Supplementary Material (ESI) for Analyst This journal is © The Royal Society of Chemistry 2010 Electronic Supplementary Inforamtion for “A practical approach to detect unique metabolic patterns for personalized medicine” by Jennifer M. Johnsona,b,c, Tianwei Yud, Frederick H. Strobele, Dean P. Jones,a,c* aDepartment of Medicine, Division of Pulmonary, Allergy and Critical Care, bNutrition and Health Sciences Graduate Program, cClinical Biomarkers Laboratory, dDepartment of Biostatistics and Bioinformatics, eMass Spectrometry Center, Emory University, Atlanta, GA, 30322, USA *Corresponding author: Email:
[email protected]; FAX: +1 404 712 2974; Tel: +1 404 727 5970 Fig S-1 a) Initial PCA analysis shows separation by run-time and column. Plasma was collected from 4 individuals, identified by colors, and run in 6 replicates on 2 columns. Results show a need for an 8 to 10 run wash-in period and a strong separation by column. b) After wash-in analyses were removed from the analysis, PCA shows a strong separation by column, indicated by solid circles, with a secondary separation by individual, indicated by broken circles. Column 1 Column 2 Day 1Day 5 Day 6 Day 10 Day 1 Day 5 Day 7 Day 10 Run order Run order Fig S-2 Correlation analysis shows experimental results obtained from each column gives the same experimental answer. Plasma from a previously described experiment21 was run using the described LC- FTMS method. Samples were run in duplicate on each of 2 columns in reverse order. Correlation analysis using R software showed that neither column nor run order had large effects on correlation patterns.