Cloning and Characterization of the 5' Upstream Region of the Human Primary Response Gene EGR-3

Total Page:16

File Type:pdf, Size:1020Kb

Cloning and Characterization of the 5' Upstream Region of the Human Primary Response Gene EGR-3 Molecular Biology Today (2001) 2(2): 13-20. Human Primary Response Gene EGR-3 13 Cloning and Characterization of the 5' Upstream Region of the Human Primary Response Gene EGR-3 Jun Liu1*, Marion Nau2, Liam Grogan2, Powell Brown2, Introduction Carmen Allegra2, Edward Chu1, and John Wright2 The primary response genes encode a spectrum of 1Department of Medicine and Pharmacology, Yale Cancer structural and regulatory proteins including several families Center, Yale University School of Medicine and VA of nuclear transcription factors that presumably regulate a Connecticut Healthcare System, New Haven, CT 06520, select group of target genes involved in tissue- and signal- USA specific responses (Herschman, 1991). Among them, the 2Medicine Branch, Division of Clinical Science, National Egr (early growth response) gene family is a structurally Cancer Institute, National Institutes of Health, Bethesda, related group consisting, to date, of four zinc finger MD 20889, USA transcription factors, Egr-1, Egr-2, Egr-3, and pAT 13 (Sukhatme et al., 1988; Joseph et al., 1988; Muller et al., *Address correspondence to: 1991). The Egr genes encode proteins with three tandem Jun Liu, M.D., VA CT Healthcare System, Cancer Center- zinc finger motifs of the Cys2- His2 subclass that are highly 111D, 950 Campbell Avenue, West Haven, CT 06516, USA homologous and mediate sequence-specific DNA binding. The prototypic member of this group, Egr-1, has been most extensively studied in this regard. A GC-rich nonameric Abstract consensus sequence (GCGGGGGCG) was initially identified as an Egr-1 binding site Christy and Nathans, Egr-3 is an immediate-early primary response gene 1989; Cao et al., 1993), and the interaction of murine Egr- encoding a zinc finger transcription factor. We cloned 1 with the GCGTGGGCG motif was characterized by X- the human Egr-3 genomic locus including greater than ray crystallography studies (Pavletich and Pabo, 1991). 1100 bp of the 5' flanking region and analyzed this Binding to the nonameric consensus sequence has been region for putative cis-acting elements. The GC-rich demonstrated for all the Egr family members, which promoter forms part of a representative CpG island complex to this domain with different levels of affinity. Other that extends into the genomic locus. The Egr-3 putative Egr response elements include a homopurine/ promoter contains a region of TATA homology located homopyrimidine domain (TCCTCCTCCTCCTCTCC) 25bp upstream from a major transcriptional start site. (Wang and Deuel, 1992) and variations of the consensus One serum response element and two variant Egr sequence (Swirnoff and Milbrandt, 1995; Nakagama et al., consensus sequences were identified. Features that 1995). Some of the Egr-binding sequences are present in distinguished Egr-3 from other human Egr gene the promoter region of various genes involved in cell promoters included the presence of at least five E-box proliferation, thus linking this family of regulatory proteins motifs and a retinoblastoma response element. In to transcriptional control of cellular growth processes. addition, an overlapping tandem repeat of 16 GC-rich A potential relationship of some Egr genes and related nonamers was identified in the flanking region that may zinc finger proteins to the development of the malignant represent a novel regulatory region for this primary phenotype has also been suggested. Egr-1 is located on response gene. Reporter constructs coupled with Egr- chromosome 5q31, a region commonly deleted in therapy- 3 flanking sequences in sense and antisense related myeloid leukemias (Nucifora et al., 1993). Dys- orientation were tested in transient transfection regulated expression of Egr-1 and Egr-2 by human assays. The functional activity of the Egr-3 regulatory retrovirus-transformed cells (Wright