Genetic Variation Across RNA Metabolism and Cell Death Gene Networks Is Implicated in the Semantic Variant of Primary Progressive Aphasia
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Analysis of Trans Esnps Infers Regulatory Network Architecture
Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2014 © 2014 Anat Kreimer All rights reserved ABSTRACT Analysis of trans eSNPs infers regulatory network architecture Anat Kreimer eSNPs are genetic variants associated with transcript expression levels. The characteristics of such variants highlight their importance and present a unique opportunity for studying gene regulation. eSNPs affect most genes and their cell type specificity can shed light on different processes that are activated in each cell. They can identify functional variants by connecting SNPs that are implicated in disease to a molecular mechanism. Examining eSNPs that are associated with distal genes can provide insights regarding the inference of regulatory networks but also presents challenges due to the high statistical burden of multiple testing. Such association studies allow: simultaneous investigation of many gene expression phenotypes without assuming any prior knowledge and identification of unknown regulators of gene expression while uncovering directionality. This thesis will focus on such distal eSNPs to map regulatory interactions between different loci and expose the architecture of the regulatory network defined by such interactions. We develop novel computational approaches and apply them to genetics-genomics data in human. We go beyond pairwise interactions to define network motifs, including regulatory modules and bi-fan structures, showing them to be prevalent in real data and exposing distinct attributes of such arrangements. We project eSNP associations onto a protein-protein interaction network to expose topological properties of eSNPs and their targets and highlight different modes of distal regulation. -
Bayesian Hierarchical Modeling of High-Throughput Genomic Data with Applications to Cancer Bioinformatics and Stem Cell Differentiation
BAYESIAN HIERARCHICAL MODELING OF HIGH-THROUGHPUT GENOMIC DATA WITH APPLICATIONS TO CANCER BIOINFORMATICS AND STEM CELL DIFFERENTIATION by Keegan D. Korthauer A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Statistics) at the UNIVERSITY OF WISCONSIN–MADISON 2015 Date of final oral examination: 05/04/15 The dissertation is approved by the following members of the Final Oral Committee: Christina Kendziorski, Professor, Biostatistics and Medical Informatics Michael A. Newton, Professor, Statistics Sunduz Kele¸s,Professor, Biostatistics and Medical Informatics Sijian Wang, Associate Professor, Biostatistics and Medical Informatics Michael N. Gould, Professor, Oncology © Copyright by Keegan D. Korthauer 2015 All Rights Reserved i in memory of my grandparents Ma and Pa FL Grandma and John ii ACKNOWLEDGMENTS First and foremost, I am deeply grateful to my thesis advisor Christina Kendziorski for her invaluable advice, enthusiastic support, and unending patience throughout my time at UW-Madison. She has provided sound wisdom on everything from methodological principles to the intricacies of academic research. I especially appreciate that she has always encouraged me to eke out my own path and I attribute a great deal of credit to her for the successes I have achieved thus far. I also owe special thanks to my committee member Professor Michael Newton, who guided me through one of my first collaborative research experiences and has continued to provide key advice on my thesis research. I am also indebted to the other members of my thesis committee, Professor Sunduz Kele¸s,Professor Sijian Wang, and Professor Michael Gould, whose valuable comments, questions, and suggestions have greatly improved this dissertation. -
Female Fellows of the Royal Society
