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(APOCI, -C2, and -E and LDLR) and the Genes C3, PEPD, and GPI (Whole-Arm Translocation/Somatic Cell Hybrids/Genomic Clones/Gene Family/Atherosclerosis) A
Proc. Natl. Acad. Sci. USA Vol. 83, pp. 3929-3933, June 1986 Genetics Regional mapping of human chromosome 19: Organization of genes for plasma lipid transport (APOCI, -C2, and -E and LDLR) and the genes C3, PEPD, and GPI (whole-arm translocation/somatic cell hybrids/genomic clones/gene family/atherosclerosis) A. J. LUSIS*t, C. HEINZMANN*, R. S. SPARKES*, J. SCOTTt, T. J. KNOTTt, R. GELLER§, M. C. SPARKES*, AND T. MOHANDAS§ *Departments of Medicine and Microbiology, University of California School of Medicine, Center for the Health Sciences, Los Angeles, CA 90024; tMolecular Medicine, Medical Research Council Clinical Research Centre, Harrow, Middlesex HA1 3UJ, United Kingdom; and §Department of Pediatrics, Harbor Medical Center, Torrance, CA 90509 Communicated by Richard E. Dickerson, February 6, 1986 ABSTRACT We report the regional mapping of human from defects in the expression of the low density lipoprotein chromosome 19 genes for three apolipoproteins and a lipopro- (LDL) receptor and is strongly correlated with atheroscle- tein receptor as well as genes for three other markers. The rosis (15). Another relatively common dyslipoproteinemia, regional mapping was made possible by the use of a reciprocal type III hyperlipoproteinemia, is associated with a structural whole-arm translocation between the long arm of chromosome variation of apolipoprotein E (apoE) (16). Also, a variety of 19 and the short arm of chromosome 1. Examination of three rare apolipoprotein deficiencies result in gross perturbations separate somatic cell hybrids containing the long arm but not of plasma lipid transport; for example, apoCII deficiency the short arm of chromosome 19 indicated that the genes for results in high fasting levels oftriacylglycerol (17). -
Educational Paper Ciliopathies
Eur J Pediatr (2012) 171:1285–1300 DOI 10.1007/s00431-011-1553-z REVIEW Educational paper Ciliopathies Carsten Bergmann Received: 11 June 2011 /Accepted: 3 August 2011 /Published online: 7 September 2011 # The Author(s) 2011. This article is published with open access at Springerlink.com Abstract Cilia are antenna-like organelles found on the (NPHP) . Ivemark syndrome . Meckel syndrome (MKS) . surface of most cells. They transduce molecular signals Joubert syndrome (JBTS) . Bardet–Biedl syndrome (BBS) . and facilitate interactions between cells and their Alstrom syndrome . Short-rib polydactyly syndromes . environment. Ciliary dysfunction has been shown to Jeune syndrome (ATD) . Ellis-van Crefeld syndrome (EVC) . underlie a broad range of overlapping, clinically and Sensenbrenner syndrome . Primary ciliary dyskinesia genetically heterogeneous phenotypes, collectively (Kartagener syndrome) . von Hippel-Lindau (VHL) . termed ciliopathies. Literally, all organs can be affected. Tuberous sclerosis (TSC) . Oligogenic inheritance . Modifier. Frequent cilia-related manifestations are (poly)cystic Mutational load kidney disease, retinal degeneration, situs inversus, cardiac defects, polydactyly, other skeletal abnormalities, and defects of the central and peripheral nervous Introduction system, occurring either isolated or as part of syn- dromes. Characterization of ciliopathies and the decisive Defective cellular organelles such as mitochondria, perox- role of primary cilia in signal transduction and cell isomes, and lysosomes are well-known -
Ciliopathiesneuromuscularciliopathies Disorders Disorders Ciliopathiesciliopathies
NeuromuscularCiliopathiesNeuromuscularCiliopathies Disorders Disorders CiliopathiesCiliopathies AboutAbout EGL EGL Genet Geneticsics EGLEGL Genetics Genetics specializes specializes in ingenetic genetic diagnostic diagnostic testing, testing, with with ne nearlyarly 50 50 years years of of clinical clinical experience experience and and board-certified board-certified labor laboratoryatory directorsdirectors and and genetic genetic counselors counselors reporting reporting out out cases. cases. EGL EGL Genet Geneticsics offers offers a combineda combined 1000 1000 molecular molecular genetics, genetics, biochemical biochemical genetics,genetics, and and cytogenetics