PML Protein Isoforms and the RBCC/TRIM Motif
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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. -
Partial Deletion of Chromosome 6P Causing Developmental Delay and Mild Dysmorphisms in a Child
Vrachnis et al. Mol Cytogenet (2021) 14:39 https://doi.org/10.1186/s13039-021-00557-y CASE REPORT Open Access Partial deletion of chromosome 6p causing developmental delay and mild dysmorphisms in a child: molecular and developmental investigation and literature search Nikolaos Vrachnis1,2,3* , Ioannis Papoulidis4, Dionysios Vrachnis5, Elisavet Siomou4, Nikolaos Antonakopoulos1,2, Stavroula Oikonomou6, Dimitrios Zygouris2, Nikolaos Loukas7, Zoi Iliodromiti8, Efterpi Pavlidou9, Loretta Thomaidis6 and Emmanouil Manolakos4 Abstract Background: The interstitial 6p22.3 deletions concern rare chromosomal events afecting numerous aspects of both physical and mental development. The syndrome is characterized by partial deletion of chromosome 6, which may arise in a number of ways. Case presentation: We report a 2.8-year old boy presenting with developmental delay and mild dysmorphisms. High-resolution oligonucleotide microarray analysis revealed with high precision a 2.5 Mb interstitial 6p deletion in the 6p22.3 region which encompasses 13 genes. Conclusions: Identifcation and in-depth analysis of cases presenting with mild features of the syndrome will sharpen our understanding of the genetic spectrum of the 6p22.3 deletion. Keywords: 6p22.3 deletion, Syndrome, Developmental delay, Intellectual disability, Dysmorphism, Behavioral abnormalities, High-resolution microarray analysis Background dysmorphic features, and structural organ defects, as well Te interstitial deletion of chromosomal region 6p22.3 as intellectual disability. is a rare condition with variable phenotypic expression. We report herein a case of interstitial deletion of chro- To date, more than 30 children and adolescents with this mosome 6p investigated by array-CGH in a 2.8-year old deletion have been reported [1–11]. -
Epigenome-Wide Exploratory Study of Monozygotic Twins Suggests Differentially Methylated Regions to Associate with Hand Grip Strength
Biogerontology (2019) 20:627–647 https://doi.org/10.1007/s10522-019-09818-1 (0123456789().,-volV)( 0123456789().,-volV) RESEARCH ARTICLE Epigenome-wide exploratory study of monozygotic twins suggests differentially methylated regions to associate with hand grip strength Mette Soerensen . Weilong Li . Birgit Debrabant . Marianne Nygaard . Jonas Mengel-From . Morten Frost . Kaare Christensen . Lene Christiansen . Qihua Tan Received: 15 April 2019 / Accepted: 24 June 2019 / Published online: 28 June 2019 Ó The Author(s) 2019 Abstract Hand grip strength is a measure of mus- significant CpG sites or pathways were found, how- cular strength and is used to study age-related loss of ever two of the suggestive top CpG sites were mapped physical capacity. In order to explore the biological to the COL6A1 and CACNA1B genes, known to be mechanisms that influence hand grip strength varia- related to muscular dysfunction. By investigating tion, an epigenome-wide association study (EWAS) of genomic regions using the comb-p algorithm, several hand grip strength in 672 middle-aged and elderly differentially methylated regions in regulatory monozygotic twins (age 55–90 years) was performed, domains were identified as significantly associated to using both individual and twin pair level analyses, the hand grip strength, and pathway analyses of these latter controlling the influence of genetic variation. regions revealed significant pathways related to the Moreover, as measurements of hand grip strength immune system, autoimmune disorders, including performed over 8 years were available in the elderly diabetes type 1 and viral myocarditis, as well as twins (age 73–90 at intake), a longitudinal EWAS was negative regulation of cell differentiation. -
Mouse Mid2 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Mid2 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Mid2 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Mid2 gene (NCBI Reference Sequence: NM_011845 ; Ensembl: ENSMUSG00000000266 ) is located on Mouse chromosome X. 9 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 9 (Transcript: ENSMUST00000112993). Exon 5 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Mid2 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-340F6 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Exon 5 starts from about 49.34% of the coding region. The knockout of Exon 5 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 11103 bp, and the size of intron 5 for 3'-loxP site insertion: 1122 bp. The size of effective cKO region: ~628 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 5 6 9 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Mid2 Homology arm cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Agonist and Antagonist of Retinoic Acid Receptors Cause Similar Changes in Gene Expression and Induce Senescence-Like Growth Arrest in MCF-7 Breast Carcinoma Cells
