4.7 Article

Absolute Quantification of the Glycolytic Pathway in Yeast: DEPLOYMENT OF A COMPLETE QconCAT APPROACH

Journal

MOLECULAR & CELLULAR PROTEOMICS
Volume 10, Issue 12, Pages -

Publisher

AMER SOC BIOCHEMISTRY MOLECULAR BIOLOGY INC
DOI: 10.1074/mcp.M111.007633

Keywords

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Funding

  1. Biotechnology and Biological Sciences Research Council/Engineering and Physical Sciences Research Council, Manchester Centre for Integrative Systems Biology [BB/C008219/1]
  2. Biotechnology and Biological Sciences Research Council [BB/C007433/1, BB/G00912, BB/C007735/1, BB/C505140/1]
  3. European Commission
  4. Biotechnology and Biological Sciences Research Council [BB/C505140/1, BB/C008219/1, BB/C007433/1, BB/F005938/2, BB/G009112/1, BB/C007735/1, BB/F005938/1] Funding Source: researchfish
  5. BBSRC [BB/F005938/1, BB/F005938/2, BB/G009112/1] Funding Source: UKRI

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The availability of label-free data derived from yeast cells (based on the summed intensity of the three strongest, isoform-specific peptides) permitted a preliminary assessment of protein abundances for glycolytic proteins. Following this analysis, we demonstrate successful application of the QconCAT technology, which uses recombinant DNA techniques to generate artificial concatamers of large numbers of internal standard peptides, to the quantification of enzymes of the glycolysis pathway in the yeast Saccharomyces cerevisiae. A QconCAT of 88 kDa (59 tryptic peptides) corresponding to 27 isoenzymes was designed and built to encode two or three analyte peptides per protein, and after stable isotope labeling of the standard in vivo, protein levels were determined by LCMS, using ultra high performance liquid chromatographycoupled mass spectrometry. We were able to determine absolute protein concentrations between 14,000 and 10 million molecules/ cell. Issues such as efficiency of extraction and completeness of proteolysis are addressed, as well as generic factors such as optimal quantotypic peptide selection and expression. In addition, the same proteins were quantified by intensity-based label-free analysis, and both sets of data were compared with other quantification methods. Molecular & Cellular Proteomics 10: 10.1074/mcp. M111.007633, 1-15, 2011.

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