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Title: Metabolomics and Proteomics Core Facilities are composed of several major operations that involve a


1
RESEARCH CONTRIBUTION HIGHLIGHT
LIST OF SERVICES
OVERVIEW
  • High throughput protein/metabolite profiling with
    LC-MSn or GCxGC-MS
  • Various off-line HPLC separations and molecule
    isolation
  • Identification and characterization of molecules
  • Automated/manual sample preparation and Solid
    Phase Extraction (SPE)
  • Automated/manual computer search and data
    analyses
  • Methods development and consultation
  • Bioinformatic consultation
  • Complete training in metabolomics/proteomics
    technologies

Metabolomics and Proteomics Core Facilities are
composed of several major operations that involve
a variety of expertise for metabolomic and
proteomic analysis. Each laboratory provides
complementary expertise that globally serves to
enhance the research capabilities of the Life
Science research community on campus and in the
region. The Bindley Bioscience Center provides
research administrative oversight to coordinate
the functional linkages between these various
operations and to ensure the continued
improvement of the technical capabilities.
  • Cellular response to stimuli is reflected by
    changes in concentration of metabolites and/or
    protein expression, post-translation
    modifications or post-translational processing of
    proteins. The identification of these changes is
    essential for understanding biological processes.
    In proteomics, large number of proteins from one
    or more samples is analyzed simultaneously and at
    least one or more quantitative and qualitative
    analyses are made on the sample components.
    Sample complexity generally varies from a few
    thousand to tens of thousands of proteins. It is
    recognized that complex samples require extensive
    separation before any quantitative and
    qualitative analyses can be used. The metabolome,
    on the other hand, is unique from the proteome in
    that it is not directly encoded by the genome.
    This makes the task for characterizing the
    metabolome more difficult because there is not a
    unique correspondence between the number of genes
    and metabolites present. Metabolomics and
    Proteomics Core Facilities use state-of-the-art
    technologies, develop new methods, and provide
    resources for both qualitative and quantitative
    analysis. Examples of ongoing projects include
  • Determination of Energy Related Metabolites by
    GC/MS and LC/MS (with Dr. Ho from Laboratory of
    Renewable Resources Engineering at Purdue
    University). To improve precision in absolute
    quantification, we have introduced a new
    post-biosynthetic stable isotope encoding concept
    called Group Specific Internal Standard
    Technology (GSIST). In GSIST, Metabolite
    standards and experimental samples are
    derivatized with two different labeling agents
    that are chemically identical but isotopically
    distinct (12C vs 13C). After mixing these
    derivatized metabolites, each molecule from
    control or standard sample serves as an internal
    standard for determining the concentration of the
    chemically identical component in experimental
    sample. This Method was used in studies focused
    on improvement of the conversion of
    lignocellulosic biomass to ethanol by recombinant
    saccharomyces yeast.
  • Use of proteomics and metabolomics techniques for
    Biomarker Identification in Vertebrate and
    Invertebrate Species Exposed to Various
    Environmental Stressors
  • (with Dr. Sepulveda from Forestry and Natural
    Resources at Purdue University). A 2DGE and
    GCxGC/MS analyses are utilized to evaluate
    proteomic and metabolomic changes unique to
    specific environmental stressors. Significant
    variations were observed in great blue heron
    (Ardea herodias) eggs exposed to varying
    polychlorinated biphenyl (PCB) concentrations,
    different populations of a freshwater amphipod,
    Diporeia, residing in Lake Michigan as well as
    Diporeia exposed to atrazine and its metabolite
    desethylatrazine (DEA).
  •  Oxidative Stress in Drosophila (with Dr.
    Pittendrigh from Department of Entomology at
    Purdue University). Novel proteomics and
    metabolomics approaches were developed for the
    quantification and identification of
    differentially expressed proteins and metabolites
    involved in energy metabolism of Drosophila
    exposed to oxidative stressors such as peroxide
    and methamphetamine.
  •  Lipidomic Profiling of Cells Infected by Dengue
    Virus (with Dr. Kuhn from Biological Sciences at
    Purdue University). Improved HPLC-MS approach
    was used for the identification of phospholipid
    biomarkers of Dengue virus infection. Of those,
    23 phospholipids were up or down regulated in 80
    of the experimental samples. Future work will
    expand to cholesterol and sphingolipid
    evaluations.
  •  Determination of Ganoderic Acids in Mushrooms as
    Potential Therapeutic Agents for Cancer (with Dr.
    Sliva from Indiana University). GSIST approach
    was used to identify active componds in Ganoderma
    mushroom extract These compounds are under
    investigation as potential cancer therapeutic
    agents. A protocol was also developed to evaluate
    ganoderic acids in rat plasma collected over 24
    hours after ingestion and their adsorption
    profile was determined while simultaneously
    monitoring for related metabolites.

RESOURCES
QUALITY CONTROL AND ASSURANCES
  • Proteomics and Metabolomics Facilities share
    roughly 3,000 ft2 space of the BIND, HORT, and
    HANS buildings at Purdue University. Major
    equipment includes
  • Waters Micromass Q-TOF micro coupled to HPLC
    (equipped with regular and nano electrospray
    ionization source capable of MS/MS analyses).
    The instrument is a high resolution
    time-of-flight (TOF) mass spectrometer that
    enables automated exact mass measurements. The
    instrument also features a quadrupole mass filter
    and collision cell for MS/MS analyses.
  • LECO Pegasus 4D GCxGC-TOF (capable of MS
    analyses) enables to detect hundreds-to-thousands
    more compounds than previously seen using
    conventional GC techniques. Powerful, easy-to-use
    Windows-based ChromaTOF software simplifies
    component identification providing a significant
    increase in efficiency and productivity.
  • Agilent MSD/TOF coupled to HPLC (equipped with
    regular and nano electrospray ionization source
    capable of MS analyses). The MSD TOF offers
    outstanding mass resolution and accuracy.
  • Waters Micromass LCT Premier (TOF) coupled to
    HPLC (equipped with regular and nano electrospray
    ionization source capable of MS analyses). The
    instrument is equipped with W-Optics, novel
    method for enhancing resolution without
    increasing footprint.
  • Agilent nanoLC-ion trap XCT plus can perform
    multiple MS/MS scan with rapid scanning speed and
    very high sensitivity. The XCT plus is coupled
    to the Chip Cube system for low sample volume
    analyses.
  • AB QSTAR Pulsar (Q/TOF) coupled to nanoUPLC
    (Waters) combines ESI ionization with the hybrid
    quadrupole TOF analyzer for multi charge, high
    resolution analysis.
  • AB 4800 MALDI TOF/TOF provides high sensitivity
    and mass accuracy. In addition, since there is
    usually only a singly charged ion formed, it is a
    good choice for the analysis of heterogeneous
    samples. Furthermore, the static nature of the
    sample allows for multiple evaluations on a
    single sample. 

The inclusion of mass spectral data from
higher-throughput methods creates a bottleneck
with laborious data management and analysis
phases that are increasingly error prone due to
the complexity of the information. To overcome
this issue innovative and efficient
bioinformatics infrastructure has been created at
the Bindley for data management and data mining.
The Purdue Discovery Pipeline (PDP) automatically
performs online experimental data quality
control. Data that meet quality standards are
transferred into a common data format and
archived in the central database. The user can
build a data mining workflow from a pool of
available informatics tools.
CONTACT INFORMATION
Jiri Adamec, Ph.D. Purdue University Bindley
Bioscience Center, BIND 112 1203 W. State
Street West Lafayette, IN 47907 Email
jadamec_at_purdue.edu Phone      765-496-6148 Fax
       765-496-1518
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