SCIENTIFIC PAPERS WITH CONTRIBUTION OF KINAXO’S SCIENTISTS


Our team has a proven track record in chemical proteomics research. Please find below selected publications. For specific applications of KINAXO Cellular Target Profiling® please contact us.

  1. Klammer, M., Godl, K., Tebbe, A., Schaab, C. (2010) Identifying differentially regulated subnetworks from phosphoproteomic data. BMC Bioinformatics 11, 351. [Epub ahead of print]
    Article
  2. Godl, K. (2008). Chemical Proteomics: Small molecule selectivity testing. Euro Biotech News,
    No. 11-12, Volume 7, 36-37
    Article
  3. Daub, H. (2005). Characterisation of kinase-selective inhibitors by chemical proteomics. Biochim. Biophys. Acta 1754, 183-190.
    Abstract
  4. Brehmer, D., Greff, Z., Godl, K., Blencke, S., Kurtenbach, A., Weber, M., Müller, S., Klebl, B., Cotten, M., Kéri, G., Wissing, J., and Daub, H. (2005). Cellular targets of gefitinib. Cancer Res. 65, 379-382
    Article
  5. Godl, K., Gruss, O. J., Eickhoff, J., Wissing, J., Blencke, S., Weber, M., Degen, H., Brehmer, D., Horváth, Z., Kéri, G., Cotten, M., Müller, S., Ullrich, A., and Daub, H. (2005). Proteomic characterization of the angiogenesis inhibitor SU6668 reveals multiple impacts on cellular kinase signaling. Cancer Res. 65, 6919-6926
    Article
  6. Godl, K., and Daub H. (2004). Proteomic analysis of kinase inhibitor selectivity and function. Cell Cycle 3, 393-395
    Article
  7. Brehmer, D., Godl, K., Zech, B., Wissing, J., and Daub, H. (2004). Proteome-wide identification of cellular targets affected by bisindolylmaleimide-type protein kinase C inhibitors. Mol. Cell. Proteomics 5, 490-500
    Article
  8. Daub, H., Godl, K., Brehmer, D., Klebl, B., and Müller, G. (2004). Evaluation of kinase inhibitor selectivity by chemical proteomics. Assay Drug Dev. Technol. 2, 215-224
    Abstract
  9. Wissing, J., Godl, K., Brehmer, D., Blencke, S., Weber, M., Habenberger, P., Stein-Gerlach, M., Missio, A., Cotten, M., Müller, S., and Daub, H. (2004). Chemical proteomic analysis reveals novel cellular modes of action for pyrido[2,3-d]pyrimidine kinase inhibitors, Mol. Cell. Proteomics 3, 1181-1193
    Article
  10. Godl, K., Wissing, J., Kurtenbach, A., Habenberger, P., Blencke, S., Gutbrod, H., Salassidis, K., Stein-Gerlach, M., Missio, A., Cotten, M., and Daub, H. (2003). An efficient proteomics method to identify the cellular targets of protein kinase inhibitors. Proc. Natl. Acad. Sci. U.S.A. 100, 15434-15439
    Article


SELECTED PUBLICATIONS OF KINAXO’S SCIENTIFIC ADVISORS

KINAXO’s scientific advisors have contributed to numerous groundbreaking, peer-reviewed publications in the field of chemical proteomics, data analysis in mass spectrometry and quantitative proteomics.

  1. Daub H. (2010) Kinase inhibitors: narrowing down the real targets. Nat Chem Biol. 6, 249-50
    Abstract
  2. Schreiber, TB., Mäusbacher, N., Kéri, G., Cox, J., Daub, H. (2010) An integrated phosphoproteomics work flow reveals extensive network regulation in early lysophosphatidic acid signaling. Mol Cell Proteomics. 9, 1047-62, Epub 2010 Jan 12.
    Abstract
  3. Olsen, JV., Vermeulen, M., Santamaria, A., Kumar, C., Miller, ML., Jensen, LJ., Gnad, F., Cox, J., Jensen, TS., Nigg, EA., Brunak, S., Mann, M. (2010) Quantitative phosphoproteomics reveals widespread full phosphorylation site occupancy during mitosis. Sci Signal. 3, 104
    Abstract
  4. Pan, C., Olsen, JV., Daub, H., Mann, M. (2009) Global effects of kinase inhibitors on signaling networks revealed by quantitative phosphoproteomics. Mol Cell Proteomics. 8, 2796-808. Epub 2009
    Article
  5. Sharma K., Weber C., Bairlein M., Greff Z., Kéri G., Cox J., Olsen JV., Daub H. (2009) Proteomics strategy for quantitative protein interaction profiling in cell extracts, Nature Methods, Epub ahead of print
    Article
  6. Oppermann, FS., Gnad, F., Olsen, JV., Hornberger, R., Greff, Z., Kéri, G., Mann, M., Daub, H. (2009) Large-scale proteomics analysis of the human kinome. Mol Cell Proteomics 8 1751-1764
    Abstract
  7. Cox, J., Matic, I. , Hilger, M., Nagaraj, N., Selbach, M., Olsen, JV., Mann, M. (2009) A practical guide to the MaxQuant computational platform for SILAC-based quantitative proteomics. Nat Protoc. 4 698-705    
    Abstract
  8. Olsen, JV., Macek, B. (2009) High accuracy mass spectrometry in large-scale analysis of protein phosphorylation. Methods Mol Biol. 492 131-142
    Abstract
  9. Schreiber, TB., Mäusbacher, N., Breitkopf, SB., Grundner-Culemann, K., Daub, H. (2008) Quantitative phosphoproteomics-an emerging key technology in signal-transduction research. Proteomics 8 4416-4432
    Abstract
  10. Daub, H., Olsen, JV., Bairlein, M., Gnad, F., Oppermann, FS., Körner, R., Greff, Z., Kéri, G., Stemmann, O., Mann, M. (2008) Kinase-selective enrichment enables quantitative phosphoproteomics of the kinome across the cell cycle. Mol. Cell 31 438-448
    Abstract
  11. Mertins, P., Eberl, HC., Renkawitz, J., Olsen, JV., Tremblay, ML., Mann, M., Ullrich, A., Daub, H. (2008) Investigation of protein-tyrosine phosphatase 1B function by quantitative proteomics. Mol.Cell Proteomics 7 1763-1777
    Abstract
  12. Cox, J., Mann, M. (2008) MaxQuant enables high peptide identification rates, individualized p.p.b.-range mass accuracies and proteome-wide protein quantification. Nat Biotechnol. 26 1367-1372
    Abstract
  13. Cox, J., Mann, M. (2007) Is proteomics the new genomics? Cell 130 395-398
    Abstract
  14. Olsen, J.V., Blagoev, B., Gnad, F., Macek, B., Kumar, C., Mortensen, P., Mann, M. (2006)  Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. Cell 127 635-648
    Abstract