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Drosophila melanogaster as a model organism for Alzheimer’s disease
Molecular Neurodegeneration volume 8, Article number: 35 (2013)
Drosophila melanogaster provides an important resource for in vivo modifier screens of neurodegenerative diseases. To study the underlying pathogenesis of Alzheimer’s disease, fly models that address Tau or amyloid toxicity have been developed. Overexpression of human wild-type or mutant Tau causes age-dependent neurodegeneration, axonal transport defects and early death. Large-scale screens utilizing a neurodegenerative phenotype induced by eye-specific overexpression of human Tau have identified several kinases and phosphatases, apoptotic regulators and cytoskeleton proteins as determinants of Tau toxicity in vivo. The APP ortholog of Drosophila (dAPPl) shares the characteristic domains with vertebrate APP family members, but does not contain the human Aβ42 domain. To circumvent this drawback, researches have developed strategies by either direct secretion of human Aβ42 or triple transgenic flies expressing human APP, β-secretase and Drosophila γ-secretase presenilin (dPsn). Here, we provide a brief overview of how fly models of AD have contributed to our knowledge of the pathomechanisms of disease.
Alzheimer’s disease (AD) is the most common irreversible cause of dementia. It is characterized by cognitive impairment and progressive neurodegeneration and affects more than 24 million people worldwide . With AD diagnoses being on the rise, burdening existing healthcare support mechanisms, the disease is set to wreak havoc on the healthcare industry. Definite diagnosis of AD requires the correct identification of classical neuropathological hallmarks, which are extracellular amyloid plaques and intracellular neurofibrillary tangles.
Plaques are primarily composed of Amyloid-β peptides (Aβ) generated by differential proteolytic cleavage of the transmembrane receptor Amyloid Precursor Protein (APP). The endoproteolysis is performed by the β-site APP-cleaving enzyme (BACE) and γ-secretases, consisting of Presenilin 1/2, Nicastrin, APH-1 and PEN-2 . Among other peptides and proteins, the two cleavage products Aβ40 and Aβ42 are found in plaques. However, Aβ42 is the predominant form and is considered to be the main amyloidogenic peptide as it forms fibrils more easily .
The neurofibrillary tangles are composed of hyperphosphorylated Tau proteins and are found intracellularly in affected neurons. In non-disease situation, Tau is bound to microtubuli (MT) and thereby leads to the stabilization of MT. The affinity of Tau to MT is regulated by phosphorylation of Tau’s MT binding sites. A high degree of phosphorylation results in detachment from MT and subsequent Tau aggregation, finally causing the formation of neurofibrillary tangles .
The dominating, but not exclusive explanation for the molecular basis of AD pathology is the amyloid cascade hypothesis. It states that the deposition of Aβ in the brain is the central event initiating disease progression . Aβ deposits activate downstream neurotoxic mechanisms including deregulation of Tau-MT-binding properties.
The amyloid cascade hypothesis is supported by the fact that mutations implicated in familial AD are known to increase ratios of Aβ42/Aβ40 and aggregation [6–8]. Although Tau mutations lead to neurodegeneration , none of the disease-linked Tau mutations is linked to familial AD. Mutations in Tau rather cause fronto-temporal dementia or progressive nuclear palsy in which Aβ42 deposits are absent .
Several lines of evidence support the idea that Tau acts downstream of Aβ42 toxicity. Clearance of Aβ reduced early hyperphosphorylated Tau aggregation in double transgenic mice, whereas increasing Tau burden did not affect Aβ42 accumulation . Furthermore, it is known that reduction of Tau protein levels leads to an amelioration of Aβ-induced learning and memory impairment . Mechanisms linking extracellular Aβ42 to intracellular Tau are a subject of intensive research. One possible molecular mechanism is associated with a dendritic function of Tau . Dendritic Tau targets Fyn kinase to postsynaptic density, where Fyn facilitates stabilization of a complex triggering downstream excitotoxic signaling .
In modern research several model systems have been developed trying to reveal molecular mechanisms linking pathological hallmarks like aggregating Tau and Aβ peptides to neurodegeneration finally resulting in progressive memory loss as observed in AD. However, key features of the disease etiology still remain elusive and no efficient therapy has been found so far.
This review summarizes the utilization of Drosophila melanogaster to mimic AD pathology inflicted by excess Tau protein and Aβ42 peptide production.
Drosophila as a model organism for AD
Animal model systems are used to study specific functional aspects of human diseases in general and neurodegenerative diseases in particular. AD models range from yeast  and Caenorhabditis elegans to mammals and human cell culture systems [16–18]. However, no model system combines easy use and essential criteria of AD, like cognitive and behavioral dysfunction caused by cell type-specific neurodegeneration, cellular pathophysiology including aggregate formation, clear pattern of inheritance and genetic homogeneity. Although vertebrate model organisms reflect pathologic hallmarks of human diseases very well, these model organisms have the disadvantage of care, time and cost-intensive handling. Using comparable short-lived model organisms allows fast data acquisition facilitating large-scale experiments, although these organisms might lack some pathophysiological characteristics of AD (a summary of invertebrate AD models is provided in ).
Drosophila has more than a hundred-year history in genetic research . It is used as prime model organism for experimental studies of multi-cellular eukaryotic biology and it combines genetic, anatomic, behavioral, methodical and even economic advantages. It is one of the first organisms with a fully sequenced genome . Approximately 13,600 protein-coding genes are located in only four chromosomes. The fly anatomy is well studied, its brain and nervous system are quite complex . Its anatomical features like the compound eye allow easy access for phenotypic characterization. The fly’s behavior ranges from simple avoidance to learning and memory . Due to its long history as an animal model in research, a wide variety of well-established molecular genetics tools are available . Another advantage regarding its usefulness in biomedical research, especially in the field of neurodegenerative diseases, is its short lifespan. Depending on diet and stress it ranges up to an average maximum of 120 days. All this makes Drosophila an ideal organism to study neurodegenerative diseases like AD . Previous studies have clearly shown that the expression of disease-related gene products (Tau protein and Aβ42 peptide, respectively) causes phenotypes in flies. Reminiscent of the situation observed in AD patients, flies show a robust decline of neurons upon Aβ42 and/or Tau overexpression. Depending on the neuronal subset the expression of the AD-linked peptides/proteins is targeted to, the neuronal decline has different phenotypic outcomes like early death, reduced locomotion in larvae and adults, decreased flight ability, blindness, rough eye texture, etc. All these parameters can be analyzed and quantified, thus making the fly a reasonable organism to study specific aspects of AD pathology. In addition, more sophisticated behavioral or cognitive assays can be performed in flies. Applying such assays on fly models of AD, a decline in cognition, a hallmark of AD was observed. Overall, the fly is a powerful model to study the molecular basis of neuronal decline in the context of AD [26, 27]. Tests on alterations in behavior and/or cognition are possible in flies. However, their analysis is often time-consuming and the conclusions that can be drawn with regard to humans are fairly limited. An overview of advantages and disadvantages using Drosophila as a model organism to study neurodegenerative diseases like AD is provided in Table 1.