et al., 1990) and soft- region was position-specific. Deletional analysis in tissue sarcomas has been identified. Putative tumor serum stimuIated embryonic lung fibroblasts identified suppressor activity of Egr-1 has been described based on that the major elements responsible for growth- studies showing inhibition of v-sis transformation in murine induced Egr-3 expression are located within the first fibroblasts co-transfected with an expression vector 378 bp upstream of the major transcription start site. containing Egr or Egr gene fragments (Huang et al., 1994). Analysis of the human Egr-3 genomic locus revealed Finally, the WT1 gene, the loss of which results in the a complex regulatory organization with significant development of Wilms tumors, encodes a transcription differences from other Egr genes. These findings may factor with zinc finger regions that share a high level of provide insights into the expression of Egr-3 in normal sequence homology to the corresponding region of Egr and neoplastic tissues. proteins and binds the Egr consensus sequence as well (Nakagama et al., 1995). The human and murine Egr-3 genes were isolated from a serum-activated cDNA library by low-stringency hybridization with an Egr-1 probe containing the zinc finger (Patwardhan et al., 1991). The putative Egr-3 protein *For correspondence. Email [email protected]; Tel. (203) 932-5711 Ext. 4033; Fax. (203) 937-4869. featured three tandem zinc finger motifs that were 90% © 2001 Caister Academic Press Further Reading Caister Academic Press is a leading academic publisher of advanced texts in microbiology, molecular biology and medical research. Full details of all our publications at caister.com • MALDI-TOF Mass Spectrometry in Microbiology Edited by: M Kostrzewa, S Schubert (2016) www.caister.com/malditof • Aspergillus and Penicillium in the Post-genomic Era Edited by: RP Vries, IB Gelber, MR Andersen (2016) www.caister.com/aspergillus2 • The Bacteriocins: Current Knowledge and Future Prospects Edited by: RL Dorit, SM Roy, MA Riley (2016) www.caister.com/bacteriocins • Omics in Plant Disease Resistance Edited by: V Bhadauria (2016) www.caister.com/opdr • Acidophiles: Life in Extremely Acidic Environments Edited by: R Quatrini, DB Johnson (2016) www.caister.com/acidophiles • Climate Change and Microbial Ecology: Current Research and Future Trends Edited by: J Marxsen (2016) www.caister.com/climate • Biofilms in Bioremediation: Current Research and Emerging Technologies • Flow Cytometry in Microbiology: Technology and Applications Edited by: G Lear (2016) www.caister.com/biorem Edited by: MG Wilkinson (2015) www.caister.com/flow • Microalgae: Current Research and Applications • Probiotics and Prebiotics: Current Research and Future Trends Edited by: MN Tsaloglou (2016) www.caister.com/microalgae Edited by: K Venema, AP Carmo (2015) www.caister.com/probiotics • Gas Plasma Sterilization in Microbiology: Theory, Applications, Pitfalls and New Perspectives • Epigenetics: Current Research and Emerging Trends Edited by: H Shintani, A Sakudo (2016) Edited by: BP Chadwick (2015) www.caister.com/gasplasma www.caister.com/epigenetics2015 • Virus Evolution: Current Research and Future Directions • Corynebacterium glutamicum: From Systems Biology to Biotechnological Applications Edited by: SC Weaver, M Denison, M Roossinck, et al. (2016) www.caister.com/virusevol Edited by: A Burkovski (2015) www.caister.com/cory2 • Arboviruses: Molecular Biology, Evolution and Control Edited by: N Vasilakis, DJ Gubler (2016) • Advanced Vaccine Research Methods for the Decade of www.caister.com/arbo Vaccines Edited by: F Bagnoli, R Rappuoli (2015) • Shigella: Molecular and Cellular Biology www.caister.com/vaccines Edited by: WD Picking, WL Picking (2016) www.caister.com/shigella • Antifungals: From Genomics to Resistance and the Development of Novel Agents • Aquatic Biofilms: Ecology, Water Quality and Wastewater Edited by: AT Coste, P Vandeputte (2015) Treatment www.caister.com/antifungals Edited by: AM Romaní, H Guasch, MD Balaguer (2016) www.caister.com/aquaticbiofilms • Bacteria-Plant Interactions: Advanced Research and Future Trends Edited by: J Murillo, BA Vinatzer, RW Jackson, et al. (2015) • Alphaviruses: Current Biology www.caister.com/bacteria-plant Edited by: S Mahalingam, L Herrero, B Herring (2016) www.caister.com/alpha • Aeromonas Edited by: J Graf (2015) • Thermophilic Microorganisms www.caister.com/aeromonas Edited by: F Li (2015) www.caister.com/thermophile • Antibiotics: Current Innovations and Future Trends Edited by: S Sánchez, AL Demain (2015) www.caister.com/antibiotics • Leishmania: Current Biology and Control Edited by: S Adak, R Datta (2015) www.caister.com/leish2 • Acanthamoeba: Biology and Pathogenesis (2nd edition) Author: NA Khan (2015) www.caister.com/acanthamoeba2 • Microarrays: Current Technology, Innovations and Applications Edited by: Z He (2014) www.caister.com/microarrays2 • Metagenomics of the Microbial Nitrogen Cycle: Theory, Methods and Applications Edited by: D Marco (2014) www.caister.com/n2 Order from caister.com/order 14 Liu et al. A B Figure 1. Northern blot analysis of discordant patterns of mRNA expression by related Egr genes. A. Kinetics of Egr-1 and Egr-3 expression following serum stimulation. Left panel: Egr-3 expression and right panel: Egr-1 expression. MRC-9 cells were synchronized in G0 by serum deprivation, and total RNAs were extracted at 0, 0.5, 1, 2, 3, and 4 hr following 20% serum stimulation. Ten µg of total RNA was electrophoresed and hybridized with 32P-labeled Egr-3 cDNA probe. B. Comparison of Egr-1, Egr-2 and Egr-3 expression by human HTLV-1 transformed. T-lymphocyte cell line 702 and fetal lung cell line MRC-9. Cells were harvested at 60 min following serum stimulation of quiescent cells. Ten µg of total RNA was electrophoresed per lane and hybridized with the respective 32P-labeled cDNA probes. homologous to the Egr-1 zinc finger domains as well as a adult rat tissues despite high levels of Egr-1 expression in significant degree (~35%) of similarity in the N-terminus to rat brain, lung, and heart. In addition, although Egr-1 is the corresponding region of Egr-1 and Egr-2. Analysis of highly expressed in rat PCJ 2 cells following nerve growth an Egr-3 genomic clone identified a gene structure similar factor stimulation, Egr-3 is not activated under similar to Egr-1 and Egr-2 with one intron approximately 1.3 kb in conditions.
Recommended publications
  • DNA Sequencing and Sorting: Identifying Genetic Variations
    BioMath DNA Sequencing and Sorting: Identifying Genetic Variations Student Edition Funded by the National Science Foundation, Proposal No. ESI-06-28091 This material was prepared with the support of the National Science Foundation. However, any opinions, findings, conclusions, and/or recommendations herein are those of the authors and do not necessarily reflect the views of the NSF. At the time of publishing, all included URLs were checked and active. We make every effort to make sure all links stay active, but we cannot make any guaranties that they will remain so. If you find a URL that is inactive, please inform us at [email protected]. DIMACS Published by COMAP, Inc. in conjunction with DIMACS, Rutgers University. ©2015 COMAP, Inc. Printed in the U.S.A. COMAP, Inc. 175 Middlesex Turnpike, Suite 3B Bedford, MA 01730 www.comap.com ISBN: 1 933223 71 5 Front Cover Photograph: EPA GULF BREEZE LABORATORY, PATHO-BIOLOGY LAB. LINDA SHARP ASSISTANT This work is in the public domain in the United States because it is a work prepared by an officer or employee of the United States Government as part of that person’s official duties. DNA Sequencing and Sorting: Identifying Genetic Variations Overview Each of the cells in your body contains a copy of your genetic inheritance, your DNA which has been passed down to you, one half from your biological mother and one half from your biological father. This DNA determines physical features, like eye color and hair color, and can determine susceptibility to medical conditions like hypertension, heart disease, diabetes, and cancer.
