Protein kinase C
FoxO transcription factors are key regulators of growth, metabolism, life span, and stress resistance. FoxOs integrate signals from different pathways and guide the cellular response to varying energy and stress conditions. FoxOs are modulated by several signaling pathways, e.g., the insulin-TOR signaling pathway and the stress induced JNK signaling pathway. This study reports a genome wide RNAi screen of kinases and phosphatases aiming to find regulators of dFoxO activity in Drosophila S2 cells. By using a combination of transcriptional activity and localization assays several enzymes were identified that modulate dFoxO transcriptional activity, intracellular localization and/or protein stability. Importantly, several currently known dFoxO regulators were found in the screening, confirming the validity of the approach. In addition, several interesting new regulators were identified, including protein kinase C and glycogen synthase kinase 3beta, two proteins with important roles in insulin signaling. Furthermore, several mammalian orthologs of the proteins identified in Drosophila also regulate FOXO activity in mammalian cells. These results contribute to a comprehensive understanding of FoxO regulatory processes (Mattila, 2008).
By using a combination of transcriptional reporter and localization assays, twenty one dFoxO regulators were discovered. Some positive hits from the screen had an effect in dFoxO activity, localization, and protein stability, whereas other hits affected only transcriptional activity, suggesting that more mechanisms beyond subcellular localization and degradation are used by cells to regulate dFoxO activity. In addition to the 18 proteins that affected dFoxO transcriptional activity, the screening produced three more hits. Two of them seem to affect only dFoxO localization (dgkd and ptp69d), and one, neurospecific receptor kinase (nrk), affected exclusively dFoxO protein stability. It is possible that these proteins regulate dFoxO transcription on specific promoters in conjunction with other activators and that such factors are missing in Drosophila S2 cells. This would explain their lack of effect on the dInR promoter. Alternatively, they could affect dFoxO stability resulting in a net effect of dFoxO protein accumulation in the nucleus (Mattila, 2008).
Initially, the screening strategy was designed to identify both positive and negative regulators of dFoxO activity; however, no dFoxO repressors were found. Putative dFoxO repressors were present in the primary hit list of 31 targets, but those were later excluded in the secondary screen. This surprising observation suggests that the screen may be biased against dFoxO repressors. dFoxO is a well known inhibitor of protein biosynthesis in vivo, so under conditions of increased dFoxO activity, a reduction of general translation is expected that could affect GFP and luciferase translation too. Therefore, it is hypothesized that in the case of enhanced dFoxO activity it is possible that the concomitant inhibition of protein biosynthesis overruled a slight increase in reporter accumulation. This would explain the lack of dFoxO repressors among the targets of the screen. Moreover, the design of the screening based on S2 cells excludes the identification of regulatory mechanisms specific for other cell types, and instances where dFoxO is acting as a cofactor thereby regulating transcription indirectly (Mattila, 2008).
The results demonstrate that Drosophila PKC53E isoform is a dFoxO activator. Similar results were obtained in mammalian cells pointing out that the interaction is conserved. PKC isoforms have very important roles in insulin signaling, and each of the isoforms has been shown to be activated by insulin stimulation or conditions important for effective insulin stimulation. Importantly, PKC isoforms can both activate or inhibit insulin signaling: Atypical PKC isoforms are required for insulin-stimulated glucose transport in muscle and adipocytes. In contrast, certain conventional and novel PKC isoforms are known to antagonize insulin signaling in vertebrates. This interaction is implicated in the pathogenesis of free fatty acid mediated insulin resistance. Drosophila possesses six PKC isoforms whose role in this context has not yet been addressed. PKC53E homolog is closest to human conventional PKCα. Interestingly, it has been shown that PKCα inhibits insulin signaling through binding and phosphorylation of IRS1. Thus, PKCα would serve as a constitutively active inhibitory regulator of the insulin cascade through its association with IRS1. On stimulation with insulin, PKCα would dissociate from IRS1, thus releasing this protein from its down-regulated state. This would open the 'gate' for transmission of the insulin signal. It has been found that dFoxO/FOXO1 increases insulin sensitivity by up-regulating insulin receptor transcription. The observation that Drosophila PKCα activates dFoxO adds an additional twist in the complex regulatory network that dFoxO has on insulin signaling. Interestingly, in the experimental system used in this study AKT dependent dFoxO bandshift and AKT Ser-505 phosphorylation was not affected by PKC53E, indicating that PKC53E regulation of dFoxO is independent of AKT signaling (Mattila, 2008).
