Global Forensic Chemical Exposure Assessment for the Environmental Exposome
EMSL Project ID
48246
Abstract
The absence of methodology for making unique chemical identifications of 100’s or 1000s of chemicals in a single analysis is the most significant obstacle to the global assessment of chemical exposure. This capability will unlock the potential to integrate genomic and exposure data for the prediction of biological outcome/phenotype. We will develop the first “chemical identity” accurate mass and time (AMT) tag library for 500-1000 environmentally relevant chemicals representing three strategic categories selected to meet the needs of the DOE and other major laboratory research sponsors (DTRA/DARPA, NIH, ACC, EPA). The Global Chemical Exposure AMT Tag Library will be applied to human serum and or urine samples from 1-3 human cohorts reflecting exposure to specific laboratory and DOE missions. The availability of the global exposure data will enable PNNL to pioneer the integration of the exposome with knowledge of the state and function of the genome for predicting phenotype, a frontier for environmental and genomic sciences. The exposure assessment and integration will drive laboratory innovation in informatics, bioinformatics, instrumentation and genomics. This work proposes to Specific Aim 1: Develop the first accurate mass and time tag library for environmental chemicals of significance using a novel, extremely high throughput ion mobility spectrometry-mass spectrometry analysis platform.
Specific Aim 2: Optimize sample preparation and analysis conditions for quantitative chemical assessment in biological fluids.
Specific Aim 3: Assess internal exposure to three classes of materials essential to laboratory missions in human serum or urine samples.
Project Details
Start Date
2014-01-07
End Date
2016-09-30
Status
Closed
Released Data Link
Team
Principal Investigator
Co-Investigator(s)
Team Members
Related Publications
Ma J, CP Casey, X Zheng, YM Ibrahim, CS Wilkins, RS Renslow, DG Thomas, SH Payne, ME Monroe, RD Smith, JG Teeguarden, EM Baker, and TO Metz. 2017. "PIXiE: An Algorithm for Automated Ion Mobility Arrival Time Extraction and Collision Cross Section Calculation using Global Data Association." Bioinformatics 33(17):2715–2722. doi:10.1093/bioinformatics/btx305
Metz TO, EM Baker, EL Schymanski, RS Renslow, DG Thomas, TJ Causon, IK Webb, S Hann, RD Smith, and JG Teeguarden. 2017." Integrating Ion Mobility Spectrometry into Mass Spectrometry-based Exposome Measurements: What Can It Add and How Far Can It Go?"Bioanalysis 9(1):81-98. doi:10.4155/bio-2016-0244