Minas Giorgos, Momiji Hiroshi, Jenkins Dafyd J, Costa Maria J, Rand David A, Finkenstädt Bärbel
Systems Biology Centre, University of Warwick, Coventry, CV34 4HD, UK.
Department of Statistics, University of Warwick, Coventry, CV34 4HD, UK.
BMC Bioinformatics. 2017 Jun 26;18(1):316. doi: 10.1186/s12859-017-1695-8.
Given the development of high-throughput experimental techniques, an increasing number of whole genome transcription profiling time series data sets, with good temporal resolution, are becoming available to researchers. The ReTrOS toolbox (Reconstructing Transcription Open Software) provides MATLAB-based implementations of two related methods, namely ReTrOS-Smooth and ReTrOS-Switch, for reconstructing the temporal transcriptional activity profile of a gene from given mRNA expression time series or protein reporter time series. The methods are based on fitting a differential equation model incorporating the processes of transcription, translation and degradation.
The toolbox provides a framework for model fitting along with statistical analyses of the model with a graphical interface and model visualisation. We highlight several applications of the toolbox, including the reconstruction of the temporal cascade of transcriptional activity inferred from mRNA expression data and protein reporter data in the core circadian clock in Arabidopsis thaliana, and how such reconstructed transcription profiles can be used to study the effects of different cell lines and conditions.
The ReTrOS toolbox allows users to analyse gene and/or protein expression time series where, with appropriate formulation of prior information about a minimum of kinetic parameters, in particular rates of degradation, users are able to infer timings of changes in transcriptional activity. Data from any organism and obtained from a range of technologies can be used as input due to the flexible and generic nature of the model and implementation. The output from this software provides a useful analysis of time series data and can be incorporated into further modelling approaches or in hypothesis generation.
随着高通量实验技术的发展,越来越多具有良好时间分辨率的全基因组转录谱时间序列数据集可供研究人员使用。ReTrOS工具箱(转录重建开放软件)提供了基于MATLAB的两种相关方法的实现,即ReTrOS-Smooth和ReTrOS-Switch,用于从给定的mRNA表达时间序列或蛋白质报告基因时间序列重建基因的时间转录活性谱。这些方法基于拟合一个包含转录、翻译和降解过程的微分方程模型。
该工具箱提供了一个模型拟合框架,以及通过图形界面和模型可视化对模型进行统计分析。我们重点介绍了该工具箱的几个应用,包括从拟南芥核心生物钟中的mRNA表达数据和蛋白质报告基因数据推断转录活性的时间级联重建,以及如何使用这种重建的转录谱来研究不同细胞系和条件的影响。
ReTrOS工具箱允许用户分析基因和/或蛋白质表达时间序列,在适当设定关于最少动力学参数(特别是降解速率)的先验信息的情况下,用户能够推断转录活性变化的时间。由于模型和实现的灵活性和通用性,来自任何生物体并通过一系列技术获得的数据都可以用作输入。该软件的输出为时间序列数据提供了有用的分析,并且可以纳入进一步的建模方法或假设生成中。