Recessive Mutations in POLR1C Cause a Leukodystrophy by Impairing Biogenesis of RNA Polymerase III
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DEPs in osteosarcoma cells comparing to osteoblastic cells Biological Process Protein Percentage of Hits metabolic process (GO:0008152) 29.3 29.3% cellular process (GO:0009987) 20.2 20.2% localization (GO:0051179) 9.4 9.4% biological regulation (GO:0065007) 8 8.0% developmental process (GO:0032502) 7.8 7.8% response to stimulus (GO:0050896) 5.6 5.6% cellular component organization (GO:0071840) 5.6 5.6% multicellular organismal process (GO:0032501) 4.4 4.4% immune system process (GO:0002376) 4.2 4.2% biological adhesion (GO:0022610) 2.7 2.7% apoptotic process (GO:0006915) 1.6 1.6% reproduction (GO:0000003) 0.8 0.8% locomotion (GO:0040011) 0.4 0.4% cell killing (GO:0001906) 0.1 0.1% 100.1% Genes 2179Hits 3870 biological adhesion apoptotic process … reproduction (GO:0000003) , 0.8% (GO:0022610) , 2.7% locomotion (GO:0040011) ,… immune system process cell killing (GO:0001906) , 0.1% (GO:0002376) , 4.2% multicellular organismal process (GO:0032501) , metabolic process 4.4% (GO:0008152) , 29.3% cellular component organization (GO:0071840) , 5.6% response to stimulus (GO:0050896), 5.6% developmental process (GO:0032502) , 7.8% biological regulation (GO:0065007) , 8.0% cellular process (GO:0009987) , 20.2% localization (GO:0051179) , 9. -
POLR2L Antibody Cat
POLR2L Antibody Cat. No.: XW-7445 POLR2L Antibody Specifications HOST SPECIES: Chicken SPECIES REACTIVITY: Human, Mouse, Rat IMMUNOGEN: 1-67 TESTED APPLICATIONS: WB POLR2L antibody can be used for the detection of POLR2L by Western blot, may also work APPLICATIONS: for IHC and ICC. PREDICTED MOLECULAR 7.6 kDa (calculated) WEIGHT: Properties PURIFICATION: Antigen affinity-purified CLONALITY: Polyclonal CONJUGATE: Unconjugated PHYSICAL STATE: Liquid BUFFER: Phosphate-Buffered Saline. No preservatives added. CONCENTRATION: 1 mg/mL October 1, 2021 1 https://www.prosci-inc.com/polr2l-antibody-7445.html POLR2L antibody can be stored at 4˚C for short term (weeks). Long term storage should STORAGE CONDITIONS: be at -20˚C. As with all antibodies care should be taken to avoid repeated freeze thaw cycles. Antibodies should not be exposed to prolonged high temperatures. Additional Info OFFICIAL SYMBOL: POLR2L DNA-directed RNA polymerases I, II, and III subunit RPABC5, DNA-directed RNA ALTERNATE NAMES: polymerase III subunit L, RNA polymerases I, and III subunit ABC5, RBP10, RPB10, RPABC5, RPB7.6, hRPB7.6, RPB10beta, POLR2L ACCESSION NO.: NP_066951.1 PROTEIN GI NO.: 10863925 GENE ID: 5441 USER NOTE: Optimal dilutions for each application to be determined by the researcher. Background and References DNA directed RNA polymerase II polypeptide L; polymerase (RNA) II (DNA directed) polypeptide L (7.6kD); RNA polymerase II subunit. This protein is a subunit of RNA polymerase II, the polymerase responsible for synthesizing messenger RNA in eukaryotes. BACKGROUND: It contains four conserved cysteines characteristic of an atypical zinc-binding domain. Like its counterpart in yeast, this subunit may be shared by the other two DNA-directed RNA polymerases. -
A Network Propagation Approach to Prioritize Long Tail Genes in Cancer
bioRxiv preprint doi: https://doi.org/10.1101/2021.02.05.429983; this version posted February 8, 2021. 