Chromatin Dynamics in the Regulation of CFTR Expression
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Design Principles for Regulator Gene Expression in a Repressible Gene
Design of Repressible Gene Circuits: M.E. Wall et al. 1 Design Principles for Regulator Gene Expression in a Repressible Gene Circuit Michael E. Wall1,2, William S. Hlavacek3* and Michael A. Savageau4+ 1Computer and Computational Sciences Division and 2Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 3Theoretical Biology and Biophysics Group (T-10), Theoretical Division, Mail Stop K710, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 4Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA +Current address: Department of Biomedical Engineering, One Shields Avenue, University of California, Davis, CA 95616, USA. *Corresponding author Tel.: +1-505 665 1355 Fax: +1-505 665 3493 E-mail address of the corresponding author: [email protected] Design of Repressible Gene Circuits: M.E. Wall et al. 2 Summary We consider the design of a type of repressible gene circuit that is common in bacteria. In this type of circuit, a regulator protein acts to coordinately repress the expression of effector genes when a signal molecule with which it interacts is present. The regulator protein can also independently influence the expression of its own gene, such that regulator gene expression is repressible (like effector genes), constitutive, or inducible. Thus, a signal-directed change in the activity of the regulator protein can result in one of three patterns of coupled regulator and effector gene expression: direct coupling, in which regulator and effector gene expression change in the same direction; uncoupling, in which regulator gene expression remains constant while effector gene expression changes; or inverse coupling, in which regulator and effector gene expression change in opposite directions. -
Controlled Transcription of Regulator Gene Cars by Tet-On Or by a Strong Promoter Confirms Its Role As a Repressor of Carotenoid Biosynthesis in Fusarium Fujikuroi
microorganisms Article Controlled Transcription of Regulator Gene carS by Tet-on or by a Strong Promoter Confirms Its Role as a Repressor of Carotenoid Biosynthesis in Fusarium fujikuroi Julia Marente , Javier Avalos and M. Carmen Limón * Department of Genetics, Faculty of Biology, University of Seville, 41012 Seville, Spain; [email protected] (J.M.); [email protected] (J.A.) * Correspondence: [email protected]; Tel.: +34-954-555-947 Abstract: Carotenoid biosynthesis is a frequent trait in fungi. In the ascomycete Fusarium fujikuroi, the synthesis of the carboxylic xanthophyll neurosporaxanthin (NX) is stimulated by light. However, the mutants of the carS gene, encoding a protein of the RING finger family, accumulate large NX amounts regardless of illumination, indicating the role of CarS as a negative regulator. To confirm CarS function, we used the Tet-on system to control carS expression in this fungus. The system was first set up with a reporter mluc gene, which showed a positive correlation between the inducer doxycycline and luminescence. Once the system was improved, the carS gene was expressed using Tet-on in the wild strain and in a carS mutant. In both cases, increased carS transcription provoked a downregulation of the structural genes of the pathway and albino phenotypes even under light. Similarly, when the carS gene was constitutively overexpressed under the control of a gpdA promoter, total downregulation of the NX pathway was observed. The results confirmed the role of CarS as a repressor of carotenogenesis in F. fujikuroi and revealed that its expression must be regulated in the wild strain to allow appropriate NX biosynthesis in response to illumination. -
Transcriptional Regulation of Cancer Immune Checkpoints: Emerging Strategies for Immunotherapy
Review Transcriptional Regulation of Cancer Immune Checkpoints: Emerging Strategies for Immunotherapy Simran Venkatraman 1 , Jarek Meller 2,3, Suradej Hongeng 4, Rutaiwan Tohtong 1,5,* and Somchai Chutipongtanate 6,7,* 1 Graduate Program in Molecular Medicine, Faculty of Science Joint Program Faculty of Medicine Ramathibodi Hospital, Faculty of Medicine Siriraj Hospital, Faculty of Dentistry, Faculty of Tropical Medicine, Mahidol University, Bangkok 10400, Thailand; [email protected] 2 Departments of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA; [email protected] 3 Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH 45267, USA 4 Division of Hematology and Oncology, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand; [email protected] 5 Department of Biochemistry, Faculty of Science, Mahidol University, Bangkok 10400, Thailand 6 Pediatric Translational Research Unit, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand 7 Department of Clinical Epidemiology and Biostatistics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok 10400, Thailand * Correspondence: [email protected] (R.T.); [email protected] (S.C.) Received: 30 October 2020; Accepted: 2 December 2020; Published: 4 December 2020 Abstract: The study of immune evasion has gained a well-deserved eminence in cancer research by successfully developing a new class of therapeutics, immune checkpoint inhibitors, such as pembrolizumab and nivolumab, anti-PD-1 antibodies. By aiming at the immune checkpoint blockade (ICB), these new therapeutics have advanced cancer treatment with notable increases in overall survival and tumor remission. -
