David J Klinke

Summary

Affiliation: West Virginia University
Country: USA

Publications

  1. ncbi Understanding immunology via engineering design: the role of mathematical prototyping
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 25606, USA
    Comput Math Methods Med 2012:676015. 2012
  2. ncbi Quantifying crosstalk among interferon-γ, interleukin-12, and tumor necrosis factor signaling pathways within a TH1 cell model
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Post Office Box 6102, Morgantown, WV 26506, USA
    Sci Signal 5:ra32. 2012
  3. ncbi Age-corrected beta cell mass following onset of type 1 diabetes mellitus correlates with plasma C-peptide in humans
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia, United States of America
    PLoS ONE 6:e26873. 2011
  4. ncbi Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
    Yogesh M Kulkarni
    Department of Chemical Engineering, College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV 26506, USA
    Proteome Sci 10:11. 2012
  5. ncbi Timescale analysis of rule-based biochemical reaction networks
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 25606, USA
    Biotechnol Prog 28:33-44. 2012
  6. ncbi A multiscale systems perspective on cancer, immunotherapy, and Interleukin-12
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 26506 6102, USA
    Mol Cancer 9:242. 2010
  7. ncbi Signal transduction networks in cancer: quantitative parameters influence network topology
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia 26506, USA
    Cancer Res 70:1773-82. 2010
  8. ncbi An empirical Bayesian approach for model-based inference of cellular signaling networks
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506 6102, USA
    BMC Bioinformatics 10:371. 2009
  9. ncbi Scalable analysis of flow cytometry data using R/Bioconductor
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia 25606, USA
    Cytometry A 75:699-706. 2009
  10. ncbi An age-structured model of dendritic cell trafficking in the lung
    David J Klinke
    Department of Chemical Engineering, West Virginia University, PO Box 6102, Morgantown, 26506 6102, USA
    Am J Physiol Lung Cell Mol Physiol 291:L1038-49. 2006

Collaborators

  • Stacey D Finley
  • Yogesh M Kulkarni
  • A J Robert McGray
  • Jonathan L Bramson
  • Jason S Ware
  • Emily Chambers
  • Vivian Suarez

