Journal of Proteomics & Bioinformatics
Open Access

Qingbo Li

Publications

• Research Article
  Principal Component Analysis of Proteome Dynamics in Ironstarved Mycobacterium Tuberculosis
  Author(s): Prahlad K. Rao and Qingbo Li Prahlad K. Rao and Qingbo Li
  
  The goal of this study is to use principal component analysis (PCA) for multivariate analysis of proteome dynamics based on both protein abundance and turnover information generated by high-resolution mass spectrometry. We previously reported assessing protein dynamics in iron-starved Mycobacterium tuberculosis, revealing interesting interconnection among the cellular processes involving protein synthesis, degradation, and secretion (Anal. Chem. 80, 6860-9). In this study, we use target-decoy database search approach to select peptides for quantitation at a false discovery rate of 4.2%. We further use PCA to reduce the data dimensions for simpler interpretation. The PCA results indicate that the protein turnover and relative abundance properties are approximately orthogonal in the data space defined by the first three principal components. We show the potential of the.. View More»
  DOI: 10.4172/jpb.1000058

  Abstract PDF

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