Drosophila models for Aβ toxicity
Comparative analysis of whole genomes revealed striking similarities between structural composition of human and Drosophila genes . Nearly 70% of human disease-causing genes have orthologs in the fly . Given this, it is not surprising that orthologs associated to known AD genes not only exist in Drosophila, but also exhibit functional conservation.
Drosophila harbors an APP ortholog  and all components of the γ-secretase complex . Although a β-secretase-like enzyme was identified in flies , it displays very low β-secretase activity . The Drosophila APP ortholog dAPPl shares the characteristic domains with vertebrate APP family members . However, the region corresponding to the Aβ peptides lacks significant homology . As a consequence, there is no endogenous Aβ production in the fly. Nevertheless, overexpression of the β-secretase-like protein resulted in cleavage of dAPPl producing a fragment corresponding to the human Aβ peptide . Interestingly, this fragment is also able to aggregate and induces age-dependent behavioral deficits and neurodegeneration .
In addition to endogenous Aβ production, transgenic flies have been generated to study human Aβ42-induced toxicity and neurodegeneration [34–37]. Greeve and co-workers generated a triple transgenic fly expressing human APP (hAPP), human β-secretase (hBACE) and Drosophila γ-secretase presenilin (dPsn) with point mutations corresponding to familial AD mutations N141I, L235P and E280A [36, 38]. These flies developed age-dependent neurodegenerative phenotypes such as photoreceptor cell loss, severe degeneration of their projecting axons and early lethality. Co-expression of hAPP and hBACE favored the processing of a higher glycosylated species of hAPP in Drosophila resulting in Aβ40 and Aβ42 peptide forming plaques in transgene expressing tissue. Plaque deposition precedes the onset of neurodegeneration and coexpression of mutant dPsn results in acceleration of photoreceptor degeneration . The described triple transgenic model clearly demonstrates the similarities between the biochemical pathways induced by Aβ42 deposition in flies and humans.
A more direct approach to investigate Aβ42-induced toxicity was used by Crowther and co-workers . They fused Aβ40/42 peptides to the signal peptide of endogenous Drosophila necrotic gene sequence ensuring secretion . Using the UAS/Gal4 inducible gene expression system (Figure 1), the authors generated transgenic flies allowing the spatiotemporal expression of Aβ40 and Aβ42. As the expressed Aβ40/42 correspond to the peptides generated by amyloidogenic processing of APP, influences that might result from APP processing are avoided. These flies have the major advantage of a direct assessment of Aβ toxicity.
Neuronal expression of Aβ42 caused neurotoxicity, locomotion defects and reduced lifespan. Moreover, intra- and extracellular accumulation of Aβ42 peptides was observed. Overexpression of Aβ42[E22G], known to increase the rate of Aβ42 aggregation , exacerbated the observed phenotypes . Extensive investigation of molecular mechanisms leading to changes in synaptic transmission and protein composition at the presynaptic active zone revealed that Aβ42 expression affected axonal transport of mitochondria and resulted in depletion of mitochondria from the presynaptic active zone . Intraneural accumulation of Aβ42 was shown to reduce synaptic vesicle release probability prior to bouton loss . Patch clamp analysis revealed a depression of cholinergic synapses upon Aβ42 expression. Moreover, expression of a familial AD-linked mutant variant Aβ[E22G] caused an increased aggregation of the Aβ42 peptide .
Finelli and co-workers established fly lines expressing fully processed, secreted Aβ peptides . The generated transgenes allowed in-depth analysis of Aβ accumulation as overexpression of human Aβ40 and Aβ42 peptides can be induced in a variety of cell types including neuronal cells. Both peptides accumulated in the fly brain but only Aβ42 formed deposits . Consequently, only Aβ42 expressing flies show age-dependent and dose-dependent neurodegeneration. In these flies, short-term memory was impaired, obvious locomotor deficits appeared in aged flies and survival was reduced .
As memory loss is a well-known feature of AD in humans, memory assessment is widely used as an adequate tool to identify factors involved in Aβ42 pathomechanisms. Recently, excess epidermal growth factor receptor (EGFR) was shown to enhance short-term memory loss in flies concomitantly expressing Aβ42. The detrimental effect of EGFR overexpression on Aβ42-induced memory loss was verified by the application of known EGFR inhibitors, e.g. gefitinib and erlotinib. Both drugs are normally used in clinical cancer therapy, but were able to prevent Aβ42-induced memory loss in flies. Interestingly, also memantine, a drug that is already used to treat dementia in AD patients, prevented memory loss induced by Aβ42 expression in flies . Positive effects of the mentioned drugs were also evident in double transgenic AD mice overexpressing two mutated AD-linked transgenes (APPswe/PSEN1dE9) [52, 53]. Thus, results from invertebrate models systems might be well transferred to higher organisms.
Accumulating evidence suggests that impairment of metal homoeostasis is an important factor in AD pathogenesis. Levels of redox active metal ions such as copper, zinc and iron are elevated in amyloid plaques of AD patients . Furthermore, it is known that presence of metals can promote Aβ aggregate formation in vitro and chelating agents are able to dissolve Aβ plaques in post mortem AD brains [55, 56].
Drosophila models for AD proved to be a useful tool to investigate the influence of different metal ions on Aβ-induced neurodegeneration [57–61]. By feeding Aβ42 expressing flies with copper or zinc supplemented food the Aβ42-induced phenotypes such as REP decreased survival and locomotor defects were enhanced. In contrast, food supplemented with metal-chelating substances suppressed these phenotypes . Genetic manipulation of metal homeostasis further underlined the role of zinc and copper levels in Aβ42-induced toxicity [57–59]. For example, overexpression of MTF-1, a highly conserved transcription factor inducing expression of several metal ion scavenger proteins, was shown to effectively protect from detrimental effects of Aß42 in flies . Furthermore, genetic inhibition of two copper-importers (Ctr1C and Ctr1B) ameliorated Aß42-induced neurodegenerative phenotypes while lowering copper load in the fly brain . A study focusing on zinc as another redox active metal and its modulation of Aβ42-induced phenotypes basically showed the same . Genetic downregulation of the expression of the zinc importer dZip1 consistently suppressed Aβ42-induced brain vacuolization, locomotor defects and reduced lifespan, while overexpression had the opposite effect . Furthermore, the authors were able to show an effect of zinc deposition on the accumulation of Aβ fibrils in Drosophila brains and a beneficial effect of dZip1 knockdown on Aβ-induced early memory loss .
