Dana Pe'er

Summary

Affiliation: Columbia University
Country: USA

Publications

  1. pmc Harnessing gene expression to identify the genetic basis of drug resistance
    Bo Juen Chen
    Department of Biological Sciences, Columbia University, New York, NY, USA
    Mol Syst Biol 5:310. 2009
  2. pmc Principles and strategies for developing network models in cancer
    Dana Pe'er
    Department of Biological Sciences, Columbia University, 1212 Amsterdam Avenue, New York, NY 10027, USA
    Cell 144:864-73. 2011
  3. pmc Modularity and interactions in the genetics of gene expression
    Oren Litvin
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Proc Natl Acad Sci U S A 106:6441-6. 2009
  4. pmc Inference of modules associated to eQTLs
    Anat Kreimer
    Department of Biomedical Informatics, Columbia University, New York 10032, USA
    Nucleic Acids Res 40:e98. 2012
  5. pmc JISTIC: identification of significant targets in cancer
    Felix Sanchez-Garcia
    Department of Computer Science, Columbia University, New York, NY, USA
    BMC Bioinformatics 11:189. 2010
  6. pmc Using systems and structure biology tools to dissect cellular phenotypes
    Aris Floratos
    Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA
    J Am Med Inform Assoc 19:171-5. 2012
  7. pmc RHPN2 drives mesenchymal transformation in malignant glioma by triggering RhoA activation
    Carla Danussi
    Institute for Cancer Genetics, Columbia University Medical Center, New York, NY 10032, USA
    Cancer Res 73:5140-50. 2013
  8. pmc Environmental stresses disrupt telomere length homeostasis
    Gal Hagit Romano
    Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel Department of Biological Sciences, Columbia University, New York, New York, United States of America
    PLoS Genet 9:e1003721. 2013
  9. pmc An integrated approach to uncover drivers of cancer
    Uri David Akavia
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Cell 143:1005-17. 2010
  10. pmc Modulatory profiling identifies mechanisms of small molecule-induced cell death
    Adam J Wolpaw
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Proc Natl Acad Sci U S A 108:E771-80. 2011

Collaborators

Detail Information

Publications10

  1. pmc Harnessing gene expression to identify the genetic basis of drug resistance
    Bo Juen Chen
    Department of Biological Sciences, Columbia University, New York, NY, USA
    Mol Syst Biol 5:310. 2009
    ..Our approach is robust, applicable to other phenotypes and species, and has potential for applications in personalized medicine, for example, in predicting how an individual will respond to a previously unseen drug...
  2. pmc Principles and strategies for developing network models in cancer
    Dana Pe'er
    Department of Biological Sciences, Columbia University, 1212 Amsterdam Avenue, New York, NY 10027, USA
    Cell 144:864-73. 2011
    ..In conclusion, we discuss how a network-level understanding of cancer can be used to predict drug response and guide therapeutics...
  3. pmc Modularity and interactions in the genetics of gene expression
    Oren Litvin
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Proc Natl Acad Sci U S A 106:6441-6. 2009
    ..Thus, different cellular states occur not only in response to the external environment but also result from intrinsic genetic variation...
  4. pmc Inference of modules associated to eQTLs
    Anat Kreimer
    Department of Biomedical Informatics, Columbia University, New York 10032, USA
    Nucleic Acids Res 40:e98. 2012
    ..This and further phenotypic analysis provide a validation for our methodology...
  5. pmc JISTIC: identification of significant targets in cancer
    Felix Sanchez-Garcia
    Department of Computer Science, Columbia University, New York, NY, USA
    BMC Bioinformatics 11:189. 2010
    ..As datasets measuring copy number aberrations in tumors accumulate, a major challenge has become to distinguish between those mutations that drive the cancer versus those passenger mutations that have no effect...
  6. pmc Using systems and structure biology tools to dissect cellular phenotypes
    Aris Floratos
    Department of Biomedical Informatics, Columbia University, New York, NY 10032, USA
    J Am Med Inform Assoc 19:171-5. 2012
    ..Additionally, MAGNet has been instrumental in organizing and developing key conferences and meetings focused on the emerging field of systems biology and regulatory genomics, with special focus on cancer-related research...
  7. pmc RHPN2 drives mesenchymal transformation in malignant glioma by triggering RhoA activation
    Carla Danussi
    Institute for Cancer Genetics, Columbia University Medical Center, New York, NY 10032, USA
    Cancer Res 73:5140-50. 2013
    ..Our results define RHPN2 amplification as a central genetic determinant of a highly aggressive phenotype that directs the worst clinical outcomes in patients with GBM...
  8. pmc Environmental stresses disrupt telomere length homeostasis
    Gal Hagit Romano
    Department of Molecular Microbiology and Biotechnology, Tel Aviv University, Tel Aviv, Israel Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv, Israel Department of Biological Sciences, Columbia University, New York, New York, United States of America
    PLoS Genet 9:e1003721. 2013
    ..These results demonstrate that telomere length can be manipulated, and that a carefully regulated homeostasis may become markedly deregulated in opposing directions in response to different environmental cues. ..
  9. pmc An integrated approach to uncover drivers of cancer
    Uri David Akavia
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Cell 143:1005-17. 2010
    ..Together, these results demonstrate the ability of integrative Bayesian approaches to identify candidate drivers with biological, and possibly therapeutic, importance in cancer...
  10. pmc Modulatory profiling identifies mechanisms of small molecule-induced cell death
    Adam J Wolpaw
    Department of Biological Sciences, Columbia University, New York, NY 10027, USA
    Proc Natl Acad Sci U S A 108:E771-80. 2011
    ....