Amyloid-ß induces sleep fragmentation that is rescued by fatty acid binding proteins in Drosophila.

Disruption of sleep/wake activity in Alzheimer's disease (AD) patients significantly affects their quality of life and that of their caretakers and is a major contributing factor for institutionalization. Levels of amyloid-ß (Aß) have been shown to be regulated by neuronal activity and to correlate with the sleep/wake cycle. Whether consolidated sleep can be disrupted by Aß alone is not well understood. We hypothesize that Aß42 can increase wakefulness and disrupt consolidated sleep. Here we report that flies expressing the human Aß42 transgene in neurons have significantly reduced consolidated sleep compared with control flies. Fatty acid binding proteins (Fabp) are small hydrophobic ligand carriers that have been clinically implicated in AD. Aß42 flies that carry a transgene of either the Drosophila Fabp or the mammalian brain-type Fabp show a significant increase in nighttime sleep and long consolidated sleep bouts, rescuing the Aß42-induced sleep disruption. These studies suggest that alterations in Fabp levels and/or activity may be associated with sleep disturbances in AD. Future work to determine the molecular mechanisms that contribute to Fabp-mediated rescue of Aß42-induced sleep loss will be important for the development of therapeutics in the treatment of AD. © 2016 Wiley Periodicals, Inc.

Cul3 and the BTB adaptor insomniac are key regulators of sleep homeostasis and a dopamine arousal pathway in Drosophila.

Sleep is homeostatically regulated, such that sleep drive reflects the duration of prior wakefulness. However, despite the discovery of genes important for sleep, a coherent molecular model for sleep homeostasis has yet to emerge. To better understand the function and regulation of sleep, we employed a reverse-genetics approach in Drosophila. An insertion in the BTB domain protein CG32810/insomniac (inc) exhibited one of the strongest baseline sleep phenotypes thus far observed, a ~10 h sleep reduction. Importantly, this is coupled to a reduced homeostatic response to sleep deprivation, consistent with a disrupted sleep homeostat. Knockdown of the INC-interacting protein, the E3 ubiquitin ligase Cul3, results in reduced sleep duration, consolidation, and homeostasis, suggesting an important role for protein turnover in mediating INC effects. Interestingly, inc and Cul3 expression in post-mitotic neurons during development contributes to their adult sleep functions. Similar to flies with increased dopaminergic signaling, loss of inc and Cul3 result in hyper-arousability to a mechanical stimulus in adult flies. Furthermore, the inc sleep duration phenotype can be rescued by pharmacological inhibition of tyrosine hydroxylase, the rate-limiting enzyme for dopamine biosynthesis. Taken together, these results establish inc and Cul3 as important new players in setting the sleep homeostat and a dopaminergic arousal pathway in Drosophila.

Competition is a driving force in topographic mapping.

Topographic maps are the primary means of relaying spatial information in the brain. Understanding the mechanisms by which they form has been a goal of experimental and theoretical neuroscientists for decades. The projection of the retina to the superior colliculus (SC)/tectum has been an important model used to show that graded molecular cues and patterned retinal activity are required for topographic map formation. Additionally, interaxon competition has been suggested to play a role in topographic map formation; however, this view has been recently challenged. Here we present experimental and computational evidence demonstrating that interaxon competition for target space is necessary to establish topography. To test this hypothesis experimentally, we determined the nature of the retinocollicular projection in Math5 (Atoh7) mutant mice, which have severely reduced numbers of retinal ganglion cell inputs into the SC. We find that in these mice, retinal axons project to the anteromedialj portion of the SC where repulsion from ephrin-A ligands is minimized and where their attraction to the midline is maximized. This observation is consistent with the chemoaffinity model that relies on axon-axon competition as a mapping mechanism. We conclude that chemical labels plus neural activity cannot alone specify the retinocollicular projection; instead axon-axon competition is necessary to create a map. Finally, we present a mathematical model for topographic mapping that incorporates molecular labels, neural activity, and axon competition.

Locomotor activity level monitoring using the Drosophila Activity Monitoring (DAM) System.

Adult behavioral assays have been used with great success in Drosophila melanogaster to identify circadian rhythm genes. In particular, the locomotor activity assay can identify altered behavior patterns over the course of several days in small populations, or even individual flies. Commercially available, highly efficient automated systems allow for continuous data collection from large numbers of individuals, and analytical tools make it possible to quickly analyze multiple aspects of circadian behavior from each experiment. These features make the locomotor activity assay useful for high-throughput analyses, leading to the rapid discovery and functional characterization of many Drosophila circadian rhythm genes. The locomotor assay described here can simultaneously assess both circadian and sleep behavior, and several methods can be used to analyze the data generated from such assays. This protocol details the use of the Drosophila Activity Monitoring (DAM) System from TriKinetics. Briefly, the system records activity from individual flies maintained in sealed tubes placed in activity monitors. An infrared beam directed through the midpoint of each tube measures an "activity event" each time a fly crosses the beam. Events detected over the course of each consecutive sampling interval are summed and recorded over the course of the experiment for each fly. The general approaches described here can be applied to a wide range of behavioral activity experiments, including sleep deprivation analyses and general studies of hypoactivity and hyperactivity.

Processing circadian data collected from the Drosophila Activity Monitoring (DAM) System.