While findings about the detrimental effects of metal ion-Aβ complexes find a growing consent, not much is known about the specific mechanisms of metal ions in AD. The study of Liu et al. took a closer look on the biophysical particularities of the interaction between iron and Aβ peptides . First, a connection between the presence of iron and modulation of Aβ42-induced toxicity was observed. Manipulation of the expression of iron-binding proteins like ferritin and feeding of iron-specific chelating agents altered Aβ42-induced toxicity . Surprisingly, knockdown of ferritin did not reduce Aβ accumulation but efficiently suppressed Aβ42-induced toxicity . Instead, biophysical techniques revealed that the presence of iron during Aβ42 aggregation altered the structure of Aβ fibrils delaying the formation of mature aggregates . Cytotoxicity assays using human neuroblastoma SH-SY5Y cells indicated that the presence of iron during aggregate formation was contributing to Aβ toxicity rather than addition of iron after aggregate formation . Thus, the authors conclude that modulation of the kinetics of Aβ aggregate formation by iron is important for the toxicity of Aβ42 peptides .
Besides the potential function of metal ions to act as seeds for Aβ accumulation, they might also play a role in the production of reactive oxygen species (ROS) via Fenton-like reactions. An unbiased screen identified many modifiers of Aβ42-induced toxicity that were implicated in redox regulation . Overexpression of two subunits of ferritin, a highly conserved protein with a strong antioxidant potential, efficiently prolonged the lifespan of Aβ42 expressing flies and simultaneously reduced the oxidative damage in fly brains . Thus, sequestration of free radicals by ferroxidase activity might be a beneficial mechanism protecting from oxidative stress originating from the redox potential of Aβ peptides in the Drosophila model for Aβ42-induced toxicity .
Further adding to the topic of metal ions interacting with Aβ peptides is a study about intrinsic toxicity of aluminum . Typical neurodegenerative phenotypes like reduced lifespan, locomotor deficits, olfactory learning abnormalities and vacuolization of the brain were observed after feeding Drosophila with excess aluminum . Aluminum overload was shown to increase iron levels while simultaneously generating ROS. However, no direct link could be established between both processes . Interestingly, expression of Aβ peptides or Tau did not modulate the Al-induced neurotoxicity . This study indicates that heavy metal ions can exert neurotoxic effects per se and it remains to be elucidated if these mechanisms are the cause or consequence in the interplay between redox reactive metal ions, ROS generation and Aβ peptides.
Apart from Aβ42 deposits, AD in humans is characterized by intracellular neurofibrillary tangles composed of hyperphosphorylated Tau proteins. As the functional interactions between both AD lesions remain unclear, fly lines expressing Aβ42 were investigated for the formation of fibrillary structures with fly endogenous Tau protein. However, fibrillary structures composed of hyperphosphorylated Tau could not be detected in Aβ42-expressing flies using biochemical or histological methods .
Drosophila models for Tau toxicity
Insoluble aggregates of the MT-associated protein Tau are a common feature of so-called tauopathies like frontotemporal dementia with parkinsonism linked to chromosome 17 (FTDP-17), progressive supranuclear palsy and Pick’s disease and others . Central feature of tauopathies is the presence of paired helical filaments, which assemble into intracellular neurofibrillary tangles in affected tissues . Several disease-linked mutations in the Tau gene affect correct splicing of its MT binding sites, thus enhancing abnormal phosphorylation and detachment of the protein. Both steps are believed to be crucial in the process of forming paired helical filaments and higher order neurofibrillary tangles [65, 66].
Overexpression of wild-type or mutant human Tau in the Drosophila nervous system caused vacuolization in the brain accompanied by pathologic phosphorylation status of Tau, although large filamentous aggregates were absent . Nevertheless, immunostaining with antibodies detecting abnormal confirmation of Tau revealed a close association between areas of degeneration and abnormal Tau in flies. Moreover, the abundance of vacuolar lesions in the fly brain was first observed in Tau expressing tissue. In addition, neurodegeneration progressed with fly age and eventually resulted in early mortality. Furthermore, severity of phenotypes was enhanced by increasing Tau dosage or introducing mutant Tau isoforms, such as the V337M and R406W mutations associated with FTDP-17 . In addition, targeted expression of either wild-type or mutant Tau in the retina caused alterations in external eye structures, characterized by size reduction and rough appearance. The so-called rough eye phenotype (REP) correlates with the loss of retinal cells including photoreceptors [63, 64, 67, 68]. Detailed analysis revealed that Tau overexpression caused degeneration of photoreceptor axons, evident by the appearance of vacuoles in the medulla, the projection target of photoreceptor axons . Such REPs are frequently used to screen for genetic interactions (see Table 2). In such an approach the fly ortholog of glycogen synthase kinase 3β (GSK3β) was identified to interfere with Tau-induced toxicity. Interestingly, the Tau-induced REP was suppressed in a GSK3β-deficient background and enhanced by GSK3β overexpression . Detailed analysis showed that overexpression of GSK3β strongly increased pathogenic phosphorylation of Tau [68, 71].
In order to investigate the role of Tau phosphorylation and toxicity in more detail, several Tau variants with altered phosphorylation sites were generated [67, 73, 74]. Chatterjee et al. created fly lines expressing phosphorylation-resistant Tau variants by exchanging two (TauS2A) or eleven (TauS11A) putative serine-threonine phosphorylation sites with neutral alanine. These mutations prevented phosphorylation by protease activated receptor 1 (PAR-1) and GSK3β, respectively . This allowed a thorough investigation of several Tau kinases in disease-related processes such as site-specific phosphorylation and changes in MT binding properties of Tau . Interestingly, REP enhancement induced by overexpression of GSK3β was less pronounced in the TauS2A expressing fly compared to the wild-type Tau expressing fly although immunoblotting using phosphorylation site-specific Tau antibodies showed a higher degree of Tau phosphorylation. In contrast, TauS11A was resistant to GSK3β phosphorylation although GSK3β overexpression enhanced the TauS2A-induced REP severity. Furthermore, neither Tau aggregation nor MT binding properties consistently correlated with REP . These results uncouple Tau toxicity from sole phosphorylation and indicate Tau toxicity is partially independent of its phosphorylation state.
In addition, Iijima-Ando et al. generated another phosphorylation-resistant Tau variant TauS262A. Retinal coexpression of wild-type human Tau and DNA damage-activated checkpoint kinase 2 (Chk2) resulted in enhancement of the REP. In contrast, coexpression of Chk2 and TauS262A had no effect on eye surface integrity .
To determine the contribution of specific phosphorylation sites to Tau toxicity, Steinhilb et al. designed novel Tau transgenes . By replacing serines of several disease-associated phosphorylation sites with alanine they created a phosphorylation-resistant variant (TauAP) and by replacing serines with glutamines they mimicked a hyperphosphorylated state of Tau (TauE14). The consequences are amelioration of Tau toxicity in flies expressing phospho-deficient Tau variant TauAP and exacerbation of Tau toxicity in flies expressing the phospho-mimetic Tau variant TauE14. However, mutation of individual serines of the respective phosphorylation sites did not result in a clear modulation of Tau toxicity indicating that multiple sites work in concert to confer to Tau toxicity .
