T C Elston

Summary

Affiliation: North Carolina State University
Country: USA

Publications

  1. pmc Models of post-translational protein translocation
    T C Elston
    Biomathematics Graduate Program Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695 8203, USA
    Biophys J 79:2235-51. 2000
  2. ncbi request reprint A macroscopic description of biomolecular transport
    T C Elston
    Department of Statistics, North Carolina State University, Raleigh 27695 8203, USA
    J Math Biol 41:189-206. 2000
  3. pmc The brownian ratchet and power stroke models for posttranslational protein translocation into the endoplasmic reticulum
    Timothy C Elston
    Biomathematics Graduate Program Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695 8203, USA
    Biophys J 82:1239-53. 2002
  4. ncbi request reprint Variable-free exploration of stochastic models: a gene regulatory network example
    Radek Erban
    Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford, United Kingdom
    J Chem Phys 126:155103. 2007
  5. pmc Mathematical analysis and quantification of fluorescent proteins as transcriptional reporters
    Xiao Wang
    Department of Biomedical Engineering, Center for BioDynamics, Boston University, Boston, Massachusetts 02215, USA
    Biophys J 94:2017-26. 2008
  6. ncbi request reprint Mathematical modeling of RGS and G-protein regulation in yeast
    Necmettin Yildirim
    Department of Mathematics, University of North Carolina at Chapel Hill, 27599 3250, USA
    Methods Enzymol 389:383-98. 2004
  7. ncbi request reprint Fluctuations in transcription factor binding can explain the graded and binary responses observed in inducible gene expression
    Jason R Pirone
    Biomathematics Graduate Program and Department of Environmental and Molecular Toxicology, Campus Box 8203, North Carolina State University, Raleigh, NC 27695 8203, USA
    J Theor Biol 226:111-21. 2004
  8. pmc Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
    David Adalsteinsson
    Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 3250, USA
    BMC Bioinformatics 5:24. 2004
  9. pmc Kinetic insulation as an effective mechanism for achieving pathway specificity in intracellular signaling networks
    Marcelo Behar
    Department of Physics, University of North Carolina, Chapel Hill, NC 27599, USA
    Proc Natl Acad Sci U S A 104:16146-51. 2007
  10. pmc A pathway and genetic factors contributing to elevated gene expression noise in stationary phase
    Nicholas J Guido
    Department of Biomedical Engineering and Center for BioDynamics, Boston University, Boston, Massachusetts, USA
    Biophys J 93:L55-7. 2007

