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ATP-Induced Focal Adhesion Kinase Activity Is Negatively Modulated by Phospholipase D2 in PC12 Cells
EXPERIMENTAL and MOLECULAR MEDICINE, Vol. 33, No. 3, 150-155, September 2001 ATP-induced focal adhesion kinase activity is negatively modulated by phospholipase D2 in PC12 cells Yoe-Sik Bae1 and Sung Ho Ryu1,2 Introduction 1 Division of Molecular and Life Sciences, Pohang University of Purinergic receptors have been reported to play impor- Science and Technology, Pohang 790-784, Korea tant roles on the regulation of neuronal cell functions 2 Corresponding author: Tel, +82-54-279-2292; (Communi et al., 2000; Di Iorio et al., 1998). ATP, a Fax, +82-54-279-2199; E-mail, [email protected] ligand for the receptors modulate various cellular re- sponses such as mitogenic and morphogenic activity in Accepted 18 September 2001 PC12 rat pheochromocytoma cells (Neary et al., 1996; Soltoff et al., 1998; Schindelholz et al., 2000). Stimu- Abbreviations: Fak, focal adhesion kinase; PLD, phospholipase D; lation of cells with ATP induces tyrosine phosphorylation PA, phosphatidic acid; PC, phosphatidylcholine; DAG, diacylglyc- of several cytoskeletal proteins and focal adhesion erol; PBt, phosphatidylbutanol; PKC, protein kinase C; PAP, phos- molecules such as focal adhesion kinase (Fak), proline- phatidic acid phosphohydrolase rich tyrosine kinase (Pyk2), and paxillin (Soltoff et al., 1998; Schindelholz et al., 2000). Since these cytosk- eleton-associated proteins have been regarded as important factors for the regulation of neuronal cell Abstract functions, the study on the regulatory mechanism for the proteins remains an important issue. Extracellular ATP has been known to modulate vari- Phospholipase D (PLD) catalyzes the hydrolysis of ous cellular responses including mitogenesis, secre- phosphatidylcholine (PC) into phosphatidic acid (PA) tion and morphogenic activity in neuronal cells. -
Datasheet for Protein Phosphatase 1 (PP1) (P0754; Lot 0121306)
Supplied in: 200 mM NaCl, 50 mM HEPES Unit Definition: One unit is defined as Notes On Use: Avoid freeze/thaw cycles. Can be Protein the amount of enzyme that hydrolyzes 1 nmol of stored for 1 week or less at –20°C. (pH 7.0 @ 25°C), 1 mM MnCl2, 0.1 mM EGTA, Phosphatase 1 2.5 mM dithiothreitol, 0.025% Tween-20 and p-Nitrophenyl Phosphate (50 mM) (NEB #P0757) 50% glycerol. Store at –70°C in 1 minute at 30°C in a total reaction volume of The following information can be used as (PP1) 50 µl. suggested initial conditions for dephosphorylation 1-800-632-7799 Applications: PP1 can be used to release of proteins with PP1. [email protected] phosphate groups from phosphorylated serine, Specific Activity: ~ 80,000 units/mg. www.neb.com 0.1 unit of PP1 removes ~100% of phosphates P0754S 012130614061 threonine and tyrosine residues in proteins. Note that different proteins are dephosphorylated at Molecular Weight: 37.5 kDa. (0.5 nmol) from phosphoserine/threonine different rates. residues in phosphorylase a as well as in P0754S r y Purity: PP1 has been purified to > 90% phosphorylated myelin basic protein (phospho- 100 units 2,500 U/ml Lot: 0121306 Reagents Supplied with Enzyme: homogeneity as determined by SDS-PAGE and MyBP, 18.5 kDa) in 30 minutes in a 50 µl reaction. RECOMBINANT Store at –70°C Exp: 6/14 10X NEBuffer for Protein MetalloPhosphatases Coomassie Blue staining. The concentration of phospho-MyBP is 10 µM (PMP) with respect to phosphate. Description: Protein Phosphatase 1 (PP1) is a 10X MnCl2 (10 mM) Quality Assurance: PP1 contains no detectable Mn2+-dependent protein phosphatase with activity protease activity. -
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. -
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. -
Characterization of Nudix Hydrolases: a Utilitarian
CHARACTERIZATION OF NUDIX HYDROLASES: A UTILITARIAN SUPERFAMILY OF ENZYMES By Andres Hernandez de la Peña A dissertation submitted to the Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland August, 2015 Abstract The present work details the structural and enzymatic characterization of Nudix hydrolases from three different organisms – Bdellovibrio bacteriovorus, Mycobacterium tuberculosis, and Tetrahymena thermophila. Each of these Nudix enzymes presents unique questions about their physiological function within their organism which are answered with a combination of structural biology, genetic manipulation, enzyme kinetics, and a wide range of protein assays. We demonstrate