Folwell and co-workers analyzed concomitant expression of Aβ42 and Tau in flies. In these flies, Aβ42 expression exacerbated Tau-induced neuronal dysfunction, axonal transport deficits and decreased survival . The combinatorial expression of both pathological proteins Aβ42 and Tau in Drosophila seems to be a promising approach to investigate the synergistic effects at the level of genetic interactions.
Large-scale screens in Drosophila
Low demand on care and easiness of handling predestine the fly to high-throughput screens in vivo. Adding to these advantages is the extraordinary large pool of available genetic instruments paired with simplicity of the genomic structure facilitating subsequent in-depth analysis.
Up to now unbiased screens in Drosophila were performed utilizing the above-described tools and provided valuable insights into AD pathomechanisms (see Table 2) [69–72]. REPs induced by expression of toxic gene products in the Drosophila compound eye represent an easy to score read-out for genetic modifier screens. The fly eye is a neuronal structure and REPs are highly sensitive to genetic modification. Changes in REP severity usually coincide with changes in photoreceptor degeneration, thus changes in neuronal decline can be investigated by light microscopy (Figure 2).
Shulman and Feany conducted the first large-scale screen in Drosophila for genetic modifiers of toxicity induced by expression of human Tau . In their screen, the authors used the fact that eye-specific expression of a FTLD-linked Tau variant (Tau[V337M]) induced a moderate REP. To facilitate identification of enhancers and suppressors, flies with the Tau-dependent REP were crossbred with a collection of 2,276 enhancer promoter (EP) insertion-carrying flies. These files contain random insertions of EP-elements, which can be used to misexpress endogenous fly genes (Figure 1) . EP-elements contain UAS sites allowing the Gal4-induced transcription of open reading frames in the vicinity of insertion. Depending on the orientation of the EP-element in relation to the open reading frame, Gal4 induces either ectopic overexpression or inactivation of the gene by RNA interference (RNAi) . After comprehensive validation of identified candidates they were functionally classified. The largest group of modifiers were kinases and phosphatases. Among these kinases were Drosophila orthologs of known Tau kinases such as cyclin-dependent kinase 5 (CDK5) and GSK3β. Accordingly, these results confirmed the reliability of the screening approach and emphasizes the critical role of Tau phosphorylation for toxicity .
Using the same transgenic fly line expressing human Tau [V337M], Blard et al. screened a different collection of 1,250 EP-element containing fly lines . According to the differences in fly lines and the low percentage of whole genome coverage, there was little overlap between identified modifiers from this screen compared to the screen by Shulman and Feany. Blard et al. identified several components of the cytoskeleton as modifiers of Tau-induced REP. In addition, the Tau-induced disruption of the MT network at nerve terminals was identified as key event leading to Tau-induced neurodegeneration .
The most recent large-scale screen for modifiers of Tau toxicity was performed by Ambegaokar et al.. In their screen, the authors used a fly line expressing wild-type human Tau in the fly eye. This fly line also exhibited an intermediate REP, which was suitable to identify both enhancer and suppressors. The authors screened two independent collections of fly lines. The first contains roughly 1,000 lethal loss-of-function alleles caused by P-element insertion in essential genes. The second collection contained 900 lines with random insertions of EY-elements. These EY-elements are very similar to EP-elements and also contain UAS sites. Once Gal4 is present, this can result in overexpression or RNAi-mediated silencing of genes in close vicinity to the insertion site of the element (Figure 1). In their screen, Ambegaokar and co-workers identified known interactors of Tau toxicity such as the Drosophila ortholog of GSK3β. This can be regarded as validation of the screen and suggests that identified modifiers could be relevant to disease. Comprehensive analysis of identified modifiers using computational network approach revealed a broad range of functional classes including kinases, cytoskeletal components as expected but also mechanisms not yet associated to Tau toxicity such as RNA metabolism or chromatin interaction . Furthermore, the authors found that differences in Tau phosphorylation did not correlate with changes in Tau toxicity .
Only few large-scale screens have been published identifying genetic modifiers of Aβ42-induced toxicity (see Table 2 and [61, 72]). Cao et al. screened a collection of EP-element carrying fly lines for modification of Aβ42-induced REP in Drosophila. Modifiers identified in this screen comprise loss-of-function alleles widely involved in cell compartment trafficking pathways leading to the conclusion that proper function of endocytosis and vesicular trafficking is critical to protect the cell from Aβ42-induced toxicity. In addition, a reasonable number of candidate genes involved in secretory pathways were identified. Thus, the authors argue that proteolytic degradation of Aβ peptides during translocation by the secretory pathways might be a crucial pathomechanism in AD . On the other hand, Rival and co-workers convincingly showed that Fenton chemistry and oxidative stress contribute to the toxicity of β-amyloid peptides in flies .
The combination of the Aβ42-induced REP with the utilization of RNAi allows for an unbiased screen targeting known open reading frames of the Drosophila genome. Using an inducible short hairpin RNA (shRNA) expressing fly line, the RNAi effect can be activated in a spatio-temporal manner (Figure 1). Recently, an in vivo RNAi library was generated utilizing the UAS/Gal4 system to control shRNA expression .
The RNAi library has been extensively used for genome-wide, large-scale screens to identify genetic modifiers of basic cellular mechanisms [77–79]. However, published data regarding the above-described Aβ42 toxicity models are surprisingly scarce [72, 80]. Nevertheless, this approach has been used to find genetic modifiers of Ataxin-3-derived polyglutamine-induced toxicity . The analysis yielded a large number of genetic modifiers that imply involvement of multiple processes in polyglutamine toxicity.
To aid the understanding of mechanisms leading to AD, we performed a genome-wide screen for modifiers of Aβ42-induced neurodegeneration . By combining eye-specific RNAi-mediated knockdown of single Drosophila genes and concomitant Aβ42 expression, genetic interactors modulating Aβ42-induced REP were identified and were assigned to cellular pathways contributing to Aβ42 toxicity. To prove adaptability of the performed screen, we tested RNAi lines targeting corresponding Drosophila orthologs of known susceptibility genes identified by genome-wide association studies (GWAS) for their ability to modulate the Aβ42-induced REP. Preliminary results indicate low conformity between the effects of RNAi-mediated knockdown of susceptibility genes and enhancement or suppression of Aβ42-induced REP (unpublished results). One way to explain this might be the redundancy of affected pathways. Another possibility might be low penetrance of the RNAi effect, although the majority of the RNAi library was tested for effective silencing of targeted genes . Still, AD is not a monogenic disease and application of GWAS to identify human risk factors failed to find new major genes relevant to all AD patients . In addition, we conducted a very similar screen to identify modifiers of Tau[R406W]-induced neurodegeneration. To our surprise, in this screen we only identified a very small amount of modifiers (less than 100 out of roughly 8,000 screened RNAi lines modified the Tau[R406W]-induced REP). Among the few candidates were members of the dynein/dynactin complex. As silencing members of the dynein/dynactin complex enhanced the Tau[R406W]-induced toxicity, an impaired retrograde axonal transport seems to contribute to Tau[R406W]-induced toxicity (to be published elsewhere).
