is a research group at Georgetown Lombardi Comprehensive Cancer Center
, Georgetown University Medical Center
. Its goals are to develop analytical tools for mass spectrometry-based proteomics, metabolomics, and glycomics studies and to apply the tools for biomarker discovery and systems biology research.
Our research group
is composed of two components (a wet lab and a computational lab). The wet lab is focused on collection, storage, and processing of human serum and plasma samples prior to mass spectrometric data acquisition by LC/GC-MS.
In addition to a variety of LC-MS systems accessible to us at Georgetown Lombardi's Proteomics and Metabolomics Shared Resource, the following instruments are available in our wet lab:
Agilent 1260 Infinity HPLC system
LECO Pegasus HT GC-TOF MS system
Agilent GC-MS with both EI and CI sources
The combination of GC/MS and LC/MS technologies will provide complementary approaches to analyze a broad class of metabolites. The computational lab develops signal processing and machine learning methods for analysis of omics data generated in our wet lab or in other collaborating labs.
is focused on building a pipeline for mass spectrometry-based proteomic, metabolomic, and glycomic biomarker discovery studies. Our long-term goal is to find and validate candidate cancer biomarkers in human serum and plasma samples. Our pipeline involves experimental design, sample collection, sample storage, sample preparation, mass spectrometric data acquisition, data preprocessing, statistical analysis, biomarker identification and validation. Our computational group is engaged in developing signal processing and machine learning methods needed for the pipeline, while our wet lab conducts method development and sample preparation needed for mass spectrometric experiments.
are funded by grants from the National Institutes of Health (NIH)
to develop analytical tools for mass spectrometric data analysis and to find and validate metabolic, peptide, and glycan biomarkers for early detection of hepatocellular carcinoma. We collaborate with clinicians, basic scientists, computational scientists, and experts in mass spectrometry, proteomics, metabolomics, and glycomics.
In particular, we collaborate with Computational Bioinformatics and Bioimaging Laboratory of Virginia Tech
; Proteomics and Mass Spectrometry Laboratory of University of South Alabama
; Texas Tech
; and Molecular Genetics/Proteomics Core, Children National Medical Center