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The Heterotaxy Candidate Gene, TMEM195, Regulates Nuclear Localization of Beta-Catenin
Yale University EliScholar – A Digital Platform for Scholarly Publishing at Yale Yale Medicine Thesis Digital Library School of Medicine January 2015 The etH erotaxy Candidate Gene, Tmem195, Regulates Nuclear Localization Of Beta-Catenin Anna Ruth Duncan Yale School of Medicine, [email protected] Follow this and additional works at: http://elischolar.library.yale.edu/ymtdl Recommended Citation Duncan, Anna Ruth, "The eH terotaxy Candidate Gene, Tmem195, Regulates Nuclear Localization Of Beta-Catenin" (2015). Yale Medicine Thesis Digital Library. 1961. http://elischolar.library.yale.edu/ymtdl/1961 This Open Access Thesis is brought to you for free and open access by the School of Medicine at EliScholar – A Digital Platform for Scholarly Publishing at Yale. It has been accepted for inclusion in Yale Medicine Thesis Digital Library by an authorized administrator of EliScholar – A Digital Platform for Scholarly Publishing at Yale. For more information, please contact [email protected]. The Heterotaxy Candidate Gene, TMEM195, Regulates Nuclear Localization of Beta-catenin A Thesis Submitted to the Yale University School of Medicine in Partial Fulfillment of the Requirements for the Degree of Doctor of Medicine By Anna Ruth Duncan 2015 Abstract THE HETEROTAXY CANDIDATE GENE, TMEM195, REGULATES NUCLEAR LOCALIZATION OF BETA-CATENIN. Anna R. Duncan, John Griffin, Andrew Robson, and Mustafa K. Khokha. Department of Pediatrics, Yale University, School of Medicine, New Haven, CT. Congenital heart disease (CHD) affects 1 in every 130 newborns and is the leading cause of infant mortality (2). Heterotaxy (Htx), a disorder of left-right (LR) development, commonly leads to CHD. Despite aggressive surgical management, patients with Htx have poor survival rates and severe morbidity due to their complex CHD. -
The Title of the Article
Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
Table S1 the Four Gene Sets Derived from Gene Expression Profiles of Escs and Differentiated Cells
Table S1 The four gene sets derived from gene expression profiles of ESCs and differentiated cells Uniform High Uniform Low ES Up ES Down EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol EntrezID GeneSymbol 269261 Rpl12 11354 Abpa 68239 Krt42 15132 Hbb-bh1 67891 Rpl4 11537 Cfd 26380 Esrrb 15126 Hba-x 55949 Eef1b2 11698 Ambn 73703 Dppa2 15111 Hand2 18148 Npm1 11730 Ang3 67374 Jam2 65255 Asb4 67427 Rps20 11731 Ang2 22702 Zfp42 17292 Mesp1 15481 Hspa8 11807 Apoa2 58865 Tdh 19737 Rgs5 100041686 LOC100041686 11814 Apoc3 26388 Ifi202b 225518 Prdm6 11983 Atpif1 11945 Atp4b 11614 Nr0b1 20378 Frzb 19241 Tmsb4x 12007 Azgp1 76815 Calcoco2 12767 Cxcr4 20116 Rps8 12044 Bcl2a1a 219132 D14Ertd668e 103889 Hoxb2 20103 Rps5 12047 Bcl2a1d 381411 Gm1967 17701 Msx1 14694 Gnb2l1 12049 Bcl2l10 20899 Stra8 23796 Aplnr 19941 Rpl26 12096 Bglap1 78625 1700061G19Rik 12627 Cfc1 12070 Ngfrap1 12097 Bglap2 21816 Tgm1 12622 Cer1 19989 Rpl7 12267 C3ar1 67405 Nts 21385 Tbx2 19896 Rpl10a 12279 C9 435337 EG435337 56720 Tdo2 20044 Rps14 12391 Cav3 545913 Zscan4d 16869 Lhx1 19175 Psmb6 12409 Cbr2 244448 Triml1 22253 Unc5c 22627 Ywhae 12477 Ctla4 69134 2200001I15Rik 14174 Fgf3 19951 Rpl32 12523 Cd84 66065 Hsd17b14 16542 Kdr 66152 1110020P15Rik 12524 Cd86 81879 Tcfcp2l1 15122 Hba-a1 66489 Rpl35 12640 Cga 17907 Mylpf 15414 Hoxb6 15519 Hsp90aa1 12642 Ch25h 26424 Nr5a2 210530 Leprel1 66483 Rpl36al 12655 Chi3l3 83560 Tex14 12338 Capn6 27370 Rps26 12796 Camp 17450 Morc1 20671 Sox17 66576 Uqcrh 12869 Cox8b 79455 Pdcl2 20613 Snai1 22154 Tubb5 12959 Cryba4 231821 Centa1 17897 -
The Purification and Identification of Interactors to Elucidate Novel Connections in the HEK 293 Cell Line
