract In this study, combined analysis of expression profiling in the hippocampus of 76 patients with Alz- heimer’s disease (AD) and 40 healthy controls was performed. The effects of covariates (including age, gender, postmortem interval, and batch effect) were controlled, and differentially expressed genes (DEGs) were identified using a linear mixed-effects model. To explore the biological processes, func- tional pathway enrichment and protein–protein interaction (PPI) network analyses were performed on the DEGs. The extended genes with PPI to the DEGs were obtained. Finally, the DEGs and the extended genes were ranked using the convergent functional genomics method. Eighty DEGs with q \ 0.1, including 67 downregulated and 13 upregulated genes, were identified. In the pathway enrichment analysis, the 80 DEGs were significantly enriched in one Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway, GABAergic synapses, and 22 Gene Ontology terms. These genes were mainly involved in neuron, synaptic signaling and transmission, and vesicle metabolism. These processes are all linked to the pathological features of AD, demonstrating that the GABAergic system, neurons, and synaptic function might be affected in AD. -
Analysis of Kidney Glomerular and Microvascular Transcriptomes
Department of Medical Biochemistry and Biophysics Karolinska Institutet, Stockholm, Sweden ANALYSIS OF KIDNEY GLOMERULAR AND MICROVASCULAR TRANSCRIPTOMES Liqun He Stockholm 2007 All previously published papers were reproduced with permission from the publisher. Published by Karolinska Institutet. Printed by US-AB © Liqun He, 2007 ISBN 978-91-7357-300-9 献给我挚爱的家人 To my beloved family ABSTRACT Kidney glomeruli play a crucial role in the maintenance of body homeostasis. Many diseases attack the kidney function by primarily affecting glomeruli. However, the transcriptome profiles and the function of the glomerulus is poorly understood. Microvascular pericytes are multifunctional cells and they are actively involved in angiogenesis at different aspects. But shortage of molecular markers for pericyte has hampered the studies for its identification, origin and function. In order to explore the transcriptome of kidney glomeruli and microvascular pericytes, several genomics and bioinformatics approaches were applied. First, we constructed and large scale sequenced four Express Sequence Tag (EST) libraries generated from pure preparations of newborn and adult mouse glomeruli. EST sequence analysis produced direct expression profiles of kidney glomerulus and revealed glomerulus- specific expression patterns (GlomBase). By comparing the transcript abundance profiles in the glomerulus EST libraries with public whole kidney libraries, we identified 497 glomerulus-enriched mouse transcripts in the newborn and/or adult mouse glomerulus, eight of which were confirmed by individual experiments. The glomerular ESTs were printed on glass slides in order to generate cDNA microarrays with broad representation of glomerulus-expressed genes (GlomChip). Subsequently, by using GlomChip to compare the RNA samples from the glomerulus with non- glomerulus kidney tissues, we identified 357 mouse genes as glomerulus-enriched and some of them were individually studied in detail. -
Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis
Getting “Under the Skin”: Human Social Genomics in the Multi-Ethnic Study of Atherosclerosis by Kristen Monét Brown A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Epidemiological Science) in the University of Michigan 2017 Doctoral Committee: Professor Ana V. Diez-Roux, Co-Chair, Drexel University Professor Sharon R. Kardia, Co-Chair Professor Bhramar Mukherjee Assistant Professor Belinda Needham Assistant Professor Jennifer A. Smith © Kristen Monét Brown, 2017 [email protected] ORCID iD: 0000-0002-9955-0568 Dedication I dedicate this dissertation to my grandmother, Gertrude Delores Hampton. Nanny, no one wanted to see me become “Dr. Brown” more than you. I know that you are standing over the bannister of heaven smiling and beaming with pride. I love you more than my words could ever fully express. ii Acknowledgements First, I give honor to God, who is the head of my life. Truly, without Him, none of this would be possible. Countless times throughout this doctoral journey I have relied my favorite scripture, “And we know that all things work together for good, to them that love God, to them who are called according to His purpose (Romans 8:28).” Secondly, I acknowledge my parents, James and Marilyn Brown. From an early age, you two instilled in me the value of education and have been my biggest cheerleaders throughout my entire life. I thank you for your unconditional love, encouragement, sacrifices, and support. I would not be here today without you. I truly thank God that out of the all of the people in the world that He could have chosen to be my parents, that He chose the two of you. -
SEPT12 Interacts with SEPT6 and This Interaction Alters the Filament Structure of SEPT6 in Hela Cells