    [Show full text]
  • CHD7 Represses the Retinoic Acid Synthesis Enzyme ALDH1A3 During Inner Ear Development
    CHD7 represses the retinoic acid synthesis enzyme ALDH1A3 during inner ear development Hui Yao, … , Shigeki Iwase, Donna M. Martin JCI Insight. 2018;3(4):e97440. https://doi.org/10.1172/jci.insight.97440. Research Article Development Neuroscience CHD7, an ATP-dependent chromatin remodeler, is disrupted in CHARGE syndrome, an autosomal dominant disorder characterized by variably penetrant abnormalities in craniofacial, cardiac, and nervous system tissues. The inner ear is uniquely sensitive to CHD7 levels and is the most commonly affected organ in individuals with CHARGE. Interestingly, upregulation or downregulation of retinoic acid (RA) signaling during embryogenesis also leads to developmental defects similar to those in CHARGE syndrome, suggesting that CHD7 and RA may have common target genes or signaling pathways. Here, we tested three separate potential mechanisms for CHD7 and RA interaction: (a) direct binding of CHD7 with RA receptors, (b) regulation of CHD7 levels by RA, and (c) CHD7 binding and regulation of RA-related genes. We show that CHD7 directly regulates expression of Aldh1a3, the gene encoding the RA synthetic enzyme ALDH1A3 and that loss of Aldh1a3 partially rescues Chd7 mutant mouse inner ear defects. Together, these studies indicate that ALDH1A3 acts with CHD7 in a common genetic pathway to regulate inner ear development, providing insights into how CHD7 and RA regulate gene expression and morphogenesis in the developing embryo. Find the latest version: https://jci.me/97440/pdf RESEARCH ARTICLE CHD7 represses the retinoic acid synthesis enzyme ALDH1A3 during inner ear development Hui Yao,1 Sophie F. Hill,2 Jennifer M. Skidmore,1 Ethan D. Sperry,3,4 Donald L.
    [Show full text]
  • Oncjuly3 6..6
    Oncogene (1999) 18, 4137 ± 4143 ã 1999 Stockton Press All rights reserved 0950 ± 9232/99 $12.00 http://www.stockton-press.co.uk/onc Tax protein of HTLV-1 inhibits CBP/p300-mediated transcription by interfering with recruitment of CBP/p300 onto DNA element of E-box or p53 binding site Takeshi Suzuki1, Masami Uchida-Toita1 and Mitsuaki Yoshida*,1 1Department of Cellular and Molecular Biology, Institute of Medical Science, The University of Tokyo, 4-6-1 Shirokanedai, Minato-ku, Tokyo 108-8639, Japan Tax protein of human T-cell leukemia virus type 1 Tax was originally identi®ed as a transcriptional (HTLV-1) is a potent transcriptional regulator which can activator for viral gene expression and then was shown activate or repress speci®c cellular genes and has been to activate a wide variety of cellular genes (Yoshida et proposed to contribute to leukemogenic processes in al., 1995). Tax was also demonstrated to inhibit adult T-cell leukemia. The molecular mechanism of Tax- expression of several genes. In addition to the mediated trans-activation has been well investigated. transcriptional deregulation, we found that Tax binds However, trans-repression by Tax remains to be studied to p16ink4a protein, a cyclin-dependent kinase (CDK) in detail, although it is known to require a speci®c DNA inhibitor, and suppresses its inhibitory activity pre- element such as E-box or p53 binding site. Examining venting the cell from undergoing growth arrest (Suzuki possible mechanisms of trans-repression, we found that et al., 1996). These pleiotropic functions of Tax aect co-expression of E47 and p300 activated E-box multiple regulatory processes of cells and are believed dependent transcription and this activation was eciently to play roles at least in the initial stage of repressed by Tax.