The Purification and Identification of Interactors to Elucidate Novel Connections in the HEK 293 Cell Line Brett Hawley Biochemistry, Microbiology and Immunology Faculty of Medicine University of Ottawa © Brett Hawley, Ottawa, Canada, 2012 ABSTRACT The field of proteomics studies the structure and function of proteins in a large scale and high throughput manner. My work in the field of proteomics focuses on identifying interactions between proteins and discovering novel interactions. The identification of these interactions provides new information on metabolic and disease pathways and the working proteome of a cell. Cells are lysed and purified using antibody based affinity purification followed by digestion and identification using an HPLC coupled to a mass spectrometer. In my studies, I looked at the interaction networks of several AD related genes (Apolipoprotein E, Clusterin variant 1 and 2, Low-density lipoprotein receptor, Phosphatidylinositol binding clathrin assembly protein, Alpha- synuclein and Platelet-activating factor receptor) and an endosomal recycling pathway involved in cholesterol metabolism (Eps15 homology domain 1,2 and 4, Proprotein convertase subtilisin/kexin type 9 and Low-density lipoprotein receptor). Several novel and existing interactors were identified and these interactions were validated using co-immunopurification, which could be the basis for future research. ii ACKNOWLEDGEMENTS I would like to take this opportunity to thank my supervisor, Dr. Daniel Figeys, for his support and guidance throughout my studies in his lab. It was a great experience to work in his lab and I am very thankful I was given the chance to learn and work under him. I would also like to thank the members of my lab for all their assistance in learning new techniques and equipment in the lab. -
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. -
MBNL1 Regulates Essential Alternative RNA Splicing Patterns in MLL-Rearranged Leukemia
ARTICLE https://doi.org/10.1038/s41467-020-15733-8 OPEN MBNL1 regulates essential alternative RNA splicing patterns in MLL-rearranged leukemia Svetlana S. Itskovich1,9, Arun Gurunathan 2,9, Jason Clark 1, Matthew Burwinkel1, Mark Wunderlich3, Mikaela R. Berger4, Aishwarya Kulkarni5,6, Kashish Chetal6, Meenakshi Venkatasubramanian5,6, ✉ Nathan Salomonis 6,7, Ashish R. Kumar 1,7 & Lynn H. Lee 7,8 Despite growing awareness of the biologic features underlying MLL-rearranged leukemia, 1234567890():,; targeted therapies for this leukemia have remained elusive and clinical outcomes remain dismal. MBNL1, a protein involved in alternative splicing, is consistently overexpressed in MLL-rearranged leukemias. We found that MBNL1 loss significantly impairs propagation of murine and human MLL-rearranged leukemia in vitro and in vivo. Through transcriptomic profiling of our experimental systems, we show that in leukemic cells, MBNL1 regulates alternative splicing (predominantly intron exclusion) of several genes including those essential for MLL-rearranged leukemogenesis, such as DOT1L and SETD1A.Wefinally show that selective leukemic cell death is achievable with a small molecule inhibitor of MBNL1. These findings provide the basis for a new therapeutic target in MLL-rearranged leukemia and act as further validation of a burgeoning paradigm in targeted therapy, namely the disruption of cancer-specific splicing programs through the targeting of selectively essential RNA binding proteins. 1 Division of Bone Marrow Transplantation and Immune Deficiency, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. 2 Cancer and Blood Diseases Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. 3 Division of Experimental Hematology and Cancer Biology, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45229, USA. -
Dependent Traits in Mice Models of Hyperthyroidism and Hypothyroidism
Phenotypical characterization of sex- dependent traits in mice models of hyperthyroidism and hypothyroidism Inaugural-Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakultät für Biologie an der Universität Duisburg-Essen vorgelegt von Helena Rakov aus St. Petropawlowsk April 2017 Die der vorliegenden Arbeit zugrunde liegenden Experimente wurden am Universitätsklinikum Essen in der Klinik für Endokrinologie und Stoffwechselerkrankungen durchgeführt. 