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-NC-ND 4.0 International license. A Network Propagation Approach to Prioritize Long Tail Genes in Cancer Hussein Mohsen1,*, Vignesh Gunasekharan2, Tao Qing2, Sahand Negahban3, Zoltan Szallasi4, Lajos Pusztai2,*, Mark B. Gerstein1,5,6,3,* 1 Computational Biology & Bioinformatics Program, Yale University, New Haven, CT 06511, USA 2 Breast Medical Oncology, Yale School of Medicine, New Haven, CT 06511, USA 3 Department of Statistics & Data Science, Yale University, New Haven, CT 06511, USA 4 Children’s Hospital Informatics Program, Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA 5 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06511, USA 6 Department of Computer Science, Yale University, New Haven, CT 06511, USA * Corresponding author Abstract Introduction. The diversity of genomic alterations in cancer pose challenges to fully understanding the etiologies of the disease. Recent interest in infrequent mutations, in genes that reside in the “long tail” of the mutational distribution, uncovered new genes with significant implication in cancer development. The study of these genes often requires integrative approaches with multiple types of biological data. Network propagation methods have demonstrated high efficacy in uncovering genomic patterns underlying cancer using biological interaction networks. Yet, the majority of these analyses have focused their assessment on detecting known cancer genes or identifying altered subnetworks. -
Protein Interaction Networks and Their Applications to Protein Characterization and Cancer Genes Prediction
Ramón Aragüés Peleato Protein interaction networks and their applications to protein characterization and cancer genes prediction PhD Thesis Barcelona, May 2007 1 The image of the cover shows the happiness protein interaction network (i.e. the protein interaction network for proteins involved in the serotonin pathway) ii Protein Interaction Networks and their Applications to Protein Characterization and Cancer Genes Prediction Ramón Aragüés Peleato Memòria presentada per optar al grau de Doctor en Biologia per la Universitat Pompeu Fabra. Aquesta Tesi Doctoral ha estat realitzada sota la direcció del Dr. Baldo Oliva al Departament de Ciències Experimentals i de la Salut de la Universitat Pompeu Fabra Baldo Oliva Miguel Ramón Aragüés Peleato Barcelona, Maig 2007 The research in this thesis has been carried out at the Structural Bioinformatics Lab (SBI) within the Grup de Recerca en Informàtica Biomèdica at the Parc de Recerca Biomèdica de Barcelona (PRBB). The research carried out in this thesis has been supported by a “Formación de Personal Investigador (FPI)” grant from the Ministerio de Educación y Ciencia awarded to Dr. Baldo Oliva. A mis padres, que me hicieron querer conseguirlo A Natalia, que me ayudó a conseguir hacerlo ii TABLE OF CONTENTS TABLE OF CONTENTS................................................................................................................................... I ACKNOWLEDGEMENTS........................................................................................................................... -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
H4K16 Acetylation Marks Active Genes and Enhancers of Embryonic Stem Cells, but Does Not Alter Chromatin Compaction
Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press H4K16 acetylation marks active genes and enhancers of embryonic stem cells, but does not alter chromatin compaction Gillian Taylor1, Ragnhild Eskeland2, Betül Hekimoglu-Balkan1, Madapura M. Pradeepa1* and Wendy A Bickmore1* 1 MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine at University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK 2Current address: Department of Molecular Biosciences, University of Oslo, N-0316 Oslo, Norway *Correspondence to: W. Bickmore or M.M. Pradeepa, MRC Human Genetics Unit, MRC IGMM, Crewe Road, Edinburgh EH4 2XU, UK Tel: +44 131 332 2471 Fax: +44 131 467 8456 Email:[email protected] or [email protected] Running head: H4K16 acetylation and long-range genome regulation Keywords: Chromatin compaction, embryonic stem cells, fluorescence in situ hybridization, histone acetylation, long-range regulation, 1 Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Compared with histone H3, acetylation