Towards a Synthetic Cell Cycle
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Analysis of 3D Genomic Interactions Identifies Candidate Host Genes That Transposable Elements Potentially Regulate Ramya Raviram1,2,3†, Pedro P
Raviram et al. Genome Biology (2018) 19:216 https://doi.org/10.1186/s13059-018-1598-7 RESEARCH Open Access Analysis of 3D genomic interactions identifies candidate host genes that transposable elements potentially regulate Ramya Raviram1,2,3†, Pedro P. Rocha1,4†, Vincent M. Luo1,2, Emily Swanzey5, Emily R. Miraldi2,6,7,8, Edward B. Chuong9, Cédric Feschotte10, Richard Bonneau2,6,7 and Jane A. Skok1* Abstract Background: The organization of chromatin in the nucleus plays an essential role in gene regulation. About half of the mammalian genome comprises transposable elements. Given their repetitive nature, reads associated with these elements are generally discarded or randomly distributed among elements of the same type in genome-wide analyses. Thus, it is challenging to identify the activities and properties of individual transposons. As a result, we only have a partial understanding of how transposons contribute to chromatin folding and how they impact gene regulation. Results: Using PCR and Capture-based chromosome conformation capture (3C) approaches, collectively called 4Tran, we take advantage of the repetitive nature of transposons to capture interactions from multiple copies of endogenous retrovirus (ERVs) in the human and mouse genomes. With 4Tran-PCR, reads are selectively mapped to unique regions in the genome. This enables the identification of transposable element interaction profiles for individual ERV families and integration events specific to particular genomes. With this approach, we demonstrate that transposons engage in long-range intra-chromosomal interactions guided by the separation of chromosomes into A and B compartments as well as topologically associated domains (TADs). In contrast to 4Tran-PCR, Capture-4Tran can uniquely identify both ends of an interaction that involve retroviral repeat sequences, providing a powerful tool for uncovering the individual transposable element insertions that interact with and potentially regulate target genes. -
Reverse Transcriptase Activity Innate to DNA Polymerase I and DNA
Reverse transcriptase activity innate to DNA SEE COMMENTARY polymerase I and DNA topoisomerase I proteins of Streptomyces telomere complex Kai Bao*† and Stanley N. Cohen*‡§ Departments of *Genetics and ‡Medicine, Stanford University School of Medicine, Stanford, CA 94305-5120 Edited by Nicholas R. Cozzarelli, University of California, Berkeley, CA, and approved August 10, 2004 (received for review June 18, 2004) Replication of Streptomyces linear chromosomes and plasmids gation and, remarkably, that both of these eubacterial enzymes -proceeds bidirectionally from a central origin, leaving recessed 5 can function efficiently as RTs in addition to having the bio termini that are extended by a telomere binding complex. This chemical properties predicted from their sequences. We further complex contains both a telomere-protecting terminal protein show that the Streptomyces coelicolor and Streptomyces lividans (Tpg) and a telomere-associated protein that interacts with Tpg TopA proteins are prototypes for a subfamily of bacterial and the DNA ends of linear Streptomyces replicons. By using topoisomerases whose catalytic domains contain a unique Asp– histidine-tagged telomere-associated protein (Tap) as a scaffold, Asp doublet motif that is required for their RT activity and which we identified DNA polymerase (PolA) and topoisomerase I (TopA) is essential also to the RNA-dependent DNA polymerase func- proteins as other components of the Streptomyces telomere com- tions of HIV RT and eukaryotic cell telomerases (16, 17). plex. Biochemical characterization of these proteins indicated that both PolA and TopA exhibit highly efficient reverse transcriptase Materials and Methods (RT) activity in addition to their predicted functions. Although RT Plasmid and Bacterial Strains. -
Development of Adenoviral Vectors for Monitoring Telomerase Activity in Living Cells
Development of adenoviral vectors for monitoring telomerase activity in living cells Edqvist, Anna 2007 Link to publication Citation for published version (APA): Edqvist, A. (2007). Development of adenoviral vectors for monitoring telomerase activity in living cells. Genetics. Total number of authors: 1 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ 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. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 Download date: 05. Oct. 2021 DEVELOPMENT OF ADENOVIRAL VECTORS FOR MONITORING TELOMERASE ACTIVITY IN LIVING CELLS ANNA HELENA EDQVIST 2007 DEPARTMENT OF CELL AND ORGANISM BIOLOGY LUND UNIVERSITY SWEDEN A doctoral thesis at a university in Sweden is produced either as a monograph or as a collection of papers. In the latter case, the introductory part constitutes the formal thesis, which summarises the accompanying papers. -
Microorganisms
