A modified bacterial one-hybrid system yields improved quantitative models of transcription factor specificity.

ABSTRACT: We examine the use of high-throughput sequencing on binding sites recovered using a bacterial one-hybrid (B1H) system and find that improved models of transcription factor (TF) binding specificity can be obtained compared to standard methods of sequencing a small subset of the selected clones. We can obtain even more accurate binding models using a modified version of B1H selection method with constrained variation (CV-B1H). However, achieving these improved models using CV-B1H data required the development of a new method of analysis--GRaMS (Growth Rate Modeling of Specificity)--that estimates bacterial growth rates as a function of the quality of the recognition sequence. We benchmark these different methods of motif discovery using Zif268, a well-characterized C(2)H(2) zinc-finger TF on

SUBMITTER: Christensen RG 

PROVIDER: S-EPMC3130293 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature