Kevin A Janes

Summary

Affiliation: University of Virginia
Country: USA

Publications

  1. pmc RUNX1 and its understudied role in breast cancer
    Kevin A Janes
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
    Cell Cycle 10:3461-5. 2011
  2. pmc Identifying single-cell molecular programs by stochastic profiling
    Kevin A Janes
    Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA
    Nat Methods 7:311-7. 2010
  3. pmc A time- and matrix-dependent TGFBR3-JUND-KRT5 regulatory circuit in single breast epithelial cells and basal-like premalignancies
    Chun Chao Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville Virginia 22908, USA
    Nat Cell Biol 16:345-56. 2014
  4. pmc Normal morphogenesis of epithelial tissues and progression of epithelial tumors
    Chun Chao Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
    Wiley Interdiscip Rev Syst Biol Med 4:51-78. 2012
  5. pmc Simultaneous profiling of 194 distinct receptor transcripts in human cells
    Byong H Kang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Sci Signal 6:rs13. 2013
  6. pmc Stochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cells
    Lixin Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
    Nat Protoc 8:282-301. 2013
  7. pmc Modeling the latent dimensions of multivariate signaling datasets
    Karin J Jensen
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Phys Biol 9:045004. 2012
  8. pmc Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles
    Sameer S Bajikar
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908
    Proc Natl Acad Sci U S A 111:E626-35. 2014
  9. pmc Models of signalling networks - what cell biologists can gain from them and give to them
    Kevin A Janes
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    J Cell Sci 126:1913-21. 2013
  10. pmc A high-throughput assay for phosphoprotein-specific phosphatase activity in cellular extracts
    Anjun K Bose
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Mol Cell Proteomics 12:797-806. 2013

Detail Information

Publications13

  1. pmc RUNX1 and its understudied role in breast cancer
    Kevin A Janes
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
    Cell Cycle 10:3461-5. 2011
    ..FOXOs could, therefore, represent a synthetic-lethal target for RUNX1-deficient tumors if the hypothesized link to breast cancer is correct...
  2. pmc Identifying single-cell molecular programs by stochastic profiling
    Kevin A Janes
    Department of Cell Biology, Harvard Medical School, Boston, Massachusetts, USA
    Nat Methods 7:311-7. 2010
    ..Thus, stochastic profiling can reveal single-cell heterogeneities without the need to measure expression in individual cells...
  3. pmc A time- and matrix-dependent TGFBR3-JUND-KRT5 regulatory circuit in single breast epithelial cells and basal-like premalignancies
    Chun Chao Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville Virginia 22908, USA
    Nat Cell Biol 16:345-56. 2014
    ..Intratumour heterogeneity need not stem from partial differentiation and could instead reflect dynamic toggling of cells between expression states that are not cell autonomous. ..
  4. pmc Normal morphogenesis of epithelial tissues and progression of epithelial tumors
    Chun Chao Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA
    Wiley Interdiscip Rev Syst Biol Med 4:51-78. 2012
    ..Predictive understanding of morphogenesis at the systems level would prove especially valuable for diseases such as cancer, where epithelial tissue architecture is profoundly disrupted...
  5. pmc Simultaneous profiling of 194 distinct receptor transcripts in human cells
    Byong H Kang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Sci Signal 6:rs13. 2013
    ..Our array provides a rapid, inexpensive, and convenient means for assigning a receptor signature to any human cell or tissue type. ..
  6. pmc Stochastic profiling of transcriptional regulatory heterogeneities in tissues, tumors and cultured cells
    Lixin Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA
    Nat Protoc 8:282-301. 2013
    ..The protocol is readily optimized for specific biological applications and takes about 1 week to complete...
  7. pmc Modeling the latent dimensions of multivariate signaling datasets
    Karin J Jensen
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Phys Biol 9:045004. 2012
    ..Both approaches have been used widely in studies of cell signaling, and they should be standard analytical tools once highly multivariate datasets become straightforward to accumulate...
  8. pmc Parameterizing cell-to-cell regulatory heterogeneities via stochastic transcriptional profiles
    Sameer S Bajikar
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908
    Proc Natl Acad Sci U S A 111:E626-35. 2014
    ..Our deconvolution method provides a means to quantify the heterogeneous regulation of molecular states efficiently and gain a deeper understanding of the heterogeneous execution of cell decisions. ..
  9. pmc Models of signalling networks - what cell biologists can gain from them and give to them
    Kevin A Janes
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    J Cell Sci 126:1913-21. 2013
    ..Although the mathematical foundations of a model are useful to appreciate its strengths and weaknesses, they are not required to test or generate a worthwhile biological hypothesis computationally...
  10. pmc A high-throughput assay for phosphoprotein-specific phosphatase activity in cellular extracts
    Anjun K Bose
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Mol Cell Proteomics 12:797-806. 2013
    ..Our assay platform should be beneficial for phosphoproteomic surveys and computational-systems models of signaling, where phosphatases are known to be important but their activities are rarely measured...
  11. pmc Intersection of FOXO- and RUNX1-mediated gene expression programs in single breast epithelial cells during morphogenesis and tumor progression
    Lixin Wang
    Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
    Proc Natl Acad Sci U S A 108:E803-12. 2011
    ..The coordinate function of these two tumor suppressors may provide a failsafe mechanism that inhibits cancer progression...
  12. pmc When microarrays Met epidermal-cell migration
    Kevin A Janes
    Department of Cell Biology, Harvard Medical School, Boston, MA, USA
    Mol Syst Biol 4:200. 2008
  13. ncbi request reprint A biological approach to computational models of proteomic networks
    Kevin A Janes
    Biological Engineering Division and Cell Decision Processes Center, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
    Curr Opin Chem Biol 10:73-80. 2006
    ..No single model can achieve all these goals, however, which is why it is critical to prioritize biological questions before specifying a particular modeling approach...