microorganisms Review Rules and Exceptions: The Role of Chromosomal ParB in DNA Segregation and Other Cellular Processes Adam Kawalek y , Pawel Wawrzyniak y, Aneta Agnieszka Bartosik and Grazyna Jagura-Burdzy * Department of Microbial Biochemistry, Institute of Biochemistry and Biophysics, Polish Academy of Sciences, Pawi´nskiego5a, 02-106 Warsaw, Poland; [email protected] (A.K.); [email protected] (P.W.); [email protected] (A.A.B.) * Correspondence: [email protected]; Tel.: +48-225921212 These authors contributed equally to this work. y Received: 4 December 2019; Accepted: 9 January 2020; Published: 11 January 2020 Abstract: The segregation of newly replicated chromosomes in bacterial cells is a highly coordinated spatiotemporal process. In the majority of bacterial species, a tripartite ParAB-parS system, composed of an ATPase (ParA), a DNA-binding protein (ParB), and its target(s) parS sequence(s), facilitates the initial steps of chromosome partitioning. ParB nucleates around parS(s) located in the vicinity of newly replicated oriCs to form large nucleoprotein complexes, which are subsequently relocated by ParA to distal cellular compartments. In this review, we describe the role of ParB in various processes within bacterial cells, pointing out interspecies differences. We outline recent progress in understanding the ParB nucleoprotein complex formation and its role in DNA segregation, including ori positioning and anchoring, DNA condensation, and loading of the structural maintenance of chromosome (SMC) proteins. The auxiliary roles of ParBs in the control of chromosome replication initiation and cell division, as well as the regulation of gene expression, are discussed. Moreover, we catalog ParB interacting proteins. -
Telomere-Loop Dynamics in Chromosome End Protection
bioRxiv preprint doi: https://doi.org/10.1101/279877; this version posted March 9, 2018. 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. Telomere-loop dynamics in chromosome end protection David Van Ly1,2, Ronnie Ren Jie Low1,6, Sonja Frölich1,7, Tara K. Bartolec1,8, Georgia R. Kafer1, Hilda A. Pickett3, Katharina Gaus4,5, and Anthony J. Cesare1,9*. 1Genome Integrity Unit, Children’s Medical Research Institute, University of Sydney, Westmead, New South Wales 2145, Australia. 2 School of Medicine, The University of Notre Dame Australia, Sydney, New South Wales 2010, Australia. 3Telomere Length Regulation Unit, Children’s Medical Research Institute, University of Sydney, Westmead, New South Wales 2145, Australia. 4EMBL Australia Node in Single Molecule Science, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia. 5ARC Centre of Excellence in Advanced Molecular Imaging, University of New South Wales, Sydney, NSW 2052, Australia. 6Current affiliation: The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia 7Current affiliation: Robinson Research Institute, School of Medicine, University of Adelaide, Adelaide, South Australia 5005, Australia. 8Current affiliation: School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, New South Wales, 2052, Australia 9Lead contact *Correspondence: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/279877; this version posted March 9, 2018. 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. -
Generating a Synthetic Genome by Whole Genome Assembly: X174 Bacteriophage from Synthetic Oligonucleotides
Generating a synthetic genome by whole genome assembly: X174 bacteriophage from synthetic oligonucleotides Hamilton O. Smith, Clyde A. Hutchison III†, Cynthia Pfannkoch, and J. Craig Venter‡ Institute for Biological Energy Alternatives, 1901 Research Boulevard, Suite 600, Rockville, MD 20850 Contributed by J. Craig Venter, November 3, 2003 We have improved upon the methodology and dramatically short- truncated species. Although such oligonucleotides are highly ened the time required for accurate assembly of 5- to 6-kb seg- useful as primers for PCR amplification and DNA sequencing, ments of DNA from synthetic oligonucleotides. As a test of this only small (a few hundred base pairs) synthetic genes can methodology, we have established conditions for the rapid (14- generally be accurately and directly synthesized without multiple day) assembly of the complete infectious genome of bacteriophage repair͞selection steps. For example, the recent report (9) of the X174 (5,386 bp) from a single pool of chemically synthesized assembly of a partially active poliovirus from cloned synthetic oligonucleotides. The procedure involves three key steps: (i) gel segments of DNA from which polio genomic RNA (7,440 bases) purification of pooled oligonucleotides to reduce contamination could be transcribed was quite complex and took many months with molecules of incorrect chain length, (ii) ligation of the oligo- to accomplish. First, segments 400–600 bp long were individually nucleotides under stringent annealing conditions (55°C) to select assembled and cloned, and 5–15 isolates of each were sequenced against annealing of molecules with incorrect sequences, and (iii) to find one that was correct or readily correctable by oligonu- assembly of ligation products into full-length genomes by poly- cleotide mutagenesis. -
The NIH Catalyst from the Deputy Director for Intramural Research
— Fostering Communication and Collaboration The nihCatalyst A Publication fob NIH Intramural Scientists National Institutes of Health i Office of the Director Volume 8, Issue 6 November-December 2000 NIH Research Festival Translational Research Running with the Genome: Jean Li d Cadet: NIH Gets To Work with the ‘Working Draft’ A Bridge at NIDA by Cynthia Delgado by Fran Pollner he “working draft” se- r ean Lud Cadet is equally at home quence of the human I upstairs and downstairs in the genome, delivered to building that houses the NIDA in- T | the desktops of the biomedi- Jamural research program at the cal community this summer, Johns Hopkins University Bayview may become the most “dog- campus in Baltimore. eared” work-in-progress the On the fourth floor, Cadet runs the world has ever known. four labs that make up the Molecu- Unlike the first draft of a lar Neuropsychiatry Unit, of which medical text that requires cor- he is chief; and on the first floor, he rections and updates before directs NIDA’s clinical research pro- it is finally printed, the gram, overseeing the inpatient re- genome’s first draft is out search unit, the outpatient research there, and some NIH investi- program, an adolescent clinic that fo- gators are using it to make cuses on smoking new discoveries while oth- cessation, and the — ers are arranging the data to 70 currently active make the material even more clinical protocols meaningful as a resource to all of which are the research community. strategic use of the HGP’s data aided conducted on-site. -
Robust Measurement of Telomere Length in Single Cells PNAS PLUS
Robust measurement of telomere length in single cells PNAS PLUS Fang Wanga,b, Xinghua Panc,1, Keri Kalmbacha, Michelle L. Seth-Smitha, Xiaoying Yeb, Danielle M. F. Antumesa,d,e, Yu Yinb, Lin Liub,1, David L. Keefea,1, and Sherman M. Weissmanc,1 aDepartment of Obstetrics and Gynecology, New York University Langone Medical Center, NY 10016; bState Key Laboratory of Medicinal Chemical Biology, College of Life Sciences, Nankai University, Tianjin 300071, China; cDepartment of Genetics, Yale University School of Medicine, New Haven, CT 06520-8005; dDepartment of Pathology, Fluminense Federal University, 24033-900, Rio de Janeiro, Brazil; and eCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES) Foundation, Ministry of Education of Brazil, 70040-020, Brasilia, Brazil Contributed by Sherman M. Weissman, April 9, 2013 (sent for review February 5, 2013) Measurement of telomere length currently requires a large popula- length for a given cell population (10–12). High-throughput tion of cells, which masks telomere length heterogeneity in single Q-FISH, flow FISH, and single telomere length analysis can be used cells, or requires FISH in metaphase arrested cells, posing technical for telomere measurement of dividing, nondividing, and senescent challenges. A practical method for measuring telomere length in cells, but these methods also require large cell populations (13–15). single cells has been lacking. We established a simple and robust The ability to measure telomere length in single cells rather approach for single-cell telomere length measurement (SCT-pqPCR). than relying upon average telomere length in cell populations or We first optimized a multiplex preamplification specific for telo- the entire tissue enables the study of biological heterogeneity on meres and reference genes from individual cells, such that the ampli- a cell-by-cell basis, an issue of fundamental importance for studies con provides a consistent ratio (T/R) of telomeres (T) to the reference of aging, development, carcinogenesis, and many other diseases. -
DNA Viral Genomes • As Small As 1300 Nt in Length Ssrna Viral Genomes • Smallest Sequenced Genome = 2300 Nt • Largest = 31,000 Nt
Viral Genome Organization All biological organisms have a genome • The genome can be either DNA or RNA • Encode functions necessary o to complete its life cycle o interact with the environments Variation • Common feature when comparing genomes Genome sequencing projects • Uncovering many unique features • These were previously known. General Features of Viruses Over 4000 viruses have been described • Classified into 71 taxa • Some are smaller than a ribosome Smallest genomes • But exhibit great variation Major classifications • DNA vs RNA Sub classifications • Single-stranded vs. double-stranded Segments • Monopartitie vs. multipartite ssRNA virus classifications • RNA strand found in the viron o positive (+) strand . most multipartite o negative (-) strand . many are multipartite Virus replication by • DNA viruses o DNA polymerase . Small genomes • Host encoded . Large genomes • Viral encoded • RNA viruses o RNA-dependent RNA polymerase o Reverse transcriptase (retroviruses) Genome sizes • DNA viruses larger than RNA viruses ss viruses smaller than ds viruses • Hypothesis • ss nucleic acids more fragile than ds nucleic • drove evolution toward smaller ss genomes Examples: ssDNA viral genomes • As small as 1300 nt in length ssRNA viral genomes • Smallest sequenced genome = 2300 nt • Largest = 31,000 nt Mutations • RNA is more susceptible to mutation during transcription than DNA during replication • Another driving force to small RNA viral genomes Largest genome • DNA virus • Paramecium bursaria Chlorella virus 1 o dsDNA o 305,107 nt o 698 proteins Table 1. General features of sequenced viral genomes. The data was collected from NCBI (http://www.ncbi.nlm.nih.gov/genomes/VIRUSES/viruses.html) and represents the October 13, 2014 release from NCBI. -
Commissioned Papers Synthetic Genomics: Risks and Benefits For