Female Fellows of the Royal Society Professor Jan Anderson FRS [1996] Professor Ruth Lynden-Bell FRS [2006] Professor Judith Armitage FRS [2013] Dr Mary Lyon FRS [1973] Professor Frances Ashcroft FMedSci FRS [1999] Professor Georgina Mace CBE FRS [2002] Professor Gillian Bates FMedSci FRS [2007] Professor Trudy Mackay FRS [2006] Professor Jean Beggs CBE FRS [1998] Professor Enid MacRobbie FRS [1991] Dame Jocelyn Bell Burnell DBE FRS [2003] Dr Philippa Marrack FMedSci FRS [1997] Dame Valerie Beral DBE FMedSci FRS [2006] Professor Dusa McDuff FRS [1994] Dr Mariann Bienz FMedSci FRS [2003] Professor Angela McLean FRS [2009] Professor Elizabeth Blackburn AC FRS [1992] Professor Anne Mills FMedSci FRS [2013] Professor Andrea Brand FMedSci FRS [2010] Professor Brenda Milner CC FRS [1979] Professor Eleanor Burbidge FRS [1964] Dr Anne O'Garra FMedSci FRS [2008] Professor Eleanor Campbell FRS [2010] Dame Bridget Ogilvie AC DBE FMedSci FRS [2003] Professor Doreen Cantrell FMedSci FRS [2011] Baroness Onora O'Neill * CBE FBA FMedSci FRS [2007] Professor Lorna Casselton CBE FRS [1999] Dame Linda Partridge DBE FMedSci FRS [1996] Professor Deborah Charlesworth FRS [2005] Dr Barbara Pearse FRS [1988] Professor Jennifer Clack FRS [2009] Professor Fiona Powrie FRS [2011] Professor Nicola Clayton FRS [2010] Professor Susan Rees FRS [2002] Professor Suzanne Cory AC FRS [1992] Professor Daniela Rhodes FRS [2007] Dame Kay Davies DBE FMedSci FRS [2003] Professor Elizabeth Robertson FRS [2003] Professor Caroline Dean OBE FRS [2004] Dame Carol Robinson DBE FMedSci -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Synuclein in Filamentous Inclusions of Lewy Bodies From
Proc. Natl. Acad. Sci. USA Vol. 95, pp. 6469–6473, May 1998 Neurobiology a-Synuclein in filamentous inclusions of Lewy bodies from Parkinson’s disease and dementia with Lewy bodies (ubiquitinysarkosyl-insoluble filamentsyimmunoelectron microscopy) MARIA GRAZIA SPILLANTINI*, R. ANTHONY CROWTHER†,ROSS JAKES†,MASATO HASEGAWA†, AND MICHEL GOEDERT†‡ *Medical Research Council Centre for Brain Repair and Department of Neurology, University of Cambridge, Robinson Way, Cambridge CB2 2PY, United Kingdom; and †Medical Research Council Laboratory of Molecular Biology, Hills Road, Cambridge CB2 2QH, United Kingdom Communicated by Max F. Perutz, Medical Research Council, Cambridge, United Kingdom, March 25, 1998 (received for review February 18, 1998) ABSTRACT Lewy bodies and Lewy neurites are the de- Lewy neurites constitute an important part of the pathology fining neuropathological characteristics of Parkinson’s dis- of PD and DLB. They correspond to abnormal neurites that ease and dementia with Lewy bodies. They are made of contain filaments similar to those found in Lewy bodies (9). A abnormal filamentous assemblies of unknown composition. number of proteins have been identified immunologically by We show here that Lewy bodies and Lewy neurites from light microscopy in Lewy bodies and Lewy neurites from PD Parkinson’s disease and dementia with Lewy bodies are and DLB, which include neurofilaments and ubiquitin (10–15). stained strongly by antibodies directed against amino- Although these have been useful as markers for diagnostic terminal and -
XIAO-DISSERTATION-2015.Pdf
CELLULAR AND PROCESS ENGINEERING TO IMPROVE MAMMALIAN MEMBRANE PROTEIN EXPRESSION By Su Xiao A dissertation is submitted to Johns Hopkins University in conformity with the requirements for degree of Doctor of Philosophy Baltimore, Maryland May 2015 © 2015 Su Xiao All Rights Reserved Abstract Improving the expression level of recombinant mammalian proteins has been pursued for production of commercial biotherapeutics in industry, as well as for biomedical studies in academia, as an adequate supply of correctly folded proteins is a prerequisite for all structure and function studies. Presented in this dissertation are different strategies to improve protein functional expression level, especially for membrane proteins. The model protein is neurotensin receptor 1 (NTSR1), a hard-to- express G protein-coupled receptor (GPCR). GPCRs are integral membrane proteins playing a central role in cell signaling and are targets for most of the medicines sold worldwide. Obtaining adequate functional GPCRs has been a bottleneck in their structure studies because the expression of these proteins from mammalian cells is very low. The first strategy is the adoption of mammalian inducible expression system. A stable and inducible T-REx-293 cell line overexpressing an engineered rat NTSR1 was constructed. 2.5 million Functional copies of NTSR1 per cell were detected on plasma membrane, which is 167 fold improvement comparing to NTSR1 constitutive expression. The second strategy is production process development including suspension culture adaptation and induction parameter optimization. A further 3.5 fold improvement was achieved and approximately 1 milligram of purified functional NTSR1 per liter suspension culture was obtained. This was comparable yield to the transient baculovirus- insect cell system. -