Adult behavioral assays have been used with great success in Drosophila melanogaster to identify circadian rhythm genes. In particular, the locomotor activity assay can identify altered behavior patterns over the course of several days in small populations, or even individual flies. Generally, circadian behavior is assayed during a period of 12 h light:12 h dark cycling (LD entrainment) followed by conditions of constant darkness (DD). LD activity profiles provide a qualitative image of daily activity bouts, and the data can be used to quantitatively assess the phase and/or amplitude of particular bouts. Additional activity assessments made from entrained flies that have been shifted to constant darkness can provide insight into the state of internal clocks and the ability of these clocks to drive rhythmic outputs. Typical LD DD runs assess both free-running rhythmicity and period length with χ2 periodogram (P'gram) analysis. This protocol describes the use of ClockLab (a MATLAB-based program) and the Counting Macro (an Excel-based program) to analyze circadian locomotor activity data collected using the Drosophila Activity Monitoring (DAM) System from TriKinetics. Specific procedures are described to analyze free-running rhythmicity and period length for individual flies, and assess group activity plots during both entrainment and constant conditions.

Processing sleep data created with the Drosophila Activity Monitoring (DAM) System.

Adult behavioral assays have been used with great success in Drosophila melanogaster to identify circadian rhythm genes. In particular, the locomotor activity assay can identify altered behavior patterns over the course of several days in small populations, or even individual flies. Sleep is a highly conserved behavior that is required for optimal performance and, in many cases, life of an organism. Drosophila demonstrate a behavioral state that shows traits consistent with sleep: periods of relative behavioral immobility that coincide with an increased arousal threshold after ~5 min of inactivity, regulated by circadian and homeostatic mechanisms. However, because flies do not produce brain waves recordable by electroencephalography, sleep researchers use behavior-based paradigms to infer when a fly is asleep, as opposed to awake but immobile. Data on Drosophila activity can be collected using an automated monitoring system to provide insight into sleep duration, consolidation, and latency, as well as sleep deprivation and rebound. This protocol details the use of Counting Macro, an Excel-based program, to process data created with the Drosophila Activity Monitoring (DAM) System from TriKinetics for sleep analyses. Specifically, it details the steps necessary to convert the raw data created by the DAM System into sleep duration and consolidation data, broken down into the light (L), dark (D), light:dark cycling (LD), and constant darkness (DD) phases of a behavior experiment.

Selective disruption of one Cartesian axis of cortical maps and receptive fields by deficiency in ephrin-As and structured activity.

The topographic representation of visual space is preserved from retina to thalamus to cortex. We have previously shown that precise mapping of thalamocortical projections requires both molecular cues and structured retinal activity. To probe the interaction between these two mechanisms, we studied mice deficient in both ephrin-As and retinal waves. Functional and anatomical cortical maps in these mice were nearly abolished along the nasotemporal (azimuth) axis of the visual space. Both the structure of single-cell receptive fields and large-scale topography were severely distorted. These results demonstrate that ephrin-As and structured neuronal activity are two distinct pathways that mediate map formation in the visual cortex and together account almost completely for the formation of the azimuth map. Despite the dramatic disruption of azimuthal topography, the dorsoventral (elevation) map was relatively normal, indicating that the two axes of the cortical map are organized by separate mechanisms.

Ephrin-As and patterned retinal activity act together in the development of topographic maps in the primary visual system.

The development of topographic maps in the primary visual system is thought to rely on a combination of EphA/ephrin-A interactions and patterned neural activity. Here, we characterize the retinogeniculate and retinocollicular maps of mice mutant for ephrins-A2, -A3, and -A5 (the three ephrin-As expressed in the mouse visual system), mice mutant for the beta2 subunit of the nicotinic acetylcholine receptor (that lack early patterned retinal activity), and mice mutant for both ephrin-As and beta2. We also provide the first comprehensive anatomical description of the topographic connections between the retina and the dorsal lateral geniculate nucleus. We find that, although ephrin-A2/A3/A5 triple knock-out mice have severe mapping defects in both projections, they do not completely lack topography. Mice lacking beta2-dependent retinal activity have nearly normal topography but fail to refine axonal arbors. Mice mutant for both ephrin-As and beta2 have synergistic mapping defects that result in a near absence of map in the retinocollicular projection; however, the retinogeniculate projection is not as severely disrupted as the retinocollicular projection is in these mutants. These results show that ephrin-As and patterned retinal activity act together to establish topographic maps, and demonstrate that midbrain and forebrain connections have a differential requirement for ephrin-As and patterned retinal activity in topographic map development.

Ephrin-As and neural activity are required for eye-specific patterning during retinogeniculate mapping.

In mammals, retinal ganglion cell (RGC) projections initially intermingle and then segregate into a stereotyped pattern of eye-specific layers in the dorsal lateral geniculate nucleus (dLGN). Here we found that in mice deficient for ephrin-A2, ephrin-A3 and ephrin-A5, eye-specific inputs segregated but the shape and location of eye-specific layers were profoundly disrupted. In contrast, mice that lacked correlated retinal activity did not segregate eye-specific inputs. Inhibition of correlated neural activity in ephrin mutants led to overlapping retinal projections that were located in inappropriate regions of the dLGN. Thus, ephrin-As and neural activity act together to control patterning of eye-specific retinogeniculate layers.