that RenU, from M. tuberculosis, is part of Redox Homeostasis Control System (RHOCS), which senses and regulates NADH concentrations. This control systems involves two other proteins, the serine/threonine protein kinase G (pknG) and the L13 ribosomal subunits, without which the bacterium fails to evade lysosomal delivery and falls prey to the oxidative arsenal of the macrophage host. Bd-NDPSase, a Nudix enzyme encoded by the B. bacteriovorus gene BD3179, localizes to the periplasmic space of the bacterium and hydrolyses at least four nucleoside diphosphate sugars in vitro. Through atomic-resolution models from X-ray diffraction, we identified a motif that differentiates this hydrolase from the similar, but more substrate specific, ADP- ribose hydrolase from E. coli. Lastly, we show that Nud1p from T. thermophila is a member of the Ezl1p complex, the histone methyltransferase Polycomb Group homologue of this protozoan. With the use of in vitro enzymatic assays we show, in addition, that Nu1dp hydrolyses CoA preferentially over acetyl-CoA and other nucleoside derivatives. -
Essential Genes and Their Role in Autism Spectrum Disorder
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Essential Genes And Their Role In Autism Spectrum Disorder Xiao Ji University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, and the Genetics Commons Recommended Citation Ji, Xiao, "Essential Genes And Their Role In Autism Spectrum Disorder" (2017). Publicly Accessible Penn Dissertations. 2369. https://repository.upenn.edu/edissertations/2369 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2369 For more information, please contact [email protected]. Essential Genes And Their Role In Autism Spectrum Disorder Abstract Essential genes (EGs) play central roles in fundamental cellular processes and are required for the survival of an organism. EGs are enriched for human disease genes and are under strong purifying selection. This intolerance to deleterious mutations, commonly observed haploinsufficiency and the importance of EGs in pre- and postnatal development suggests a possible cumulative effect of deleterious variants in EGs on complex neurodevelopmental disorders. Autism spectrum disorder (ASD) is a heterogeneous, highly heritable neurodevelopmental syndrome characterized by impaired social interaction, communication and repetitive behavior. More and more genetic evidence points to a polygenic model of ASD and it is estimated that hundreds of genes contribute to ASD. The central question addressed in this dissertation is whether genes with a strong effect on survival and fitness (i.e. EGs) play a specific oler in ASD risk. I compiled a comprehensive catalog of 3,915 mammalian EGs by combining human orthologs of lethal genes in knockout mice and genes responsible for cell-based essentiality. -
Effects of Diabetes and Hoxa3 Upon Macrophage Function
EFFECTS OF DIABETES AND HOXA3 UPON MACROPHAGE FUNCTION A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy Developmental Biology in the Faculty Life Sciences 2015 MATTHEW BURGESS FACULTY OF LIFE SCIENCES List of contents List of contents .............................................................................................................................. 2 List of figures ................................................................................................................................. 7 List of tables .................................................................................................................................. 9 Declaration .................................................................................................................................. 12 Copyright statement ................................................................................................................... 12 Acknowledgement ...................................................................................................................... 13 The author ................................................................................................................................... 14 1 Introduction ........................................................................................................................ 15 1.1 Cutaneous wound healing .......................................................................................... 15 1.1.1 Inflammatory phase .......................................................................................... -
