Services and Facilities

Locations

Protein Identification

Proteins of interest are identified by a variety of factors, including changes in relative abundance or alterations in apparent pI (which suggests a post-translational modification, such as phosphorylation). Proteins are immunostained and isolated, digested enzymatically, and identified by LC tandem mass spectrometric analysis (LC-ESI-MS/MS).

Shotgun Proteomics

The shotgun proteomics analysis is available to the Diabetes Research Center affiliate investigators to provide in-depth global protein identification of simple as well as complex protein samples (protein complexes, cell lysates, cell secretome, biofluids, etc). wherein shotgun proteomics enzymatic digests of proteins are separated by liquid chromatography (LC) and subjected to electrospray ionization (ESI) and data-dependent MS/MS analysis. The peptides are identified by searching against a protein database.

Spectral counting and peptide ion intensity are alternative, label-free methods for quantifying relative protein abundance and will also be made available to the Diabetes Research Center affiliate investigator. Spectral counting sums all of the MS/MS spectra observed for peptides derived from a single protein. Because abundant proteins are more likely to be identified during data-dependent MS/MS scanning, spectral counting has the potential to quantify protein levels. Spectral counting is a useful statistic for assessing relative protein abundance in biological samples.

Identifying Differential Protein Expression

Parallel reaction monitoring (PRM)

For rapid transition from shotgun proteomics to quantitative assessment of differential protein expression of specific proteins the Quantitative and Functional Proteomics Core employs PRM where a single precursor peptide ion (from selected peptides of a target protein, i.e. identified in shotgun proteomics analysis) is monitored to provide selective and specific quantification without need for time-consuming method development. This tandem MS technique greatly reduces chemical noise, markedly improving the signal-to-noise ratio and thereby sensitivity. Furthermore, the instrument’s duty cycle is almost entirely used to monitor the specific peptide ions, further increasing sensitivity.

Data Independent Analysis

Limitations of PRM for differential expression analysis are the need for an a-priori list of target proteins and corresponding peptides to be included in the target list and requirement of a separate analysis specifically for the PRM acquisition. To alleviate these limitations Data-Independent Analysis (also referred to as SWATH) has been developed where the MS/MS spectra are sequentially acquired on swaths of m/z range (e.g. each 5 m/z wide) covering full mass range without prior selection of precursors. The data analysis is then facilitated by high resolution spectra (mass accuracy 1-5 ppm) of the precursor and fragment ions and allows deconvolution of the individual precursor MS/MS spectra from coelution profiles of the precursors and fragments. DIA provides both qualitative as well as quantitative information in a single LCMS analysis providing effective analysis especially for samples with limited availability. QPFC has adapted this technology and it is now available for Diabetes Research Center affiliates.

Data analysis is facilitated by Skyline software suite which is used to visualize spectra and build scheduled PRM methods directly by predicting the retention time of previously uncharacterized peptides. As well as extract and quantify data from DIA analysis. A state-of-the-art peak-finding algorithm in Skyline then provides rapid and reliable analysis of the acquired PRM and DIA data.Skyline also contains a powerful set of tools that can determine which peak within a complex mixture is formed from a peptide of interest. To do this, Skyline uses the predicted retention time and a new scoring algorithm to compare the rank order of product ion intensities from co-varying transitions with a product ion spectrum stored in a spectrum library. The software provides full support for using standard peptide and stable isotope-labeled peptide internal standards.

Computer Cluster, Data Storage and Integration

The Core has made available to the Diabetes Research Center affiliate investigators use of a 4-multicore-node computer cluster (102 CPU), which is used to run the Comet and Xtandem search engines required for database searching. A user-friendly relational database system, Labkey Server (Labkey, Seattle), is used to store and analyze data and facilitate bioinformatics analysis and encapsulates user authentication and project management features as well as daily backups. It also allows investigators secure access the Core’s proteomic data.

Facilities

Core instrumentation

For the proteomics analysis the Core utilizes instruments its own instruments as well as instruments accessible at the UW School of Medicine Proteomics Resource, a central walk-up facility located at SLU, which provides UW investigators access to the state-of-the-art instrumentation.

  • Waters QTOF Premier with nanoelectrospray ionization and an Waters nanoAcquity UPLC for protein analysis
  • Thermo Finnigan LTQ linear ion trap instrument coupled with Michrom Bioresources Paradigm MS4B multidimensional HPLC and nanospray ionization for routine protein ID analysis;
  • Differential mobility analyzer (TSI) for analysis of particle concentration and protein size and concentration measurements.

UWPR instrumentation

  • Thermo LTQ-Orbitrap XL
  • Thermo LTQ Q Exactive Plus
  • Thermo LTQ Fusion tribrid quadrupole-orbitrap-ion trap instrument with ETD
  • Thermo LTQ Fusion Lumos tribrid instrument
  • Thermo TSQ Quantum Access
  • Thermo TSQ Vantage

All mass spectrometers are fitted with Waters nanoACQUITY UPLC systems.