    [Show full text]
  • Transcrip\Onal and Epigene\C Changes During Heart Disease
    786/110 Transcrip)onal and Epigene)c Changes during Heart Disease Danish Sayed Unique Features of Heart • Involuntary, rhythmic, cyclic contractions • Terminally differentiated, postnatal myocytes increase in size not numbers for growth • Number of non myocytes (e.g. fibroblasts) is more (60-70%) compared to number of myocytes (~30%). Neonate Heart Postnatal Growth “Physiological” Adult Heart - Exercise - Hypertension - Pregnancy - Aortic Stenosis - Sarcomeric Gene mutation - Myocardial Infarction - Dilated Cardiomyopathy Physiological Pathological Hypertrophy Hypertrophy Dilatation and Failure Compensatory Decompensation Overload • Increase in cardiomyocyte size • Chamber dilatation and mass, resulting in enlarged heart • Decreased Ventricular Wall • Increase in generalized gene Thickness and Increased expression, superimposed with wall tension significant increase in specialized genes, fetal gene • Altered Ca+2 handling program • Increased wall thickness • Increased myocardial • Switch to glucose metabolism apoptosis for energy Compromised Maintained Cardiac Cardiac function and Function and Output Output Modulators of Cardiac Hypertrophy L-Type Ca+2 Ang II, ET-1 Channel α-Adrenergic β-Adrenergic Mechanical Ca+2 Insulin-like Growth Stretch + Factor Na Gq Gs P Ca+2 PKA PLC Adenylyl Integrin Cyclase Ca+2 RAS-GTP Na+ PI3K IP3 DAG cAMP Calcineurine FAK AKT Ca+2 Rho PKC PKA Ras mTOR Rac GSK3β 4EBP1 Rock MLCK NFAT MAPK eIF2B p70S6K eIF4E ME ME ME ME GATA4 GATA4 MEF2 Sarcomere SRF Translation AC AC Transcription HDAC Histone Acetylation HAT Modificatn. Methylation HMT Chromatin Demethylases Remodeling Phosphorylation DNA Methylation Transcriptional Modificatn. General Factors Transcription factors TFIIA, TFIIB, TFIID… Promoter Specific Factors GATA family, NFATc family Activity Recruitment Gene Regulation RNA Polymerase II Dynamics Initiation Elongation Translation factors e.g.
    [Show full text]
  • Repressor to Activator Switch by Mutations in the First Zn Finger of The
    Proc. Nat!. Acad. Sci. USA Vol. 88, pp. 7086-7090, August 1991 Biochemistry Repressor to activator switch by mutations in the first Zn finger of the glucocorticoid receptor: Is direct DNA binding necessary? (interleukin 1 indudbility/dexamethasone modulation/DNA-binding domain mutants/interleukin 6 and c-fos promoters) ANURADHA RAY, K. STEVEN LAFORGE, AND PRAVINKUMAR B. SEHGAL* The Rockefeller University, New York, NY 10021 Communicated by Igor Tamm, May 20, 1991 (receivedfor review March 15, 1991) ABSTRACT Transfection ofHeLa cells with cDNA vectors previous experiments in HeLa cells transfected with cDNA expressing the wild-type human glucocorticoid receptor (GR) vectors constitutively expressing the wild type (wt) but not enabled dexamethasone to strongly repress cytokine- and sec- the inactive carboxyl-terminal truncation mutants of GR, we ond messenger-induced expression of cotransfected chimeric observed that dexamethasone (Dex) strongly repressed the reporter genes containing transcription regulatory DNA ele- induction by interleukin 1 (IL-1), tumor necrosis factor, ments from the human interleukin 6 (IL-6) promoter. Deletion phorbol ester, or forskolin of IL-6-chloramphenicol acetyl- of the DNA-binding domain or of the second Zn finger or a transferase (CAT) constructs containing IL-6 DNA from point mutation in the Zn catenation site in the second finger -225 to +13. Dex also repressed induction of IL-6- blocked the ability of GR to mediate repression of the IL-6 thymidine kinase (TK)-CAT chimeric constructs containing promoter.
