Identification of Novel Cellular Factors Involved in HIV-1 Latency
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The Switch from Fermentation to Respiration in Saccharomyces Cerevisiae Is Regulated by the Ert1 Transcriptional Activator/Repressor
INVESTIGATION The Switch from Fermentation to Respiration in Saccharomyces cerevisiae Is Regulated by the Ert1 Transcriptional Activator/Repressor Najla Gasmi,* Pierre-Etienne Jacques,† Natalia Klimova,† Xiao Guo,§ Alessandra Ricciardi,§ François Robert,†,** and Bernard Turcotte*,‡,§,1 ‡Department of Medicine, *Department of Biochemistry, and §Department of Microbiology and Immunology, McGill University Health Centre, McGill University, Montreal, QC, Canada H3A 1A1, †Institut de recherches cliniques de Montréal, Montréal, QC, Canada H2W 1R7, and **Département de Médecine, Faculté de Médecine, Université de Montréal, QC, Canada H3C 3J7 ABSTRACT In the yeast Saccharomyces cerevisiae, fermentation is the major pathway for energy production, even under aerobic conditions. However, when glucose becomes scarce, ethanol produced during fermentation is used as a carbon source, requiring a shift to respiration. This adaptation results in massive reprogramming of gene expression. Increased expression of genes for gluconeogenesis and the glyoxylate cycle is observed upon a shift to ethanol and, conversely, expression of some fermentation genes is reduced. The zinc cluster proteins Cat8, Sip4, and Rds2, as well as Adr1, have been shown to mediate this reprogramming of gene expression. In this study, we have characterized the gene YBR239C encoding a putative zinc cluster protein and it was named ERT1 (ethanol regulated transcription factor 1). ChIP-chip analysis showed that Ert1 binds to a limited number of targets in the presence of glucose. The strongest enrichment was observed at the promoter of PCK1 encoding an important gluconeogenic enzyme. With ethanol as the carbon source, enrichment was observed with many additional genes involved in gluconeogenesis and mitochondrial function. Use of lacZ reporters and quantitative RT-PCR analyses demonstrated that Ert1 regulates expression of its target genes in a manner that is highly redundant with other regulators of gluconeogenesis. -
The Interactome of KRAB Zinc Finger Proteins Reveals the Evolutionary History of Their Functional Diversification
Resource The interactome of KRAB zinc finger proteins reveals the evolutionary history of their functional diversification Pierre-Yves Helleboid1,†, Moritz Heusel2,†, Julien Duc1, Cécile Piot1, Christian W Thorball1, Andrea Coluccio1, Julien Pontis1, Michaël Imbeault1, Priscilla Turelli1, Ruedi Aebersold2,3,* & Didier Trono1,** Abstract years ago (MYA) (Imbeault et al, 2017). Their products harbor an N-terminal KRAB (Kru¨ppel-associated box) domain related to that of Krüppel-associated box (KRAB)-containing zinc finger proteins Meisetz (a.k.a. PRDM9), a protein that originated prior to the diver- (KZFPs) are encoded in the hundreds by the genomes of higher gence of chordates and echinoderms, and a C-terminal array of zinc vertebrates, and many act with the heterochromatin-inducing fingers (ZNF) with sequence-specific DNA-binding potential (Urru- KAP1 as repressors of transposable elements (TEs) during early tia, 2003; Birtle & Ponting, 2006; Imbeault et al, 2017). KZFP genes embryogenesis. Yet, their widespread expression in adult tissues multiplied by gene and segment duplication to count today more and enrichment at other genetic loci indicate additional roles. than 350 and 700 representatives in the human and mouse Here, we characterized the protein interactome of 101 of the ~350 genomes, respectively (Urrutia, 2003; Kauzlaric et al, 2017). A human KZFPs. Consistent with their targeting of TEs, most KZFPs majority of human KZFPs including all primate-restricted family conserved up to placental mammals essentially recruit KAP1 and members target sequences derived from TEs, that is, DNA trans- associated effectors. In contrast, a subset of more ancient KZFPs posons, ERVs (endogenous retroviruses), LINEs, SINEs (long and rather interacts with factors related to functions such as genome short interspersed nuclear elements, respectively), or SVAs (SINE- architecture or RNA processing. -
Pseudouridine Synthases Modify Human Pre-Mrna Co-Transcriptionally and Affect Splicing
bioRxiv preprint doi: https://doi.org/10.1101/2020.08.29.273565; this version posted August 31, 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. Pseudouridine synthases modify human pre-mRNA co-transcriptionally and affect splicing Authors: Nicole M. Martinez1, Amanda Su1, Julia K. Nussbacher2,3,4, Margaret C. Burns2,3,4, Cassandra Schaening5, Shashank Sathe2,3,4, Gene W. Yeo2,3,4* and Wendy V. Gilbert1* Authors and order TBD with final revision. Affiliations: 1Yale School of Medicine, Department of Molecular Biophysics & Biochemistry, New Haven, CT 06520, USA. 2Department of Cellular and Molecular Medicine, University of California, San Diego, La Jolla, CA 92037, USA. 3Stem Cell Program, University of California, San Diego, La Jolla, CA 92037, USA. 4Institute for Genomic Medicine, University of California, San Diego, La Jolla, CA 92037, USA. 5Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. *Correspondence to: [email protected], [email protected] Abstract: Eukaryotic messenger RNAs are extensively decorated with modified nucleotides and the resulting epitranscriptome plays important regulatory roles in cells 1. Pseudouridine (Ψ) is a modified nucleotide that is prevalent in human mRNAs and can be dynamically regulated 2–5. However, it is unclear when in their life cycle RNAs become pseudouridylated and what the endogenous functions of mRNA pseudouridylation are. To determine if pseudouridine is added co-transcriptionally, we conducted pseudouridine profiling 2 on chromatin-associated RNA to reveal thousands of intronic pseudouridines in nascent pre-mRNA at locations that are significantly associated with alternatively spliced exons, enriched near splice sites, and overlap hundreds of binding sites for regulatory RNA binding proteins. -
Vfabstract-Booklet-2017---Nda-Removed.Pdf
WELCOME Dear CRINA Research Day Attendee: Thank you for joining us at the fourth annual CRINA Research Day. Last year, at our third event we welcomed over 250 attendees and featured more than 100 posters from many departments and faculties across campus. We are happy to announce that many of those attendees signed up to be members of CRINA, forming the core of our cancer research community. One year later, we continue to build our cancer research community by hosting a cancer-themed Research Day yet again. This year, we have continued to provide trainees with an opportunity to organize the program and present their work orally to our cancer research community at the University of Alberta. We hope that you continue to explore what the University of Alberta has to offer in the cancer research sphere and grow your network of collaborators through future CRINA Research Days. CRINA as an institute has a well-established reporting structure with operations committees and advisory boards. At our core, we continue to strengthen connections within our cancer research community by hosting events throughout the year such as seminars and symposia. Our leadership team is working on defining University of Alberta cancer research strengths in terms of research excellence and available infrastructure and platforms, with plans to build on these strengths to accelerate discovery and innovation. CRINA also represents the interests of its members as a unified voice on the provincial stage, working with AHS, AIHS and the ACF. Our ultimate goal is to establish our Institute as a national leader in cancer research and patient care, wherein clinical outcomes are addressed with scientific inquiry and where research drives innovations in cancer prevention, treatment and survivorship. -
A Negative Feedback Loop of the TOR Signaling Moderates Growth And
bioRxiv preprint doi: https://doi.org/10.1101/2020.09.06.284745; this version posted September 7, 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. 1 A negative feedback loop of the TOR signaling moderates 2 growth and enables rapid sensing of stress signals in plants 3 Muhammed Jamsheer K1#*<, Sunita Jindal1#>, Mohan Sharma1, Manvi Sharma1, Sreejath Sivaj2, 4 Chanchal Thomas Mannully1^, Ashverya Laxmi1* 5 1National Institute of Plant Genome Research, Aruna Asaf Ali Marg, New Delhi 110067, India 6 2Department of Mechanical Engineering, Indian Institute of Technology Delhi, New Delhi, 110016, 7 India 8 9 <Current affiliation: Amity Food & Agriculture Foundation, Amity University Uttar Pradesh, Sector 10 125, Noida 201313, India 11 ^Current affiliation: Cell Metabolism Laboratory, School of Pharmacy, The Hebrew University of 12 Jerusalem, Jerusalem, 9112102, Israel 13 >Current affiliation: Department of Molecular Biology and Radiology, Mendel University in Brno, 14 Brno, 613 00, Czech Republic 15 16 #Equal first authors 17 18 *Corresponding authors 19 Ashverya Laxmi 20 Muhammed Jamsheer K 21 Email: AL: [email protected] (Lead Contact); MJK: [email protected] 22 ORCID: Ashverya Laxmi (0000-0002-3430-4200); Muhammed Jamsheer K (0000-0002-2135- 23 8760) 24 25 26 27 28 29 30 31 32 33 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.09.06.284745; this version posted September 7, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. -
Stroke Genetics and Genomics
Faculdade de Medicina da Universidade de Lisboa Unidade Neurológica de Investigação Clínica PhD Thesis Stroke Genetics and Genomics Tiago Krug Coelho Host Institution: Instituto Gulbenkian de Ciência Supervisor at Instituto Gulbenkian de Ciência: Doctor Sofia Oliveira Supervisor at Faculdade de Medicina da Universidade de Lisboa: Professor José Ferro PhD in Biomedical Sciences Specialization in Neurosciences 2010 Stroke Genetics and Genomics A ciência tem, de facto, um único objectivo: a verdade. Não esgota perfeitamente a sua tarefa se não descobre a causa do todo. Chiara Lubich i Stroke Genetics and Genomics ii Stroke Genetics and Genomics A impressão desta dissertação foi aprovada pela Comissão Coordenadora do Conselho Científico da Faculdade de Medicina de Lisboa em reunião de 28 de Setembro de 2010. iii Stroke Genetics and Genomics iv Stroke Genetics and Genomics As opiniões expressas são da exclusiva responsabilidade do seu autor. v Stroke Genetics and Genomics vi Stroke Genetics and Genomics Abstract ABSTRACT This project presents a comprehensive approach to the identification of new genes that influence the risk for developing stroke. Stroke is the leading cause of death in Portugal and the third leading cause of death in the developed world. It is even more disabling than lethal, and the persistent neurological impairment and physical disability caused by stroke have a very high socioeconomic cost. Moreover, the number of affected individuals is expected to increase with the current aging of the population. Stroke is a “brain attack” cutting off vital blood and oxygen to the brain cells and it is a complex disease resulting from environmental and genetic factors. -
Supplemental Table 3 Site ID Intron Poly(A) Site Type NM/KG Inum
Supplemental Table 3 Site ID Intron Poly(A) site Type NM/KG Inum Region Gene ID Gene Symbol Gene Annotation Hs.120277.1.10 chr3:170997234:170996860 170996950 b NM_153353 7 CDS 151827 LRRC34 leucine rich repeat containing 34 Hs.134470.1.27 chr17:53059664:53084458 53065543 b NM_138962 10 CDS 124540 MSI2 musashi homolog 2 (Drosophila) Hs.162889.1.18 chr14:80367239:80329208 80366262 b NM_152446 12 CDS 145508 C14orf145 chromosome 14 open reading frame 145 Hs.187898.1.27 chr22:28403623:28415294 28404458 b NM_181832 16 3UTR 4771 NF2 neurofibromin 2 (bilateral acoustic neuroma) Hs.228320.1.6 chr10:115527009:115530350 115527470 b BC036365 5 CDS 79949 C10orf81 chromosome 10 open reading frame 81 Hs.266308.1.2 chr11:117279579:117278191 117278967 b NM_032046 12 CDS 84000 TMPRSS13 transmembrane protease, serine 13 Hs.266308.1.4 chr11:117284536:117281662 117283722 b NM_032046 9 CDS 84000 TMPRSS13 transmembrane protease, serine 13 Hs.2689.1.4 chr10:53492398:53563605 53492622 b NM_006258 7 CDS 5592 PRKG1 protein kinase, cGMP-dependent, type I Hs.280781.1.6 chr18:64715646:64829150 64715837 b NM_024781 4 CDS 79839 C18orf14 chromosome 18 open reading frame 14 Hs.305985.2.25 chr12:8983686:8984438 8983942 b BX640639 17 3UTR NA NA NA Hs.312098.1.36 chr1:151843991:151844258 151844232 b NM_003815 15 CDS 8751 ADAM15 a disintegrin and metalloproteinase domain 15 (metargidin) Hs.314338.1.11 chr21:39490293:39481214 39487623 b NM_018963 41 CDS 54014 BRWD1 bromodomain and WD repeat domain containing 1 Hs.33368.1.3 chr15:92685158:92689361 92688314 b NM_018349 6 CDS 55784 MCTP2 multiple C2-domains with two transmembrane regions 2 Hs.346736.1.21 chr2:99270738:99281614 99272414 b AK126402 10 3UTR 51263 MRPL30 mitochondrial ribosomal protein L30 Hs.445061.1.19 chr16:69322898:69290216 69322712 b NM_018052 14 CDS 55697 VAC14 Vac14 homolog (S. -
Genomic and Transcriptomic Investigations Into the Feed Efficiency Phenotype of Beef Cattle
Provided by the author(s) and NUI Galway in accordance with publisher policies. Please cite the published version when available. Title Genomic and transcriptomic investigations into the feed efficiency phenotype of beef cattle Author(s) Higgins, Marc Publication Date 2019-03-06 Publisher NUI Galway Item record http://hdl.handle.net/10379/15008 Downloaded 2021-09-25T18:07:39Z Some rights reserved. For more information, please see the item record link above. Genomic and Transcriptomic Investigations into the Feed Efficiency Phenotype of Beef Cattle Marc Higgins, B.Sc., M.Sc. A thesis submitted for the Degree of Doctor of Philosophy to the Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Derek Morris Discipline of Biochemistry, School of Natural Sciences, National University of Ireland, Galway. Supervisor: Dr. Sinéad Waters Teagasc, Animal and Bioscience Research Department, Animal & Grassland Research and Innovation Centre, Teagasc, Grange. Submitted November 2018 Table of Contents Declaration ................................................................................................................ vii Funding .................................................................................................................... viii Acknowledgements .................................................................................................... ix Abstract ...................................................................................................................... -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7 -
Computational Inferences of Mutations Driving Mesenchymal Differentiation in Glioblastoma
Computational Inferences of Mutations Driving Mesenchymal Differentiation in Glioblastoma James Chen Submitted in partial fulfillment of the requirements for the Doctor of Philosophy Degree in the Graduate School of Arts and Sciences Columbia University 2013 ! 2013 James Chen All rights reserved ABSTRACT Computational Inferences of Mutations Driving Mesenchymal Differentiation in Glioblastoma James Chen This dissertation reviews the development and implementation of integrative, systems biology methods designed to parse driver mutations from high- throughput array data derived from human patients. The analysis of vast amounts of genomic and genetic data in the context of complex human genetic diseases such as Glioblastoma is a daunting task. Mutations exist by the hundreds, if not thousands, and only an unknown handful will contribute to the disease in a significant way. The goal of this project was to develop novel computational methods to identify candidate mutations from these data that drive the molecular differentiation of glioblastoma into the mesenchymal subtype, the most aggressive, poorest-prognosis tumors associated with glioblastoma. TABLE OF CONTENTS CHAPTER 1… Introduction and Background 1 Glioblastoma and the Mesenchymal Subtype 3 Systems Biology and Master Regulators 9 Thesis Project: Genetics and Genomics 20 CHAPTER 2… TCGA Data Processing 23 CHAPTER 3… DIGGIn Part 1 – Selecting f-CNVs 33 Mutual Information 40 Application and Analysis 45 CHAPTER 4… DIGGIn Part 2 – Selecting drivers 52 CHAPTER 5… KLHL9 Manuscript 63 Methods 90 CHAPTER 5a… Revisions work-in-progress 105 CHAPTER 6… Discussion 109 APPENDICES… 132 APPEND01 – TCGA classifications 133 APPEND02 – GBM f-CNV list 136 APPEND03 – MES f-CNV candidate drivers 152 APPEND04 – Scripts 149 APPEND05 – Manuscript Figures and Legends 175 APPEND06 – Manuscript Supplemental Materials 185 i ACKNOWLEDGEMENTS I would like to thank the Califano Lab and my mentor, Andrea Califano, for their intellectual and motivational support during my stay in their lab. -
Transcriptomic Regulation of Alternative Phenotypic Trajectories in Embryos of the Annual Killifish Austrofundulus Limnaeus
Portland State University PDXScholar Dissertations and Theses Dissertations and Theses Fall 11-30-2017 Transcriptomic Regulation of Alternative Phenotypic Trajectories in Embryos of the Annual Killifish Austrofundulus limnaeus Amie L. Romney Portland State University Follow this and additional works at: https://pdxscholar.library.pdx.edu/open_access_etds Part of the Biology Commons, and the Genetics and Genomics Commons Let us know how access to this document benefits ou.y Recommended Citation Romney, Amie L., "Transcriptomic Regulation of Alternative Phenotypic Trajectories in Embryos of the Annual Killifish Austrofundulus limnaeus" (2017). Dissertations and Theses. Paper 4033. https://doi.org/10.15760/etd.5917 This Dissertation is brought to you for free and open access. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of PDXScholar. Please contact us if we can make this document more accessible: [email protected]. Transcriptomic Regulation of Alternative Phenotypic Trajectories in embryos of the Annual Killifish Austrofundulus limnaeus by Amie Lynn Thomas Romney A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biology Dissertation Committee Jason Podrabsky, Chair Suzanne Estes Bradley Buckley Todd Rosenstiel Dirk Iwata-Reuyl Portland State University 2017 © 2017 Amie Lynn Thomas Romney ABSTRACT The Annual Killifish, Austrofundulus limnaeus, survives the seasonal drying of their pond habitat in the form of embryos entering diapause midway through development. The diapause trajectory is one of two developmental phenotypes. Alternatively, individuals can “escape” entry into diapause and develop continuously until hatching. The alternative phenotypes of A. limnaeus are a form of developmental plasticity that provides this species with a physiological adaption for surviving stressful environments. -
Supplementary Table 3 Gene Microarray Analysis: PRL+E2 Vs
Supplementary Table 3 Gene microarray analysis: PRL+E2 vs. control ID1 Field1 ID Symbol Name M Fold P Value 69 15562 206115_at EGR3 early growth response 3 2,36 5,13 4,51E-06 56 41486 232231_at RUNX2 runt-related transcription factor 2 2,01 4,02 6,78E-07 41 36660 227404_s_at EGR1 early growth response 1 1,99 3,97 2,20E-04 396 54249 36711_at MAFF v-maf musculoaponeurotic fibrosarcoma oncogene homolog F 1,92 3,79 7,54E-04 (avian) 42 13670 204222_s_at GLIPR1 GLI pathogenesis-related 1 (glioma) 1,91 3,76 2,20E-04 65 11080 201631_s_at IER3 immediate early response 3 1,81 3,50 3,50E-06 101 36952 227697_at SOCS3 suppressor of cytokine signaling 3 1,76 3,38 4,71E-05 16 15514 206067_s_at WT1 Wilms tumor 1 1,74 3,34 1,87E-04 171 47873 238623_at NA NA 1,72 3,30 1,10E-04 600 14687 205239_at AREG amphiregulin (schwannoma-derived growth factor) 1,71 3,26 1,51E-03 256 36997 227742_at CLIC6 chloride intracellular channel 6 1,69 3,23 3,52E-04 14 15038 205590_at RASGRP1 RAS guanyl releasing protein 1 (calcium and DAG-regulated) 1,68 3,20 1,87E-04 55 33237 223961_s_at CISH cytokine inducible SH2-containing protein 1,67 3,19 6,49E-07 78 32152 222872_x_at OBFC2A oligonucleotide/oligosaccharide-binding fold containing 2A 1,66 3,15 1,23E-05 1969 32201 222921_s_at HEY2 hairy/enhancer-of-split related with YRPW motif 2 1,64 3,12 1,78E-02 122 13463 204015_s_at DUSP4 dual specificity phosphatase 4 1,61 3,06 5,97E-05 173 36466 227210_at NA NA 1,60 3,04 1,10E-04 117 40525 231270_at CA13 carbonic anhydrase XIII 1,59 3,02 5,62E-05 81 42339 233085_s_at OBFC2A oligonucleotide/oligosaccharide-binding