Identification of major histocompatibility complex-regulated body odorants by statistical analysis of a comparative gas chromatography/mass spectrometry experiment

被引:53
作者
Willse, A
Belcher, AM
Preti, G
Wahl, JH
Thresher, M
Yang, P
Yamazaki, K
Beauchamp, GK
机构
[1] Pacific NW Natl Lab, Richland, WA 99354 USA
[2] Monell Chem Senses Ctr, Philadelphia, PA 19104 USA
[3] Univ Penn, Sch Med, Dept Dermatol, Philadelphia, PA 19104 USA
关键词
D O I
10.1021/ac048711t
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper examines the application of gas chromatography/mass spectrometry (GC/MS) in a comparative experiment to identify volatile compounds from urine that differ in concentration between two groups of inbred mice. A complex mixture might comprise several hundred or even thousands of volatile compounds. Because their number and location in a chromatogram are generally unknown, and because components overlap in populous chromatograms, the statistical problems offer significant challenges beyond traditional two-group screening procedures. We describe a statistical procedure to compare two-dimensional GC/MS profiles between groups, which entails (1) signal processing, baseline correction, and peak detection in single ion chromatograms; (2) aligning chromatograms in time; (3) normalizing differences in overall signal intensities; and (4) detecting chromatographic regions that differ between groups. In an application to chemosignaling, we detect differences in GC/MS chromatograms of ether-extracted urine collected from two inbred groups of mice that differ only in genes of the major histocompatibility complex (MHC). Several dozen MHC-regulated compounds are found, including two known mouse pheromones, 2,5-dimethylpyrazine and 2-sec-butyl-4,5-dihydrothiazole.
引用
收藏
页码:2348 / 2361
页数:14
相关论文
共 32 条
[1]  
[Anonymous], 2003, Statistical Analysis of Gene Expression Microarray Data. Interdisciplinary Statistics
[2]   Reproducibility of SELDI-TOF protein patterns in serum: comparing datasets from different experiments [J].
Baggerly, KA ;
Morris, JS ;
Coombes, KR .
BIOINFORMATICS, 2004, 20 (05) :777-U710
[3]   CONTROLLING THE FALSE DISCOVERY RATE - A PRACTICAL AND POWERFUL APPROACH TO MULTIPLE TESTING [J].
BENJAMINI, Y ;
HOCHBERG, Y .
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY, 1995, 57 (01) :289-300
[4]  
DENHAM CR, MEXCDF NETCDF TOOLBO
[5]   Large-scale simultaneous hypothesis testing: The choice of a null hypothesis [J].
Efron, B .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2004, 99 (465) :96-104
[6]   Empirical Bayes analysis of a microarray experiment [J].
Efron, B ;
Tibshirani, R ;
Storey, JD ;
Tusher, V .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 2001, 96 (456) :1151-1160
[7]  
Friedman J., 2001, The elements of statistical learning, V1, DOI DOI 10.1007/978-0-387-21606-5
[8]  
Gary Mallard W., 1997, Automated Mass Spectral Deconvolution & Identification System (AMDIS)-User Guide, National Institute of Standards and Technology (NIST) Standard Reference Data Program
[9]   Searching for structure in curve samples [J].
Gasser, T ;
Kneip, A .
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION, 1995, 90 (432) :1179-1188
[10]  
Gibbons J.D., 1985, NONPARAMETRIC METHOD