cytogenetics tests tests under under one one roof roof and and custom custom test testinging for for all all medically medically relevant relevant genes, genes, for for domestic domestic andand international international clients. clients. EquallyEqually important important to to improving improving patient patient care care through through quality quality genetic genetic testing testing is is the the contribution contribution EGL EGL Genetics Genetics makes makes back back to to thethe scientific scientific and and medical medical communities. communities. EGL EGL Genetics Genetics is is one one of of only only a afew few clinical clinical diagnostic diagnostic laboratories laboratories to to openly openly share share data data withwith the the NCBI NCBI freely freely available available public public database database ClinVar ClinVar (>35,000 (>35,000 variants variants on on >1700 >1700 genes) genes) and and is isalso also the the only only laboratory laboratory with with a a frefree oen olinnlein dea dtabtaabsaes (eE m(EVmCVlaCslas)s,s f)e, afetuatruinrgin ag vaa vraiarniatn ctl acslasisfiscifiactiaotino sne saercahrc ahn adn rde rpeoprot rrte rqeuqeuset sint tinetrefarcfaec, ew, hwichhic fha cfailcitialiteatse rsa praidp id interactiveinteractive curation curation and and reporting reporting of of variants. -
TGF-Β1 Signaling Targets Metastasis-Associated Protein 1, a New Effector in Epithelial Cells
Oncogene (2011) 30, 2230–2241 & 2011 Macmillan Publishers Limited All rights reserved 0950-9232/11 www.nature.com/onc ORIGINAL ARTICLE TGF-b1 signaling targets metastasis-associated protein 1, a new effector in epithelial cells SB Pakala1, K Singh1,3, SDN Reddy1, K Ohshiro1, D-Q Li1, L Mishra2 and R Kumar1 1Department of Biochemistry and Molecular Biology and Institute of Coregulator Biology, The George Washington University Medical Center, Washington, DC, USA and 2Department of Gastroenterology, Hepatology and Nutrition, The University of Texas MD Anderson Cancer Center, Houston, TX, USA In spite of a large number of transforming growth factor b1 gene chromatin in response to upstream signals. The (TGF-b1)-regulated genes, the nature of its targets with TGF-b1-signaling is largely mediated by Smad proteins roles in transformation continues to be poorly understood. (Massague et al., 2005) where Smad2 and Smad3 are Here, we discovered that TGF-b1 stimulates transcription phosphorylated by TGF-b1-receptors and associate with of metastasis-associated protein 1 (MTA1), a dual master the common mediator Smad4, which translocates to the coregulator, in epithelial cells, and that MTA1 status is a nucleus to participate in the expression of TGF-b1-target determinant of TGF-b1-induced epithelial-to-mesenchymal genes (Deckers et al., 2006). Previous studies have shown transition (EMT) phenotypes. In addition, we found that that CUTL1, also known as CDP (CCAAT displacement MTA1/polymerase II/activator protein-1 (AP-1) co-activator protein), a target of TGF-b1, is needed for its short-term complex interacts with the FosB-gene chromatin and stimu- effects of TGF-b1 on cell motility involving Smad4- lates its transcription, and FosB in turn, utilizes FosB/histone dependent pathway (Michl et al.,2005). -
Global-Scale Analysis of the Dynamic Transcriptional Adaptations Within Skeletal Muscle During Hypertrophic Growth
University of Kentucky UKnowledge Theses and Dissertations--Physiology Physiology 2015 GLOBAL-SCALE ANALYSIS OF THE DYNAMIC TRANSCRIPTIONAL ADAPTATIONS WITHIN SKELETAL MUSCLE DURING HYPERTROPHIC GROWTH Tyler Kirby University of Kentucky, [email protected] Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Kirby, Tyler, "GLOBAL-SCALE ANALYSIS OF THE DYNAMIC TRANSCRIPTIONAL ADAPTATIONS WITHIN SKELETAL MUSCLE DURING HYPERTROPHIC GROWTH" (2015). Theses and Dissertations--Physiology. 22. https://uknowledge.uky.edu/physiology_etds/22 This Doctoral Dissertation is brought to you for free and open access by the Physiology at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Physiology by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. I agree that the document mentioned above may be made available immediately for worldwide access unless an embargo applies. -
Table 2. Significant
