The Proteomics Center implements a chromatography-based proteomic approach known as multidimensional protein identification technology (MudPIT). MudPIT is largely unbiased and extremely sensitive and allows for the detection and identification of low abundance proteins, as well as many different post-translational modifications.  We use spectral counting as an effective label free proteomics quantitation tool and can apply statistical ways to compare proteomics datasets.

Typical collaborations include analyzing protein mixtures to comprehensively determine members of multiprotein complexes or to identify proteins localized to specific subcellular compartments. More in-depth analyses can be undertaken to find post-translational modifications in proteins of interest or derive probabilities of protein interactions within protein complexes when analyzing affinity purifications by MudPIT.

The Proteomics Center team consists of masters- and doctoral-level scientists with backgrounds ranging from biochemistry to physics. We rely on the Information Technology team for cluster maintenance and large-capacity data storage.

For more details on ongoing projects please visit the website of the Proteomics Center.



  • LTQ Linear Ion Trap Mass Spectrometers (ThermoScientific)
  • LTQ-Orbitrap Hybrid Mass Spectrometers (ThermoScientific)
  • Velos-Orbitrap Hybrid Mass Spectrometers (ThermoScientific)
  • All mass spectrometers equipped with custom-made nanospray ionization sources interfaced with Agilent 1100 Quartenary HPLC pumps or Eksigent NanoLC 2D systems
  • 252-node Beowulf Linux cluster with two master nodes dedicated to SEQUEST proteomics analysis


For more information please contact:

Laurence Florens
Head, Proteomics