Genome wide screens in yeast to identify potential binding sites and target genes of DNA-binding proteins

被引:17
|
作者
Zeng, Jue [3 ]
Yan, Jizhou [1 ,2 ]
Wang, Ting [2 ,4 ]
Mosbrook-Davis, Deborah [1 ]
Dolan, Kyle T. [1 ]
Christensen, Ryan [4 ]
Stormo, Gary D. [4 ,5 ]
Haussler, David [2 ]
Lathrop, Richard H. [5 ,6 ,7 ]
Brachmann, Rainer K. [3 ,6 ,7 ]
Burgess, Shawn M. [1 ]
机构
[1] NHGRI, Gen Technol Branch, Bethesda, MD 20892 USA
[2] Univ Calif Santa Cruz, Ctr Biomol Sci & Engn, Howard Hughes Med Inst, Santa Cruz, CA 95064 USA
[3] Univ Calif Irvine, Div Hematol Oncol, Irvine, CA USA
[4] Washington Univ, Dept Genet, St Louis, MO 63110 USA
[5] Univ Calif Irvine, Dept Comp Sci & Biomed Engn, Irvine, CA USA
[6] Univ Calif Irvine, Inst Genom & Bioinformat, Irvine, CA USA
[7] Univ Calif Irvine, Dept Lab Med, Irvine, CA USA
关键词
D O I
10.1093/nar/gkm1117
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Knowledge of all binding sites for transcriptional activators and repressors is essential for computationally aided identification of transcriptional networks. The techniques developed for defining the binding sites of transcription factors tend to be cumbersome and not adaptable to high throughput. We refined a versatile yeast strategy to rapidly and efficiently identify genomic targets of DNA-binding proteins. Yeast expressing a transcription factor is mated to yeast containing a library of genomic fragments cloned upstream of the reporter gene URA3. DNA fragments with target-binding sites are identified by growth of yeast clones in media lacking uracil. The experimental approach was validated with the tumor suppressor protein p53 and the forkhead protein FoxI1 using genomic libraries for zebrafish and mouse generated by shotgun cloning of short genomic fragments. Computational analysis of the genomic fragments recapitulated the published consensus-binding site for each protein. Identified fragments were mapped to identify the genomic context of each binding site. Our yeast screening strategy, combined with bioinformatics approaches, will allow both detailed and high-throughput characterization of transcription factors, scalable to the analysis of all putative DNA-binding proteins.
引用
收藏
页数:8
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