1. Gutachter: Prof. Dr. Dr. Dagmar Führer-Sakel 2. Gutachter: Prof. Dr. Elke Cario Vorsitzender des Prüfungsausschusses: Prof. Dr. Ruth Grümmer Tag der mündlichen Prüfung: 17.07.2017 Publications Publications Engels Kathrin*, Rakov Helena *, Zwanziger Denise, Moeller Lars C., Homuth Georg, Köhrle Josef, Brix Klaudia, Fuhrer Dagmar. Differences in mouse hepatic thyroid hormone transporter expression with age and hyperthyroidism. Eur Thyroid J 2015;4(suppl 1):81–86. DOI: 10.1159/000381020. *contributed equally Zwanziger Denise*, Rakov Helena*, Engels Kathrin, Moeller Lars C., Fuhrer Dagmar. Sex-dependent claudin-1 expression in liver of eu- and hypothyroid mice. Eur Thyroid J. 2015 Sep; 4(Suppl 1): 67–73. DOI: 10.1159/000431316. *contributed equally Engels Kathrin*, Rakov Helena*, Zwanziger Denise, Hoenes Georg Sebastian, Rehders Maren, Brix Klaudia, Koehrle Josef, Moeller Lars Christian, Fuhrer Dagmar. Efficacy of protocols for induction of chronic hyperthyroidism in male and female mice. Endocrine. 2016 Oct;54(1):47-54. DOI: 10.1007/s12020-016-1020-8. Rakov Helena*, Engels Kathrin*, Hönes Georg Sebastian, Strucksberg Karl-Heinz, Moeller Lars Christian, Köhrle Josef, Zwanziger Denise, Führer Dagmar. Sex-specific phenotypes of hyperthyroidism and hypothyroidism in mice. Biol Sex Differ. 2016 Aug 24;7(1):36. DOI: 10.1186/s13293-016-0089-3. -
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PROBING THE INTERACTION OF ASPERGILLUS FUMIGATUS CONIDIA AND HUMAN AIRWAY EPITHELIAL CELLS BY TRANSCRIPTIONAL PROFILING IN BOTH SPECIES by POL GOMEZ B.Sc., The University of British Columbia, 2002 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in THE FACULTY OF GRADUATE STUDIES (Experimental Medicine) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2010 © Pol Gomez, 2010 ABSTRACT The cells of the airway epithelium play critical roles in host defense to inhaled irritants, and in asthma pathogenesis. These cells are constantly exposed to environmental factors, including the conidia of the ubiquitous mould Aspergillus fumigatus, which are small enough to reach the alveoli. A. fumigatus is associated with a spectrum of diseases ranging from asthma and allergic bronchopulmonary aspergillosis to aspergilloma and invasive aspergillosis. Airway epithelial cells have been shown to internalize A. fumigatus conidia in vitro, but the implications of this process for pathogenesis remain unclear. We have developed a cell culture model for this interaction using the human bronchial epithelium cell line 16HBE and a transgenic A. fumigatus strain expressing green fluorescent protein (GFP). Immunofluorescent staining and nystatin protection assays indicated that cells internalized upwards of 50% of bound conidia. Using fluorescence-activated cell sorting (FACS), cells directly interacting with conidia and cells not associated with any conidia were sorted into separate samples, with an overall accuracy of 75%. Genome-wide transcriptional profiling using microarrays revealed significant responses of 16HBE cells and conidia to each other. Significant changes in gene expression were identified between cells and conidia incubated alone versus together, as well as between GFP positive and negative sorted cells. -
UMP/CMPK Is Not the Critical Enzyme in the Metabolism of Pyrimidine Ribonucleotide and Activation of Deoxycytidine Analogs in Human RKO Cells
UMP/CMPK Is Not the Critical Enzyme in the Metabolism of Pyrimidine Ribonucleotide and Activation of Deoxycytidine Analogs in Human RKO Cells Rong Hu1, Wing Lam1, Chih-Hung Hsu1,2, Yung-Chi Cheng* 1 Department of Pharmacology, Yale University School of Medicine, New Haven, Connecticut, United States of America, 2 Department of Oncology, National Taiwan University Hospital, Taipei, Taiwan, Republic of China Abstract Background: Human UMP/CMP kinase was identified based on its enzymatic activity in vitro. The role of this protein is considered critical for the maintenance of pyrimidine nucleotide pool profile and for the metabolism of pyrimidine analogs in cells, based on the in vitro study of partially purified enzyme and recombinant protein. However, no detailed study has yet addressed the role of this protein in nucleotide metabolism in cells. Methodology/Principal Findings: Two stable cell lines in which UMP/CMP kinase (mRNA: AF087865, EC 2.7.4.14) can be either up-regulated or down-regulated were developed using Tet-On Gene Expression Systems. The amount and enzymatic activity of UMP/CMP kinase extracted from these two cell lines can be induced up by 500% or down by 95–98%. The ribonucleotides of endogenous pyrimidine as well as the metabolism of exogenous natural pyrimidine nucleosides and their analogs were not susceptible to the altered amount of UMP/CMP kinase in these two stable RKO cell lines. The level of incorporation of pyrimidine nucleoside analogs, such as gemcitabine (dFdC) and troxacitabine (L-OddC), into cellular DNA and their potency in inhibiting cell growth were not significantly altered by up-regulation or down-regulation of UMP/CMP kinase expression in cells. -