    [Show full text]
  • Identification of a Family of Camp Response Element-Binding Protein Coactivators by Genome-Scale Functional Analysis in Mammalian Cells
    Identification of a family of cAMP response element-binding protein coactivators by genome-scale functional analysis in mammalian cells Vadim Iourgenko*†, Wenjun Zhang*†, Craig Mickanin*, Ira Daly*, Can Jiang*, Jonathan M. Hexham*, Anthony P. Orth‡, Loren Miraglia‡, Jodi Meltzer*, Dan Garza*, Gung-Wei Chirn*, Elizabeth McWhinnie*, Dalia Cohen*, Joanne Skelton*, Robert Terry*, Yang Yu*, Dale Bodian*, Frank P. Buxton*, Jian Zhu*, Chuanzheng Song*, and Mark A. Labow*§ *Department of Functional Genomics, Novartis Institute for Biomedical Research, 100 Technology Square, Cambridge, MA 02139; and ‡Genomics Institute, Novartis Research Foundation, 10675 John Jay Hopkins Drive, Suite F117, San Diego, CA 92121 Edited by Peter K. Vogt, The Scripps Research Institute, La Jolla, CA, and approved July 30, 2003 (received for review May 8, 2003) This report describes an unbiased method for systematically de- of screening data and further experiments demonstrated that the termining gene function in mammalian cells. A total of 20,704 IL-8 promoter contained an unrecognized cAMP response predicted human full-length cDNAs were tested for induction of element (CRE)-like element that was activated by a protein, the IL-8 promoter. A number of genes, including those for cyto- termed transducer of regulated cAMP response element-binding kines, receptors, adapters, kinases, and transcription factors, were protein (CREB) TORC1, which is the founding member of a identified that induced the IL-8 promoter through known regula- conserved family of CREB coactivators. Thus, screening of tory sites. Proteins that acted through a cooperative interaction arrayed cDNAs represents an unbiased approach for identifica- between an AP-1 and an unrecognized cAMP response element tion of gene function and elucidation of pathways that regulate (CRE)-like site were also identified.
    [Show full text]
  • A Tool for Detecting Base Mis-Calls in Multiple Sequence Alignments by Semi-Automatic Chromatogram Inspection
    ChromatoGate: A Tool for Detecting Base Mis-Calls in Multiple Sequence Alignments by Semi-Automatic Chromatogram Inspection Nikolaos Alachiotis Emmanouella Vogiatzi∗ Scientific Computing Group Institute of Marine Biology and Genetics HITS gGmbH HCMR Heidelberg, Germany Heraklion Crete, Greece [email protected] [email protected] Pavlos Pavlidis Alexandros Stamatakis Scientific Computing Group Scientific Computing Group HITS gGmbH HITS gGmbH Heidelberg, Germany Heidelberg, Germany [email protected] [email protected] ∗ Affiliated also with the Department of Genetics and Molecular Biology of the Democritian University of Thrace at Alexandroupolis, Greece. Corresponding author: Nikolaos Alachiotis Keywords: chromatograms, software, mis-calls Abstract Automated DNA sequencers generate chromatograms that contain raw sequencing data. They also generate data that translates the chromatograms into molecular sequences of A, C, G, T, or N (undetermined) characters. Since chromatogram translation programs frequently introduce errors, a manual inspection of the generated sequence data is required. As sequence numbers and lengths increase, visual inspection and manual correction of chromatograms and corresponding sequences on a per-peak and per-nucleotide basis becomes an error-prone, time-consuming, and tedious process. Here, we introduce ChromatoGate (CG), an open-source software that accelerates and partially automates the inspection of chromatograms and the detection of sequencing errors for bidirectional sequencing runs. To provide users full control over the error correction process, a fully automated error correction algorithm has not been implemented. Initially, the program scans a given multiple sequence alignment (MSA) for potential sequencing errors, assuming that each polymorphic site in the alignment may be attributed to a sequencing error with a certain probability.