Perspectives and conclusion
Drosophila melanogaster is a useful in vivo tool to analyze pathomechanisms in AD. For example, aggregation of Aβ42 can be easily determined in flies. Thus, large collections of small compounds can be screened for their potency to inhibit Aβ peptide aggregation . Recently, a compound (D737) was identified that effectively inhibited fibril formation in vitro. Administration of this compound to flies prevented early death usually observed after Aβ42 expression . Such in vivo approaches might help in drug development not only in case of AD, but also in the context of other (neurodegenerative) diseases.
Furthermore, transgenic fly lines can be used to prove efficiency of β-secretase steady-state inhibitors . β-Secretase activity is the rate-limiting step during amyloidogenic processing leading to the generation of pathogenic Aβ peptides. Thus, β-secretase activity is a preferred target for the development of pharmacological therapies against AD. In vitro assays proved the activity of several engineered β-secretase inhibitors but many failed in cellular assays [85, 86]. However, in vivo the endosomal localization of β-secretase is essential for activity. Coupling of a sterol moiety to the inhibitor resulted in successful delivery to the endosomal membrane and efficient inhibition of β-secretase cleavage of APP in several cell lines . Furthermore, inhibition of β-secretase activity by the sterol-coupled inhibitor was shown to be efficient in vivo using the triple transgenic fly line expressing hAPP, hBACE and dPsn created by Greeve et al.. Transgenic larvae fed with the membrane-tethered steady-state inhibitor showed increased hatching rates compared to transgenic larvae fed with soluble inhibitor . Thus, flies expressing disease-related transgenes might be very useful to prove hypotheses in vivo in a fast, effective and economic manner.
Despite the efforts of countless scientists worldwide to clarify the mechanisms underlying the most prevalent form of dementia, it is still not possible to cure AD. Until now therapies for AD have included only symptomatic treatment and there is not even any effective medication to stop disease progression. The mere number of hypotheses intending to explain the pathogenesis of AD hints at the general challenge this disease poses to modern science. The challenge now is to elucidate the contribution of AD-associated pathways with known effects to Aβ42-induced neurodegeneration and to differentiate the pathways modifying general neurodegenerative mechanisms from the ones that are unique to AD and thus provide a target for drug development.
Experimental research reported here was performed using insects (Drosophilae). Such research is exempt from regulations pertaining to ethical approvals and/or animal protection laws.
Amyloid precursor protein
β-site APP-cleaving enzyme
APP-like, Drosophila melanogaster ortholog of APP
Drosophila melanogaster ortholog of presenilin
Epidermal growth factor receptor
Frontotemporal dementia with parkinsonism linked to chromosome 17
Glycogen synthase kinase 3β
Genome-wide association studies
Protease activated receptor 1
Rough eye phenotype
short hairpin RNA
Upstream activating sequence.
Ferri CP, Prince M, Brayne C, Brodaty H, Fratiglioni L, Ganguli M, Hall K, Hasegawa K, Hendrie H, Huang Y, et al: Global prevalence of dementia: a Delphi consensus study. Lancet. 2005, 366: 2112-2117.
Chow VW, Mattson MP, Wong PC, Gleichmann M: An overview of APP processing enzymes and products. Neuromolecular Med. 2010, 12: 1-12. 10.1007/s12017-009-8104-z.
Burdick D, Soreghan B, Kwon M, Kosmoski J, Knauer M, Henschen A, Yates J, Cotman C, Glabe C: Assembly and aggregation properties of synthetic Alzheimer’s A4/beta amyloid peptide analogs. J Biol Chem. 1992, 267: 546-554.
Iqbal K, Liu F, Gong CX, Grundke-Iqbal I: Tau in Alzheimer disease and related tauopathies. Curr Alzheimer Res. 2010, 7: 656-664. 10.2174/156720510793611592.
Hardy JA, Higgins GA: Alzheimer’s disease: the amyloid cascade hypothesis. Science. 1992, 256: 184-185. 10.1126/science.1566067.
Bentahir M, Nyabi O, Verhamme J, Tolia A, Horre K, Wiltfang J, Esselmann H, de Strooper B: Presenilin clinical mutations can affect gamma-secretase activity by different mechanisms. J Neurochem. 2006, 96: 732-742. 10.1111/j.1471-4159.2005.03578.x.
Nilsberth C, Westlind-Danielsson A, Eckman CB, Condron MM, Axelman K, Forsell C, Stenh C, Luthman J, Teplow DB, Younkin SG, et al: The ‘Arctic’ APP mutation (E693G) causes Alzheimer’s disease by enhanced Abeta protofibril formation. Nat Neurosci. 2001, 4: 887-893. 10.1038/nn0901-887.
Suzuki N, Cheung TT, Cai XD, Odaka A, Otvos L, Eckman C, Golde TE, Younkin SG: An increased percentage of long amyloid beta protein secreted by familial amyloid beta protein precursor (beta APP717) mutants. Science. 1994, 264: 1336-1340. 10.1126/science.8191290.
Spillantini MG, Murrell JR, Goedert M, Farlow MR, Klug A, Ghetti B: Mutation in the tau gene in familial multiple system tauopathy with presenile dementia. Proc Natl Acad Sci USA. 1998, 95: 7737-7741. 10.1073/pnas.95.13.7737.
Hutton M, Lendon CL, Rizzu P, Baker M, Froelich S, Houlden H, Pickering-Brown S, Chakraverty S, Isaacs A, Grover A, et al: Association of missense and 5′-splice-site mutations in tau with the inherited dementia FTDP-17. Nature. 1998, 393: 702-705. 10.1038/31508.
Oddo S, Caccamo A, Cheng D, Jouleh B, Torp R, LaFerla FM: Genetically augmenting tau levels does not modulate the onset or progression of Abeta pathology in transgenic mice. J Neurochem. 2007, 102: 1053-1063. 10.1111/j.1471-4159.2007.04607.x.
Roberson ED, Scearce-Levie K, Palop JJ, Yan F, Cheng IH, Wu T, Gerstein H, Yu GQ, Mucke L: Reducing endogenous tau ameliorates amyloid beta-induced deficits in an Alzheimer’s disease mouse model. Science. 2007, 316: 750-754. 10.1126/science.1141736.
