Pennacchio L A, Rubin E M
Genome Sciences Department, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
Nat Rev Genet. 2001 Feb;2(2):100-9. doi: 10.1038/35052548.
With the continuing accomplishments of the human genome project, high-throughput strategies to identify DNA sequences that are important in mammalian gene regulation are becoming increasingly feasible. In contrast to the historic, labour-intensive, wet-laboratory methods for identifying regulatory sequences, many modern approaches are heavily focused on the computational analysis of large genomic data sets. Data from inter-species genomic sequence comparisons and genome-wide expression profiling, integrated with various computational tools, are poised to contribute to the decoding of genomic sequence and to the identification of those sequences that orchestrate gene regulation. In this review, we highlight several genomic approaches that are being used to identify regulatory sequences in mammalian genomes.
随着人类基因组计划不断取得成果,用于识别在哺乳动物基因调控中起重要作用的DNA序列的高通量策略正变得越来越可行。与以往用于识别调控序列的耗时费力的湿实验室方法不同,许多现代方法都高度专注于对大型基因组数据集的计算分析。来自种间基因组序列比较和全基因组表达谱分析的数据,与各种计算工具相结合,有望为基因组序列的解码以及那些协调基因调控的序列的识别做出贡献。在这篇综述中,我们重点介绍了几种用于识别哺乳动物基因组中调控序列的基因组方法。