Regulatory Region of the Heat Shock-Inducible Capr (Lon) Gene: DNA and Protein Sequences
JOURNAL OF BACTERIOLOGY, Apr. 1985, p. 271-275 Vol. 162, No. 1 0021-9193/85/040271-05$02.00/0 Copyright© 1985, American Society for Microbiology Regulatory Region of the Heat Shock-Inducible capR (Lon) Gene: DNA and Protein Sequences RANDALL C. GAYDA,1t PAUL E. STEPHENS,2 RODNEY HEWICK,3; JOYCE M. SCHOEMAKER,2§ WILLIAM J. DREYER,3 AND ALVIN MARKOVITzt. Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois 606371,- Department of Molecular Genetics, Celltech Ltd., Slough SLJ 4DY, Englan~; and Division of Biology, California Institute of Technology, Pasadena, California 911093 Received 22 August 1984/Accepted 4 January 1985 The CapR protein is an ATP hydrolysis-dependent protease as well as a DNA-stimulated ATPase and a nucleic acid-binding PI.'Otein. The sequences of the 5' end of the capR (ion) gene DNA and N-terminal end of the CapR protein were determined. The sequence of DNA that specifies the N-terminal portion of the CapR protein was identified by comparing the amino acid sequence of the CapR protein with the sequence predicted from the DNA. The DNA and protein sequences established that the mature protein is not processed from a precursor form. No sequence corresponding to an SOS box was found in the 5' sequence of DNA. There were sequences that corresponded to a putative -35 and -10 region for RNA polymerase binding. The capR (ion) gene was recently identified as one Qf 17 heat shock genes in Escherichia coli that are positively regulated by the product of the htpR gene. A comparison of the 5' DNA region of the capR gene with that of several other heat shock genes revealed possible consensus sequences. -
Adenovirus-Mediated Gene Transfer of P16INK4/CDKN2 Into Bax-Negative
Cancer Gene Therapy (2002) 9, 641 – 650 D 2002 Nature Publishing Group All rights reserved 0929-1903/02 $25.00 www.nature.com/cgt Adenovirus-mediated gene transfer of P16INK4/CDKN2 into bax-negative colon cancer cells induces apoptosis and tumor regression in vivo Ingo Tamm,1,2 Axel Schumacher,3 Leonid Karawajew,2 Velia Ruppert,2 Wolfgang Arnold,4 Andreas K Nu¨ssler,5 Peter Neuhaus,5 Bernd Do¨rken,1,2 and Gerhard Wolff 2,4 1Department of Hematology and Oncology, Charite´, Campus Virchow, Humboldt University of Berlin, Berlin, Germany; 2Department of Hematology, Oncology and Tumor Immunology, Robert-Ro¨ssle-Klinik, University Medical Center Charite´, Humboldt University of Berlin, Berlin, Germany; 3Department of Cell Biology, Institute of Biology, Humboldt University of Berlin, Berlin, Germany; 4Max Delbru¨ck Center for Molecular Medicine, Berlin, Germany; and 5Department of General, Visceral, and Transplantation Surgery, Charite´, Campus Virchow, Humboldt University of Berlin, Berlin, Germany. The tumor-suppressor gene p16INK4/CDKN2 (p16) is a cyclin-dependent kinase (cdk) inhibitor and important cell cycle regulator. Here, we show that adenovirus-mediated gene transfer of p16 (AdCMV.p16) into colon cancer cells induces uncoupling of S phase and mitosis and subsequently apoptosis. Flow cytometric analysis revealed that cells infected with AdCMV.p16 showed an initial G2-like arrest followed by S phase without intervening mitosis (DNA >4N). Using microscopic analysis, deformed polyploid cells were detectable only in cells infected with AdCMV.p16 but not in control-infected cells. Subsequently, AdCMV.p16-infected polyploid cells underwent apoptosis, as assessed by AnnexinV staining and DNA fragmentation, suggesting that cell cycle dysregulation is upstream of the onset of apoptosis. -
Functional Analysis of Structural Variation in the 2D and 3D Human Genome
FUNCTIONAL ANALYSIS OF STRUCTURAL VARIATION IN THE 2D AND 3D HUMAN GENOME by Conor Mitchell Liam Nodzak A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Bioinformatics and Computational Biology Charlotte 2019 Approved by: Dr. Xinghua Mindy Shi Dr. Rebekah Rogers Dr. Jun-tao Guo Dr. Adam Reitzel ii c 2019 Conor Mitchell Liam Nodzak ALL RIGHTS RESERVED iii ABSTRACT CONOR MITCHELL LIAM NODZAK. Functional analysis of structural variation in the 2D and 3D human genome. (Under the direction of DR. XINGHUA MINDY SHI) The human genome consists of over 3 billion nucleotides that have an average distance of 3.4 Angstroms between each base, which equates to over two meters of DNA contained within the 125 µm3 volume diploid cell nuclei. The dense compaction of chromatin by the supercoiling of DNA forms distinct architectural modules called topologically associated domains (TADs), which keep protein-coding genes, noncoding RNAs and epigenetic regulatory elements in close nuclear space. It has recently been shown that these conserved chromatin structures may contribute to tissue-specific gene expression through the encapsulation of genes and cis-regulatory elements, and mutations that affect TADs can lead to developmental disorders and some forms of cancer. At the population-level, genomic structural variation contributes more to cumulative genetic difference than any other class of mutation, yet much remains to be studied as to how structural variation affects TADs. Here, we study the func- tional effects of structural variants (SVs) through the analysis of chromatin topology and gene activity for three trio families sampled from genetically diverse popula- tions from the Human Genome Structural Variation Consortium. -
