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NextPBM:研究细胞特异性转录因子结合和协同作用的平台。

NextPBM: a platform to study cell-specific transcription factor binding and cooperativity.

机构信息

Department of Biology and Biological Design Center, Boston University, Boston, MA, USA.

Bioinformatics Program, Boston University, Boston, MA, USA.

出版信息

Nucleic Acids Res. 2019 Apr 8;47(6):e31. doi: 10.1093/nar/gkz020.

Abstract

High-throughput (HT) in vitro methods for measuring protein-DNA binding have become invaluable for characterizing transcription factor (TF) complexes and modeling gene regulation. However, current methods do not utilize endogenous proteins and, therefore, do not quantify the impact of cell-specific post-translational modifications (PTMs) and cooperative cofactors. We introduce the HT nextPBM (nuclear extract protein-binding microarray) approach to study DNA binding of native cellular TFs that accounts for PTMs and cell-specific cofactors. We integrate immune-depletion and phosphatase treatment steps into our nextPBM pipeline to characterize the impact of cofactors and phosphorylation on TF binding. We analyze binding of PU.1/SPI1 and IRF8 from human monocytes, delineate DNA-sequence determinants for their cooperativity, and show how PU.1 affinity correlates with enhancer status and the presence of cooperative and collaborative cofactors. We describe how nextPBMs, and our accompanying computational framework, can be used to discover cell-specific cofactors, screen for synthetic cooperative DNA elements, and characterize TF cooperativity.

摘要

高通量(HT)体外方法在测量蛋白质-DNA 结合方面已经变得非常有价值,可用于研究转录因子(TF)复合物和模拟基因调控。然而,目前的方法没有利用内源性蛋白质,因此无法量化细胞特异性翻译后修饰(PTM)和协同共因子的影响。我们引入了 HT nextPBM(核提取物蛋白质结合微阵列)方法来研究天然细胞 TF 的 DNA 结合,该方法考虑了 PTM 和细胞特异性共因子。我们将免疫耗竭和磷酸酶处理步骤整合到我们的 nextPBM 管道中,以研究共因子和磷酸化对 TF 结合的影响。我们分析了来自人类单核细胞的 PU.1/SPI1 和 IRF8 的结合,描绘了它们协同作用的 DNA 序列决定因素,并展示了 PU.1 亲和力如何与增强子状态以及协同和协作共因子的存在相关。我们描述了 nextPBM 及其伴随的计算框架如何用于发现细胞特异性共因子、筛选合成协同 DNA 元件以及表征 TF 协同作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c1a/6451091/47e32a01743d/gkz020fig1.jpg

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