Clinical, Cytogenetic and Molecular Study of a Case of Ring Chromosome 10
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Analyse Genetischer Stabilität in Den Nachkommen Bestrahlter Zellen Mittels Klassischer Chromosomenbänderung Und Verschiedener Hochdurchsatz-Techniken
Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Julius-Maximilians-Universität Würzburg vorgelegt von Julia Flunkert geboren in Schwerte Würzburg, 2018 Eingereicht am: …………………………………………….................... Mitglieder der Promotionskommission: Vorsitzender: Gutachter: Univ.-Prof. Dr. med. Thomas Haaf Gutachter: Univ.-Prof. Dr. Thomas Dandekar Tag des Promotionskolloquiums: ……………………….................. Doktorurkunde ausgehändigt am: ………………………................. Eidesstattliche Versicherung Die vorliegende Arbeit wurde von November 2014 bis September 2018 am Institut für Humangenetik der Universität Würzburg unter Betreuung von Herrn Univ.-Prof. Dr. med. Thomas Haaf angefertigt. Hiermit erkläre ich an Eides statt, die Dissertation: „Analyse genetischer Stabilität in den Nachkommen bestrahlter Zellen mittels klassischer Chromosomenbänderung und verschiedener Hochdurchsatz-Techniken“, eigenständig, d. h. insbesondere selbständig und ohne Hilfe eines kommerziellen Promotionsberaters, angefertigt und keine anderen, als die von mir angegebenen Quellen und Hilfsmittel verwendet zu haben. Ich erkläre außerdem, dass die Dissertation weder in gleicher noch in ähnlicher Form bereits in einem anderen Prüfungsverfahren vorgelegen hat. Weiterhin erkläre ich, dass bei allen Abbildungen und Texten bei denen die Verwer- tungsrechte (Copyright) nicht bei mir liegen, diese von den Rechtsinhabern -
Subcellular Localization and Mitotic Interactome Analyses Identify SIRT4 As a Centrosomally Localized and Microtubule Associated Protein
cells Article Subcellular Localization and Mitotic Interactome Analyses Identify SIRT4 as a Centrosomally Localized and Microtubule Associated Protein 1 1, 1 1 Laura Bergmann , Alexander Lang y , Christoph Bross , Simone Altinoluk-Hambüchen , Iris Fey 1, Nina Overbeck 2, Anja Stefanski 2, Constanze Wiek 3, Andreas Kefalas 1, Patrick Verhülsdonk 1, Christian Mielke 4, Dennis Sohn 5, Kai Stühler 2,6, Helmut Hanenberg 3,7, Reiner U. Jänicke 5, Jürgen Scheller 1, Andreas S. Reichert 8 , Mohammad Reza Ahmadian 1 and Roland P. Piekorz 1,* 1 Institute of Biochemistry and Molecular Biology II, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; [email protected] (L.B.); [email protected] (A.L.); [email protected] (C.B.); [email protected] (S.A.-H.); [email protected] (I.F.); [email protected] (A.K.); [email protected] (P.V.); [email protected] (J.S.); [email protected] (M.R.A.) 2 Molecular Proteomics Laboratory, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; [email protected] (N.O.); [email protected] (A.S.); [email protected] (K.S.) 3 Department of Otolaryngology and Head/Neck Surgery, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; [email protected] (C.W.); [email protected] (H.H.) 4 Institute of Clinical Chemistry and Laboratory Diagnostics, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany; [email protected] -
Cooperative Gene Regulation by Microrna Pairs and Their
Published online 29 May 2014 Nucleic Acids Research, 2014, Vol. 42, No. 12 7539–7552 doi: 10.1093/nar/gku465 Cooperative gene regulation by microRNA pairs and their identification using a computational workflow Ulf Schmitz1,*, Xin Lai2, Felix Winter1, Olaf Wolkenhauer1,3, Julio Vera2 and Shailendra K. Gupta1,4 Downloaded from 1Department of Systems Biology and Bioinformatics, University of Rostock, Rostock, Germany, 2Laboratory of Systems Tumor Immunology, Department of Dermatology, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nuremberg, Germany, 3Stellenbosch Institute for Advanced Study (STIAS), Wallenberg Research Centre at Stellenbosch University, Stellenbosch, South Africa and 4Department of Bioinformatics, CSIR-Indian Institute of Toxicology Research, 226001 Lucknow, Uttar Pradesh, India http://nar.oxfordjournals.org/ Received December 22, 2013; Revised April 18, 2014; Accepted