Data mining of plasma peptide chromatograms for biomarkers of air contaminant exposures.

ABSTRACT:

Background

Interrogation of chromatographic data for biomarker discovery becomes a tedious task due to stochastic variability in retention times arising from solvent and column performance. The difficulty is further compounded when the effects of exposure (e.g. to environmental contaminants) and biological variability result in varying numbers and intensities of peaks among chromatograms.

Results

We developed a software tool to correct the stochastic time shifts in chromatographic data through iterative selection of landmark peaks and isometric interpolation to improve alignment of all chromatographic peaks. To illustrate application of the tool, plasma peptides from Fischer rats exposed for 4 h to clean air or Ottawa urban particles (EHC-93) were separated by HPLC with auto

SUBMITTER: Karthikeyan S 

PROVIDER: S-EPMC2270821 | biostudies-literature | 2008 Jan

REPOSITORIES: biostudies-literature