Ittner LM, Ke YD, Delerue F, Bi M, Gladbach A, van Eersel J, Wolfing H, Chieng BC, Christie MJ, Napier IA, et al: Dendritic function of tau mediates amyloid-beta toxicity in Alzheimer’s disease mouse models. Cell. 2010, 142: 387-397. 10.1016/j.cell.2010.06.036.
Winderickx J, Delay C, de Vos A, Klinger H, Pellens K, Vanhelmont T, van Leuven F, Zabrocki P: Protein folding diseases and neurodegeneration: lessons learned from yeast. Biochim Biophys Acta. 2008, 1783: 1381-1395. 10.1016/j.bbamcr.2008.01.020.
Teschendorf D, Link CD: What have worm models told us about the mechanisms of neuronal dysfunction in human neurodegenerative diseases?. Mol Neurodegener. 2009, 4: 38-10.1186/1750-1326-4-38.
Gotz J, Chen F, Barmettler R, Nitsch RM: Tau filament formation in transgenic mice expressing P301L tau. J Biol Chem. 2001, 276: 529-534.
Hsiao K, Chapman P, Nilsen S, Eckman C, Harigaya Y, Younkin S, Yang F, Cole G: Correlative memory deficits, Abeta elevation, and amyloid plaques in transgenic mice. Science. 1996, 274: 99-102. 10.1126/science.274.5284.99.
Sturchler-Pierrat C, Abramowski D, Duke M, Wiederhold KH, Mistl C, Rothacher S, Ledermann B, Burki K, Frey P, Paganetti PA, et al: Two amyloid precursor protein transgenic mouse models with Alzheimer disease-like pathology. Proc Natl Acad Sci USA. 1997, 94: 13287-13292. 10.1073/pnas.94.24.13287.
Mhatre SD, Paddock BE, Saunders AJ, Marenda DR: Invertebrate models of Alzheimer’s disease. J Alzheimers Dis. 2013, 33: 3-16.
Morgan TH: Sex Limited Inheritance in Drosophila. Science. 1910, 32: 120-122. 10.1126/science.32.812.120.
Adams MD, Celniker SE, Holt RA, Evans CA, Gocayne JD, Amanatides PG, Scherer SE, Li PW, Hoskins RA, Galle RF, et al: The genome sequence of Drosophila melanogaster. Science. 2000, 287: 2185-2195. 10.1126/science.287.5461.2185.
Nichols CD: Drosophila melanogaster neurobiology, neuropharmacology, and how the fly can inform central nervous system drug discovery. Pharmacol Ther. 2006, 112: 677-700. 10.1016/j.pharmthera.2006.05.012.
McGuire SE, Deshazer M, Davis RL: Thirty years of olfactory learning and memory research in Drosophila melanogaster. Prog Neurobiol. 2005, 76: 328-347. 10.1016/j.pneurobio.2005.09.003.
Greenspan RJ: Fly Pushing: The Theory and Practice of Drosophila Genetics. 2004, New Jersey: Cold Spring Harbour Laboratory Press
Lenz S, Karsten P, Schulz JB, Voigt A: Drosophila as a screening tool to study human neurodegenerative diseases. J Neurochem. 2013, 127: 453-60. 10.1111/jnc.12446.
Bonner JM, Boulianne GL: Drosophila as a model to study age-related neurodegenerative disorders: Alzheimer’s disease. Exp Gerontol. 2011, 46: 335-339. 10.1016/j.exger.2010.08.004.
Cowan CM, Shepherd D, Mudher A: Insights from Drosophila models of Alzheimer’s disease. Biochem Soc Trans. 2010, 38: 988-992. 10.1042/BST0380988.
Rubin GM, Yandell MD, Wortman JR, Gabor Miklos GL, Nelson CR, Hariharan IK, Fortini ME, Li PW, Apweiler R, Fleischmann W, et al: Comparative genomics of the eukaryotes. Science. 2000, 287: 2204-2215. 10.1126/science.287.5461.2204.
Fortini ME, Skupski MP, Boguski MS, Hariharan IK: A survey of human disease gene counterparts in the Drosophila genome. J Cell Biol. 2000, 150: F23-30. 10.1083/jcb.150.2.F23.
Luo L, Tully T, White K: Human amyloid precursor protein ameliorates behavioral deficit of flies deleted for Appl gene. Neuron. 1992, 9: 595-605. 10.1016/0896-6273(92)90024-8.
Periz G, Fortini ME: Functional reconstitution of gamma-secretase through coordinated expression of presenilin, nicastrin, Aph-1, and Pen-2. J Neurosci Res. 2004, 77: 309-322. 10.1002/jnr.20203.
Carmine-Simmen K, Proctor T, Tschape J, Poeck B, Triphan T, Strauss R, Kretzschmar D: Neurotoxic effects induced by the Drosophila amyloid-beta peptide suggest a conserved toxic function. Neurobiol Dis. 2009, 33: 274-281. 10.1016/j.nbd.2008.10.014.
Yagi Y, Tomita S, Nakamura M, Suzuki T: Overexpression of human amyloid precursor protein in Drosophila. Mol Cell Biol Res Commun. 2000, 4: 43-49. 10.1006/mcbr.2000.0248.
Crowther DC, Kinghorn KJ, Miranda E, Page R, Curry JA, Duthie FA, Gubb DC, Lomas DA: Intraneuronal Abeta, non-amyloid aggregates and neurodegeneration in a Drosophila model of Alzheimer’s disease. Neuroscience. 2005, 132: 123-135. 10.1016/j.neuroscience.2004.12.025.
Finelli A, Kelkar A, Song HJ, Yang H, Konsolaki M: A model for studying Alzheimer’s Abeta42-induced toxicity in Drosophila melanogaster. Mol Cell Neurosci. 2004, 26: 365-375. 10.1016/j.mcn.2004.03.001.
Greeve I, Kretzschmar D, Tschape JA, Beyn A, Brellinger C, Schweizer M, Nitsch RM, Reifegerste R: Age-dependent neurodegeneration and Alzheimer-amyloid plaque formation in transgenic Drosophila. J Neurosci. 2004, 24: 3899-3906. 10.1523/JNEUROSCI.0283-04.2004.
Iijima K, Chiang HC, Hearn SA, Hakker I, Gatt A, Shenton C, Granger L, Leung A, Iijima-Ando K, Zhong Y: Abeta42 mutants with different aggregation profiles induce distinct pathologies in Drosophila. PLoS One. 2008, 3: e1703-10.1371/journal.pone.0001703.
Ye Y, Fortini ME: Apoptotic activities of wild-type and Alzheimer’s disease-related mutant presenilins in Drosophila melanogaster. J Cell Biol. 1999, 146: 1351-1364. 10.1083/jcb.146.6.1351.