Journal of Biochemistry and Molecular Biology, Vol. 40, No. 6, November 2007, pp. 973-978 SEPT12 Interacts with SEPT6 and This Interaction Alters the Filament Structure of SEPT6 in Hela Cells Xiangming Ding, Wenbo Yu, Ming Liu, Suqin Shen, Fang Chen, Bo Wan and Long Yu* State Key Laboratory of Genetic Engineering, Institute of Genetics, School of Life Science, Fudan University, Shanghai 200433, PR China Received 5 June 2007, Accepted 25 July 2007 Septins are a family of conserved cytoskeletal GTPase 1997; Surka et al., 2002), septins are implicated in a variety of forming heteropolymeric filamentous structure in interphase other celluar processes including polarity determination cells, however, the mechanism of assembly are largely (Gladfelter et al., 2001; Irazoqui et al., 2004), vesicle unknown. Here we described the characterization of trafficking (Hsu et al., 1998; Beites et al., 1999), cytoskeletal SEPT12, sharing closest homology to SEPT3 and SEPT9. remodelling (Kinoshita et al., 1997; Surka et al., 2002) It was revealed that subcelluar localization of SEPT12 ,apoptosis (Larisch et al., 2000) and neoplasia (Russel and varied at interphase and mitotic phase. While SEPT12 Hall, 2005). formed filamentous structures at interphase, it was Up to date, seven yeast septins have been identified: cdc3, localized to the central spindle and to midbody during cdc10, cdc11, cdc12, SPR3, SPR28, and SEP7/SHS1 anaphase and cytokinesis, respectively. In addition, we (DeVirgilio et al., 1996; Mino et al., 1998) and at least five found that SEPT12 can interact with SEPT6 in vitro and in septins, namely PNUT1, SEP1, SEP2, SEP4 and SEP5, are vivo, and this interaction was independent of the coiled coil known in Drosophila (Adam et al., 2000). -
Understanding Multicellular Function and Disease with Human Tissue-Specific Networks
ANALYSIS Understanding multicellular function and disease with human tissue-specific networks Casey S Greene1–3,13, Arjun Krishnan4,13, Aaron K Wong5,13, Emanuela Ricciotti6,7, Rene A Zelaya1, Daniel S Himmelstein8, Ran Zhang9, Boris M Hartmann10, Elena Zaslavsky10, Stuart C Sealfon10, Daniel I Chasman11, Garret A FitzGerald6,7, Kara Dolinski4, Tilo Grosser6,7 & Olga G Troyanskaya4,5,12 Tissue and cell-type identity lie at the core of human tissue- and cell lineage–specific processes1–4. These factors combine physiology and disease. Understanding the genetic to make the understanding of tissue-specific gene functions, disease underpinnings of complex tissues and individual cell lineages is pathophysiology and gene-disease associations particularly challeng- crucial for developing improved diagnostics and therapeutics. ing. Projects such as the Encyclopedia of DNA Elements (ENCODE)5 We present genome-wide functional interaction networks for and The Cancer Genome Atlas (TCGA)6 provide comprehensive 144 human tissues and cell types developed using a data-driven genomic profiles for cell lines and cancers, but the challenge of under- Bayesian methodology that integrates thousands of diverse standing human tissues and cell lineages in the multicellular context of experiments spanning tissue and disease states. Tissue-specific a whole organism remains7. Integrative methods that infer functional networks predict lineage-specific responses to perturbation, gene interaction networks can capture the interplay of pathways, but identify the changing functional roles of genes across tissues existing networks lack tissue specificity8. and illuminate relationships among diseases. We introduce Although direct assay of tissue-specific features remains NetWAS, which combines genes with nominally significant infeasible in many normal human tissues, computational methods genome-wide association study (GWAS) P values and tissue- can infer these features from large data compendia. -
Leukaemia Section
Atlas of Genetics and Cytogenetics in Oncology and Haematology OPEN ACCESS JOURNAL AT INIST-CNRS Leukaemia Section Mini Review t(X;11)(q24;q23) MLL -SEPTIN6 Adriana Zamecnikova Kuwait Cancer Control Center, Laboratory of Cancer Genetics, Department of Hematology, Shuwaikh, 70653 Kuwait (AZ) Published in Atlas Database: February 2011 Online updated version : http://AtlasGeneticsOncology.org/Anomalies/t0X11q24q23ID1219.html DOI: 10.4267/2042/46018 This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 2.0 France Licence. © 2011 Atlas of Genetics and Cytogenetics in Oncology and Haematology leukocytosis (WBC 13.4x10 9/L to 608x10 9/L; mean Clinics and pathology 223x10 9/L), anemia and thrombocytopenia were Disease reported in the majority of patients. All the described cases were diagnosed as having acute Prognosis myeloid leukemia (AML), classified as FAB- M2 (5 From the 4 patients treated with chemotherapy one is cases), M4 (4 cases), M1 (1 case) and M5 (1 case), alive (13+ months), 3 patients died 1 to 8 months from indicating that AML with the MLL-SEPTIN6 fusion diagnosis; 8 patients received bone marrow gene have a tendency to differentiate into the myeloid transplantation, among them 2 of the patients died after lineage. All the patients were infants and young 9 and 11 months, 6 patients are alive (one months to 7 children aged 0 to 29 months, suggesting that AML years) indicating the prognosis is rather poor. with t(X;11)(q24;q23) is a subgroup of infant leukemia. Phenotype/cell stem origin Cytogenetics Suggested involvement of a pluripotent stem cell or a Cytogenetics morphological myeloid progenitor cell.