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Related Concept Videos

Proteomics01:33

Proteomics

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A proteome is the entire set of proteins that a cell type produces. We can study proteomes using the knowledge of genomes because genes code for mRNAs, and the mRNAs encode proteins. Although mRNA analysis is a step in the right direction, not all mRNAs are translated into proteins.
Proteomics is the study of proteomes' function. It involves the large-scale systematic study of the proteome to denote the protein complement expressed by a genome. Scientist Mark Wilkins coined the term...
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Microarray-Based Phospho-Proteomic Profiling of Complex Biological Systems.

C Rory Goodwin1, Crystal L Woodard2, Xin Zhou3

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Translational Oncology
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Summary
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Protein microarrays reveal how PTEN and Akt influence glioma cell signaling. This high-throughput method identifies novel kinase substrates and interactions in tumors, aiding oncogenesis research.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Oncology

Background:

  • Protein microarrays are established tools for identifying kinase substrates.
  • Understanding the roles of PTEN and Akt in cancer signaling is crucial.

Purpose of the Study:

  • To globally interrogate the effects of PTEN and Akt activity on the phospho-kinome in glioma models.
  • To validate findings in clinical pathological specimens.
  • To identify novel kinase substrates and interactions in tumor cells.

Main Methods:

  • Utilized protein microarrays (human kinome chip) to analyze whole cell lysates from glioma tumor samples.
  • Performed high-throughput profiling of global kinase phosphorylation patterns.
  • Validated findings in clinical pathological specimens.

Main Results:

  • Identified global kinase phosphorylation patterns affected by PTEN and Akt activity in glioma.
  • Discovered novel kinase substrates inherent to tumor cells.
  • Revealed interactions between tumor cells and the tumor microenvironment.

Conclusions:

  • Protein microarrays offer a novel, high-throughput method for assessing intracellular signaling events.
  • This approach is applicable to studying human oncogenesis and other pathophysiologic states.
  • The findings provide insights into glioma signaling pathways.