一种在基因和探针水平上检测跨物种杂交实验中差异基因表达的方法。

Biomedical informatics insights Pub Date : 2010-03-05 eCollection Date: 2010-01-01 DOI:10.4137/BII.S3846
Ying Chen, Rebekah Wu, James Felton, David M Rocke, Anu Chakicherla
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引用次数: 4

摘要

动机:全基因组微阵列正日益成为研究模式生物对疾病、压力源或其他刺激反应的首选方法。然而,只有一些模式生物的全基因组序列是可用的,还有许多物种的基因组序列尚未获得。跨物种研究,即为一个物种开发的阵列用于研究密切相关物种的基因表达,已被用于解决这一差距,并取得了一些有希望的结果。目前的分析方法包括过滤一些显示低杂交活性的探针或基因。但共识过滤机制仍然不可用。结果:提出了一种新的掩蔽程序,基于现有的目标物种序列来过滤探针,并使用该掩蔽程序和基因集分析来研究跨物种数据集。基因集分析评估了一些先验定义的基因群与感兴趣的表型的关联。研究了基因集富集分析(GSEA)和检验统计检验(ToTS)两种方法。结果表明,掩蔽方法与ToTS方法在我们的数据集上效果良好。本文还介绍了另一种研究跨种杂交实验的方法的结果。我们假设Affymetrix微阵列的多探针结构使其能够聚集良好杂交和不良杂交探针的效应来研究一组基因。基因集分析的原理被应用于探针水平的数据而不是基因水平的数据。结果表明,ToTS可以提供有价值的信息,因此可以作为一种分析跨种杂交实验的有力技术。可用性:R代码形式的软件可在http://anson.ucdavis.edu/~ychen/cross-species.html.Supplementary上获得。data:补充数据可在http://anson.ucdavis.edu/~ychen/cross-species.html上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A Method to Detect Differential Gene expression in Cross-Species Hybridization Experiments at Gene and Probe Level.

A Method to Detect Differential Gene expression in Cross-Species Hybridization Experiments at Gene and Probe Level.

A Method to Detect Differential Gene expression in Cross-Species Hybridization Experiments at Gene and Probe Level.

A Method to Detect Differential Gene expression in Cross-Species Hybridization Experiments at Gene and Probe Level.

Motivation: Whole genome microarrays are increasingly becoming the method of choice to study responses in model organisms to disease, stressors or other stimuli. However, whole genome sequences are available for only some model organisms, and there are still many species whose genome sequences are not yet available. Cross-species studies, where arrays developed for one species are used to study gene expression in a closely related species, have been used to address this gap, with some promising results. Current analytical methods have included filtration of some probes or genes that showed low hybridization activities. But consensus filtration schemes are still not available.

Results: A novel masking procedure is proposed based on currently available target species sequences to filter out probes and study a cross-species data set using this masking procedure and gene-set analysis. Gene-set analysis evaluates the association of some priori defined gene groups with a phenotype of interest. Two methods, Gene Set Enrichment Analysis (GSEA) and Test of Test Statistics (ToTS) were investigated. The results showed that masking procedure together with ToTS method worked well in our data set. The results from an alternative way to study cross-species hybridization experiments without masking are also presented. We hypothesize that the multi-probes structure of Affymetrix microarrays makes it possible to aggregate the effects of both well-hybridized and poorly-hybridized probes to study a group of genes. The principles of gene-set analysis were applied to the probe-level data instead of gene-level data. The results showed that ToTS can give valuable information and thus can be used as a powerful technique for analyzing cross-species hybridization experiments.

Availability: Software in the form of R code is available at http://anson.ucdavis.edu/~ychen/cross-species.html.

Supplementary data: Supplementary data are available at http://anson.ucdavis.edu/~ychen/cross-species.html.

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