Research Article Agonist and Antagonist of Retinoic Acid Receptors Cause Similar Changes in Gene Expression and Induce Senescence-like Growth Arrest in MCF-7 Breast Carcinoma Cells Yuhong Chen,1 Milos Dokmanovic,1 Wilfred D. Stein,1,2 Robert J. Ardecky,3 and Igor B. Roninson1 1Cancer Center, Ordway Research Institute, Albany, New York; 2Institute of Life Sciences, Hebrew University, Jerusalem, Israel; and 3Ligand Pharmaceuticals, Inc., San Diego, California Abstract retinoids is most often attributed to the induction of differentia- Biological effects of retinoids are mediated via retinoic acid tion, but these compounds were also shown to stop the growth of (RA) receptors (RAR) and retinoid X receptors (RXR). The tumor cells by inducing apoptosis or accelerated senescence (1, 2). best-characterized mechanism of retinoid action is stimula- In particular, treatment of two human breast carcinoma cell lines tion of transcription from promoters containing RA response with all-trans retinoic acid (RA) or fenretinide, in vitro or in vivo, elements (RARE). Retinoids induce senescence-like growth induces a senescence-like phenotype characterized by increased h arrest in MCF-7 breast carcinoma cells; this effect is cell size and expression of senescence-associated -galactosidase h associated with the induction of several growth-inhibitory (SA- -gal; refs. 3, 4). This phenotype, as investigated in MCF-7 cells, genes. We have nowfound that these genes are induced by is associated with irreversible growth arrest and up-regulation of RAR-specific but not by RXR-specific ligands. Genome-scale several intracellular and secreted proteins with known growth- microarray analysis of gene expression was used to compare inhibitory activities. -
Mai Muudatuntuu Ti on Man Mini
MAIMUUDATUNTUU US009809854B2 TI ON MAN MINI (12 ) United States Patent ( 10 ) Patent No. : US 9 ,809 ,854 B2 Crow et al. (45 ) Date of Patent : Nov . 7 , 2017 Whitehead et al. (2005 ) Variation in tissue - specific gene expression ( 54 ) BIOMARKERS FOR DISEASE ACTIVITY among natural populations. Genome Biology, 6 :R13 . * AND CLINICAL MANIFESTATIONS Villanueva et al. ( 2011 ) Netting Neutrophils Induce Endothelial SYSTEMIC LUPUS ERYTHEMATOSUS Damage , Infiltrate Tissues, and Expose Immunostimulatory Mol ecules in Systemic Lupus Erythematosus . The Journal of Immunol @(71 ) Applicant: NEW YORK SOCIETY FOR THE ogy , 187 : 538 - 552 . * RUPTURED AND CRIPPLED Bijl et al. (2001 ) Fas expression on peripheral blood lymphocytes in MAINTAINING THE HOSPITAL , systemic lupus erythematosus ( SLE ) : relation to lymphocyte acti vation and disease activity . Lupus, 10 :866 - 872 . * New York , NY (US ) Crow et al . (2003 ) Microarray analysis of gene expression in lupus. Arthritis Research and Therapy , 5 :279 - 287 . * @(72 ) Inventors : Mary K . Crow , New York , NY (US ) ; Baechler et al . ( 2003 ) Interferon - inducible gene expression signa Mikhail Olferiev , Mount Kisco , NY ture in peripheral blood cells of patients with severe lupus . PNAS , (US ) 100 ( 5 ) : 2610 - 2615. * GeneCards database entry for IFIT3 ( obtained from < http : / /www . ( 73 ) Assignee : NEW YORK SOCIETY FOR THE genecards. org /cgi - bin / carddisp .pl ? gene = IFIT3 > on May 26 , 2016 , RUPTURED AND CRIPPLED 15 pages ) . * Navarra et al. (2011 ) Efficacy and safety of belimumab in patients MAINTAINING THE HOSPITAL with active systemic lupus erythematosus : a randomised , placebo FOR SPECIAL SURGERY , New controlled , phase 3 trial . The Lancet , 377 :721 - 731. * York , NY (US ) Abramson et al . ( 1983 ) Arthritis Rheum . -
Rna-Sequencing Applications: Gene Expression Quantification and Methylator Phenotype Identification
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2013 RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION Guoshuai Cai Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Computational Biology Commons, and the Medicine and Health Sciences Commons Recommended Citation Cai, Guoshuai, "RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION" (2013). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 386. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/386 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. RNA-SEQUENCING APPLICATIONS: GENE EXPRESSION QUANTIFICATION AND METHYLATOR PHENOTYPE IDENTIFICATION -