of H4 tails has not been well studied, especially in mammalian cells. Yet, H4K16 acetylation is of particular interest because of its ability to decompact nucleosomes in vitro and its involvement in dosage compensation in flies. Here we show that, surprisingly, loss of H4K16 acetylation does not alter higher-order chromatin compaction in vivo in mouse embryonic stem cells (ESCs). As well as peaks of acetylated H4K16 and Kat8/MOF histone acetyltransferase at the transcription start sites of expressed genes, we report that acetylation of H4K16 is a new marker of active enhancers in ESCs and that some enhancers are marked by H3K4me1, Kat8 and H4K16ac but not by acetylated H3K27 or p300/EP300, suggesting that they are novel EP300 independent regulatory elements. -
Exome-Wide Meta-Analysis Identifies Rare 3'-UTR Variant In
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Erasmus University Digital Repository ORIGINAL RESEARCH published: 18 October 2017 doi: 10.3389/fgene.2017.00151 Exome-Wide Meta-Analysis Identifies Rare 3′-UTR Variant in ERCC1/CD3EAP Associated with Symptoms of Sleep Apnea Ashley van der Spek 1, Annemarie I. Luik 2, Desana Kocevska 3, Chunyu Liu 4, 5, 6, Rutger W. W. Brouwer 7, Jeroen G. J. van Rooij 8, 9, 10, Mirjam C. G. N. van den Hout 7, Robert Kraaij 1, 8, 9, Albert Hofman 1, 11, André G. Uitterlinden 1, 8, 9, Wilfred F. J. van IJcken 7, Daniel J. Gottlieb 12, 13, 14, Henning Tiemeier 1, 15, Cornelia M. van Duijn 1 and Najaf Amin 1* 1 Department of Epidemiology, Erasmus Medical Center, Rotterdam, Netherlands, 2 Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom, 3 Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, Netherlands, 4 Framingham Heart Study, National Heart, Lung, and Blood Institute, Framingham, MA, United States, 5 Population Sciences Branch, National Heart, Lung, and Blood Institute, Bethesda, MD, United States, 6 Department of Biostatistics, School of Public Health, Boston University, Boston, MA, United States, 7 Center for Biomics, Erasmus Medical Center, Rotterdam, Netherlands, 8 Department of Internal Medicine, Erasmus Medical Center, Rotterdam, Netherlands, 9 Netherlands Consortium for Healthy Ageing, Rotterdam, Netherlands, 10 Department of Neurology, Erasmus -
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. -
SLFN11 Promotes CDT1 Degradation by CUL4 in Response to Replicative DNA Damage, While Its Absence Leads to Synthetic Lethality with ATR/CHK1 Inhibitors
SLFN11 promotes CDT1 degradation by CUL4 in response to replicative DNA damage, while its absence leads to synthetic lethality with ATR/CHK1 inhibitors Ukhyun Joa,1, Yasuhisa Muraia, Sirisha Chakkab, Lu Chenb, Ken Chengb, Junko Muraic, Liton Kumar Sahaa, Lisa M. Miller Jenkinsd, and Yves Pommiera,1 aDevelopmental Therapeutics Branch, Laboratory of Molecular Pharmacology, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20814; bNational Center for Advancing Translational Sciences, Functional Genomics Laboratory, NIH, Rockville, MD 20850; cInstitute for Advanced Biosciences, Keio University, 997-0052 Yamagata, Japan; and dLaboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, NIH, Bethesda, MD 20892 Edited by Richard D. Kolodner, Ludwig Institute for Cancer Research, La Jolla, CA, and approved December 8, 2020 (received for review July 29, 2020) Schlafen-11 (SLFN11) inactivation in ∼50% of cancer cells confers condensation related to deposition of H3K27me3 in the gene broad chemoresistance. To identify therapeutic targets and under- body of SLFN11 by EZH2, a histone methyltransferase (11). lying molecular mechanisms for overcoming chemoresistance, we Targeting epigenetic regulators is therefore an attractive com- performed an unbiased genome-wide RNAi screen in SLFN11-WT bination strategy to overcome chemoresistance of SLFN11- and -knockout (KO) cells. We found that inactivation of Ataxia deficient cancers (10, 25, 26). An alternative approach is to at- Telangiectasia- and Rad3-related (ATR), CHK1, BRCA2, and RPA1 tack SLFN11-negative cancer cells by targeting the essential SLFN11 overcome chemoresistance to camptothecin (CPT) in -KO pathways that cells use to overcome replicative damage and cells. Accordingly, we validate that clinical inhibitors of ATR replication stress. -
