Non-parametric quantification of protein lysate arrays

被引:174
作者
Hu, Jianhua
He, Xuming
Baggerly, Keith A.
Coombes, Kevin R.
Hennessy, Bryan T. J.
Mills, Gordon B.
机构
[1] Univ Texas, MD Anderson Canc Ctr, Dept Bioinformat & Computat Biol, Houston, TX 77030 USA
[2] Univ Illinois, Dept Stat, Urbana, IL 61801 USA
[3] Univ Texas, MD Anderson Canc Ctr, Dept Gynecol Med Oncol, Houston, TX 77030 USA
[4] Univ Texas, MD Anderson Canc Ctr, Dept Syst Biol, Houston, TX 77030 USA
关键词
D O I
10.1093/bioinformatics/btm283
中图分类号
Q5 [生物化学];
学科分类号
071010 [生物化学与分子生物学]; 081704 [应用化学];
摘要
Motivation: Proteins play a crucial role in biological activity, so much can be learned from measuring protein expression and post-translational modification quantitatively. The reverse-phase protein lysate arrays allow us to quantify the relative expression levels of a protein in many different cellular samples simultaneously. Existing approaches to quantify protein arrays use parametric response curves fit to dilution series data. The results can be biased when the parametric function does not fit the data. Results: We propose a non-parametric approach which adapts to any monotone response curve. The non-parametric approach is shown to be promising via both simulation and real data studies; it reduces the bias due to model misspecification and protects against outliers in the data. The non-parametric approach enables more reliable quantification of protein lysate arrays.
引用
收藏
页码:1986 / 1994
页数:9
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