Modulating Hallmarks of Cholangiocarcinoma
University of Nebraska Medical Center DigitalCommons@UNMC Theses & Dissertations Graduate Studies Fall 12-14-2018 Modulating Hallmarks of Cholangiocarcinoma Cody Wehrkamp University of Nebraska Medical Center Follow this and additional works at: https://digitalcommons.unmc.edu/etd Part of the Molecular Biology Commons Recommended Citation Wehrkamp, Cody, "Modulating Hallmarks of Cholangiocarcinoma" (2018). Theses & Dissertations. 337. https://digitalcommons.unmc.edu/etd/337 This Dissertation is brought to you for free and open access by the Graduate Studies at DigitalCommons@UNMC. It has been accepted for inclusion in Theses & Dissertations by an authorized administrator of DigitalCommons@UNMC. For more information, please contact [email protected]. MODULATING HALLMARKS OF CHOLANGIOCARCINOMA by Cody J. Wehrkamp A DISSERTATION Presented to the Faculty of the University of Nebraska Graduate College in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Biochemistry and Molecular Biology Graduate Program Under the Supervision of Professor Justin L. Mott University of Nebraska Medical Center Omaha, Nebraska November 2018 Supervisory Committee: Kaustubh Datta, Ph.D. Melissa Teoh‐Fitzgerald, Ph.D. Richard G. MacDonald, Ph.D. Acknowledgements This endeavor has led to scientific as well as personal growth for me. I am indebted to many for their knowledge, influence, and support along the way. To my mentor, Dr. Justin L. Mott, you have been an incomparable teacher and invaluable guide. You upheld for me the concept that science is intrepid, even when the experience is trying. Through my training, and now here at the end, I can say that it has been an honor to be your protégé. When you have shaped your future graduates to be and do great, I will be privileged to say that I was your first one. -
Identification and Analysis of Single-Nucleotide Polymorphisms in the Gemcitabine Pharmacologic Pathway
The Pharmacogenomics Journal (2004) 4, 307–314 & 2004 Nature Publishing Group All rights reserved 1470-269X/04 $30.00 www.nature.com/tpj ORIGINAL ARTICLE Identification and analysis of single-nucleotide polymorphisms in the gemcitabine pharmacologic pathway AK Fukunaga1 ABSTRACT 2 Significant variability in the antitumor efficacy and systemic toxicity of S Marsh gemcitabine has been observed in cancer patients. However, there are 1 DJ Murry currently no tools for prospective identification of patients at risk for TD Hurley3 untoward events. This study has identified and validated single-nucleotide HL McLeod2 polymorphisms (SNP) in genes involved in gemcitabine metabolism and transport. Database mining was conducted to identify SNPs in 14 genes 1Department of Clinical Pharmacy and Pharmacy involved in gemcitabine metabolism. Pyrosequencing was utilized to Practice, Purdue University, W. Lafayette, IN, determine the SNP allele frequencies in genomic DNA from European and 2 USA; Departments of Medicine, Genetics, and African populations (n ¼ 190). A total of 14 genetic variants (including 12 Molecular Biology and Pharmacology, Washington University School of Medicine and SNPs) were identified in eight of the gemcitabine metabolic pathway genes. the Siteman Cancer Center, St Louis, MO, USA; The majority of the database variants were observed in population samples. 3Department of Biochemistry and Molecular Nine of the 14 (64%) polymorphisms analyzed have allele frequencies that Biology, Indiana University School of Medicine, were found to be significantly different between the European and African Indianapolis, IN, USA populations (Po0.05). This study provides the first step to identify markers Correspondence: for predicting variability in gemcitabine response and toxicity. Dr HL McLeod, Washington University The Pharmacogenomics Journal (2004) 4, 307–314. -
Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia.