The RIN: an RNA integrity number for assigning integrity values to RNA measurements.
The RIN: an RNA integrity number for assigning integrity values to RNA measurements.
复制标题
DOI：
10.1186/1471-2199-7-3
复制
发表时间：
2006-01-31
影响因子：
--
通讯作者：
Ragg T
中科院分区：
文献类型：
--
作者：
Schroeder A;Mueller O;Stocker S;Salowsky R;Leiber M;Gassmann M;Lightfoot S;Menzel W;Granzow M;Ragg T
RNA分子的完整性对于试图反映RNA提取时基因表达快照的实验至关重要。直到最近，还没有可靠的标准来估计RNA样品的完整性，并且28S：18S核糖体RNA的比率（用于此目的的常用测量）已被证明是不一致的。微毛细管电泳RNA分离的出现为自动化高通量方法提供了基础，以便以明确的方式估计RNA样品的完整性。介绍了一种方法，自动选择功能的信号测量和构造回归模型的基础上贝叶斯学习技术。在贝叶斯框架中比较不同维度的特征空间，从而可以选择与具有高后验概率的模型相对应的最终特征组合。这种方法被应用到一个大的收集的电泳RNA测量记录与Agilent 2100生物分析仪提取的算法，描述RNA的完整性。由此产生的算法是一个用户独立的，自动化和可靠的程序，用于RNA质量控制的标准化，允许计算RNA完整性编号（RIN）。我们的研究结果表明，为了得到一个强大的和可靠的预测RNA的完整性，特别是如果与传统的方法相比，考虑到记录的电泳图的几个区域的特性的重要性。
The integrity of RNA molecules is of paramount importance for experiments that try to reflect the snapshot of gene expression at the moment of RNA extraction. Until recently, there has been no reliable standard for estimating the integrity of RNA samples and the ratio of 28S:18S ribosomal RNA, the common measure for this purpose, has been shown to be inconsistent. The advent of microcapillary electrophoretic RNA separation provides the basis for an automated high-throughput approach, in order to estimate the integrity of RNA samples in an unambiguous way. A method is introduced that automatically selects features from signal measurements and constructs regression models based on a Bayesian learning technique. Feature spaces of different dimensionality are compared in the Bayesian framework, which allows selecting a final feature combination corresponding to models with high posterior probability. This approach is applied to a large collection of electrophoretic RNA measurements recorded with an Agilent 2100 bioanalyzer to extract an algorithm that describes RNA integrity. The resulting algorithm is a user-independent, automated and reliable procedure for standardization of RNA quality control that allows the calculation of an RNA integrity number (RIN). Our results show the importance of taking characteristics of several regions of the recorded electropherogram into account in order to get a robust and reliable prediction of RNA integrity, especially if compared to traditional methods.
登录
查看更多内容
影响因子：
14.9
作者：
Imbeaud S;Graudens E;Boulanger V;Barlet X;Zaborski P;Eveno E;Mueller O;Schroeder A;Auffray C
通讯作者：
Auffray C
影响因子：
2.7
作者：
Miller, CL;Diglisic, S;Yolken, RH
通讯作者：
Yolken, RH
影响因子：
5
作者：
RIEDMILLER, M
通讯作者：
RIEDMILLER, M
影响因子：
2.9
作者：
Mueller, O;Hahnenberger, K;Ilsley, D
通讯作者：
Ilsley, D