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用微流控亲和分析从头鉴定和生物物理表征转录因子结合位点。

De novo identification and biophysical characterization of transcription-factor binding sites with microfluidic affinity analysis.

机构信息

Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, California, USA.

出版信息

Nat Biotechnol. 2010 Sep;28(9):970-5. doi: 10.1038/nbt.1675. Epub 2010 Aug 29.

Abstract

Gene expression is regulated in part by protein transcription factors that bind target regulatory DNA sequences. Predicting DNA binding sites and affinities from transcription factor sequence or structure is difficult; therefore, experimental data are required to link transcription factors to target sequences. We present a microfluidics-based approach for de novo discovery and quantitative biophysical characterization of DNA target sequences. We validated our technique by measuring sequence preferences for 28 Saccharomyces cerevisiae transcription factors with a variety of DNA-binding domains, including several that have proven difficult to study by other techniques. For each transcription factor, we measured relative binding affinities to oligonucleotides covering all possible 8-bp DNA sequences to create a comprehensive map of sequence preferences; for four transcription factors, we also determined absolute affinities. We expect that these data and future use of this technique will provide information essential for understanding transcription factor specificity, improving identification of regulatory sites and reconstructing regulatory interactions.

摘要

基因表达部分受能与靶标调控 DNA 序列结合的蛋白质转录因子调控。从转录因子序列或结构预测 DNA 结合位点和亲和力比较困难;因此,需要实验数据将转录因子与靶序列联系起来。我们提出了一种基于微流控的方法,用于从头发现和定量生物物理表征 DNA 靶序列。我们通过测量 28 种酿酒酵母转录因子的序列偏好来验证我们的技术,这些转录因子具有多种 DNA 结合域,包括一些通过其他技术难以研究的转录因子。对于每种转录因子,我们测量了覆盖所有可能的 8 个碱基对 DNA 序列的寡核苷酸的相对结合亲和力,以创建序列偏好的综合图谱;对于四个转录因子,我们还确定了绝对亲和力。我们预计这些数据和未来对该技术的应用将为理解转录因子特异性、改进调控位点识别和重建调控相互作用提供重要信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e65a/2937095/70dc8b320845/nihms227123f1.jpg

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