Collaborators

Detail Information

Publications21

  1. pmc Models of post-translational protein translocation
    T C Elston
    Biomathematics Graduate Program Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695 8203, USA
    Biophys J 79:2235-51. 2000
    ..An experimental method is proposed for measuring these two quantities that only relies on current experimental techniques...
  2. ncbi request reprint A macroscopic description of biomolecular transport
    T C Elston
    Department of Statistics, North Carolina State University, Raleigh 27695 8203, USA
    J Math Biol 41:189-206. 2000
    ..To provide an illustration of the algorithm, the problem of protein translocation is considered...
  3. pmc The brownian ratchet and power stroke models for posttranslational protein translocation into the endoplasmic reticulum
    Timothy C Elston
    Biomathematics Graduate Program Department of Statistics, North Carolina State University, Raleigh, North Carolina 27695 8203, USA
    Biophys J 82:1239-53. 2002
    ..Therefore, the data considered here cannot be used to reject this import mechanism. The models are further analyzed using the estimated parameters to make experimentally testable predictions...
  4. ncbi request reprint Variable-free exploration of stochastic models: a gene regulatory network example
    Radek Erban
    Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford, United Kingdom
    J Chem Phys 126:155103. 2007
    ....
  5. pmc Mathematical analysis and quantification of fluorescent proteins as transcriptional reporters
    Xiao Wang
    Department of Biomedical Engineering, Center for BioDynamics, Boston University, Boston, Massachusetts 02215, USA
    Biophys J 94:2017-26. 2008
    ..Our analysis reveals that fluorescence measurements can both underestimate and overestimate fluctuations in protein levels that arise from the stochastic nature of biochemical reactions...
  6. ncbi request reprint Mathematical modeling of RGS and G-protein regulation in yeast
    Necmettin Yildirim
    Department of Mathematics, University of North Carolina at Chapel Hill, 27599 3250, USA
    Methods Enzymol 389:383-98. 2004
    ..It also illustrates that a complete understanding of signaling pathways requires an investigation of their time-dependent behavior...
  7. ncbi request reprint Fluctuations in transcription factor binding can explain the graded and binary responses observed in inducible gene expression
    Jason R Pirone
    Biomathematics Graduate Program and Department of Environmental and Molecular Toxicology, Campus Box 8203, North Carolina State University, Raleigh, NC 27695 8203, USA
    J Theor Biol 226:111-21. 2004
    ..Our modeling results are in good qualitative agreement with the experimental data, and illustrate how the binary and graded responses can stem from the same underlying mechanism...
  8. pmc Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
    David Adalsteinsson
    Department of Mathematics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 3250, USA
    BMC Bioinformatics 5:24. 2004
    ..Therefore, there is a need for computational tools for developing and investigating stochastic models of biochemical networks...
  9. pmc Kinetic insulation as an effective mechanism for achieving pathway specificity in intracellular signaling networks
    Marcelo Behar
    Department of Physics, University of North Carolina, Chapel Hill, NC 27599, USA
    Proc Natl Acad Sci U S A 104:16146-51. 2007
    ..Our results suggest that multilevel signaling cascades may have evolved to modulate the temporal profile of pathway activity so that stimulus information can be efficiently encoded and transmitted while ensuring signal specificity...
  10. pmc A pathway and genetic factors contributing to elevated gene expression noise in stationary phase
    Nicholas J Guido
    Department of Biomedical Engineering and Center for BioDynamics, Boston University, Boston, Massachusetts, USA
    Biophys J 93:L55-7. 2007
    ..Endogenous cellular mechanisms that globally affect gene expression noise, such as those identified in this study, could provide phenotypic diversity under adverse conditions such as stationary phase...
  11. pmc A mathematical model for human nucleotide excision repair: damage recognition by random order assembly and kinetic proofreading
    Kevin J Kesseler
    Department of Pathology and Laboratory Medicine, Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 7255, USA
    J Theor Biol 249:361-75. 2007
    ..Finally, a comparison between the random order assembly with kinetic proofreading model and a sequential assembly model is made. This investigation reveals the advantages of the random order assembly/kinetic proofreading model...
  12. pmc Mathematical and computational analysis of adaptation via feedback inhibition in signal transduction pathways
    Marcelo Behar
    Department of Physics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
    Biophys J 93:806-21. 2007
    ..Finally, we present characteristic features for each form of feedback regulation that can aid in their identification...
  13. ncbi request reprint A robust numerical algorithm for studying biomolecular transport processes
    Hongyun Wang
    Department of Applied Mathematics and Statistics, University of California, Santa Cruz, CA 95064, USA
    J Theor Biol 221:491-511. 2003
    ..We provide several simple examples of how to implement the algorithm. All the MATLAB functions files needed to reproduce the results presented in the article are available from www.amath.unc.edu/Faculty/telston/matlab_functions...
  14. ncbi request reprint Gene regulatory networks: a coarse-grained, equation-free approach to multiscale computation
    Radek Erban
    Mathematical Institute, University of Oxford, 24 29 St Giles, Oxford OX1 3LB, United Kingdom
    J Chem Phys 124:084106. 2006
    ....
  15. ncbi request reprint A bottom-up approach to gene regulation
    Nicholas J Guido
    Department of Biomedical Engineering, Bioinformatics Program, Center for BioDynamics and Center for Advanced Biotechnology, Boston University, 44 Cummington Street, Boston, Massachusetts 02215, USA
    Nature 439:856-60. 2006
    ..This work shows that the properties of regulatory subsystems can be used to predict the behaviour of larger, more complex regulatory networks, and that this bottom-up approach can provide insights into gene regulation...
  16. pmc Bistability, stochasticity, and oscillations in the mitogen-activated protein kinase cascade
    Xiao Wang
    Department of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599 7365, USA
    Biophys J 90:1961-78. 2006
    ..We demonstrate that the inclusion of protein turnover can lead to sustained oscillations of protein concentrations in the absence of feedback regulation. Thus, protein turnover can profoundly influence the output of a signaling pathway...
  17. ncbi request reprint A numerical algorithm for investigating the role of the motor-cargo linkage in molecular motor-driven transport
    John Fricks
    Department of Mathematics, University of North Carolina, Chapel Hill, NC 27599 3250, USA
    J Theor Biol 239:33-48. 2006
    ..The MATLAB code used in this paper is available at: http://www.unc.edu/approximatelytelston/code/...
  18. ncbi request reprint Frequent sampling reveals dynamic responses by the transcriptome to routine media replacement in HepG2 cells
    Kevin T Morgan
    GlaxoSmithKline, Research Triangle Park, North Carolina 27709, USA
    Toxicol Pathol 31:448-61. 2003
    ..To access this file, click on the issue link for 31(4), then select this article. In order to access the full article online, you must either have an individual subscription or a member subscription accessed through www.toxpath.org...
  19. ncbi request reprint The hepatic transcriptome as a window on whole-body physiology and pathophysiology
    Kevin T Morgan
    Aventis Inc, Bridgewater, New Jersey 08876, USA
    Toxicol Pathol 33:136-45. 2005
    ..A download option appears at the bottom of this abstract. In order to access the full article online, you must either have an individual subscription or a member subscription accessed through (www.toxpath.org)...
  20. ncbi request reprint Regulators of G protein signaling and transient activation of signaling: experimental and computational analysis reveals negative and positive feedback controls on G protein activity
    Nan Hao
    Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599 0812, USA
    J Biol Chem 278:46506-15. 2003
    ..We identified and quantitated these positive and negative feedback loops, which account for the transient response to external signals observed in vivo...
  21. ncbi request reprint Stochasticity in gene expression: from theories to phenotypes
    Mads Kaern
    Department of Cellular and Molecular Medicine and Ottawa Institute of Systems Biology, University of Ottawa, 451 Smyth Road, Ottawa, Ontario K1H8M5, Canada
    Nat Rev Genet 6:451-64. 2005
    ..It can provide the flexibility needed by cells to adapt to fluctuating environments or respond to sudden stresses, and a mechanism by which population heterogeneity can be established during cellular differentiation and development...