Literature DB >> 15090651

A modular minimal cell model: purine and pyrimidine transport and metabolism.

M Castellanos1, D B Wilson, M L Shuler.   

Abstract

A more complete understanding of the relationship of cell physiology to genomic structure is desirable. Because of the intrinsic complexity of biological organisms, only the simplest cells will allow complete definition of all components and their interactions. The theoretical and experimental construction of a minimal cell has been suggested as a tool to develop such an understanding. Our ultimate goal is to convert a "coarse-grain" lumped parameter computer model of Escherichia coli into a genetically and chemically detailed model of a "minimal cell." The base E. coli model has been converted into a generalized model of a heterotrophic bacterium. This coarse-grain minimal cell model is functionally complete, with growth rate, composition, division, and changes in cell morphology as natural outputs from dynamic simulations where only the initial composition of the cell and of the medium are specified. A coarse-grain model uses pseudochemical species (or modules) that are aggregates of distinct chemical species that share similar chemistry and metabolic dynamics. This model provides a framework in which these modules can be "delumped" into chemical and genetic descriptions while maintaining connectivity to all other functional elements. Here we demonstrate that a detailed description of nucleotide precursors transport and metabolism is successfully integrated into the whole-cell model. This nucleotide submodel requires fewer (12) genes than other theoretical predictions in minimal cells. The demonstration of modularity suggests the possibility of developing modules in parallel and recombining them into a fully functional chemically and genetically detailed model of a prokaryote cell.

Entities:  

Mesh:

Substances:

Year:  2004        PMID: 15090651      PMCID: PMC404105          DOI: 10.1073/pnas.0400962101

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  70 in total

1.  CHEMICAL COMPOSITION OF MYCOPLASMA CELLS AND MEMBRANES.

Authors:  S RAZIN; M ARGAMAN; J AVIGAN
Journal:  J Gen Microbiol       Date:  1963-12

2.  Analysis of the regulatory region of the Escherichia coli nupG gene, encoding a nucleoside-transport protein.

Authors:  A Munch-Petersen; N Jensen
Journal:  Eur J Biochem       Date:  1990-07-05

3.  Global transposon mutagenesis and a minimal Mycoplasma genome.

Authors:  C A Hutchison; S N Peterson; S R Gill; R T Cline; O White; C M Fraser; H O Smith; J C Venter
Journal:  Science       Date:  1999-12-10       Impact factor: 47.728

4.  Structured model of genetic control via the lac promoter in Escherichia coli.

Authors:  L Laffend; M L Shuler
Journal:  Biotechnol Bioeng       Date:  1994-03-05       Impact factor: 4.530

5.  A structured, segregated model for genetically modified Escherichia coli cells and its use for prediction of plasmid stability.

Authors:  B G Kim; M L Shuler
Journal:  Biotechnol Bioeng       Date:  1990-09       Impact factor: 4.530

6.  Lethality of a dut (deoxyuridine triphosphatase) mutation in Escherichia coli.

Authors:  H H el-Hajj; H Zhang; B Weiss
Journal:  J Bacteriol       Date:  1988-03       Impact factor: 3.490

7.  Kinetic mechanism of uracil phosphoribosyltransferase from Escherichia coli and catalytic importance of the conserved proline in the PRPP binding site.

Authors:  C Lundegaard; K F Jensen
Journal:  Biochemistry       Date:  1999-03-16       Impact factor: 3.162

8.  EcoCyc: Encyclopedia of Escherichia coli genes and metabolism.

Authors:  P D Karp; M Riley; S M Paley; A Pellegrini-Toole; M Krummenacker
Journal:  Nucleic Acids Res       Date:  1998-01-01       Impact factor: 16.971

9.  CMP kinase from Escherichia coli is structurally related to other nucleoside monophosphate kinases.

Authors:  N Bucurenci; H Sakamoto; P Briozzo; N Palibroda; L Serina; R S Sarfati; G Labesse; G Briand; A Danchin; O Bărzu; A M Gilles
Journal:  J Biol Chem       Date:  1996-02-02       Impact factor: 5.157

10.  dUTP pyrophosphatase is an essential enzyme in Saccharomyces cerevisiae.

Authors:  M H Gadsden; E M McIntosh; J C Game; P J Wilson; R H Haynes
Journal:  EMBO J       Date:  1993-11       Impact factor: 11.598

View more
  12 in total

1.  OptStrain: a computational framework for redesign of microbial production systems.

Authors:  Priti Pharkya; Anthony P Burgard; Costas D Maranas
Journal:  Genome Res       Date:  2004-11       Impact factor: 9.043

2.  Stochastic simulations of minimal self-reproducing cellular systems.

Authors:  Fabio Mavelli; Kepa Ruiz-Mirazo
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2007-10-29       Impact factor: 6.237

3.  A whole-cell computational model predicts phenotype from genotype.

Authors:  Jonathan R Karr; Jayodita C Sanghvi; Derek N Macklin; Miriam V Gutschow; Jared M Jacobs; Benjamin Bolival; Nacyra Assad-Garcia; John I Glass; Markus W Covert
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

4.  The dawn of virtual cell biology.

Authors:  Peter L Freddolino; Saeed Tavazoie
Journal:  Cell       Date:  2012-07-20       Impact factor: 41.582

Review 5.  Systems biology perspectives on minimal and simpler cells.

Authors:  Joana C Xavier; Kiran Raosaheb Patil; Isabel Rocha
Journal:  Microbiol Mol Biol Rev       Date:  2014-09       Impact factor: 11.056

6.  NMR-based metabolomics reveals the metabolite profiles of Vibrio parahaemolyticus under ferric iron stimulation.

Authors:  Jun Zhou; Chenyang Lu; Dijun Zhang; Chennv Ma; Xiurong Su
Journal:  J Microbiol       Date:  2017-07-28       Impact factor: 3.422

7.  Circadian clock helps cyanobacteria manage energy in coastal and high latitude ocean.

Authors:  Ferdi L Hellweger; Maria Luísa Jabbur; Carl Hirschie Johnson; Erik van Sebille; Hideharu Sasaki
Journal:  ISME J       Date:  2019-11-04       Impact factor: 10.302

8.  A novel proposal of a simplified bacterial gene set and the neo-construction of a general minimized metabolic network.

Authors:  Yuan-Nong Ye; Bin-Guang Ma; Chuan Dong; Hong Zhang; Ling-Ling Chen; Feng-Biao Guo
Journal:  Sci Rep       Date:  2016-10-07       Impact factor: 4.379

Review 9.  From Genes to Ecosystems in Microbiology: Modeling Approaches and the Importance of Individuality.

Authors:  Jan-Ulrich Kreft; Caroline M Plugge; Clara Prats; Johan H J Leveau; Weiwen Zhang; Ferdi L Hellweger
Journal:  Front Microbiol       Date:  2017-11-27       Impact factor: 5.640

10.  Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.

Authors:  Lucia Marucci; Matteo Barberis; Jonathan Karr; Oliver Ray; Paul R Race; Miguel de Souza Andrade; Claire Grierson; Stefan Andreas Hoffmann; Sophie Landon; Elibio Rech; Joshua Rees-Garbutt; Richard Seabrook; William Shaw; Christopher Woods
Journal:  Front Bioeng Biotechnol       Date:  2020-08-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.