Detail Information

Publications18

  1. ncbi Understanding immunology via engineering design: the role of mathematical prototyping
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 25606, USA
    Comput Math Methods Med 2012:676015. 2012
    ..This paper is intended to illustrate some of the nuances associated with applying mathematical modeling to improve understanding of the dynamics of disease progression in humans...
  2. ncbi Quantifying crosstalk among interferon-γ, interleukin-12, and tumor necrosis factor signaling pathways within a TH1 cell model
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Post Office Box 6102, Morgantown, WV 26506, USA
    Sci Signal 5:ra32. 2012
    ..In summary, this combined experimental and computational approach illustrates how model-based inference can be used to better understand how cells process and act upon biochemical cues present in the tissue microenvironment...
  3. ncbi Age-corrected beta cell mass following onset of type 1 diabetes mellitus correlates with plasma C-peptide in humans
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia, United States of America
    PLoS ONE 6:e26873. 2011
    ..The objective of this paper was to determine the relationship between beta cell mass and endogenous insulin production post-onset...
  4. ncbi Protein-based identification of quantitative trait loci associated with malignant transformation in two HER2+ cellular models of breast cancer
    Yogesh M Kulkarni
    Department of Chemical Engineering, College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV 26506, USA
    Proteome Sci 10:11. 2012
    ..abstract:..
  5. ncbi Timescale analysis of rule-based biochemical reaction networks
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 25606, USA
    Biotechnol Prog 28:33-44. 2012
    ..Ultimately, timescale analysis of rule-based models is a computational tool that can be used to reveal the biochemical steps that regulate signaling dynamics...
  6. ncbi A multiscale systems perspective on cancer, immunotherapy, and Interleukin-12
    David J Klinke
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, Morgantown, WV 26506 6102, USA
    Mol Cancer 9:242. 2010
    ..An underlying theme in this review is the potential role that simulation can play in translating knowledge across scales...
  7. ncbi Signal transduction networks in cancer: quantitative parameters influence network topology
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia 26506, USA
    Cancer Res 70:1773-82. 2010
    ..Multivariate alterations in expression of signaling proteins in cancer cells may activate noncanonical pathways and may rewire the signaling network within a cell...
  8. ncbi An empirical Bayesian approach for model-based inference of cellular signaling networks
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506 6102, USA
    BMC Bioinformatics 10:371. 2009
    ..The objective of this study was to apply an Adaptive Markov chain Monte Carlo technique to a typical study of cellular signaling pathways...
  9. ncbi Scalable analysis of flow cytometry data using R/Bioconductor
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia 25606, USA
    Cytometry A 75:699-706. 2009
    ..The compendium presented here is intended to help illuminate a path for inquisitive readers to explore their own data using R/Bioconductor (available as Supporting Information)...
  10. ncbi An age-structured model of dendritic cell trafficking in the lung
    David J Klinke
    Department of Chemical Engineering, West Virginia University, PO Box 6102, Morgantown, 26506 6102, USA
    Am J Physiol Lung Cell Mol Physiol 291:L1038-49. 2006
    ..Finally, these results motivate future experimental studies to clarify aspects of DC trafficking in the lung...
  11. ncbi A multi-scale model of dendritic cell education and trafficking in the lung: implications for T cell polarization
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506 6102, USA
    Ann Biomed Eng 35:937-55. 2007
    ..In summary, this multi-scale model provides an essential aid in understanding the impact of a dynamically changing lung microenvironment on the ability of dendritic cells to orchestrate adaptive immunity...
  12. ncbi Integrating epidemiological data into a mechanistic model of type 2 diabetes: validating the prevalence of virtual patients
    David J Klinke
    Department of Chemical Engineering, West Virginia University, P O Box 6102, Morgantown, WV 25606, USA
    Ann Biomed Eng 36:321-34. 2008
    ..This approach demonstrates how computational bridges can be constructed between statistical approaches common in epidemiology and deterministic approaches common in biomedical engineering...
  13. ncbi Extent of beta cell destruction is important but insufficient to predict the onset of type 1 diabetes mellitus
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, West Virginia, USA
    PLoS ONE 3:e1374. 2008
    ..Motivated by the clinical importance of the degree of beta cell destruction at onset, a meta-analysis was used to determine the validity of this common wisdom...
  14. ncbi Modulating temporal control of NF-kappaB activation: implications for therapeutic and assay selection
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, WV 26506, USA
    Biophys J 94:4249-59. 2008
    ..These results highlight the importance of cell type and stimulus specificity in transcription factor activity assessment. In addition, assay selection has important implications for network inference and drug discovery...
  15. ncbi Validating a dimensionless number for glucose homeostasis in humans
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown, P O Box 6102, Morgantown, WV 25606 6102, USA
    Ann Biomed Eng 37:1886-96. 2009
    ..In addition, a similar dynamic trajectory to the clinical populations could provide a criterion for selecting relevant animal models for diabetes...
  16. ncbi The ratio of P40 monomer to dimer is an important determinant of IL-12 bioactivity
    David J Klinke
    Department of Chemical Engineering, West Virginia University, Morgantown WV 26506 6102, USA
    J Theor Biol 240:323-35. 2006
    ..In addition to the typically measured quantities of total p40 (IL12p40 + IL12(p40)2) and IL12p70, the ratio of IL12p40 to IL12(p40)2 is an equally important, yet underreported, determinant of IL-12 bioactivity...
  17. ncbi A quantitative systems approach to identify paracrine mechanisms that locally suppress immune response to Interleukin-12 in the B16 melanoma model
    Yogesh M Kulkarni
    Department of Chemical Engineering and Mary Babb Randolph Cancer Center, West Virginia University, P O Box 6102, Morgantown, WV 26506, USA
    Integr Biol (Camb) 4:925-36. 2012
    ....
  18. ncbi Inferring predominant pathways in cellular models of breast cancer using limited sample proteomic profiling
    Yogesh M Kulkarni
    Department of Chemical Engineering, West Virginia University College of Engineering and Mineral Resources, West Virginia University, Morgantown, WV 26506, USA
    BMC Cancer 10:291. 2010
    ..The objective of this study was to determine if information obtained from a limited sample (i.e., a single gel replicate) can provide insight into the predominant pathways in two well-characterized breast cancer models...