Functional Annotation of Genes Overlapping Copy Number Variants in Autistic Patients: Focus on Axon Pathfinding
136 Current Genomics, 2010, 11, 136-145 Functional Annotation of Genes Overlapping Copy Number Variants in Autistic Patients: Focus on Axon Pathfinding Silvia Sbacchi1, Francesco Acquadro2, Ignazio Calò1, Francesco Calì3 and Valentino Romano*,1,3 1Dipartimento di Oncologia Sperimentale e Applicazioni Cliniche, Università degli Studi di Palermo, Palermo; 2Molecular Cytogenetics Group, Centro Nacional de Investigaciones Oncologicas (C.N.I.O.), and Centro de Investiga- ciones de Enfermidades Raras (CIBERER), Madrid, Spain; 3Associazione Oasi Maria SS. (I.R.C.C.S.), Troina (EN), Italy Abstract: We have used Gene Ontology (GO) and pathway analyses to uncover the common functions associated to the genes overlapping Copy Number Variants (CNVs) in autistic patients. Our source of data were four published studies [1- 4]. We first applied a two-step enrichment strategy for autism-specific genes. We fished out from the four mentioned stud- ies a list of 2928 genes overall overlapping 328 CNVs in patients and we first selected a sub-group of 2044 genes after excluding those ones that are also involved in CNVs reported in the Database of Genomic Variants (enrichment step 1). We then selected from the step 1-enriched list a sub-group of 514 genes each of which was found to be deleted or dupli- cated in at least two patients (enrichment step 2). The number of statistically significant processes and pathways identified by the Database for Annotation, Visualization and Integrated Discovery and Ingenuity Pathways Analysis softwares with the step 2-enriched list was significantly higher compared to the step 1-enriched list. In addition, statistically significant GO terms, biofunctions and pathways related to nervous system development and function were exclusively identified by the step 2-enriched list of genes. -
Negative Feedback Through Mrna Provides the Best Control of Gene-Expression Noise
IEEE TRANSACTIONS ON NANOBIOSCIENCE 1 Negative feedback through mRNA provides the best control of gene-expression noise Abhyudai Singh Member, IEEE Abstract—Genetically identical cell populations exposed to the same environment can exhibit considerable cell-to-cell variation in the levels of specific proteins. This variation or expression noise arises from the inherent stochastic nature of biochemical reactions that constitute gene-expression. Negative feedback loops are common motifs in gene networks that reduce expression noise and intercellular variability in protein levels. Using stochastic models of gene expression we here compare different feedback architectures in their ability to reduce stochasticity in protein levels. A mathematically controlled comparison shows that in physiologically relevant parameter regimes, feedback regulation through the mRNA provides the best suppression of expression noise. Consistent with our theoretical results we find negative feedback loops though the mRNA in essential eukaryotic genes, where feedback is mediated via intron-derived microRNAs. Finally, we find that contrary to previous results, protein mediated translational regulation may not always provide significantly better noise suppression than protein mediated transcriptional regulation. Index Terms—Gene-expression noise, negative feedback, noise suppression, microRNAs, linear noise approximation ! Protein 1 INTRODUCTION He inherent probabilistic nature of biochemical re- T actions that constitute gene-expression together with II Translation low copy numbers of mRNAs can lead to large stochastic IV fluctuations in protein levels [1], [2], [3]. Intercellular I variability in protein levels generated by these stochastic mRNA fluctuations is often referred to as gene-expression noise. III Increasing evidence suggests that gene-expression noise Transcription can be detrimental for the functioning of essential and housekeeping proteins whose levels have to be tightly maintained within certain bounds for optimal performance Promoter Gene [4], [5], [6]. -
The Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease
University of Groningen Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease van der Harst, Pim; Verweij, Niek Published in: Circulation research DOI: 10.1161/CIRCRESAHA.117.312086 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2018 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): van der Harst, P., & Verweij, N. (2018). Identification of 64 Novel Genetic Loci Provides an Expanded View on the Genetic Architecture of Coronary Artery Disease. Circulation research, 122(3), 433-443. https://doi.org/10.1161/CIRCRESAHA.117.312086 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). The publication may also be distributed here under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license. More information can be found on the University of Groningen website: https://www.rug.nl/library/open-access/self-archiving-pure/taverne- amendment. Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. -