Chromosomal Rearrangements Are Commonly Post-Transcriptionally Attenuated in Cancer
bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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 4.0 International license. Chromosomal rearrangements are commonly post-transcriptionally attenuated in cancer 1 3 1 3, 4, 5 Emanuel Gonçalves , Athanassios Fragoulis , Luz Garcia-Alonso , Thorsten Cramer , 1,2# 1# Julio Saez-Rodriguez , Pedro Beltrao 1 European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Cambridge CB10 1SD, UK 2 RWTH Aachen University, Faculty of Medicine, Joint Research Centre for Computational Biomedicine, Aachen 52057, Germany 3 Molecular Tumor Biology, Department of General, Visceral and Transplantation Surgery, RWTH University Hospital, Pauwelsstraße 30, 52074 Aachen, Germany 4 NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands 5 ESCAM – European Surgery Center Aachen Maastricht, Germany and The Netherlands # co-last authors: [email protected]; [email protected] Running title: Chromosomal rearrangement attenuation in cancer Keywords: Cancer; Gene dosage; Proteomics; Copy-number variation; Protein complexes 1 bioRxiv preprint doi: https://doi.org/10.1101/093369; this version posted February 1, 2017. 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 4.0 International license. Abstract Chromosomal rearrangements, despite being detrimental, are ubiquitous in cancer and often act as driver events. -
Análise Integrativa De Perfis Transcricionais De Pacientes Com
UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. -
CDH12 Cadherin 12, Type 2 N-Cadherin 2 RPL5 Ribosomal
5 6 6 5 . 4 2 1 1 1 2 4 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 2 2 A A A A A A A A A A A A A A A A A A A A C C C C C C C C C C C C C C C C C C C C R R R R R R R R R R R R R R R R R R R R B , B B B B B B B B B B B B B B B B B B B , 9 , , , , 4 , , 3 0 , , , , , , , , 6 2 , , 5 , 0 8 6 4 , 7 5 7 0 2 8 9 1 3 3 3 1 1 7 5 0 4 1 4 0 7 1 0 2 0 6 7 8 0 2 5 7 8 0 3 8 5 4 9 0 1 0 8 8 3 5 6 7 4 7 9 5 2 1 1 8 2 2 1 7 9 6 2 1 7 1 1 0 4 5 3 5 8 9 1 0 0 4 2 5 0 8 1 4 1 6 9 0 0 6 3 6 9 1 0 9 0 3 8 1 3 5 6 3 6 0 4 2 6 1 0 1 2 1 9 9 7 9 5 7 1 5 8 9 8 8 2 1 9 9 1 1 1 9 6 9 8 9 7 8 4 5 8 8 6 4 8 1 1 2 8 6 2 7 9 8 3 5 4 3 2 1 7 9 5 3 1 3 2 1 2 9 5 1 1 1 1 1 1 5 9 5 3 2 6 3 4 1 3 1 1 4 1 4 1 7 1 3 4 3 2 7 6 4 2 7 2 1 2 1 5 1 6 3 5 6 1 3 6 4 7 1 6 5 1 1 4 1 6 1 7 6 4 7 e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e e l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l l p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p p m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m m -
Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002) -
Original Article Dynamics of Lamins B and A/C and Nucleoporin Nup160 During Meiotic Maturation in Mouse Oocytes
Original Article Dynamics of Lamins B and A/C and Nucleoporin Nup160 during Meiotic Maturation in Mouse Oocytes (oocytes / meiosis / meiotic spindle / nuclear lamina / Nup107-160 / nuclear pore complex) V. NIKOLOVA, S. DELIMITREVA, I. CHAKAROVA, R. ZHIVKOVA, V. HADZHINESHEVA, M. MARKOVA Department of Biology, Medical Faculty, Medical University of Sofia, Bulgaria Abstract. This study was aimed at elucidating the plex reorganization of the cytoskeleton and nuclear en- fate of three important nuclear envelope components velope (Delimitreva et al., 2012). Although the early – lamins B and A/C and nucleoporin Nup160, during meiotic stages have been relatively well studied, the meiotic maturation of mouse oocytes. These proteins events of final steps of oocyte meiosis (from meiotic re- were localized by epifluorescence and confocal mi- sumption in late prophase I until metaphase II) are still croscopy using specific antibodies in oocytes at dif- poorly understood. The oocyte nucleus in late prophase ferent stages from prophase I (germinal vesicle) to I, traditionally called GV (germinal vesicle), becomes metaphase II. In immature germinal vesicle oocytes, competent to resume meiosis upon accumulation of all three proteins were detected at the nuclear pe- pericentriolar heterochromatin called karyosphere, sur- riphery. In metaphase I and metaphase II, lamin B rounded nucleolus or rimmed nucleolus (Can et al., co-localized with the meiotic spindle, lamin A/C was 2003; De la Fuente et al., 2004; Tan et al., 2009). Then, found in a diffuse halo surrounding the spindle and the nucleus disaggregates in the so-called germinal ve- to a lesser degree throughout the cytoplasm, and sicle breakdown (GVBD) stage.