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Human serum and plasma proteomics.

Ian Musselman1, David W Speicher1

  • 1The Wistar Institute, Philadelphia, Pennsylvania.

Current Protocols in Protein Science
|April 23, 2008
PubMed
Summary
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This study details protein profiling and identification methods for human serum and plasma. These techniques, including multidimensional protein identification technology, can be adapted for various biological fluids and species.

Area of Science:

  • Proteomics
  • Biochemistry
  • Analytical Chemistry

Background:

  • Human serum and plasma are complex biological fluids containing thousands of proteins.
  • Accurate protein profiling is crucial for understanding biological processes and disease states.
  • Existing methods may have limitations in depth or breadth of protein coverage.

Purpose of the Study:

  • To present and discuss various methods for protein profiling and identification in human serum and plasma.
  • To highlight a powerful multidimensional approach combining protein depletion and separation techniques.
  • To suggest the adaptability of these methods for other species and biological samples.

Main Methods:

  • Major protein depletion to reduce sample complexity.
  • Multidimensional separation techniques including MicroSol IEF fractionation and SDS-PAGE.

Related Experiment Videos

  • Mass spectrometry-based identification, specifically LC-MS/MS and offline Multidimensional Protein Identification Technology (MudPIT).

    • Main Results:

    • Demonstration of a powerful multidimensional protein profiling strategy.
    • Discussion of alternative strategies involving 2-D gels or LC/LC-MS/MS after protein depletion.
    • Highlighting the versatility and adaptability of the described protein identification methods.

    Conclusions:

    • The presented methods offer robust approaches for comprehensive protein profiling in serum and plasma.
    • These techniques can be extended to proteomic studies in other species and biological fluids.
    • The described strategies advance the field of clinical proteomics and biomarker discovery.