Common Genetic Factors for Hematological Traits in Humans
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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. -
Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes
International Journal of Environmental Research and Public Health Article Functional Gene Clusters in Global Pathogenesis of Clear Cell Carcinoma of the Ovary Discovered by Integrated Analysis of Transcriptomes Yueh-Han Hsu 1,2, Peng-Hui Wang 1,2,3,4,5 and Chia-Ming Chang 1,2,* 1 Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; [email protected] (Y.-H.H.); [email protected] (P.-H.W.) 2 School of Medicine, National Yang-Ming University, Taipei 112, Taiwan 3 Institute of Clinical Medicine, National Yang-Ming University, Taipei 112, Taiwan 4 Department of Medical Research, China Medical University Hospital, Taichung 440, Taiwan 5 Female Cancer Foundation, Taipei 104, Taiwan * Correspondence: [email protected]; Tel.: +886-2-2875-7826; Fax: +886-2-5570-2788 Received: 27 April 2020; Accepted: 31 May 2020; Published: 2 June 2020 Abstract: Clear cell carcinoma of the ovary (ovarian clear cell carcinoma (OCCC)) is one epithelial ovarian carcinoma that is known to have a poor prognosis and a tendency for being refractory to treatment due to unclear pathogenesis. Published investigations of OCCC have mainly focused only on individual genes and lack of systematic integrated research to analyze the pathogenesis of OCCC in a genome-wide perspective. Thus, we conducted an integrated analysis using transcriptome datasets from a public domain database to determine genes that may be implicated in the pathogenesis involved in OCCC carcinogenesis. We used the data obtained from the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) DataSets. We found six interactive functional gene clusters in the pathogenesis network of OCCC, including ribosomal protein, eukaryotic translation initiation factors, lactate, prostaglandin, proteasome, and insulin-like growth factor. -
Integrating Protein Copy Numbers with Interaction Networks to Quantify Stoichiometry in Mammalian Endocytosis
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.29.361196; this version posted October 29, 2020. 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. Integrating protein copy numbers with interaction networks to quantify stoichiometry in mammalian endocytosis Daisy Duan1, Meretta Hanson1, David O. Holland2, Margaret E Johnson1* 1TC Jenkins Department of Biophysics, Johns Hopkins University, 3400 N Charles St, Baltimore, MD 21218. 2NIH, Bethesda, MD, 20892. *Corresponding Author: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.10.29.361196; this version posted October 29, 2020. 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. Abstract Proteins that drive processes like clathrin-mediated endocytosis (CME) are expressed at various copy numbers within a cell, from hundreds (e.g. auxilin) to millions (e.g. clathrin). Between cell types with identical genomes, copy numbers further vary significantly both in absolute and relative abundance. These variations contain essential information about each protein’s function, but how significant are these variations and how can they be quantified to infer useful functional behavior? Here, we address this by quantifying the stoichiometry of proteins involved in the CME network. We find robust trends across three cell types in proteins that are sub- vs super-stoichiometric in terms of protein function, network topology (e.g. -
Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells
bioRxiv preprint doi: https://doi.org/10.1101/2021.05.25.445659; this version posted May 26, 2021. 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-NC-ND 4.0 International license. Comparative Transcriptomics Identifies Potential Stemness-Related Markers for Mesenchymal Stromal/Stem Cells Authors Myret Ghabriel 1, Ahmed El Hosseiny 1, 2, Ahmed Moustafa*1, 2 and Asma Amleh*1, 2 Affiliations 1Biotechnology Program, American University in Cairo, New Cairo 11835, Egypt 2Department of Biology, American University in Cairo, New Cairo 11835, Egypt *Corresponding authors: Ahmed Moustafa [email protected] Asma Amleh [email protected]. Abstract Mesenchymal stromal/stem cells (MSCs) are multipotent cells residing in multiple tissues with the capacity for self-renewal and differentiation into various cell types. These properties make them promising candidates for regenerative therapies. MSC identification is critical in yielding pure populations for