title: Genetic dissection of neural circuits.
abstract: Understanding the principles of information processing in neural circuits requires systematic characterization of the participating cell types and their connections, and the ability to measure and perturb their activity. Genetic approaches promise to bring experimental access to complex neural systems, including genetic stalwarts such as the fly and mouse, but also to nongenetic systems such as primates. Together with anatomical and physiological methods, cell-type-specific expression of protein markers and sensors and transducers will be critical to construct circuit diagrams and to measure the activity of genetically defined neurons. Inactivation and activation of genetically defined cell types will establish causal relationships between activity in specific groups of neurons, circuit function, and animal behavior. Genetic analysis thus promises to reveal the logic of the neural circuits in complex brains that guide behaviors. Here we review progress in the genetic analysis of neural circuits and discuss directions for future research and development.
authors.affiliation: Department of Biology, Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
authors.forename: Liqun
authors.initials: L
authors.lastname: Luo
authors.forename: Edward M
authors.initials: EM
authors.lastname: Callaway
authors.forename: Karel
authors.initials: K
authors.lastname: Svoboda
mesh_terms: D000818:Animals; D005786:Gene Expression Regulation / Q000235:genetics* / Q000502:physiology; D006801:Humans; D009415:Nerve Net / Q000502:physiology*; D009434:Neural Pathways / Q000502:physiology; D009474:Neurons / Q000502:physiology*