E-Mutpath: Computational Modelling Reveals the Functional Landscape of Genetic Mutations Rewiring Interactome Networks
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.22.262386; this version posted August 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. e-MutPath: Computational modelling reveals the functional landscape of genetic mutations rewiring interactome networks Yongsheng Li1, Daniel J. McGrail1, Brandon Burgman2,3, S. Stephen Yi2,3,4,5 and Nidhi Sahni1,6,7,8,* 1Department oF Systems Biology, The University oF Texas MD Anderson Cancer Center, Houston, TX 77030, USA 2Department oF Oncology, Livestrong Cancer Institutes, Dell Medical School, The University oF Texas at Austin, Austin, TX 78712, USA 3Institute For Cellular and Molecular Biology (ICMB), The University oF Texas at Austin, Austin, TX 78712, USA 4Institute For Computational Engineering and Sciences (ICES), The University oF Texas at Austin, Austin, TX 78712, USA 5Department oF Biomedical Engineering, Cockrell School of Engineering, The University oF Texas at Austin, Austin, TX 78712, USA 6Department oF Epigenetics and Molecular Carcinogenesis, The University oF Texas MD Anderson Science Park, Smithville, TX 78957, USA 7Department oF BioinFormatics and Computational Biology, The University oF Texas MD Anderson Cancer Center, Houston, TX 77030, USA 8Program in Quantitative and Computational Biosciences (QCB), Baylor College oF Medicine, Houston, TX 77030, USA *To whom correspondence should be addressed. Nidhi Sahni. Tel: +1 512 2379506; Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.08.22.262386; this version posted August 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Evolution of Dnaase I Hypersensitive Sites in MHC Regulatory Regions of Primates
HIGHLIGHTED ARTICLE | GENOMIC SELECTION Evolution of DNAase I Hypersensitive Sites in MHC Regulatory Regions of Primates Yabin Jin,*,†,1 Rachel M. Gittelman,‡,1 Yueer Lu,* Xiaohui Liu,§ Ming D. Li,** Fei Ling,*,2 and Joshua M. Akey ‡,2 *School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, P. R. China, †Clinical Research Institute, The First People’s Hospital of FoShan (Affiliated FoShan Hospital of Sun Yat-sen University), 528000, China, ‡Department of Genome Sciences, University of Washington, Seattle, Washington 98125, §Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100094, P. R. China, and **State Key Laboratory of Diagnosis and Treatment of Infectious Diseases, First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou 310009, P. R. China ORCID ID: 0000-0002-3640-4280 (F.L.) ABSTRACT It has been challenging to determine the disease-causing variant(s) for most major histocompatibility complex (MHC)- associated diseases. However, it is becoming increasingly clear that regulatory variation is pervasive and a fundamentally important mechanism governing phenotypic diversity and disease susceptibility. We gathered DNase I data from 136 human cells to characterize the regulatory landscape of the MHC region, including 4867 DNase I hypersensitive sites (DHSs). We identified thousands of regulatory elements that have been gained or lost in the human or chimpanzee genomes since their evolutionary divergence. We compared alignments of the DHS across six primates and found 149 DHSs with convincing evidence of positive and/or purifying selection. Of these DHSs, compared to neutral sequences, 24 evolved rapidly in the human lineage. We identified 15 instances of transcription- factor-binding motif gains, such as USF, MYC, MAX, MAFK, STAT1, PBX3, etc., and observed 16 GWAS (genome-wide association study) SNPs associated with diseases within these 24 DHSs using FIMO (Find Individual Motif Occurrences) and UCSC (University of California, Santa Cruz) ChIP-seq data. -
TRIM Proteins and CXC Chemokines Evolutionary Dynamics and Functional Characterization
