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Transcription Factor-Centered Yeast One-Hybrid Assay.
Ji, Xiaoyu; Wang, Liuqiang; Zang, Dandan; Wang, Yucheng.
Affiliation
  • Ji X; State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
  • Wang L; State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
  • Zang D; State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China.
  • Wang Y; State Key Laboratory of Tree Genetics and Breeding (Northeast Forestry University), Harbin, China. wangyucheng@ms.xjb.ac.cn.
Methods Mol Biol ; 1794: 183-194, 2018.
Article in En | MEDLINE | ID: mdl-29855957
ABSTRACT
The interaction between a protein and DNA is involved in almost all cellular functions, and is vitally important in transcriptional regulation. There are two complementary approaches used to detect the interactions between a transcription factor (TF) and DNA, i.e., the TF-centered or protein-DNA approach, and the gene-centered or DNA-protein approach. The yeast one-hybrid (Y1H) is a powerful and widely used gene-centered system to identify DNA-protein interactions. However, a powerful and simple TF-centered method to study protein-DNA interactions like Y1H is lacking. Here, we provide a TF-centered method based on the Y1H system to identify the motifs recognized by a defined TF, termed TF-centered Y1H. In this system, a random short DNA sequence insertion library is generated as the prey DNA sequences to interact with a defined TF as the bait. TF-centered Y1H could identify quickly the motifs bound by a defined TF, representing a reliable and efficient approach with the advantages of Y1H. Therefore, this TF-centered Y1H may have a wide application in protein-DNA interaction studies.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Arabidopsis / DNA, Plant / Two-Hybrid System Techniques / Arabidopsis Proteins Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2018 Document type: Article Affiliation country: China

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Transcription Factors / Arabidopsis / DNA, Plant / Two-Hybrid System Techniques / Arabidopsis Proteins Type of study: Prognostic_studies Language: En Journal: Methods Mol Biol Journal subject: BIOLOGIA MOLECULAR Year: 2018 Document type: Article Affiliation country: China