    [Show full text]
  • A Brief History of Sequence Logos
    Biostatistics and Biometrics Open Access Journal ISSN: 2573-2633 Mini-Review Biostat Biometrics Open Acc J Volume 6 Issue 3 - April 2018 Copyright © All rights are reserved by Kushal K Dey DOI: 10.19080/BBOAJ.2018.06.555690 A Brief History of Sequence Logos Kushal K Dey* Department of Statistics, University of Chicago, USA Submission: February 12, 2018; Published: April 25, 2018 *Corresponding author: Kushal K Dey, Department of Statistics, University of Chicago, 5747 S Ellis Ave, Chicago, IL 60637, USA. Tel: 312-709- 0680; Email: Abstract For nearly three decades, sequence logo plots have served as the standard tool for graphical representation of aligned DNA, RNA and protein sequences. Over the years, a large number of packages and web applications have been developed for generating these logo plots and using them handling and the overall scope of these plots in biological applications and beyond. Here I attempt to review some popular tools for generating sequenceto identify logos, conserved with a patterns focus on in how sequences these plots called have motifs. evolved Also, over over time time, since we their have origin seen anda considerable how I view theupgrade future in for the these look, plots. flexibility of data Keywords : Graphical representation; Sequence logo plots; Standard tool; Motifs; Biological applications; Flexibility of data; DNA sequence data; Python library; Interdependencies; PLogo; Depletion of symbols; Alphanumeric strings; Visualizes pairwise; Oligonucleotide RNA sequence data; Visualize succinctly; Predictive power; Initial attempts; Widespread; Stylistic configurations; Multiple sequence alignment; Introduction based comparisons and predictions. In the next section, we The seeds of the origin of sequence logos were planted in review the modeling frameworks and functionalities of some of early 1980s when researchers, equipped with large amounts of these tools [5].
    [Show full text]
  • Bioinformatics Manual Sequence Data Analysis with CLC Main Workbench
    Introduction to Molecular Biology and Bioinformatics Workshop Biosciences eastern and central Africa - International Livestock Research Institute Hub (BecA-ILRI Hub), Nairobi, Kenya May 5-16, 2014 Bioinformatics Manual Sequence data analysis with CLC Main Workbench Written and compiled by Joyce Njuguna, Mark Wamalwa, Rob Skilton 1 Getting started with CLC Main Workbench A. Quality control of sequenced data B. Assembling sequences C. Nucleotide and protein sequence manipulation D. BLAST sequence search E. Aligning sequences F. Building phylogenetic trees Welcome to CLC Main Workbench -- a user-friendly sequence analysis software package for analysing Sanger sequencing data and for supporting your daily bioinformatics work. Definition Sequence: the order of nucleotide bases [or amino acids] in a DNA [or protein] molecule DNA Sequencing: Biochemical methods used to determine the order of nucleotide bases, adenine(A), guanine(G),cytosine(C)and thymine(T) in a DNA strand TIP CLC Main Workbench includes an extensive Help function, which can be found in the Help menu of the program’s Menu bar. The Help can also be shown by pressing F1. The help topics are sorted in a table of contents and the topics can be searched. Also, it is recommended that you view the Online presentations where a product specialist from CLC bio demonstrates the software. This is a very easy way to get started using the program. Read more about online presentations here: http://clcbio.com/presentation. A. Getting Started with CLC Main Workbench 1. Download the trial version of CLC Main Workbench 6.8.1 from the following URL: http://www.clcbio.com/products/clc-main-workbench-direct-download/ 2.