Machine Learning to Predict Impulse Control Disorders in Parkinson's
Machine learning to predict impulse control disorders in Parkinson’s disease Johann Faouzi To cite this version: Johann Faouzi. Machine learning to predict impulse control disorders in Parkinson’s disease. Artificial Intelligence [cs.AI]. Sorbonne Université, 2020. English. NNT : 2020SORUS048. tel-03090079v2 HAL Id: tel-03090079 https://hal.archives-ouvertes.fr/tel-03090079v2 Submitted on 26 Mar 2021 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. Abstract MACHINE LEARNING TO PREDICT IMPULSE CONTROL DISORDERS IN PARKINSON’S DISEASE by Johann Faouzi Impulse control disorders are a class of psychiatric disorders characterized by impul- sivity. These disorders are common during the course of Parkinson’s disease, decrease the quality of life of subjects, and increase caregiver burden. Being able to predict which individuals are at higher risk of developing these disorders and when is of high importance. The objective of this thesis is to study impulse control disorders in Parkinson’s disease from the statistical and machine learning points of view, and can be divided into two parts. The first part consists in investigating the predictive performance of the altogether factors associated with these disorders in the literature. -
Signal-Oriented Pathway Analyses Reveal a Signaling Complex As a Synthetic
Author Manuscript Published OnlineFirst on October 10, 2016; DOI: 10.1158/0008-5472.CAN-16-1740 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Signal-oriented pathway analyses reveal a signaling complex as a synthetic lethal target for p53 mutations Songjian Lu1,2,*, Chunhui Cai1,2,*, Gonghong Yan3,4,5,*, Zhuan Zhou3,6, Yong Wan3,6, Vicky Chen1,2, Lujia Chen1,2, Gregory F. Cooper1,2, Lina M. Obeid7, Yusuf A. Hannun7, Adrian V. Lee2,3,4,5§ and Xinghua Lu1,2,§ 1Department of Biomedical Informatics, 2Center for Causal Discovery, 3University of Pittsburgh Cancer Institute, 4Department of Pharmacology and Chemical Biology, 5Magee-Womens Research Institute, 6Department of Cell Biology, Pittsburgh, PA, 7 Department of Medicine, the State University of New York at Stony Brook, Stony Brook, NY * These authors contributed equally to this work § Corresponding Authors: Xinghua Lu, Adrian V Lee Email: [email protected] and [email protected] The authors declare no conflict of interest pertaining to this manuscript. 1 Downloaded from cancerres.aacrjournals.org on September 27, 2021. © 2016 American Association for Cancer Research. Author Manuscript Published OnlineFirst on October 10, 2016; DOI: 10.1158/0008-5472.CAN-16-1740 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Abstract Defining processes that are synthetic lethal with p53 mutations in cancer cells may reveal possible therapeutic strategies. In this study, we report the development of a signal-oriented computational framework for cancer pathway discovery in this context. We applied our bipartite- graph-based functional module discovery algorithm to identify transcriptomic modules abnormally expressed in multiple tumors, such that the genes in a module were likely regulated by a common, perturbed signal. -
Gene Expression Signatures and Biomarkers of Noninvasive And
Oncogene (2006) 25, 2328–2338 & 2006 Nature Publishing Group All rights reserved 0950-9232/06 $30.00 www.nature.com/onc ORIGINAL ARTICLE Gene expression signatures and biomarkers of noninvasive and invasive breast cancer cells: comprehensive profiles by representational difference analysis, microarrays and proteomics GM Nagaraja1, M Othman2, BP Fox1, R Alsaber1, CM Pellegrino3, Y Zeng2, R Khanna2, P Tamburini3, A Swaroop2 and RP Kandpal1 1Department of Biological Sciences, Fordham University, Bronx, NY, USA; 2Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA and 3Bayer Corporation, West Haven, CT, USA We have characterized comprehensive transcript and Keywords: representational difference analysis; micro- proteomic profiles of cell lines corresponding to normal arrays; proteomics; breast carcinoma; biomarkers; breast (MCF10A), noninvasive breast cancer (MCF7) and copper homeostasis invasive breast cancer (MDA-MB-231). The transcript profiles were first analysed by a modified protocol for