Another well known enzyme implicated in the control of metabolism identified as a regulator of dFoxO transcriptional activity is the Drosophila ortholog of Glycogen synthase kinase 3β (GSK-3β, Shaggy). GSK-3β is a regulator of glucose metabolism through the phosphorylation and inhibition of glycogen synthase, the rate limiting enzyme of glycogen deposition. GSK-3β is inhibited by AKT, so it was not surprising to see that GSK-3β activates dFoxO. GSK-3β protein level and activity is elevated in type II diabetic skeletal muscle cells reflecting the impairment of whole body glucose uptake characteristic to this disease. In addition, selective inhibition of GSK-3β by lithium chloride represses the expression of g6pase and pepck in rat hepatoma cells, both known targets of FoxO. Taken together, these observations suggest that some of the metabolic effects of GSK-3β are achieved by directly modulating dFoxO activity (Mattila, 2008).
An interesting dFoxO regulator is Polo-like kinase. Polo-like kinases (Plks) are known regulators of cell cycle progression. In addition, Plks have a role in the protection against cellular stress through the transcription factor HSF1. Recently it was proposed that an intricate tradeoff between lifespan and cancer results from opposing effects of enzymes regulating FoxO and p53 activity. Plks are known to inhibit p53 transcriptional activity, so the results raise the possibility that Plks mediate the common but opposing regulators of p53 and FoxO. Interestingly, FoxOs are necessary in the completion of the cell cycle, which is partly mediated by cell cycle dependent activation of Plk expression by FOXO3a. The results show that Drosophila dFoxO is regulated by Polo, suggesting the existence of a positive feedback mechanism that has a role in achieving periodic M-phase gene expression and proper cell cycle exit (Mattila, 2008).
dFoxO localization was affected by eight modulators; however, band shifts demonstrated that none of these proteins phosphorylated dFoxO in the three conserved Ser/Thr amino acids known to regulate nuclear/cytoplasmic status through AKT. This observation raises the possibility that some of the newly identified dFoxO regulators could affect dFoxO nuclear/cytoplasmic localization by phosphorylating dFoxO in additional residues that do not alter its electrophoretic mobility, or that dFoxO regulation by these proteins is indirect. Further studies will be needed to clarify this point (Mattila, 2008).
In summary, this study has identified 21 dFoxO modulators. The results underscore the complexity underlying dFoxO regulation and establish dFoxO as a transcription factor controlled exquisitely by an intricate network of kinases and phosphatases achieving a perfect balance of activity. This balance ensures the correct execution of key cellular processes in metabolism, response to stress, and life span (Mattila, 2008).
The Drosophila mutant turnip was initially isolated based on poor learning performance. turnip is dramatically reduced in protein
kinase C (PKC) activity. In addition, turnip flies are deficient in phosphorylation of a 76-kDa head membrane
protein (hereafter pp76) which is a major substrate for protein kinase C in homogenates of wild-type flies.
Reduced PKC activity, defective pp76 phosphorylation, and most of turnip's learning deficiency co-map
genetically to a region on the X-chromosome, 18A5-18D1-2, spanned by the deletion Df(1)JA27. Apparently
turnip+ is not a structural gene for PKC because Drosophila PKC genes map elsewhere in the genome. These
results suggest that turnip gene product is required for activation of PKC and that PKC plays a role in
associative learning in Drosophila (Choi, 1991).
Activation of the Drosophila visual cascade is extremely rapid and results
in opening of the cation influx channels transient receptor potential (TRP)
and transient receptor potential-like (TRPL) within ~10-20 msec of
photostimulation of rhodopsin. The
G-protein-signaling cascade that leads to opening of the ion channels has
been extensively characterized and is known to involve the inositol
phospholipid-signaling system. Termination of the photoresponse, after
cessation of the light stimulus, is also rapid and is a Ca2+-regulated process; however, understanding of the mechanism by which Ca2+ contributes to termination of the photoresponse is quite
incomplete (Li, 1998 and references).
Several proteins have been identified that seem to mediate Ca2+-dependent termination of phototransduction.
These include the Ca2+-binding regulatory protein Calmodulin, which functions in both light adaptation and
termination of the light response.