Table 2. Significant (Q < 0.05 and |d | > 0.5) transcripts from the meta-analysis Gene Chr Mb Gene Name Affy ProbeSet cDNA_IDs d HAP/LAP d HAP/LAP d d IS Average d Ztest P values Q-value Symbol ID (study #5) 1 2 STS B2m 2 122 beta-2 microglobulin 1452428_a_at AI848245 1.75334941 4 3.2 4 3.2316485 1.07398E-09 5.69E-08 Man2b1 8 84.4 mannosidase 2, alpha B1 1416340_a_at H4049B01 3.75722111 3.87309653 2.1 1.6 2.84852656 5.32443E-07 1.58E-05 1110032A03Rik 9 50.9 RIKEN cDNA 1110032A03 gene 1417211_a_at H4035E05 4 1.66015788 4 1.7 2.82772795 2.94266E-05 0.000527 NA 9 48.5 --- 1456111_at 3.43701477 1.85785922 4 2 2.8237185 9.97969E-08 3.48E-06 Scn4b 9 45.3 Sodium channel, type IV, beta 1434008_at AI844796 3.79536664 1.63774235 3.3 2.3 2.75319499 1.48057E-08 6.21E-07 polypeptide Gadd45gip1 8 84.1 RIKEN cDNA 2310040G17 gene 1417619_at 4 3.38875643 1.4 2 2.69163229 8.84279E-06 0.0001904 BC056474 15 12.1 Mus musculus cDNA clone 1424117_at H3030A06 3.95752801 2.42838452 1.9 2.2 2.62132809 1.3344E-08 5.66E-07 MGC:67360 IMAGE:6823629, complete cds NA 4 153 guanine nucleotide binding protein, 1454696_at -3.46081884 -4 -1.3 -1.6 -2.6026947 8.58458E-05 0.0012617 beta 1 Gnb1 4 153 guanine nucleotide binding protein, 1417432_a_at H3094D02 -3.13334396 -4 -1.6 -1.7 -2.5946297 1.04542E-05 0.0002202 beta 1 Gadd45gip1 8 84.1 RAD23a homolog (S. -
Seq2pathway Vignette
seq2pathway Vignette Bin Wang, Xinan Holly Yang, Arjun Kinstlick May 19, 2021 Contents 1 Abstract 1 2 Package Installation 2 3 runseq2pathway 2 4 Two main functions 3 4.1 seq2gene . .3 4.1.1 seq2gene flowchart . .3 4.1.2 runseq2gene inputs/parameters . .5 4.1.3 runseq2gene outputs . .8 4.2 gene2pathway . 10 4.2.1 gene2pathway flowchart . 11 4.2.2 gene2pathway test inputs/parameters . 11 4.2.3 gene2pathway test outputs . 12 5 Examples 13 5.1 ChIP-seq data analysis . 13 5.1.1 Map ChIP-seq enriched peaks to genes using runseq2gene .................... 13 5.1.2 Discover enriched GO terms using gene2pathway_test with gene scores . 15 5.1.3 Discover enriched GO terms using Fisher's Exact test without gene scores . 17 5.1.4 Add description for genes . 20 5.2 RNA-seq data analysis . 20 6 R environment session 23 1 Abstract Seq2pathway is a novel computational tool to analyze functional gene-sets (including signaling pathways) using variable next-generation sequencing data[1]. Integral to this tool are the \seq2gene" and \gene2pathway" components in series that infer a quantitative pathway-level profile for each sample. The seq2gene function assigns phenotype-associated significance of genomic regions to gene-level scores, where the significance could be p-values of SNPs or point mutations, protein-binding affinity, or transcriptional expression level. The seq2gene function has the feasibility to assign non-exon regions to a range of neighboring genes besides the nearest one, thus facilitating the study of functional non-coding elements[2]. Then the gene2pathway summarizes gene-level measurements to pathway-level scores, comparing the quantity of significance for gene members within a pathway with those outside a pathway. -
Genetic Basis of Simple and Complex Traits with Relevance to Avian Evolution
Genetic basis of simple and complex traits with relevance to avian evolution Małgorzata Anna Gazda Doctoral Program in Biodiversity, Genetics and Evolution D Faculdade de Ciências da Universidade do Porto 2019 Supervisor Miguel Jorge Pinto Carneiro, Auxiliary Researcher, CIBIO/InBIO, Laboratório Associado, Universidade do Porto Co-supervisor Ricardo Lopes, CIBIO/InBIO Leif Andersson, Uppsala University FCUP Genetic basis of avian traits Nota Previa Na elaboração desta tese, e nos termos do número 2 do Artigo 4º do Regulamento Geral dos Terceiros Ciclos de Estudos da Universidade do Porto e do Artigo 31º do D.L.74/2006, de 24 de Março, com a nova redação introduzida pelo D.L. 230/2009, de 14 de Setembro, foi efetuado o aproveitamento total de um conjunto coerente de trabalhos de investigação já publicados ou submetidos para publicação em revistas internacionais indexadas e com arbitragem científica, os quais integram alguns dos capítulos da presente tese. Tendo em conta que os referidos trabalhos foram realizados com a colaboração de outros autores, o candidato esclarece que, em todos eles, participou ativamente na sua conceção, na obtenção, análise e discussão de resultados, bem como na elaboração da sua forma publicada. Este trabalho foi apoiado pela Fundação para a Ciência e Tecnologia (FCT) através da atribuição de uma bolsa de doutoramento (PD/BD/114042/2015) no âmbito do programa doutoral em Biodiversidade, Genética e Evolução (BIODIV). 2 FCUP Genetic basis of avian traits Acknowledgements Firstly, I would like to thank to my all supervisors Miguel Carneiro, Ricardo Lopes and Leif Andersson, for the demanding task of supervising myself last four years. -