Commissioned Papers Synthetic Genomics: Risks and Benefits for Science and Society This volume of papers accompanies the report Synthetic Genomics: Options for Governance Synthetic Genomics: Risks and Benefits for Science and Society (this page blank) Synthetic Genomics: Risks and Benefits for Science and Society COMMISSIONED PAPERS TABLE OF CONTENTS Robert Jones Sequence Screening……………………………………………………………...……1-16 Yogesh Sanghvi A Roadmap to the Assembly of Synthetic DNA from Raw Materials……..………….17-33 Ralph S. Baric Synthetic Viral Genomics…………………………………………………………….35-81 Marc S. Collett Impact of Synthetic Genomics on the Threat of Bioterrorism with Viral Agents..………………………………………………………………………..83-103 Diane O. Fleming Risk Assessment of Synthetic Genomics: A Biosafety and Biosecurity Perspective………………………...………………………………….105-164 Franco Furger From Genetically Modified Organisms to Synthetic Biology: Legislation in the European Union, in Six Member Countries, and in Switzerland…………………………………………………………..……..165-184 Synthetic Genomics: Risks and Benefits for Science and Society (this page blank) Synthetic Genomics: Risks and Benefits for Science and Society The following papers were commissioned for the project Synthetic Genomics: Risks and Benefits for Science and Society. These papers formed the basis of many discussions at project workshops and at a large invitational meeting. The information elicited from these meetings, and from the commissioned papers themselves, formed the basis of our report Synthetic Genomics: Options for Governance (http://dspace.mit.edu/handle/1721.1/39141). The views and opinions expressed in these commissioned papers are those of the authors of the papers and not necessarily those of the authors of the report, or of the institutions at which the authors work. Citation: Working Papers for Synthetic Genomics: Risks and Benefits for Science and Society. -
Cshperspect-MEV-A018168 1..17
Downloaded from http://cshperspectives.cshlp.org/ on October 3, 2021 - Published by Cold Spring Harbor Laboratory Press Coevolution of the Organization and Structure of Prokaryotic Genomes Marie Touchon1,2 and Eduardo P.C. Rocha1,2 1Microbial Evolutionary Genomics, Institut Pasteur, 75015 Paris, France 2CNRS, UMR3525, 75015 Paris, France Correspondence: [email protected] The cytoplasm of prokaryotes contains many molecular machines interacting directly with the chromosome. These vital interactions depend on the chromosome structure, as a mole- cule, and on the genome organization, as a unit of genetic information. Strong selection for the organization of the genetic elements implicated in these interactions drives replicon ploidy, gene distribution, operon conservation, and the formation of replication-associated traits. The genomes of prokaryotes are also very plastic with high rates of horizontal gene transfer and gene loss. The evolutionary conflicts between plasticity and organization lead to the formation of regions with high genetic diversity whose impact on chromosome structure is poorly understood. Prokaryotic genomes are remarkable documents of natural history because they carry the imprint of all of these selective and mutational forces. Their study allows a better understanding of molecular mechanisms, their impact on microbial evolu- tion, and how they can be tinkered in synthetic biology. rokaryotic cells typically lack a clear physi- nus in the cell. As replication proceeds, DNA Pcal separation between DNA and the cyto- regions are under different states of replication plasm. The cell is therefore a complex network and are being segregated in function of the of genetic and biochemical interactions involv- growing multiple division septa. Hence, repli- ing the DNA molecules and many cellular pro- cation, segregation, and cell doubling are tightly cesses. -
Industrially Robust Synthetic Biology Standards for the Polymerase Chain Reaction
Alexander Templar EngD Thesis Industrially Robust Synthetic Biology Standards for the Polymerase Chain Reaction A thesis submitted to the University College London for the degree of ENGINEERING DOCTORATE by Alexander Templar BSc MRes 2017 Advanced Centre of Biochemical Engineering Department of Biochemical Engineering University College London Torrington Place London WC1E 7JE Alexander Templar EngD Thesis Table of Contents Abstract ................................................................................................................................... 11 Thesis Declaration .................................................................................................................. 12 Acknowledgements ................................................................................................................. 13 Nomenclature.......................................................................................................................... 14 List of Figures ......................................................................................................................... 18 List of Tables .......................................................................................................................... 21 1 General Introduction ....................................................................................................... 1 1.1 Introduction to synthetic biology and standardisation........................................ 1 1.2 The quantitative polymerase chain reaction ......................................................