Combinatorial methods for refined neuronal gene targeting

Luan, Haojiang; White, Benjamin H.

doi:10.1016/j.conb.2007.10.001

Cited by 34 publications

(25 citation statements)

References 52 publications

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“…Specific classes of cells can be targeted based on the presence of particular markers, but whether these markers separate distinct functional classes of a cell is at best uncertain and often knowingly not the case (Gordon & Whelan 2006;O'Connor et al 2009). Combinatorial strategies, where the transgene expression depends on the presence of two or more promoters, offer the hope of greater spatial precision (Luan & White 2007). Greater temporal precision is also needed to allow more rapid inducible effects in mature systems to circumvent compensatory responses to the manipulations: even the fastest inducible effects (e.g.…”

Section: Novel Techniques For Network Analysesmentioning

confidence: 99%

Neuronal network analyses: premises, promises and uncertainties

Parker

2010

Phil. Trans. R. Soc. B

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Neuronal networks assemble the cellular components needed for sensory, motor and cognitive functions. Any rational intervention in the nervous system will thus require an understanding of network function. Obtaining this understanding is widely considered to be one of the major tasks facing neuroscience today. Network analyses have been performed for some years in relatively simple systems. In addition to the direct insights these systems have provided, they also illustrate some of the difficulties of understanding network function. Nevertheless, in more complex systems (including human), claims are made that the cellular bases of behaviour are, or will shortly be, understood. While the discussion is necessarily limited, this issue will examine these claims and highlight some traditional and novel aspects of network analyses and their difficulties. This introduction discusses the criteria that need to be satisfied for network understanding, and how they relate to traditional and novel approaches being applied to addressing network function.

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Section: Novel Techniques For Network Analysesmentioning

confidence: 99%

Neuronal network analyses: premises, promises and uncertainties

Parker

2010

Phil. Trans. R. Soc. B

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“…Conversely, genomic enhancer elements have been used to drive tissue-specific expression, but the timing of expression is then entirely dependent on the endogenous regulatory mechanisms acting on the element (Köster and Fraser, 2001). Intersectional approaches, where enhancer-driven Cre recombinase removes a stop cassette blocking heat-shock function, or vice versa, can give a degree of dual control (reviewed by Luan and White, 2007), but requires task-specific transgenics (tissue-specific Cre lines, heat-shock Floxed-STOP driven gene of interest, and vice versa) and relies on an excision event that is neither time neutral nor reversible. The versatility of the binary GAL4/UAS system has revolutionized the way zebrafish biologists perform experiments.…”

Section: Temporal or Spatial Control Of Transgene Expressionmentioning

confidence: 99%

An inducible transgene expression system for zebrafish and chick

Gerety¹,

Breau²,

Sasai³

et al. 2013

Development

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SUMMARYWe have generated an inducible system to control the timing of transgene expression in zebrafish and chick. An estrogen receptor variant (ERT2) fused to the GAL4 transcriptional activator rapidly and robustly activates transcription within 3 hours of treatment with the drug 4-hydroxy-tamoxifen (4-OHT) in tissue culture and transgenic zebrafish. We have generated a broadly expressed inducible ERT2-GAL4 zebrafish line using the ubiquitin (ubi) enhancer. In addition, use of ERT2-GAL4 in conjunction with tissue-specific enhancers enables the control of transgene expression in both space and time. This spatial restriction and the ability to sustain forced expression are important advantages over the currently used heat-shock promoters. Moreover, in contrast to currently available TET and LexA systems, which require separate constructs with their own unique recognition sequences, ERT2-GAL4 is compatible with the growing stock of UAS lines being generated in the community. We also applied the same inducible system to the chick embryo and find that it is fully functional, suggesting that this strategy is generally applicable.

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“…Indeed, the mutant phenotypes described in this article may serve as exemplars of the ability of mutations to influence drug sensitivity in ways that are distant from drug action (Nash 2002). However, by focusing attention on those regions of the nervous system that receive input from the visual system, our observations should assist mechanistic studies that will use localized manipulation of excitability (Luan and White 2007) to define the functional anatomy of anesthetic responsiveness.…”

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confidence: 99%