Current Projects

  • Analysis of racial disparities in HCC by systems metabolomics. National Cancer Institute (NCI) U01CA185188 (PI: Ressom)
  • The goal of this project is to find and validate race-specific biomarkers for HCC and identify perturbed intercellular signaling pathways in HCC. The specific aims are to: (1) perform targeted analysis of metabolites in liver tissues and sera for identification of race-specific biomarkers for HCC; (2) identify aberrant pathways and network activities using systems metabolomics approaches; and (3) conduct validation and functional characterization of candidate biomarkers and aberrant pathways through in vitro and in vivo experiments.

  • Analysis of LC-MS data to identify peptide and glycan biomarkers for Hepatocellular Carcinoma. National Cancer Institute (NCI) R01CA143420 (PI: Ressom)
  • The goal of this project is to find and validate peptide and glycan biomarkers for early detection of hepatocellular carcinoma (HCC) in a high risk population of cirrhotic patients. The specific aims are to: (1) develop a Bayesian hierarchical model for alignment and normalization of liquid chromatography mass spectrometry (LC-MS) data; the model will be used for label-free quantification and comparison of peptides and glycans by LC-MS systems. (2) identify and validate an integrated set of candidate peptide and glycan biomarkers for early detection of hepatocellular carcinoma; a novel machine learning method will integrate peptide and glycan biomarkers to enhance their diagnostic capability.

  • Quantitative analysis of LC-MS data for peptide and glycan biomarker discovery. National Institute of General Medicine (NIGMS) R01GM086746 (PI: Ressom)
  • The goal of this project is to develop computational methods for quantitative comparison of peptides and glycans in serum and plasma samples by label-free LC-ESI-MS and LC-MALDI-TOF methods. The specific aims are to: (1) develop a probabilistic-based mixture regression model for alignment of LC-ESI-MS data, (2) develop a clustering-based method for alignment of LC-MALDI-TOF data, (3) identify differentially abundant peptides and glycans between distinct biological groups, and (4) identify key pathways enriched by multiple candidate biomarkers.

    Previous Projects

  • Metabolomic and integromic approaches to identify fingerprints for early detection and treatment of liver cancer. NCI R21 CA153176 (PI: Ressom)
  • III-CXT-Small: Analysis of mass spectrometry data for biomarker discovery. National Science Foundation (NSF) IIS-0812246 (PI: Ressom)
  • Peptide biomarker discovery by mass spectrometry for early detection of liver cancer. NCI R21 CA130837 (PI: Ressom)
  • Novel analytical tools for biomarker discovery from mass spectrometry data. Associate Membership to NCI's Early Detection Research Network (PI: Ressom)
  • Identification of serum biomarkers for early detection of liver cancer. Prevent Cancer Foundation (PI: Ressom)
  • Novel machine learning methods for analysis of MALDI-TOF mass spectrometry data. NCI R03 CA119313 (PI: Ressom).
  • A pattern recognition system for identifying organic compounds from XMF EEMs. National Aeronautics and Space Administration (NASA) (PI: Ressom)
  • Integrated fluorocarbon microsensor system using catalytic modification. NSF CBET-0428341 (PI: Wheeler, Co-PIs: Ressom and Pereira da Cunha)
  • Acquisition of an x-band satellite data groundstation for regional multidisciplinary research. NSF EIA-0131889 (PI: Thomas, Co-PIs: Beard-Tisdale, Sader, and Ressom)
  • Biodiversity and ecosystems informatics. NSF OCE-0420393 (PI: Musavi, Co-PIs: Markowsky, Hinkle, Stefanidis, and Ressom)
  • Accurate DNA base calling. NSF DBI-0090738 (PI: Musavi, Co-PIs: Van Beneden, Ressom, and Domnisoru)
  • Analysis of gene expression data from Rhizoctonia solani using a novel clustering algorithm. University of Maine Faculty Research Fund (PI: Ressom, Co-PI: Tavantzis)
  • Seagrass health estimation using neural networks. Maine Space Grant Consortium (PI: Ressom)
  • Neural network-based estimation of chlorophyll-a concentration in coastal waters. NASA and the Maine Space Grant Consortium (PI: Ressom)