期刊
MOLECULAR SYSTEMS BIOLOGY
卷 6, 期 -, 页码 -出版社
WILEY
DOI: 10.1038/msb.2009.102
关键词
biological function; embryo; gene expression; in situ hybridization; Markov Random Field
资金
- NIH [R01 GM076655, DE-AC02-05CH11231]
- NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES [R01GM076655] Funding Source: NIH RePORTER
Discovery of temporal and spatial patterns of gene expression is essential for understanding the regulatory networks and development in multicellular organisms. We analyzed the images from our large-scale spatial expression data set of early Drosophila embryonic development and present a comprehensive computational image analysis of the expression landscape. For this study, we created an innovative virtual representation of embryonic expression patterns using an elliptically shaped mesh grid that allows us to make quantitative comparisons of gene expression using a common frame of reference. Demonstrating the power of our approach, we used gene co-expression to identify distinct expression domains in the early embryo; the result is surprisingly similar to the fate map determined using laser ablation. We also used a clustering strategy to find genes with similar patterns and developed new analysis tools to detect variation within consensus patterns, adjacent non-overlapping patterns, and anti-correlated patterns. Of the 1800 genes investigated, only half had previously assigned functions. The known genes suggest developmental roles for the clusters, and identification of related patterns predicts requirements for co-occurring biological functions. Molecular Systems Biology 6: 345; published online 19 January 2010; doi:10.1038/msb.2009.102
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据