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Biological Systems Analysis By A Network Proteomics Approach And Subcellular Protein Profiling

Author

Listed:
  • CHRISTIAN V. FORST

    (Bioscience Division, Los Alamos National Laboratory, Mailstop M888, P.O. Box 1663, Los Alamos, New Mexico 87545, USA)

  • LAWRENCE CABUSORA

    (School of Medicine, Washington University in St. Louis, 660 S. Euclid Avenue, St. Louis, Missouri 63110, USA)

  • KWASI G. MAWUENYEGA

    (Bioscience Division, Los Alamos National Laboratory, Mailstop E529, P.O. Box 1663, Los Alamos, New Mexico 87545, USA)

  • XIAN CHEN

    (Bioscience Division, Los Alamos National Laboratory, Mailstop M888, P.O. Box 1663, Los Alamos, New Mexico 87545, USA)

Abstract

We provide a systematic analysis of a biological system, the microbial pathogenMycobacterium tuberculosis(Mtb) by directly profiling its gene products. This analysis combines high-throughput proteomics and biocomputational approaches to elucidate the globally expressed complements of the three subcellular compartments (the cell wall, membrane and cytosol) of Mtb. We report the compartmentalization of 1,044 identified proteins using proteomics methods. Genome-based biological network analyses were performed and integrated with proteomics data to reconstruct response networks. From the reconstructed response networks for fatty acid degradation and lipid biosynthesis pathways in Mtb, we identified proteins whose involvements in these pathways were not previously suspected. Furthermore, the subcellular localizations of these expressed proteins provide interesting insights into the compartmentalization of these pathways, which appear to traverse from cell wall to cytoplasm. Results of this large-scale subcellular proteome profile of Mtb have confirmed and validated the computational network hypothesis that functionally related proteins work together in larger organizational structures.

Suggested Citation

  • Christian V. Forst & Lawrence Cabusora & Kwasi G. Mawuenyega & Xian Chen, 2006. "Biological Systems Analysis By A Network Proteomics Approach And Subcellular Protein Profiling," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 9(04), pages 299-314.
    • Handle: RePEc:wsi:acsxxx:v:09:y:2006:i:04:n:s0219525906000835
    DOI: 10.1142/S0219525906000835
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