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抗原选择对免疫球蛋白基因的推断。

The inference of antigen selection on Ig genes.

作者信息

Lossos I S, Tibshirani R, Narasimhan B, Levy R

机构信息

Department of Medicine, Division of Oncology, Stanford University Medical Center, Stanford, CA 94305, USA.

出版信息

J Immunol. 2000 Nov 1;165(9):5122-6. doi: 10.4049/jimmunol.165.9.5122.

Abstract

Analysis of somatic mutations in V regions of Ig genes is important for understanding various biological processes. It is customary to estimate Ag selection on Ig genes by assessment of replacement (R) as opposed to silent (S) mutations in the complementary-determining regions and S as opposed to R mutations in the framework regions. In the past such an evaluation was performed using a binomial distribution model equation, which is inappropriate for Ig genes in which mutations have four different distribution possibilities (R and S mutations in the complementary-determining region and/or framework regions of the gene). In the present work, we propose a multinomial distribution model for assessment of Ag selection. Side-by-side application of multinomial and binomial models on 86 previously established Ig sequences disclosed 8 discrepancies, leading to opposite statistical conclusions about Ag selection. We suggest the use of the multinomial model for all future analysis of Ag selection.

摘要

分析免疫球蛋白(Ig)基因V区的体细胞突变对于理解各种生物学过程至关重要。习惯上通过评估互补决定区的替换(R)突变与沉默(S)突变以及框架区的S突变与R突变来估计抗原(Ag)对Ig基因的选择。过去,这种评估是使用二项分布模型方程进行的,该方程不适用于突变具有四种不同分布可能性(基因互补决定区和/或框架区中的R和S突变)的Ig基因。在本研究中,我们提出了一种用于评估Ag选择的多项分布模型。将多项分布模型和二项分布模型并行应用于86个先前建立的Ig序列,发现了8个差异,导致关于Ag选择的统计结论相反。我们建议在未来所有Ag选择分析中使用多项分布模型。

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