representational difference analysis (RDA) of cDNAs between MCF7 and MDA-MB-231 cells. The majority of genes identified by RDA showed nearly complete con- Introduction cordance withmicroarray results, and also led to the identification of some differentially expressed genes such The transformation of a normal cell into a cancer cell as lysyl oxidase, copper transporter ATP7A, EphB6, has been correlated to altered expression of a variety of RUNX2 and a variant of RUNX2. The altered transcripts genes (Perou et al., 2000; Becker et al., 2005). The identified by microarray analysis were involved in cell–cell expression of some of these genes is a direct result of or cell–matrix interaction, Rho signaling, calcium home- sequence mutation, whereas other changes occur due to ostasis and copper-binding/sensitive activities. -
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. -
Caspase 6 Disconnects Intermediate Filament-Binding Domain of Periplakin from Its Actin-Binding N-Terminal Region
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Breaking the Connection: Caspase 6 Disconnects Intermediate Filament-Binding Domain of Periplakin from its Actin-Binding N-Terminal Region Andrey E. Kalinin,Ã Alexandr E. Kalinin,Ã Mikko Aho,w Jouni Uitto,w and Sirpa Ahow ÃLaboratory of Skin Biology, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA; wDepartment of Dermatology and Cutaneous Biology, Thomas Jefferson University, Philadelphia, Pennsylvania, USA Periplakin is a member of the plakin family of cytolinkers that connect cytoskeletal networks to each other as well as to the cell junctional complexes. Here, we demonstrate a direct molecular interaction between actin and pe- riplakin. Furthermore, the oligomerization state of periplakin was shown to determine specificity of its binding to intermediate filaments (IF) in vitro. Both the filament association and the cell membrane localization of periplakin were confirmed in the cells overexpressing human periplakin. Double labeling of the N- and C-terminally tagged periplakin revealed unexpected lack of co-localization of periplakin ends in a confluent culture, and separation of the periplakin ends was even more pronounced in apoptotic cells. Western analysis revealed that after induction of apoptosis, periplakin becomes cleaved close to its C-terminal tail. Only the distinct cleavage products, but not the full-length periplakin, were present in the cells detached from the solid support during the apoptotic process. We show that caspase 6 cleaves periplakin at an unconventional recognition site, amino acid sequence TVAD. Thus, the separation of periplakin ends disconnects the actin-binding head-rod domain from the IF-binding C-terminal domain. -
Human Induced Pluripotent Stem Cell–Derived Podocytes Mature Into Vascularized Glomeruli Upon Experimental Transplantation
BASIC RESEARCH www.jasn.org Human Induced Pluripotent Stem Cell–Derived Podocytes Mature into Vascularized Glomeruli upon Experimental Transplantation † Sazia Sharmin,* Atsuhiro Taguchi,* Yusuke Kaku,* Yasuhiro Yoshimura,* Tomoko Ohmori,* ‡ † ‡ Tetsushi Sakuma, Masashi Mukoyama, Takashi Yamamoto, Hidetake Kurihara,§ and | Ryuichi Nishinakamura* *Department of Kidney Development, Institute of Molecular Embryology and Genetics, and †Department of Nephrology, Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan; ‡Department of Mathematical and Life Sciences, Graduate School of Science, Hiroshima University, Hiroshima, Japan; §Division of Anatomy, Juntendo University School of Medicine, Tokyo, Japan; and |Japan Science and Technology Agency, CREST, Kumamoto, Japan ABSTRACT Glomerular podocytes express proteins, such as nephrin, that constitute the slit diaphragm, thereby contributing to the filtration process in the kidney. Glomerular development has been analyzed mainly in mice, whereas analysis of human kidney development has been minimal because of limited access to embryonic kidneys. We previously reported the induction of three-dimensional primordial glomeruli from human induced pluripotent stem (iPS) cells. Here, using transcription activator–like effector nuclease-mediated homologous recombination, we generated human iPS cell lines that express green fluorescent protein (GFP) in the NPHS1 locus, which encodes nephrin, and we show that GFP expression facilitated accurate visualization of nephrin-positive podocyte formation in