successful therapeutic applications; however, the criteria for MSC identification proposed by the International Society for Cellular Therapy (ISCT) is inconsistent across different tissue sources. In this study, we aimed to identify potential markers to be used together with the ISCT’s criteria to provide a more accurate means of MSC identification. Thus, we carried out a comparative analysis of the expression of human and mouse MSCs derived from multiple tissues to identify the common differentially expressed genes. We show that six members of the proteasome degradation system are similarly expressed across MSCs derived from bone marrow, adipose tissue, amnion, and umbilical cord. -
Genome-Wide Transcript and Protein Analysis Reveals Distinct Features of Aging in the Mouse Heart
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.28.272260; this version posted April 21, 2021. 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-NC-ND 4.0 International license. Genome-wide transcript and protein analysis reveals distinct features of aging in the mouse heart Isabela Gerdes Gyuricza1, Joel M. Chick2, Gregory R. Keele1, Andrew G. Deighan1, Steven C. Munger1, Ron Korstanje1, Steven P. Gygi3, Gary A. Churchill1 1The Jackson Laboratory, Bar Harbor, Maine 04609 USA; 2Vividion Therapeutics, San Diego, California 92121, USA; 3Harvard Medical School, Boston, Massachusetts 02115, USA Corresponding author: [email protected] Key words for online indexing: Heart Aging Transcriptomics Proteomics eQTL pQTL Stoichiometry ABSTRACT Investigation of the molecular mechanisms of aging in the human heart is challenging due to confounding factors, such as diet and medications, as well limited access to tissues. The laboratory mouse provides an ideal model to study aging in healthy individuals in a controlled environment. However, previous mouse studies have examined only a narrow range of the genetic variation that shapes individual differences during aging. Here, we analyzed transcriptome and proteome data from hearts of genetically diverse mice at ages 6, 12 and 18 months to characterize molecular changes that occur in the aging heart. Transcripts and proteins reveal distinct biological processes that are altered through the course of natural aging. Transcriptome analysis reveals a scenario of cardiac hypertrophy, fibrosis, and reemergence of fetal gene expression patterns. -
Identification of Key Genes Implicated in the Suppressive Function of Human FOXP3+CD25+CD4+ Regulatory T Cells Through the Analysis of Time‑Series Data
MOLECULAR MEDICINE REPORTS 17: 3647-3657, 2018 Identification of key genes implicated in the suppressive function of human FOXP3+CD25+CD4+ regulatory T cells through the analysis of time‑series data XIAOFENG BAI, HUA SHI, MINGXI YANG, YUANLIN WANG, ZHAOLIN SUN and SHUXIONG XU Department of Urology, Guizhou Provincial People's Hospital, Guiyang, Guizhou 550002, P.R. China Received July 14, 2016; Accepted April 27, 2017 DOI: 10.3892/mmr.2017.8366 Abstract. Human forkhead box P3 (FOXP3)+ cluster of differ- miR‑146b‑3p, miR‑146b‑5p and miR‑142‑5p, in addition to entiation (CD)25+CD4+ regulatory T cells (Tregs) are a type JAK2, IL2, and STAT5A may serve important roles in Treg of T cell that express CD4, CD25 and FOXP3, which are crit- function. ical for maintaining immune homeostasis. The present study aimed to determine the mechanisms underlying Treg func- Introduction tion. The GSE11292 dataset was downloaded from the Gene Expression Omnibus, which included data from Treg cells at Regulatory T cells (Tregs) are a subgroup of T cells that 19 time points (0-360 min) with an equal interval of 20 min, suppress proliferation of effector T cells, sustain toler- and corresponding repeated samples. However, data for Treg ance to self-antigens and regulate the immune system (1). cells at time point 120 min were missing. Using the Mfuzz As a type of T cell that expresses cluster of differen- package, the key genes were identified by clustering analysis. tiation (CD)4, CD25 and forkhead box P3 (FOXP3), human Subsequently, regulatory networks and protein-protein FOXP3+CD25+CD4+ Tregs are critical for maintaining interaction (PPI) networks were constructed and merged immune homeostasis (2). -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer
Florida International University FIU Digital Commons FIU Electronic Theses and Dissertations University Graduate School 11-7-2018 Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer Jairo Ramos [email protected] Follow this and additional works at: https://digitalcommons.fiu.edu/etd Part of the Clinical Epidemiology Commons Recommended Citation Ramos, Jairo, "Decipher Mechanisms by which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer" (2018). FIU Electronic Theses and Dissertations. 3872. https://digitalcommons.fiu.edu/etd/3872 This work is brought to you for free and open access by the University Graduate School at FIU Digital Commons. It has been accepted for inclusion in FIU Electronic Theses and Dissertations by an authorized administrator of FIU Digital Commons. For more information, please contact [email protected]. FLORIDA INTERNATIONAL UNIVERSITY Miami, Florida DECIPHER MECHANISMS BY WHICH NUCLEAR RESPIRATORY FACTOR ONE (NRF1) COORDINATES CHANGES IN THE TRANSCRIPTIONAL AND CHROMATIN LANDSCAPE AFFECTING DEVELOPMENT AND PROGRESSION OF INVASIVE BREAST CANCER A dissertation submitted in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY in PUBLIC HEALTH by Jairo Ramos 2018 To: Dean Tomás R. Guilarte Robert Stempel College of Public Health and Social Work This dissertation, Written by Jairo Ramos, and entitled Decipher Mechanisms by Which Nuclear Respiratory Factor One (NRF1) Coordinates Changes in the Transcriptional and Chromatin Landscape Affecting Development and Progression of Invasive Breast Cancer, having been approved in respect to style and intellectual content, is referred to you for judgment. -
The Kinesin Spindle Protein Inhibitor Filanesib Enhances the Activity of Pomalidomide and Dexamethasone in Multiple Myeloma
Plasma Cell Disorders SUPPLEMENTARY APPENDIX The kinesin spindle protein inhibitor filanesib enhances the activity of pomalidomide and dexamethasone in multiple myeloma Susana Hernández-García, 1 Laura San-Segundo, 1 Lorena González-Méndez, 1 Luis A. Corchete, 1 Irena Misiewicz- Krzeminska, 1,2 Montserrat Martín-Sánchez, 1 Ana-Alicia López-Iglesias, 1 Esperanza Macarena Algarín, 1 Pedro Mogollón, 1 Andrea Díaz-Tejedor, 1 Teresa Paíno, 1 Brian Tunquist, 3 María-Victoria Mateos, 1 Norma C Gutiérrez, 1 Elena Díaz- Rodriguez, 1 Mercedes Garayoa 1* and Enrique M Ocio 1* 1Centro Investigación del Cáncer-IBMCC (CSIC-USAL) and Hospital Universitario-IBSAL, Salamanca, Spain; 2National Medicines Insti - tute, Warsaw, Poland and 3Array BioPharma, Boulder, Colorado, USA *MG and EMO contributed equally to this work ©2017 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol. 2017.168666 Received: March 13, 2017. Accepted: August 29, 2017. Pre-published: August 31, 2017. Correspondence: [email protected] MATERIAL AND METHODS Reagents and drugs. Filanesib (F) was provided by Array BioPharma Inc. (Boulder, CO, USA). Thalidomide (T), lenalidomide (L) and pomalidomide (P) were purchased from Selleckchem (Houston, TX, USA), dexamethasone (D) from Sigma-Aldrich (St Louis, MO, USA) and bortezomib from LC Laboratories (Woburn, MA, USA). Generic chemicals were acquired from Sigma Chemical Co., Roche Biochemicals (Mannheim, Germany), Merck & Co., Inc. (Darmstadt, Germany). MM cell lines, patient samples and cultures. Origin, authentication and in vitro growth conditions of human MM cell lines have already been characterized (17, 18). The study of drug activity in the presence of IL-6, IGF-1 or in co-culture with primary bone marrow mesenchymal stromal cells (BMSCs) or the human mesenchymal stromal cell line (hMSC–TERT) was performed as described previously (19, 20). -
Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells
Published OnlineFirst December 29, 2011; DOI: 10.1158/2159-8290.CD-11-0224 ReseaRch aRticLe Essential Gene Profiles in Breast, Pancreatic, and Ovarian Cancer Cells Richard Marcotte4, Kevin R. Brown1, Fernando Suarez4, Azin Sayad1, Konstantina Karamboulas1, Paul M. Krzyzanowski4, Fabrice Sircoulomb4, Mauricio Medrano3,4, Yaroslav Fedyshyn1, Judice L.Y. Koh1, Dewald van Dyk1, Bohdana Fedyshyn1, Marianna Luhova1, Glauber C. Brito1, Franco J. Vizeacoumar1, Frederick S. Vizeacoumar5, Alessandro Datti5,7, Dahlia Kasimer1, Alla Buzina1, Patricia Mero1, Christine Misquitta1, Josee Normand4, Maliha Haider4, Troy Ketela1, Jeffrey L. Wrana2,5, Robert Rottapel3,4,6, Benjamin G. Neel3,4, and Jason Moffat1,2 Downloaded from cancerdiscovery.aacrjournals.org on October 1, 2021. © 2012 American Association for Cancer Research. Published OnlineFirst December 29, 2011; DOI: 10.1158/2159-8290.CD-11-0224 The BATTLE Trial: Personalizing Therapy for Lung Cancer rEsEarCh artiClE a bstRact Genomic analyses are yielding a host of new information on the multiple genetic