Human Chromosome‐Specific Aneuploidy Is Influenced by DNA
Article Human chromosome-specific aneuploidy is influenced by DNA-dependent centromeric features Marie Dumont1,†, Riccardo Gamba1,†, Pierre Gestraud1,2,3, Sjoerd Klaasen4, Joseph T Worrall5, Sippe G De Vries6, Vincent Boudreau7, Catalina Salinas-Luypaert1, Paul S Maddox7, Susanne MA Lens6, Geert JPL Kops4 , Sarah E McClelland5, Karen H Miga8 & Daniele Fachinetti1,* Abstract Introduction Intrinsic genomic features of individual chromosomes can contri- Defects during cell division can lead to loss or gain of chromosomes bute to chromosome-specific aneuploidy. Centromeres are key in the daughter cells, a phenomenon called aneuploidy. This alters elements for the maintenance of chromosome segregation fidelity gene copy number and cell homeostasis, leading to genomic instabil- via a specialized chromatin marked by CENP-A wrapped by repeti- ity and pathological conditions including genetic diseases and various tive DNA. These long stretches of repetitive DNA vary in length types of cancers (Gordon et al, 2012; Santaguida & Amon, 2015). among human chromosomes. Using CENP-A genetic inactivation in While it is known that selection is a key process in maintaining aneu- human cells, we directly interrogate if differences in the centro- ploidy in cancer, a preceding mis-segregation event is required. It was mere length reflect the heterogeneity of centromeric DNA-depen- shown that chromosome-specific aneuploidy occurs under conditions dent features and whether this, in turn, affects the genesis of that compromise genome stability, such as treatments with micro- chromosome-specific aneuploidy. Using three distinct approaches, tubule poisons (Caria et al, 1996; Worrall et al, 2018), heterochro- we show that mis-segregation rates vary among different chromo- matin hypomethylation (Fauth & Scherthan, 1998), or following somes under conditions that compromise centromere function. -
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 Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Upregulation of Cyclin T1/CDK9 Complexes During T Cell Activation
Oncogene (1998) 17, 3093 ± 3102 ã 1998 Stockton Press All rights reserved 0950 ± 9232/98 $12.00 http://www.stockton-press.co.uk/onc Upregulation of cyclin T1/CDK9 complexes during T cell activation Judit Garriga1,2, Junmin Peng4, Matilde ParrenÄ o1,2, David H Price4, Earl E Henderson1,3 and Xavier GranÄ a*,1,2 1Fels Institute for Cancer Research and Molecular Biology, Temple University School of Medicine, 3307 North Broad Street, Philadelphia, Pennsylvania 19140, USA; 2Department of Biochemistry, Temple University School of Medicine, 3307 North Broad Street, Philadelphia, Pennsylvania 19140, USA; 3Microbiology and Immunology, Temple University School of Medicine, 3420 North Broad Street, Philadelphia, Pennsylvania 19140, USA and 4Department of Biochemistry, University of Iowa, Iowa City, Iowa 52242, USA Cyclin T1 has been identi®ed recently as a regulatory date in response to intracellular or extracellular signals subunit of CDK9 and as a component of the transcrip- in mammalian cells, although it has been shown that tion elongation factor P-TEFb. Cyclin T1/CDK9 com- the levels of cyclin C mRNA are stimulated by serum plexes phosphorylate the carboxy terminal domain and cytokines (Lew et al., 1991; Liu et al., 1998). All (CTD) of RNA polymerase II (RNAP II) in vitro. Here cyclin/CDK pairs involved in transcription are able to we report that the levels of cyclin T1 are dramatically phosphorylate the C-terminal domain (CTD) of RNA upregulated by two independent signaling pathways polymerase II (RNAP II) in vitro. Multiple kinases triggered respectively by PMA and PHA in primary seem to phosphorylate the CTD of RNAP II in vivo in human peripheral blood lymphocytes (PBLs).