Mapping Neural Circuits with Activity-Dependent Nuclear Import of a Transcription Factor

Masuyama, Kaoru; Zhang, Yi; Rao, Yi; Wang, Jing W.

doi:10.3109/01677063.2011.642910

Cited by 202 publications

(218 citation statements)

References 50 publications

Supporting

Mentioning

204

Contrasting

Order By: Relevance

“…The vast catalog of new transgenic drivers in the FlyLight Gal4 library (Jenett et al, 2012) provides an unrivaled opportunity for targeted control of individually identifiable neurons. Activitydependent restructuring underlying refinement of synaptic partnerships could be further pursued in conjunction with new mapping strategies, such as genetic reconstitution across synaptic partners (GRASP) (Feinberg et al, 2008) or the CaLexA system of neural tracing (Masuyama et al, 2012). Recent efforts have generated increasingly precise maps of Drosophila brain circuits, including MB circuitry (Parnas et al, 2013;Perisse et al, 2013) and linked AL circuitry (Tanaka et al, 2012).…”

Section: Discussionmentioning

confidence: 99%

Activity-dependent FMRP requirements in development of the neural circuitry of learning and memory

2015

View full text Add to dashboard Cite

The activity-dependent refinement of neural circuit connectivity during critical periods of brain development is essential for optimized behavioral performance. We hypothesize that this mechanism is defective in fragile X syndrome (FXS), the leading heritable cause of intellectual disability and autism spectrum disorders. Here, we use optogenetic tools in the Drosophila FXS disease model to test activitydependent dendritogenesis in two extrinsic neurons of the mushroom body (MB) learning and memory brain center: (1) the input projection neuron (PN) innervating Kenyon cells (KCs) in the MB calyx microglomeruli and (2) the output MVP2 neuron innervated by KCs in the MB peduncle. Both input and output neuron classes exhibit distinctive activity-dependent critical period dendritic remodeling. MVP2 arbors expand in Drosophila mutants null for fragile X mental retardation 1 (dfmr1), as well as following channelrhodopsin-driven depolarization during critical period development, but are reduced by halorhodopsin-driven hyperpolarization. Optogenetic manipulation of PNs causes the opposite outcome -reduced dendritic arbors following channelrhodopsin depolarization and expanded arbors following halorhodopsin hyperpolarization during development. Importantly, activity-dependent dendritogenesis in both neuron classes absolutely requires dfmr1 during one developmental window. These results show that dfmr1 acts in a neuron type-specific activity-dependent manner for sculpting dendritic arbors during early-use, critical period development of learning and memory circuitry in the Drosophila brain.

show abstract

Section: Discussionmentioning

confidence: 99%

Activity-dependent FMRP requirements in development of the neural circuitry of learning and memory

2015

View full text Add to dashboard Cite

show abstract

“…Given the role of the fat body as the central hub in inter-organ communication, in vivo monitoring of signaling pathway activities is particularly valuable. Examples are the tGPH sensor (a fusion protein of GFP with the pleckstrin homology domain of the Drosophila homolog of the general receptor for phosphoinositides-1 expressed under the control of the Drosophila β-tubulin promoter), used to monitor phosphoinositide 3-kinase signaling (Britton et al, 2002), or the calcium-dependent nuclear import of LexA (CaLexA) system, used to monitor iCa 2+ second messenger signaling (Masuyama et al, 2012). Lipid turnover in larval oenocytes and the fat body has been monitored by coherent anti-Stokes Raman scattering (CARS) microscopy (Chien et al, 2012).…”

Section: The Fat Body and Oenocytesmentioning

confidence: 99%

Drosophilaas a model to study obesity and metabolic disease

Musselman

Kühnlein

2018

Journal of Experimental Biology

175

130

View full text Add to dashboard Cite

Excess adipose fat accumulation, or obesity, is a growing problem worldwide in terms of both the rate of incidence and the severity of obesity-associated metabolic disease. Adipose tissue evolved in animals as a specialized dynamic lipid storage depot: adipose cells synthesize fat (a process called lipogenesis) when energy is plentiful and mobilize stored fat (a process called lipolysis) when energy is needed. When a disruption of lipid homeostasis favors increased fat synthesis and storage with little turnover owing to genetic predisposition, overnutrition or sedentary living, complications such as diabetes and cardiovascular disease are more likely to arise. The vinegar fly Drosophila melanogaster (Diptera: Drosophilidae) is used as a model to better understand the mechanisms governing fat metabolism and distribution. Flies offer a wealth of paradigms with which to study the regulation and physiological effects of fat accumulation. Obese flies accumulate triacylglycerols in the fat body, an organ similar to mammalian adipose tissue, which specializes in lipid storage and catabolism. Discoveries in Drosophila have ranged from endocrine hormones that control obesity to subcellular mechanisms that regulate lipogenesis and lipolysis, many of which are evolutionarily conserved. Furthermore, obese flies exhibit pathophysiological complications, including hyperglycemia, reduced longevity and cardiovascular functionsimilar to those observed in obese humans. Here, we review some of the salient features of the fly that enable researchers to study the contributions of feeding, absorption, distribution and the metabolism of lipids to systemic physiology.

show abstract

“…The activity of neurons can be assessed through the use of different genetically encoded indicators of neural activity (Grienberger and Konnerth 2012;Masuyama et al 2012;Broussard et al 2014;Fosque et al 2015;Gao et al 2015;Dana et al 2016). For example, genetically encoded calcium indicators (GECIs) increase their fluorescence as calcium levels rise in active neurons.…”

Section: Assessing Functional Connectivity Among Neuronsmentioning

confidence: 99%

Targeted manipulation of neuronal activity in behaving adult flies

Hampel

Seeds

2016

Preprint

View full text Add to dashboard Cite

The ability to control the activity of specific neurons in freely behaving animals provides an effective way to probe the contributions of neural circuits to behavior. Wide interest in studying principles of neural circuit function using the fruit fly Drosophila melanogaster has fueled the construction of an extensive transgenic toolkit for performing such neural manipulations. Here we describe approaches for using these tools to manipulate the activity of specific neurons and assess how those manipulations impact the behavior of flies. We also describe methods for examining connectivity among multiple neurons that together form a neural circuit controlling a specific behavior. This work provides a resource ABSTRACTThe ability to control the activity of specific neurons in freely behaving animals provides an effective way to probe the contributions of neural circuits to behavior. Wide interest in studying principles of neural circuit function using the fruit fly Drosophila melanogaster has fueled the construction of an extensive transgenic toolkit for performing such neural manipulations. Here we describe approaches for using these tools to manipulate the activity of specific neurons and assess how those manipulations impact the behavior of flies. We also describe methods for examining connectivity among multiple neurons that together form a neural circuit controlling a specific behavior. This work provides a resource for researchers interested in examining how neurons and neural circuits contribute to the rich repertoire of behaviors performed by flies.

show abstract

Mapping Neural Circuits with Activity-Dependent Nuclear Import of a Transcription Factor

Cited by 202 publications

References 50 publications

Activity-dependent FMRP requirements in development of the neural circuitry of learning and memory

Activity-dependent FMRP requirements in development of the neural circuitry of learning and memory

Drosophilaas a model to study obesity and metabolic disease

Targeted manipulation of neuronal activity in behaving adult flies

Contact Info

Product

Resources

About