Phelps CB, Brand AH: Ectopic gene expression in Drosophila using GAL4 system. Methods. 1998, 14: 367-379. 10.1006/meth.1998.0592.
Lohr D, Venkov P, Zlatanova J: Transcriptional regulation in the yeast GAL gene family: a complex genetic network. FASEB J. 1995, 9: 777-787.
Ptashne M: How eukaryotic transcriptional activators work. Nature. 1988, 335: 683-689. 10.1038/335683a0.
Bloomington Stock Center. [http://flystocks.bio.indiana.edu/Browse/in/misexpression-top.php]
Moses K, Ellis MC, Rubin GM: The glass gene encodes a zinc-finger protein required by Drosophila photoreceptor cells. Nature. 1989, 340: 531-536. 10.1038/340531a0.
Brand AH, Perrimon N: Targeted gene expression as a means of altering cell fates and generating dominant phenotypes. Development. 1993, 118: 401-415.
Rorth P: A modular misexpression screen in Drosophila detecting tissue-specific phenotypes. Proc Natl Acad Sci USA. 1996, 93: 12418-12422. 10.1073/pnas.93.22.12418.
Szeged Drosophila Stock Center. [http://expbio.bio.u-szeged.hu/fly/modules.php?name?=?Other_Stocks&op?=?OtherStocksList&stock_gr?=?4]
Dietzl G, Chen D, Schnorrer F, Su KC, Barinova Y, Fellner M, Gasser B, Kinsey K, Oppel S, Scheiblauer S, et al: A genome-wide transgenic RNAi library for conditional gene inactivation in Drosophila. Nature. 2007, 448: 151-156. 10.1038/nature05954.
Zhao XL, Wang WA, Tan JX, Huang JK, Zhang X, Zhang BZ, Wang YH, YangCheng HY, Zhu HL, Sun XJ, Huang FD: Expression of beta-amyloid induced age-dependent presynaptic and axonal changes in Drosophila. J Neurosci: the official journal of the Society for Neuroscience. 2010, 30: 1512-1522. 10.1523/JNEUROSCI.3699-09.2010.
Huang JK, Ma PL, Ji SY, Zhao XL, Tan JX, Sun XJ, Huang FD: Age-dependent alterations in the presynaptic active zone in a Drosophila model of Alzheimer’s disease. Neurobiol Dis. 2013, 51: 161-167.
Fang L, Duan J, Ran D, Fan Z, Yan Y, Huang N, Gu H, Zhu Y: Amyloid-beta depresses excitatory cholinergic synaptic transmission in Drosophila. Neurosci Bull. 2012, 28: 585-594. 10.1007/s12264-012-1267-x.
Iijima K, Liu HP, Chiang AS, Hearn SA, Konsolaki M, Zhong Y: Dissecting the pathological effects of human Abeta40 and Abeta42 in Drosophila: a potential model for Alzheimer’s disease. Proc Natl Acad Sci USA. 2004, 101: 6623-6628. 10.1073/pnas.0400895101.
Wang L, Chiang HC, Wu W, Liang B, Xie Z, Yao X, Ma W, Du S, Zhong Y: Epidermal growth factor receptor is a preferred target for treating amyloid-beta-induced memory loss. Proc Natl Acad Sci USA. 2012, 109: 16743-16748. 10.1073/pnas.1208011109.
Martinez-Coria H, Green KN, Billings LM, Kitazawa M, Albrecht M, Rammes G, Parsons CG, Gupta S, Banerjee P, LaFerla FM: Memantine improves cognition and reduces Alzheimer’s-like neuropathology in transgenic mice. Am J Pathol. 2010, 176: 870-880. 10.2353/ajpath.2010.090452.
Lovell MA, Robertson JD, Teesdale WJ, Campbell JL, Markesbery WR: Copper, iron and zinc in Alzheimer’s disease senile plaques. J Neurol Sci. 1998, 158: 47-52. 10.1016/S0022-510X(98)00092-6.
Atwood CS, Moir RD, Huang X, Scarpa RC, Bacarra NM, Romano DM, Hartshorn MA, Tanzi RE, Bush AI: Dramatic aggregation of Alzheimer abeta by Cu(II) is induced by conditions representing physiological acidosis. J Biol Chem. 1998, 273: 12817-12826. 10.1074/jbc.273.21.12817.
Cherny RA, Legg JT, McLean CA, Fairlie DP, Huang X, Atwood CS, Beyreuther K, Tanzi RE, Masters CL, Bush AI: Aqueous dissolution of Alzheimer’s disease Abeta amyloid deposits by biometal depletion. J Biol Chem. 1999, 274: 23223-23228. 10.1074/jbc.274.33.23223.
Hua H, Munter L, Harmeier A, Georgiev O, Multhaup G, Schaffner W: Toxicity of Alzheimer’s disease-associated Abeta peptide is ameliorated in a Drosophila model by tight control of zinc and copper availability. Biol Chem. 2011, 392: 919-926.
Lang M, Fan Q, Wang L, Zheng Y, Xiao G, Wang X, Wang W, Zhong Y, Zhou B: Inhibition of human high-affinity copper importer Ctr1 orthologous in the nervous system of Drosophila ameliorates Abeta42-induced Alzheimer’s disease-like symptoms. Neurobiol Aging. 2013, 34: 2604-2612. 10.1016/j.neurobiolaging.2013.05.029.
Lang M, Wang L, Fan Q, Xiao G, Wang X, Zhong Y, Zhou B: Genetic inhibition of solute-linked carrier 39 family transporter 1 ameliorates abeta pathology in a Drosophila model of Alzheimer’s disease. PLoS Genet. 2012, 8: e1002683-10.1371/journal.pgen.1002683.
Liu B, Moloney A, Meehan S, Morris K, Thomas SE, Serpell LC, Hider R, Marciniak SJ, Lomas DA, Crowther DC: Iron promotes the toxicity of amyloid beta peptide by impeding its ordered aggregation. J Biol Chem. 2011, 286: 4248-4256. 10.1074/jbc.M110.158980.
Rival T, Page RM, Chandraratna DS, Sendall TJ, Ryder E, Liu B, Lewis H, Rosahl T, Hider R, Camargo LM, et al: Fenton chemistry and oxidative stress mediate the toxicity of the beta-amyloid peptide in a Drosophila model of Alzheimer’s disease. Eur J Neurosci. 2009, 29: 1335-1347. 10.1111/j.1460-9568.2009.06701.x.
Wu Z, Du Y, Xue H, Wu Y, Zhou B: Aluminum induces neurodegeneration and its toxicity arises from increased iron accumulation and reactive oxygen species (ROS) production. Neurobiol Aging. 2012, 33: 199-e191-112
Feany MB, Dickson DW: Neurodegenerative disorders with extensive tau pathology: a comparative study and review. Ann Neurol. 1996, 40: 139-148. 10.1002/ana.410400204.
