Recent progress in understanding transcription factor binding specificity.
Recent progress in understanding transcription factor binding specificity.
复制标题
了解转录因子结合特异性的最新进展。
DOI:
10.1093/bfgp/elu050
复制
发表时间:
2015
影响因子:
4
通讯作者:
Bussemaker,HarmenJ
中科院分区:
文献类型:
--
作者:
Bussemaker,HarmenJ
Gene expression levels can vary greatly from gene to gene and between individuals. To understand how these differences arise, and be able to predict and manipulate them, we need to dissect the molecular mechanisms by which the regulatory programs embedded in the genome are interpreted by the cellular machinery. This issue of Briefings in Functional Genomics provides an overview of the available approaches for quantifying the nucleotide binding specificity of trans-acting factors, a prerequisite for understanding and predicting gene regulatory network function.Transcription factors typically belong to a structural family containing many other proteins with a similar amino acid sequence. Even when the difference in nucleotide sequence preference between such proteins is subtle, their target genes, and thus the processes that they control, can be quite distinct. In a pioneering microfluidics study, Maerkl and Quake (1) showed that it is possible to predict such functional differences using a quantitative, purely sequence-based, thermodynamic model. Comprehensive and accurate quantification of the DNA binding specificity of all transcription factors encoded in the genome may therefore transform our ability to make functional predictions about the regulatory network of the cell. A first review by the Noyes laboratory (2) describes the bacterial one-hybrid (B1H) approach, in which protein–DNA interaction strength is measured via expression of a reporter gene. This technology has been used to perform in-depth analyses of the variation in DNA binding specificity within the homeodomain and zinc finger families. A unique advantage of the B1H approach is the ease with which a large number of different protein sequences can be assayed in parallel.
影响因子:
4
作者:
Adam P. Joyce;Chi Zhang;P. Bradley;J. Havranek
通讯作者:
Adam P. Joyce;Chi Zhang;P. Bradley;J. Havranek
影响因子:
4
作者:
Stormo,Gary D.;Zuo,Zheng;Chang,Yiming Kenny
通讯作者:
Chang,Yiming Kenny
影响因子:
4
作者:
Andrilenas, Kellen K.;Penvose, Ashley;Siggers, Trevor
通讯作者:
Siggers, Trevor