title: Recent advances in single-cell studies of gene regulation.
abstract: A mechanistic understanding of gene regulatory network dynamics requires quantitative single-cell data of multiple network components in response to well-defined perturbations. Recent advances in the development of fluorescent biomarkers for proteins, detection of RNA and interactions, microfluidic technology, and high-resolution imaging have set the stage for a host of new studies that elucidate the important roles of stochasticity and cell-cell variability in response to external perturbations. In this review, we briefly describe methods for high-resolution visualization and the control of gene expression, along with application of these novel methods to recent studies involving gene networks.
authors.affiliation: Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
authors.forename: Jangir
authors.initials: J
authors.lastname: Selimkhanov
authors.forename: Jeff
authors.initials: J
authors.lastname: Hasty
authors.forename: Lev S
authors.initials: LS
authors.lastname: Tsimring
mesh_terms: D000818:Animals; D001419:Bacteria / Q000166:cytology; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks; D006801:Humans; D057054:Molecular Imaging; D059010:Single-Cell Analysis / Q000379:methods*