May 10, 2014 ABSTRACT fine-tuned through a cellular context-dependent regulation by multiple miRNAs, where miRNAs can either induce MicroRNAs (miRNAs) are an integral part of gene reg- translational repression or target mRNA degradation (4). ulation at the post-transcriptional level. Recently, it Thereby, the miRNA-target regulation machinery can real- at Universitaet Erlangen-Nuernberg, Wirtschafts- und Sozialwissenschaftliche Z on August 3, 2016 has been shown that pairs of miRNAs can repress the ize elaborate gene control functions, including noise buffer- translation of a target mRNA in a cooperative man- ing or homeostasis, and can ultimately mediate distinct tar- ner, which leads to an enhanced effectiveness and get expression patterns appropriate to the demand of differ- specificity in target repression. However, it remains ent biological processes (3,5,6). However, deregulated miR- unclear which miRNA pairs can synergize and which NAs have also been associated with the pathogenesis and genes are target of cooperative miRNA regulation. -
Gene Expression Studies: from Case-Control to Multiple-Population-Based Studies
From the Institute of Human Genetics, Helmholtz Zentrum Munchen,¨ Deutsches Forschungszentrum fur¨ Gesundheit und Umwelt (GmbH) Head: Prof. Dr. Thomas Meitinger Gene expression studies: From case-control to multiple-population-based studies Thesis Submitted for a Doctoral Degree in Natural Sciences at the Faculty of Medicine, Ludwig-Maximilians-Universitat¨ Munchen¨ Katharina Schramm Dachau, Germany 2016 With approval of the Faculty of Medicine Ludwig-Maximilians-Universit¨atM ¨unchen Supervisor/Examiner: Prof. Dr. Thomas Illig Co-Examiners: Prof. Dr. Roland Kappler Dean: Prof. Dr. med. dent. Reinhard Hickel Date of oral examination: 22.12.2016 II Dedicated to my family. III Abstract Recent technological developments allow genome-wide scans of gene expression levels. The reduction of costs and increasing parallelization of processing enable the quantification of 47,000 transcripts in up to twelve samples on a single microarray. Thereby the data collec- tion of large population-based studies was improved. During my PhD, I first developed a workflow for the statistical analyses of case-control stu- dies of up to 50 samples. With large population-based data sets generated I established a pipeline for quality control, data preprocessing and correction for confounders, which re- sulted in substantially improved data. In total, I processed more than 3,000 genome-wide expression profiles using the generated pipeline. With 993 whole blood samples from the population-based KORA (Cooperative Health Research in the Region of Augsburg) study we established one of the largest population-based resource. Using this data set we contributed to a number of transcriptome-wide association studies within national (MetaXpress) and international (CHARGE) consortia. -
Meta-Analysis of Nasopharyngeal Carcinoma
BMC Genomics BioMed Central Research article Open Access Meta-analysis of nasopharyngeal carcinoma microarray data explores mechanism of EBV-regulated neoplastic transformation Xia Chen†1,2, Shuang Liang†1, WenLing Zheng1,3, ZhiJun Liao1, Tao Shang1 and WenLi Ma*1 Address: 1Institute of Genetic Engineering, Southern Medical University, Guangzhou, PR China, 2Xiangya Pingkuang associated hospital, Pingxiang, Jiangxi, PR China and 3Southern Genomics Research Center, Guangzhou, Guangdong, PR China Email: Xia Chen - [email protected]; Shuang Liang - [email protected]; WenLing Zheng - [email protected]; ZhiJun Liao - [email protected]; Tao Shang - [email protected]; WenLi Ma* - [email protected] * Corresponding author †Equal contributors Published: 7 July 2008 Received: 16 February 2008 Accepted: 7 July 2008 BMC Genomics 2008, 9:322 doi:10.1186/1471-2164-9-322 This article is available from: http://www.biomedcentral.com/1471-2164/9/322 © 2008 Chen et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Background: Epstein-Barr virus (EBV) presumably plays an important role in the pathogenesis of nasopharyngeal carcinoma (NPC), but the molecular mechanism of EBV-dependent neoplastic transformation is not well understood. The combination of bioinformatics with evidences from biological experiments paved a new way to gain more insights into the molecular mechanism of cancer. Results: We profiled gene expression using a meta-analysis approach. Two sets of meta-genes were obtained. Meta-A genes were identified by finding those commonly activated/deactivated upon EBV infection/reactivation. -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Network Assessment of Demethylation Treatment in Melanoma: Differential Transcriptome-Methylome and Antigen Profile Signatures
RESEARCH ARTICLE Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures Zhijie Jiang1☯, Caterina Cinti2☯, Monia Taranta2, Elisabetta Mattioli3,4, Elisa Schena3,5, Sakshi Singh2, Rimpi Khurana1, Giovanna Lattanzi3,4, Nicholas F. Tsinoremas1,6, 1 Enrico CapobiancoID * a1111111111 1 Center for Computational Science, University of Miami, Miami, FL, United States of America, 2 Institute of Clinical Physiology, CNR, Siena, Italy, 3 CNR Institute of Molecular Genetics, Bologna, Italy, 4 IRCCS Rizzoli a1111111111 Orthopedic Institute, Bologna, Italy, 5 Endocrinology Unit, Department of Medical & Surgical Sciences, Alma a1111111111 Mater Studiorum University of Bologna, S Orsola-Malpighi Hospital, Bologna, Italy, 6 Department of a1111111111 Medicine, University of Miami, Miami, FL, United States of America a1111111111 ☯ These authors contributed equally to this work. * [email protected] OPEN ACCESS Abstract Citation: Jiang Z, Cinti C, Taranta M, Mattioli E, Schena E, Singh S, et al. (2018) Network assessment of demethylation treatment in Background melanoma: Differential transcriptome-methylome and antigen profile signatures. PLoS ONE 13(11): In melanoma, like in other cancers, both genetic alterations and epigenetic underlie the met- e0206686. https://doi.org/10.1371/journal. astatic process. These effects are usually measured by changes in both methylome and pone.0206686 transcriptome profiles, whose cross-correlation remains uncertain. We aimed to assess at Editor: Roger Chammas, Universidade de Sao systems scale the significance of epigenetic treatment in melanoma cells with different met- Paulo, BRAZIL astatic potential. Received: June 20, 2018 Accepted: October 17, 2018 Methods and findings Published: November 28, 2018 Treatment by DAC demethylation with 5-Aza-2'-deoxycytidine of two melanoma cell lines Copyright: © 2018 Jiang et al. -
INPP5A Monoclonal Antibody (M05), Clone 3D8
INPP5A monoclonal antibody (M05), clone 3D8 Catalog # : H00003632-M05 規格 : [ 100 ug ] List All Specification Application Image Product Mouse monoclonal antibody raised against a partial recombinant Western Blot (Recombinant protein) Description: INPP5A. Immunoprecipitation Immunogen: INPP5A (NP_005530, 288 a.a. ~ 387 a.a) partial recombinant protein with GST tag. MW of the GST tag alone is 26 KDa. Sequence: YFNQEVFRDNNGTALLEFDKELSVFKDRLYELDISFPPSYPYSEDARQG EQYMNTRCPAWCDRILMSPSAKELVLRVSVCCPSPGHRGMWSAGSGL AQPW enlarge Host: Mouse Sandwich ELISA (Recombinant Reactivity: Human protein) Isotype: IgG2a Kappa Quality Control Antibody Reactive Against Recombinant Protein. Testing: enlarge ELISA Western Blot detection against Immunogen (36.74 KDa) . Storage Buffer: In 1x PBS, pH 7.4 Storage Store at -20°C or lower. Aliquot to avoid repeated freezing and thawing. Instruction: MSDS: Download Datasheet: Download Applications Western Blot (Recombinant protein) Protocol Download Immunoprecipitation Page 1 of 3 2016/5/21 Immunoprecipitation of INPP5A transfected lysate using anti-INPP5A monoclonal antibody and Protein A Magnetic Bead (U0007), and immunoblotted with INPP5A MaxPab rabbit polyclonal antibody. Protocol Download Sandwich ELISA (Recombinant protein) Detection limit for recombinant GST tagged INPP5A is 0.1 ng/ml as a capture antibody. Protocol Download ELISA Gene Information Entrez GeneID: 3632 GeneBank NM_005539 Accession#: Protein NP_005530 Accession#: Gene Name: INPP5A Gene Alias: 5PTASE,DKFZp434A1721,MGC116947,MGC116949 Gene inositol polyphosphate-5-phosphatase, 40kDa Description: Omim ID: 600106 Gene Ontology: Hyperlink Gene Summary: The protein encoded by this gene is a membrane-associated type I inositol 1,4,5-trisphosphate (InsP3) 5-phosphatase. InsP3 5- phosphatases hydrolyze Ins(1,4,5)P3, which mobilizes intracellular calcium and acts as a second messenger mediating cell responses to various stimulation. -
