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SELMAP - 使用集成微流控技术对转录因子结合位点进行 SELEX 亲和力图谱 MAPping。

SELMAP - SELEX affinity landscape MAPping of transcription factor binding sites using integrated microfluidics.

机构信息

Mina and Everard Goodman Faculty of Life Sciences, Bar Ilan University, Ramat-Gan, 5290002, Israel.

Blavatnik School of Computer Science, Tel-Aviv University, Tel-Aviv, 69978, Israel.

出版信息

Sci Rep. 2016 Sep 15;6:33351. doi: 10.1038/srep33351.

Abstract

Transcription factors (TFs) alter gene expression in response to changes in the environment through sequence-specific interactions with the DNA. These interactions are best portrayed as a landscape of TF binding affinities. Current methods to study sequence-specific binding preferences suffer from limited dynamic range, sequence bias, lack of specificity and limited throughput. We have developed a microfluidic-based device for SELEX Affinity Landscape MAPping (SELMAP) of TF binding, which allows high-throughput measurement of 16 proteins in parallel. We used it to measure the relative affinities of Pho4, AtERF2 and Btd full-length proteins to millions of different DNA binding sites, and detected both high and low-affinity interactions in equilibrium conditions, generating a comprehensive landscape of the relative TF affinities to all possible DNA 6-mers, and even DNA10-mers with increased sequencing depth. Low quantities of both the TFs and DNA oligomers were sufficient for obtaining high-quality results, significantly reducing experimental costs. SELMAP allows in-depth screening of hundreds of TFs, and provides a means for better understanding of the regulatory processes that govern gene expression.

摘要

转录因子 (TFs) 通过与 DNA 的序列特异性相互作用,响应环境变化来改变基因表达。这些相互作用最好被描绘为 TF 结合亲和力的景观。目前研究序列特异性结合偏好的方法存在动态范围有限、序列偏好、缺乏特异性和通量有限等问题。我们开发了一种基于微流控的 SELEX 亲和力图谱 (SELMAP) 方法,用于 TF 结合,该方法允许同时平行测量 16 种蛋白质。我们使用它来测量 Pho4、AtERF2 和 Btd 全长蛋白对数百万种不同 DNA 结合位点的相对亲和力,并在平衡条件下检测到高亲和和低亲和相互作用,生成了所有可能的 DNA 6- mers 的相对 TF 亲和力的综合图谱,甚至在增加测序深度的情况下,还可以生成 DNA10-mers 的图谱。TF 和 DNA 寡聚物的少量用量足以获得高质量的结果,显著降低了实验成本。SELMAP 允许对数百种 TF 进行深入筛选,并为更好地理解控制基因表达的调控过程提供了一种手段。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f145/5024299/21de947515c9/srep33351-f1.jpg

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