    [Show full text]
  • A STAT Protein Domain That Determines DNA Sequence Recognition Suggests a Novel DNA-Binding Domain
    Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press A STAT protein domain that determines DNA sequence recognition suggests a novel DNA-binding domain Curt M. Horvath, Zilong Wen, and James E. Darnell Jr. Laboratory of Molecular Cell Biology, The Rockefeller University, New York, New York 10021 Statl and Stat3 are two members of the ligand-activated transcription factor family that serve the dual functions of signal transducers and activators of transcription. Whereas the two proteins select very similar (not identical) optimum binding sites from random oligonucleotides, differences in their binding affinity were readily apparent with natural STAT-binding sites. To take advantage of these different affinities, chimeric Statl:Stat3 molecules were used to locate the amino acids that could discriminate a general binding site from a specific binding site. The amino acids between residues -400 and -500 of these -750-amino-acid-long proteins determine the DNA-binding site specificity. Mutations within this region result in Stat proteins that are activated normally by tyrosine phosphorylation and that dimerize but have greatly reduced DNA-binding affinities. [Key Words: STAT proteins; DNA binding; site selection] Received January 6, 1995; revised version accepted March 2, 1995. The STAT (signal transducers and activators if transcrip- Whereas oligonucleotides representing these selected se- tion) proteins have the dual purpose of, first, signal trans- quences exhibited slight binding preferences, the con- duction from ligand-activated receptor kinase com- sensus sites overlapped sufficiently to be recognized by plexes, followed by nuclear translocation and DNA bind- both factors. However, by screening different natural ing to activate transcription (Darnell et al.
    [Show full text]
  • Bioinformatics I Sanger Sequence Analysis
    Updated: October 2020 Lab 5: Bioinformatics I Sanger Sequence Analysis Project Guide The Wolbachia Project Page Contents 3 Activity at a Glance 4 Technical Overview 5-7 Activity: How to Analyze Sanger Sequences 8 DataBase Entry 9 Appendix I: Illustrated BLAST Alignment 10 Appendix II: Sanger Sequencing Quick Reference Content is made available under the Creative Commons Attribution-NonCommercial-No Derivatives International License. Contact ([email protected]) if you would like to make adaptations for distribution beyond the classroom. The Wolbachia Project: Discover the Microbes Within! was developed by a collaboration of scientists, educators, and outreach specialists. It is directed by the Bordenstein Lab at Vanderbilt University. https://www.vanderbilt.edu/wolbachiaproject 2 Activity at a Glance Goals To analyze and interpret the quality of Sanger sequences To generate a consensus DNA sequence for bioinformatics analyses Learning Objectives Upon completion of this activity, students will (i) understand the Sanger method of sequencing, also known as the chain-termination method; (ii) be able to interpret chromatograms; (iii) evaluate sequencing Quality Scores; and (iv) generate a consensus DNA sequence based on forward and reverse Sanger reactions. Prerequisite Skills While no computer programming skills are necessary to complete this work, prior exposure to personal computers and the Internet is assumed. Teaching Time: One class period Recommended Background Tutorials • DNA Learning Center Animation: Sanger Method of
    [Show full text]
  • The Role of ATP-Dependent Chromatin Remodeling Enzyme CHD7 in the Development and Maintenance of Murine Neural Stem Cells By
    The role of ATP-dependent chromatin remodeling enzyme CHD7 in the development and maintenance of murine neural stem cells by Joseph Anthony Micucci A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy (Biological Chemistry) in the University of Michigan 2013 Dissertation Committee: Associate Professor Donna M. Martin, Co-Chair Adjunct Assistant Professor Daniel A. Bochar, Co-Chair Assistant Professor Shigeki Iwase Associate Professor Raymond C. Trievel Professor Michael D. Uhler Associate Professor Anne B. Vojtek When I heard the learn’d astronomer; When the proofs, the figures, were ranged in columns before me; When I was shown the charts and the diagrams, to add, divide, and measure them; When I, sitting, heard the astronomer, where he lectured with much applause in the lecture-room, How soon, unaccountable, I became tired and sick; Till rising and gliding out, I wander’d off by myself, In the mystical moist night-air, and from time to time, Look’d up in perfect silence at the stars. Walt Whitman Leaves of Grass. 1900 Never give up! Trust your instincts! Peppy Hare Star Fox 64 1997 © Joseph Anthony Micucci 2013 Dedication To Kristen, Thank you for supporting me and keeping me grounded for the last 10 years, much to your own chagrin. ii Acknowledgements First, I would like to thank my incredible wife, Kristen. I have no idea how we made it through the last five and a half years with our marriage and happiness intact. I think we would both agree that the cats were excellent arbiters.
    [Show full text]