Enhancers, Enhancers – from Their Discovery to Today’S Universe of Transcription Enhancers
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by RERO DOC Digital Library Biol. Chem. 2015; 396(4): 311–327 Review Walter Schaffner* Enhancers, enhancers – from their discovery to today’s universe of transcription enhancers Abstract: Transcriptional enhancers are short (200–1500 one had ever postulated their existence, simply because base pairs) DNA segments that are able to dramatically there seemed to be no need for them. Now that introns boost transcription from the promoter of a target gene. and enhancers are part of the scientific world, one cannot Originally discovered in simian virus 40 (SV40), a small imagine how higher forms of life could ever have evolved DNA virus, transcription enhancers were soon also found without the multitude of tailored proteins that can be in immunoglobulin genes and other cellular genes as produced by alternative splicing, or without the sophisti- key determinants of cell-type-specific gene expression. cated patterns of remote transcription control by enhanc- Enhancers can exert their effect over long distances of ers. Indeed, the complexity of an organism is primarily thousands, even hundreds of thousands of base pairs, determined by the variety of gene regulation mechanisms, either from upstream, downstream, or from within a tran- rather than by the number of genes. scription unit. The number of enhancers in eukaryotic genomes correlates with the complexity of the organism; a typical mammalian gene is likely controlled by several enhancers to fine-tune its expression at different devel- The holy grail opmental stages, in different cell types and in response In the fall of 1978, I returned to Zurich University from to different signaling cues. -
Stress-Induced Expression of the Escherichia Coli Phage Shock Protein Operon Is D,E P Endent on 0 -54 and Modulated by Positive and Negative Feedback Mechanisms
Downloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Stress-induced expression of the Escherichia coli phage shock protein operon is d,e p endent on 0 -54 and modulated by positive and negative feedback mechanisms Lorin Weiner, Janice L. Brissette, 1 and Peter Model z The Rockefeller University, New York, New York 10021 USA The phage shock protein (psp) operon of Escherichia coli is strongly induced in response to heat, ethanol, osmotic shock, and infection by filamentous bacteriophages. The operon contains at least four genes--pspA, pspB, pspC, and pspE--and is regulated at the transcriptional level. We report here that psp expression is controlled by a network of positive and negative regulatory factors and that transcription in response to all inducing agents is directed by the or-factor r s4. Negative regulation is mediated by both PspA and the r heat shock proteins. The PspB and PspC proteins cooperatively activate expression, possibly by antagonizing the PspA-controlled repression. The strength of this activation is determined primarily by the concentration of PspC, whereas PspB enhances but is not absolutely essential for PspC-dependent expression. PspC is predicted to contain a leucine zipper, a motif responsible for the dimerization of many eukaryotic transcriptional activators. PspB and PspC, though not necessary for psp expression during heat shock, are required for the strong psp response to phage infection, osmotic shock, and ethanol treatment. The psp operon thus represents a third category of transcriptional control mechanisms, in addition to the r 32- and erE-dependent systems, for genes induced by heat and other stresses. -
Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Asz1 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Asz1 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Asz1 gene (NCBI Reference Sequence: NM_023729 ; Ensembl: ENSMUSG00000010796 ) is located on Mouse chromosome 6. 13 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 13 (Transcript: ENSMUST00000010940). Exon 3~4 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Asz1 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-39F14 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: Homozygous null male mice are sterile resulting from a block in spermatid development. Exon 3 starts from about 14.46% of the coding region. The knockout of Exon 3~4 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 3504 bp, and the size of intron 4 for 3'-loxP site insertion: 26235 bp. The size of effective cKO region: ~1899 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 5' gRNA region gRNA region 3' 1 3 4 13 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Asz1 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.