abnormalities associated with specific types of cancer. A comprehensive de- scription of cancer-associated genetic abnormalities can improve our ability to classify tumors into clinically relevant subgroups and, on occasion, identify mutant genes that drive the cancer pheno- type (“drivers”). More often, though, the functional significance of cancer-associated mutations is difficult to discern. Genome-wide pooled short hairpin RNA (shRNA) screens enable global identifi- cation of the genes essential for cancer cell survival and proliferation, providing a “functional ge- nomic” map of human cancer to complement genomic studies. Using a lentiviral shRNA library targeting ~16,000 genes and a newly developed, dynamic scoring approach, we identified essential gene profiles in 72 breast, pancreatic, and ovarian cancer cell lines. -
A Novel Chromosome 19P13.12 Deletion in a Child with Multiple Congenital Anomalies Daniel R
RESEARCH ARTICLE A Novel Chromosome 19p13.12 Deletion in a Child With Multiple Congenital Anomalies Daniel R. Jensen,1 Donna M. Martin,2,3 Stephen Gebarski,4 Trilochan Sahoo,5 Ellen K. Brundage,5 A. Craig Chinault,5 Edgar A. Otto,2 Moumita Chaki,2 Friedhelm Hildebrandt,2,3,6 Sau Wai Cheung,5 and Marci M. Lesperance1* 1Division of Pediatric Otolaryngology, Department of Otolaryngology-Head and Neck Surgery, University of Michigan Health System, Ann Arbor, Michigan 2Department of Pediatrics and Communicable Diseases, University of Michigan Health System, Ann Arbor, Michigan 3Department of Human Genetics, University of Michigan Health System, Ann Arbor, Michigan 4Division of Neuroradiology, Department of Radiology, University of Michigan Health System, Ann Arbor, Michigan 5Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas 6Howard Hughes Medical Institute, University of Michigan Health System, Ann Arbor, Michigan Received 17 March 2008; Accepted 21 November 2008 We describe a patient with multiple congenital anomalies in- cluding deafness, lacrimal duct stenosis, strabismus, bilateral How to Cite this Article: cervical sinuses, congenital cardiac defects, hypoplasia of the Jensen DR, Martin DM, Gebarski S, Sahoo T, corpus callosum, and hypoplasia of the cerebellar vermis. Muta- Brundage EK, Chinault AC, Otto EA, Chaki M, tion analysis of EYA1, SIX1, and SIX5, genes that underlie Hildebrandt F, Cheung SW, Lesperance MM. otofaciocervical and/or branchio-oto-renal syndrome, was neg- 2009. A novel chromosome 19p13.12 deletion ative. Pathologic diagnosis of the excised cervical sinus tracts was in a child with multiple congenital anomalies. revised on re-examination to heterotopic salivary gland tissue. -
Applications of CRISPR/Cas9 Tools in Deciphering the Mechanisms of HIV-1 Persistence
Available online at www.sciencedirect.com ScienceDirect Applications of CRISPR/Cas9 tools in deciphering the mechanisms of HIV-1 persistence 1 2 1 Roxane Verdikt , Gilles Darcis , Amina Ait-Ammar and 1 Carine Van Lint + HIV-1 infection can be controlled but not cured by combination Because the therapy is not curative, HIV individuals antiretroviral therapy. Indeed, the virus persists in treated must thus adhere to a lifelong daily antiretroviral drug individuals in viral reservoirs, the best described of which regimen, which has led to a new set of complications of + consisting in latently infected central memory CD4 T cells. sustained chronic inflammation, premature ageing and However, other cell types in other body compartments than in higher risks of non-AIDS comorbidities [4]. Therefore, the peripheral blood contribute to HIV-1 persistence. addressing the sources of HIV-1 persistence in cART- Addressing the molecular mechanisms of HIV-1 persistence treated individuals is crucial to eradicate the virus and to and their cell-specific and tissue-specific variations is thus allow a cART-free remission. crucial to develop HIV-1 curative strategies. CRISPR/Cas9 editing technologies have revolutionized genetic engineering HIV-1 persists in cART-treated individuals under the by their high specificity and their versatility. Multiple form of viral reservoirs [5 ,6]. The best-characterized applications now allow to investigate the molecular cellular reservoir corresponds to latently infected long- + mechanisms of HIV-1 persistence. Here, we review recent lived resting memory CD4 T cells, especially central + advances in CRISPR-based technologies in deciphering HIV-1 memory CD4 T cells [7,8], although other T-cell subsets gene expression regulation during persistence.