TRIM proteins and CXC chemokines Evolutionary dynamics and functional characterization of two large protein families in teleost fish Lieke M. van der Aa TRIM proteins and CXC chemokines Evolutionary dynamics and functional characterization of two large protein families in teleost fish Lieke M. van der Aa Thesis committee Thesis supervisor Prof. dr. ir. H.F.J. Savelkoul Professor of Cell Biology and Immunology Wageningen University, the Netherlands Thesis co-supervisors Dr. B.M.L. van Kemenade Assistant professor, Cell Biology and Immunology group Wageningen University, the Netherlands Dr. P. Boudinot Directeur de Recherches, Virologie et Immunologie Moléculaires Institut National de la Recherche Agronomique, Jouy-en-Josas, France Other members Prof. Dr. Just Vlak Wageningen University, the Netherlands Prof Dr. Chris J. Secombes University of Aberdeen, Scotland Dr. Annemarie H. Meijer Leiden University, the Netherlands Dr. Sebastian Nisole Pasteur Institute, Paris, France This research was conducted under the auspices of the Graduate School of the Wageningen Institute of Animal Sciences, WIAS TRIM proteins and CXC chemokines Evolutionary dynamics and functional characterization of two large protein families in teleost fish Lieke M. van der Aa Thesis at Wageningen University submitted in fulfillment of the requirements for the degree of doctor Prof. Dr. M.J. Kropff, by the authorityin the presence of the Rector of the Magnificus Thesis Committee appointed by the Academic Board to be defended in public on Friday 20 January 2012 at 4 p.m. -
Genome Folding in Evolution and Disease
Johannes Gutenberg University Mainz Faculty of Biology Institute of Organismic and Molecular Evolution Computational Biology and Data Mining Group Dissertation Genome folding in evolution and disease Jonas Ibn-Salem February, 2018 Jonas Ibn-Salem Genome folding in evolution and disease Dissertation, February, 2018 Johannes Gutenberg University Mainz Computational Biology and Data Mining Group Institute of Organismic and Molecular Evolution Faculty of Biology Ackermannweg 4 55128 and Mainz Contents Abstract 7 1 Introduction 9 1.1 Regulation of gene expression ...................... 9 1.2 Distal regulation by enhancers ...................... 10 1.3 Methods to probe the 3D chromatin architecture . 11 1.3.1 Microscopy-based techniques to visualize the genome in 3D . 11 1.3.2 Proximity-ligation based method to quantify chromatin inter- actions ............................... 11 1.4 Hierarchy of chromatin 3D structure . 13 1.4.1 Chromosomal territories and inter-chromosomal contacts . 13 1.4.2 A/B compartments ........................ 15 1.4.3 Topologically associating domains (TADs) . 15 1.4.4 Hierarchy of domain structures across genomic length scales . 17 1.4.5 Chromatin looping interactions . 17 1.4.6 TAD and loop formation by architectural proteins . 18 1.5 Dynamics of chromatin structure .................... 20 1.5.1 Dynamics across the cell cycle . 20 1.5.2 Dynamics across cell types and differntiation . 20 1.6 Evolution of chromatin organization . 21 1.7 Disruption of chromatin architecture in disease . 23 1.8 Aims of this thesis ............................ 24 1.9 Structure of this thesis .......................... 27 2 Paralog genes in the 3D genome architecture 29 Preamble ................................. 29 Abstract .................................. 29 2.1 Introduction ................................ 30 2.2 Materials and methods ......................... -
Supplemental Solier
Supplementary Figure 1. Importance of Exon numbers for transcript downregulation by CPT Numbers of down-regulated genes for four groups of comparable size genes, differing only by the number of exons. Supplementary Figure 2. CPT up-regulates the p53 signaling pathway genes A, List of the GO categories for the up-regulated genes in CPT-treated HCT116 cells (p<0.05). In bold: GO category also present for the genes that are up-regulated in CPT- treated MCF7 cells. B, List of the up-regulated genes in both CPT-treated HCT116 cells and CPT-treated MCF7 cells (CPT 4 h). C, RT-PCR showing the effect of CPT on JUN and H2AFJ transcripts. Control cells were exposed to DMSO. β2 microglobulin (β2) mRNA was used as control. Supplementary Figure 3. Down-regulation of RNA degradation-related genes after CPT treatment A, “RNA degradation” pathway from KEGG. The genes with “red stars” were down- regulated genes after CPT treatment. B, Affy Exon array data for the “CNOT” genes. The log2 difference for the “CNOT” genes expression depending on CPT treatment was normalized to the untreated controls. C, RT-PCR showing the effect of CPT on “CNOT” genes down-regulation. HCT116 cells were treated with CPT (10 µM, 20 h) and CNOT6L, CNOT2, CNOT4 and CNOT6 mRNA were analysed by RT-PCR. Control cells were exposed to DMSO. β2 microglobulin (β2) mRNA was used as control. D, CNOT6L down-regulation after CPT treatment. CNOT6L transcript was analysed by Q- PCR. Supplementary Figure 4. Down-regulation of ubiquitin-related genes after CPT treatment A, “Ubiquitin-mediated proteolysis” pathway from KEGG.