POLR1D Gene RNA Polymerase I and III Subunit D
POLR1D gene RNA polymerase I and III subunit D Normal Function The POLR1D gene provides instructions for making one part (subunit) of two related enzymes called RNA polymerase I and RNA polymerase III. These enzymes are involved in the production (synthesis) of ribonucleic acid (RNA), a chemical cousin of DNA. Both enzymes help synthesize a form of RNA known as ribosomal RNA (rRNA). RNA polymerase III also plays a role in the synthesis of several other forms of RNA, including transfer RNA (tRNA). Ribosomal RNA and transfer RNA assemble protein building blocks (amino acids) into functioning proteins, which is essential for the normal functioning and survival of cells. Based on its involvement in Treacher Collins syndrome, the POLR1D gene appears to play a critical role in the early development of structures that become bones and other tissues of the face. Health Conditions Related to Genetic Changes Treacher Collins syndrome At least 20 mutations in the POLR1D gene have been identified in people with Treacher Collins syndrome, a condition that affects the development of bones and other tissues of the face. These mutations appear to alter the structure and function of the POLR1D protein, which reduces the amount of functional RNA polymerase I and RNA polymerase III in cells. Consequently, less rRNA is produced. Researchers speculate that a shortage of rRNA may trigger the self-destruction (apoptosis) of certain cells involved in the early development of facial bones and tissues. The abnormal cell death could underlie the specific problems with facial development found in Treacher Collins syndrome. However, it is unclear why the effects of a reduction in rRNA are limited to facial development. -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
Supporting Information
Supporting Information Pratilas et al. 10.1073/pnas.0900780106 SI Text HER2) xenografts. In each of these analyses, all noncontrol Determination of Sensitivity to MEK Inhibition. Drug sensitivity probes (n ϭ 22,215) were rank-ordered according to the mag- assays were performed by using a 96-well plate and the Alamar nitude of their difference in expression after MEK inhibition Blue reagent (Invitrogen) as reported (1). The cells were treated compared with DMSO-treated controls, as measured by SAM- with PD0325901 (Pfizer) in a range of concentrations from 0.1 derived d-scores. The positions of the output genes in this signed to 500 nM (Fig. S1). ranking were then scored in a manner similar to that described by the Connectivity Map (2). This empirical and nonparametric Enrichment Analysis Over a Time Course of MEK Inhibition. Af- Kolmogorov-Smirnov-based statistic reflects an enrichment fymetrix U133A 2.0 array analysis of V600EBRAF, SkMel-28 cells, score that ranges from ϩ1toϪ1, where a score of 0 is a lack of at 0, 2, 8, and 24 h after MEK inhibition was completed as enrichment in either direction of expression, or graphically, a described (see Experimental Procedures). Robust multiarray av- random distribution of the output profile genes. Those with erage (RMA) was used to estimate the expression of probe sets. enrichment scores nearer to 1 indicated increasing correlation Each time point from2hto24wascompared with 0 h, and in between the output profile and the rank-ordered gene set from each comparison, we considered only probe sets with an expres- the experimental comparison.