Mintseris Julian, Eisen Michael B
Boston University, Bioinformatics Program, Boston, MA, USA.
BMC Bioinformatics. 2006 Oct 3;7:429. doi: 10.1186/1471-2105-7-429.
Discovery of precise specificity of transcription factors is an important step on the way to understanding the complex mechanisms of gene regulation in eukaryotes. Recently, double-stranded protein-binding microarrays were developed as a potentially scalable approach to tackle transcription factor binding site identification.
Here we present an algorithmic approach to experimental design of a microarray that allows for testing full specificity of a transcription factor binding to all possible DNA binding sites of a given length, with optimally efficient use of the array. This design is universal, works for any factor that binds a sequence motif and is not species-specific. Furthermore, simulation results show that data produced with the designed arrays is easier to analyze and would result in more precise identification of binding sites.
In this study, we present a design of a double stranded DNA microarray for protein-DNA interaction studies and show that our algorithm allows optimally efficient use of the arrays for this purpose. We believe such a design will prove useful for transcription factor binding site identification and other biological problems.
发现转录因子的精确特异性是理解真核生物基因调控复杂机制过程中的重要一步。最近,双链蛋白质结合微阵列作为一种潜在可扩展的方法被开发出来,用于解决转录因子结合位点的识别问题。
在此,我们提出一种微阵列实验设计的算法方法,该方法能够以最佳效率利用微阵列来测试转录因子与给定长度的所有可能DNA结合位点结合的完全特异性。这种设计具有通用性,适用于任何与序列基序结合的因子,且不具有物种特异性。此外,模拟结果表明,用设计的微阵列产生的数据更易于分析,并且能更精确地识别结合位点。
在本研究中,我们提出了一种用于蛋白质-DNA相互作用研究的双链DNA微阵列设计,并表明我们的算法能够为此目的最佳效率地利用微阵列。我们相信这种设计将被证明对转录因子结合位点识别及其他生物学问题有用。