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Proteome-wide Quantification of Labeling Homogeneity at the Single Molecule Level
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NeuCode labels for relative protein quantification.

Anna E Merrill1, Alexander S Hebert2, Matthew E MacGilvray3

  • 1From the ‡Genome Center of Wisconsin, University of Wisconsin, Madison, Wisconsin 53706; §Department of Chemistry, University of Wisconsin, Madison, Wisconsin 53706;

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|June 19, 2014
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Summary
This summary is machine-generated.

Researchers developed a new method for creating lysine isotopologues, enabling precise proteome quantification using neutron encoding (NeuCode) SILAC. This technique enhances multiplexing for detailed biological studies, including stress responses and signaling pathways.

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Area of Science:

  • Biochemistry
  • Proteomics
  • Systems Biology

Background:

  • Accurate proteome quantification is crucial for understanding cellular processes.
  • Existing methods like SILAC and isobaric tagging have limitations in multiplexing and precision.
  • Novel strategies are needed to enhance quantitative proteomic analysis.

Purpose of the Study:

  • To develop a synthesis strategy for lysine isotopologues with high mass precision.
  • To establish a method for multiplexed proteome quantification using neutron encoding (NeuCode) SILAC.
  • To apply NeuCode SILAC for investigating transcript-protein relationships and signaling dynamics.

Main Methods:

  • Synthesis of lysine isotopologues with minimal mass differences (6 mDa).
  • Incorporation of isotopologues into cellular proteomes without affecting proliferation.
  • High-resolution mass spectrometry for quantification using embedded mass signatures (NeuCode).
  • Application of NeuCode SILAC for yeast stress response studies and signaling mutant analysis.

Main Results:

  • Successful synthesis of precisely mass-differentiated lysine isotopologues.
  • Demonstrated no impact of isotopologue incorporation on cellular proliferation.
  • Achieved multiplexed proteome quantification by leveraging NeuCode mass signatures.
  • Applied NeuCode SILAC to analyze yeast environmental stress responses and time-resolved signaling mutant data.

Conclusions:

  • NeuCode SILAC combines the quantitative accuracy of SILAC with the multiplexing capabilities of isobaric tags.
  • This approach offers advanced opportunities for biological investigations, particularly in systems biology.
  • NeuCode SILAC enables detailed analysis of complex biological systems, such as transcript-protein dynamics and signaling pathway responses.