Wittmann CW, Wszolek MF, Shulman JM, Salvaterra PM, Lewis J, Hutton M, Feany MB: Tauopathy in Drosophila: neurodegeneration without neurofibrillary tangles. Science. 2001, 293: 711-714. 10.1126/science.1062382.
Alonso A, Zaidi T, Novak M, Grundke-Iqbal I, Iqbal K: Hyperphosphorylation induces self-assembly of tau into tangles of paired helical filaments/straight filaments. Proc Natl Acad Sci USA. 2001, 98: 6923-6928. 10.1073/pnas.121119298.
Beharry C, Alaniz ME, Alonso Adel C: Expression of Alzheimer-like pathological human Tau induces a behavioral motor and olfactory learning deficit in Drosophila melanogaster. J Alzheimers Dis. 2013, 37: 539-550.
Chatterjee S, Sang TK, Lawless GM, Jackson GR: Dissociation of tau toxicity and phosphorylation: role of GSK-3beta, MARK and Cdk5 in a Drosophila model. Hum Mol Genet. 2009, 18: 164-177.
Jackson GR, Wiedau-Pazos M, Sang TK, Wagle N, Brown CA, Massachi S, Geschwind DH: Human wild-type tau interacts with wingless pathway components and produces neurofibrillary pathology in Drosophila. Neuron. 2002, 34: 509-519. 10.1016/S0896-6273(02)00706-7.
Shulman JM, Feany MB: Genetic modifiers of tauopathy in Drosophila. Genetics. 2003, 165: 1233-1242.
Blard O, Feuillette S, Bou J, Chaumette B, Frebourg T, Campion D, Lecourtois M: Cytoskeleton proteins are modulators of mutant tau-induced neurodegeneration in Drosophila. Hum Mol Genet. 2007, 16: 555-566. 10.1093/hmg/ddm011.
Ambegaokar SS, Jackson GR: Functional genomics screen and network analysis reveal novel modifiers of tauopathy dissociated from tau phosphorylation. Hum Mol Genet. 2011, 20: 4947-4977. 10.1093/hmg/ddr432.
Cao W, Song HJ, Gangi T, Kelkar A, Antani I, Garza D, Konsolaki M: Identification of novel genes that modify phenotypes induced by Alzheimer’s beta-amyloid overexpression in Drosophila. Genetics. 2008, 178: 1457-1471. 10.1534/genetics.107.078394.
Iijima-Ando K, Zhao L, Gatt A, Shenton C, Iijima K: A DNA damage-activated checkpoint kinase phosphorylates tau and enhances tau-induced neurodegeneration. Hum Mol Genet. 2010, 19: 1930-1938. 10.1093/hmg/ddq068.
Steinhilb ML, Dias-Santagata D, Mulkearns EE, Shulman JM, Biernat J, Mandelkow EM, Feany MB: S/P and T/P phosphorylation is critical for tau neurotoxicity in Drosophila. J Neurosci Res. 2007, 85: 1271-1278. 10.1002/jnr.21232.
Steinhilb ML, Dias-Santagata D, Fulga TA, Felch DL, Feany MB: Tau phosphorylation sites work in concert to promote neurotoxicity in vivo. Mol Biol Cell. 2007, 18: 5060-5068. 10.1091/mbc.E07-04-0327.
Folwell J, Cowan CM, Ubhi KK, Shiabh H, Newman TA, Shepherd D, Mudher A: Abeta exacerbates the neuronal dysfunction caused by human tau expression in a Drosophila model of Alzheimer’s disease. Exp Neurol. 2010, 223: 401-409. 10.1016/j.expneurol.2009.09.014.
Enneking EM, Kudumala SR, Moreno E, Stephan R, Boerner J, Godenschwege TA, Pielage J: Transsynaptic coordination of synaptic growth, function, and stability by the L1-Type CAM Neuroglian. PLoS Biol. 2013, 11: e1001537-10.1371/journal.pbio.1001537.
Read RD, Fenton TR, Gomez GG, Wykosky J, Vandenberg SR, Babic I, Iwanami A, Yang H, Cavenee WK, Mischel PS, et al: A kinome-wide RNAi screen in Drosophila Glia reveals that the RIO kinases mediate cell proliferation and survival through TORC2-Akt signaling in glioblastoma. PLoS Genet. 2013, 9: e1003253-10.1371/journal.pgen.1003253.
Zhang J, Liu M, Su Y, Du J, Zhu AJ: A targeted in vivo RNAi screen reveals deubiquitinases as new regulators of Notch signaling. G3 (Bethesda). 2012, 2: 1563-1575. 2012.
McKoy AF, Chen J, Schupbach T, Hecht MH: A novel inhibitor of amyloid beta (Abeta) peptide aggregation: from high throughput screening to efficacy in an animal model of Alzheimer disease. J Biol Chem. 2012, 287: 38992-39000. 10.1074/jbc.M112.348037.
Voßfeldt H, Butzlaff M, Prüßing K, Ni Charthaigh RA, Karsten P, Lankes A, Hamm S, Simons M, Adryan B, Schulz JB, Voigt A: Large-scale screen for modifiers of ataxin-3-derived polyglutamine-induced toxicity in Drosophila. PLoS One. 2012, 7: e47452-10.1371/journal.pone.0047452.
Prüßing K, Voigt A, Schulz JB: Genome-wide screen for modifiers of Ab42-induced neurodegeneration in Drosophila. Wednesday 31 August 2011. J Neurochem. 2011, 118: 165-244.
Carter CJ: The fox and the rabbits-environmental variables and population genetics (1) replication problems in association studies and the untapped power of GWAS (2) vitamin A deficiency, herpes simplex reactivation and other causes of Alzheimer’s disease. ISRN Neurol. 2011, 2011: 394678-
Rajendran L, Schneider A, Schlechtingen G, Weidlich S, Ries J, Braxmeier T, Schwille P, Schulz JB, Schroeder C, Simons M, et al: Efficient inhibition of the Alzheimer’s disease beta-secretase by membrane targeting. Science. 2008, 320: 520-523. 10.1126/science.1156609.
Hills ID, Vacca JP: Progress toward a practical BACE-1 inhibitor. Curr Opin Drug Discov Devel. 2007, 10: 383-391.
Tung JS, Davis DL, Anderson JP, Walker DE, Mamo S, Jewett N, Hom RK, Sinha S, Thorsett ED, John V: Design of substrate-based inhibitors of human beta-secretase. J Med Chem. 2002, 45: 259-262. 10.1021/jm0155695.
The authors declare that they have no competing interests.
KP and AV wrote the manuscript. JBS wrote and drafted the manuscript. All authors read and approved the final manuscript.
Aaron Voigt and Jörg B Schulz contributed equally to this work.