Identification of Holocarboxylase Synthetase Chromatin Binding Sites in Human Mammary Cell Lines Using the Damid Technology
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Biological Systems Engineering--Dissertations, Theses, and Student Research Biological Systems Engineering 12-2010 IDENTIFICATION OF HOLOCARBOXYLASE SYNTHETASE CHROMATIN BINDING SITES IN HUMAN MAMMARY CELL LINES USING THE DAMID TECHNOLOGY Dipika Singh University of Nebraska-Lincoln, [email protected] Follow this and additional works at: https://digitalcommons.unl.edu/biosysengdiss Part of the Biological Engineering Commons Singh, Dipika, "IDENTIFICATION OF HOLOCARBOXYLASE SYNTHETASE CHROMATIN BINDING SITES IN HUMAN MAMMARY CELL LINES USING THE DAMID TECHNOLOGY" (2010). Biological Systems Engineering--Dissertations, Theses, and Student Research. 11. https://digitalcommons.unl.edu/biosysengdiss/11 This Article is brought to you for free and open access by the Biological Systems Engineering at DigitalCommons@University of Nebraska - Lincoln. It has been accepted for inclusion in Biological Systems Engineering--Dissertations, Theses, and Student Research by an authorized administrator of DigitalCommons@University of Nebraska - Lincoln. IDENTIFICATION OF HOLOCARBOXYLASE SYNTHETASE CHROMATIN BINDING SITES IN HUMAN MAMMARY CELL LINES USING THE DAMID TECHNOLOGY by Dipika Singh A THESIS Presented to the Faculty of The Graduate College at the University of Nebraska In Partial Fulfillment of Requirements For the Degree of Master of Science Major: Agricultural and Biological Systems Engineering Under the Supervision of Professors Angela K. Pannier and Janos Zempleni Lincoln, Nebraska December, 2010 Identification of holocarboxylase synthetase chromatin binding sites in human mammary cell lines using the DamID technology Dipika Singh, M.S. University of Nebraska, 2010 Advisers: Angela Pannier and Janos Zempleni Holocarboxylase synthetase (HCS) is a chromatin protein that is essential for mediating the covalent binding of biotin to histones. -
Sirt1 Is Regulated by Mir-135A and Involved in DNA Damage Repair During Mouse Cellular Reprogramming
www.aging-us.com AGING 2020, Vol. 12, No. 8 Research Paper Sirt1 is regulated by miR-135a and involved in DNA damage repair during mouse cellular reprogramming Andy Chun Hang Chen1,2,*, Qian Peng2,*, Sze Wan Fong1, William Shu Biu Yeung1,2, Yin Lau Lee1,2 1Department of Obstetrics and Gynaecology, The University of Hong Kong, Hong Kong SAR, China 2Shenzhen Key Laboratory of Fertility Regulation, The University of Hong Kong Shenzhen Hospital, Shenzhen, China *Co-first authors Correspondence to: Yin Lau Lee, William Shu Biu Yeung; email: [email protected], [email protected] Keywords: mouse induced pluripotent stem cells, cellular reprogramming, Sirt1, miR-135a, DNA damage repair Received: December 30, 2019 Accepted: March 30, 2020 Published: April 26, 2020 Copyright: Chen et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Sirt1 facilitates the reprogramming of mouse somatic cells into induced pluripotent stem cells (iPSCs). It is regulated by micro-RNA and reported to be a target of miR-135a. However, their relationship and roles on cellular reprogramming remain unknown. In this study, we found negative correlations between miR-135a and Sirt1 during mouse embryonic stem cells differentiation and mouse embryonic fibroblasts reprogramming. We further found that the reprogramming efficiency was reduced by the overexpression of miR-135a precursor but induced by the miR-135a inhibitor. Co-immunoprecipitation followed by mass spectrometry identified 21 SIRT1 interacting proteins including KU70 and WRN, which were highly enriched for DNA damage repair. -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr.