Welcome to the MacCoss lab!

We are a protein mass spectrometry lab located in the Department of Genome Sciences at the University of Washington in Seattle.

 

The focus of our research is in the development of stable isotope and mass spectrometry-based approaches to improve our understanding of biology on a molecular, cellular, and whole organism level. Presently, individuals in the laboratory are working on technology for:

 

  • Automating biochemical sample preparation methods for the analysis of protein mixtures

  • Developing in vivo stable isotope methods for studying protein metabolism

  • Increasing the dynamic range of liquid chromatography-mass spectrometry for the analysis of peptides

  • Developing computational tools for the automated conversion of mass spectrometry data into biologically meaningful results

 

These technologies are being demonstrated and tested in the model organisms C. elegans and S. cerevisiae. Although our current research interests are presently in model systems, our long-term goal is to have technologies robust enough to handle the automated high-throughput characterization of human clinical samples.

Looking for content on the old website? You can access it here!

 


MacCoss Lab photo, September 2019.

CONTRIBUTE TO RESEARCH IN THE MACCOSS LAB

The MacCoss lab has developed a number of technologies and software tools that improve the way proteins are characterized in health and disease. If you feel like you have benefited from one or more of tools (e.g. Skyline or Panorama) and would like to see their continued development, support, and/or training -- consider making a tax-deductible donation.

 

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Lab News

Recent Articles of Interest

Chromatogram libraries improve peptide detection and quantification by data independent acquisition mass spectrometry

Nature Communications, December 2018

Panorama Public: A Public Repository for Quantitative Data Sets Processed in Skyline

Molecular and Cellular Proteomics, February 2018.

Calibration Using a Single-Point External Reference Material Harmonizes Quantitative Mass Spectrometry Proteomics Data between Platforms and Laboratories

Analytical Chemistry, October 2018

University of Washington

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