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Quantitative Analysis of Tyrosine Kinase Signaling Across Differentially Embedded Human Glioblastoma Tumors

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Cancer Systems Biology

Part of the book series: Methods in Molecular Biology ((MIMB,volume 1711))

Abstract

Glioblastoma is the most aggressive primary brain tumor with a poor mean survival even with the current standard of care. Kinase signaling analyses of clinical glioblastoma samples provide a physiologically relevant view of oncogenic signaling networks. Here, we describe the methods that enable the quantification of protein expression profiles and phosphotyrosine signaling across flash frozen and optimal cutting temperature (OCT) compound embedded tumor specimens. The data derived from these experiments can be used to identify the intra- and inter-patient heterogeneity present in these tumors. Correlation and functional analyses on the quantitative protein expression and phosphotyrosine signaling data obtained from clinical samples can be used to identify tyrosine kinase signaling networks present in these tumors and reveal the differential expression of functionally related proteins. This chapter provides the quantitative mass spectrometry methods required for the identification of in vivo oncogenic signaling networks from human tumor specimens.

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Acknowledgments

This work was supported in part by a generous gift from the James S. McDonnell Foundation and by NIH grants P30 CA014051 and R01 CA184320. The authors would like to thank Ms. Marcela White at the brain tumor bank (www.Braintumourbank.com) for access to patient materials.

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Authors and Affiliations

  1. Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

    Hannah Johnson & Forest M. White

  2. Signalling Laboratory, The Babraham Institute, Babraham Research Campus, Cambridge, CB22 3AT, UK

    Hannah Johnson

  3. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA

    Forest M. White

Authors
  1. Hannah Johnson
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  2. Forest M. White
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Correspondence to Hannah Johnson .

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Editors and Affiliations

  1. NNF Center for Protein Research, University of Copenhagen, Copenhagen, Denmark

    Louise von Stechow

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Johnson, H., White, F.M. (2018). Quantitative Analysis of Tyrosine Kinase Signaling Across Differentially Embedded Human Glioblastoma Tumors. In: von Stechow, L. (eds) Cancer Systems Biology. Methods in Molecular Biology, vol 1711. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-7493-1_8

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  • DOI: https://doi.org/10.1007/978-1-4939-7493-1_8

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  • Publisher Name: Humana Press, New York, NY

  • Print ISBN: 978-1-4939-7492-4

  • Online ISBN: 978-1-4939-7493-1

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