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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Minireview cung cấp cho các bạn kiến thức về ngành y đề tài: A TATA binding protein regulatory network that governs transcription complex assembly. | Open Access Research A TATA binding protein regulatory network that governs transcription complex assembly Kathryn L Huisinga and B Franklin Pugh Addresses Center for Gene Regulation Department of Biochemistry and Molecular Biology The Pennsylvania State University University Park PA 16802 USA. Department of Biology Washington University Saint Louis MO 63130 USA. Correspondence B Franklin Pugh. Email bfp2@psu.edu Published 2 April 2007 Genome Biology 2007 8 R46 doi 10.1 186 gb-2007-8-4-r46 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2007 8 4 R46 Received 4 September 2006 Revised 22 December 2006 Accepted 2 April 2007 2007 Huisinga and Pugh licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Background Eukaryotic genes are controlled by proteins that assemble stepwise into a transcription complex. How the individual biochemically defined assembly steps are coordinated and applied throughout a genome is largely unknown. Here we model and experimentally test a portion of the assembly process involving the regulation of the TATA binding protein TBP throughout the yeast genome. Results Biochemical knowledge was used to formulate a series of coupled TBP regulatory reactions involving TFIID SAGA NC2 Mot1 and promoter DNA. The reactions were then linked to basic segments of the transcription cycle and modeled computationally. A single framework was employed allowing the contribution of specific steps to vary from gene to gene. Promoter binding and transcriptional output were measured genome-wide using ChIP-chip and expression microarray assays. Mutagenesis was used to test the framework by shutting down specific parts of the network. Conclusion The model accounts
