title: Transcriptional regulatory circuits: predicting numbers from alphabets.
abstract: Transcriptional regulatory circuits govern how cis and trans factors transform signals into messenger RNA (mRNA) expression levels. With advances in quantitative and high-throughput technologies that allow measurement of gene expression state in different conditions, data that can be used to build and test models of transcriptional regulation is being generated at a rapid pace. Here, we review experimental and computational methods used to derive detailed quantitative circuit models on a small scale and cruder, genome-wide models on a large scale. We discuss the potential of combining small- and large-scale approaches to understand the working and wiring of transcriptional regulatory circuits.
authors.affiliation: Howard Hughes Medical Institute, Harvard University Faculty of Arts and Sciences Center for Systems Biology, Department of Molecular and Cellular Biology, Cambridge, MA 02138, USA.
authors.forename: Harold D
authors.initials: HD
authors.lastname: Kim
authors.forename: Tal
authors.initials: T
authors.lastname: Shay
authors.forename: Erin K
authors.initials: EK
authors.lastname: O'Shea
authors.forename: Aviv
authors.initials: A
authors.lastname: Regev
mesh_terms: D000818:Animals; D005057:Eukaryotic Cells; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D016678:Genome; D008957:Models, Genetic; D011387:Prokaryotic Cells