The ninaC (neither inactivation nor afterpotential C) locus, which encodes two isoforms, p132 and p174,
each of which consists of a protein kinase domain fused to a myosin head domain, also functions in negative feedback regulation of the photoresponse. The two
NINAC proteins differ because of unique C-terminal ends. p174 is localized exclusively to the microvillar
portion of the photoreceptors, the rhabdomeres, and p132 is restricted to the cell bodies. Null mutations in ninaC cause defects in adaptation and response termination. These functions are caused by p174 because elimination of p174, but not p132, causes each of
these phenotypes. Because negative feedback regulation seems to be mediated by Ca2+, it is plausible that
p174 is regulated by Ca2+. However, p174 does not contain a known Ca2+-binding motif, such as an EF
hand or C2 domain, and there is no evidence that it binds Ca2+ directly. Thus, p174 seems to respond to the
light-dependent Ca2+ flux indirectly. One NINAC Ca2+ sensor is Calmodulin because NINAC binds to
Calmodulin and the NINAC-Calmodulin interaction is required for both adaptation and
termination. NINAC might also be regulated by
Ca2+-dependent phosphorylation because p174 contains multiple protein kinase C (PKC) consensus sites
including several in its unique C-terminal tail. Moreover, mutation of an eye-specific PKC (ePKC) causes
perturbations in adaptation and termination. The role of PKC in
negative feedback regulation may be more significant than that indicated by mutation of ePKC because a
second PKC, brain PKC (brPKC), is known to be enriched in the Drosophila retina and a third PKC,
PKC98F, is highly expressed in adult heads. Two retinal substrates for PKC have
been identified. These are the TRP cation influx channel and the PSD95, DLG, and
ZO-1 (PDZ)-containing protein inactivation, no afterpotential D (INAD), which binds
to most of the proteins that function in phototransduction and organizes a supramolecular signaling complex. However, the consequences of disrupting PKC phosphorylation of any
retinal substrate that functions in Drosophila vision have not been determined (Li, 1998 and references).
The current work shows that NINAC p174, which consists of a protein kinase domain joined to the head region of myosin heavy chain, is a phosphoprotein and is
phosphorylated in vitro by PKC. Mutation of either of two PKC sites in the p174 tail results in an unusual defect in deactivation that has not been detected
previously for other ninaC alleles or other loci. After cessation of the light stimulus, there appeared to be a transient reactivation of the visual cascade. This
phenotype suggests that a mechanism exists to prevent reactivation of the visual cascade and that p174 participates in this process. The termination mechanisms controlling Drosophila phototransduction seem to be more
complicated than previously envisioned. In addition to a requirement for NINAC in facilitating rapid
deactivation after cessation of the light stimulus, there is an additional requirement for this unconventional
myosin in preventing transient reactivation of the plasma membrane conductances. Because p174 also
functions in adaptation, it seems that NINAC has a central role in many aspects of negative feedback
regulation of the visual cascade. Recently, a homolog of NINAC has been identified in the mammalian retina
(D. Hillman, A. Dose, and B. Burnside, personal communication to Li, 1998). Thus, it is intriguing to speculate that
vertebrate NINAC also functions in negative feedback regulation and that an active mechanism may also
exist in mammalian photoreceptor cells to ensure stable termination of phototransduction (Li, 1998).
Conventional myosins (myosin-IIs) generate forces for cell shape change and cell motility. Myosin heavy chain phosphorylation regulates myosin function in simple eukaryotes and may also be important in metazoans. To investigate this
regulation in a complex eukaryote, the Drosophila myosin-II tail
expressed in Escherichia coli was purified and it was shown to be phosphorylated in vitro by protein kinase C(PKC) at serines 1936 and 1944, which are located in the nonhelical globular tail piece. These sites are close to a conserved serine that is phosphorylated in vertebrate, nonmuscle myosin-IIs. If the two serines are
mutagenized to alanine or aspartic acid, phosphorylation no longer occurs. Using
a 341 amino acid tail fragment, it has been shown that there is no difference in the salt-dependent assembly of wild-type phosphorylated and mutagenized
polypeptides. Thus, the nonmuscle myosin heavy chain in Drosophila, which is
encoded by the zipper gene, appears to be similar to rabbit nonmuscle
myosin-IIA. In vivo, transgenic flies were generated that expressed the various
myosin heavy chain variants in a zipper null or near-null genetic background. Like their wild-type counterparts, such variants are able to completely rescue the lethal phenotype due to severe zipper mutations. These results suggest that while the myosin-II heavy chain can be phosphorylated by PKC, regulation by this enzyme is not required for viability in Drosophila. Conservation during 530-1000 million years of evolution suggests that regulation by heavy chain phosphorylation may contribute to nonmuscle myosin-II function in some real, but minor, way (Su, 2001).
Learning is correlated with the assembly of new synapses, but the roles of synaptogenesis processes in memory are poorly understood. This study shows that mice lacking β-Adducin fail to assemble new synapses upon enhanced plasticity and exhibit diminished long-term hippocampal memory upon environmental enrichment. Enrichment enhanced the disassembly and assembly of dynamic subpopulations of synapses. Upon enrichment, stable assembly of new synapses depends on the presence of β-Adducin, disassembly involves β-Adducin phosphorylation through PKC, and both are required for augmented learning. In the absence of β-Adducin, enrichment still leads to an increase in spine structures, but the assembly of synapses at those spines is compromised. Virus-mediated re-expression of β-Adducin in hippocampal granule cells of β-Adducin-/- mice rescues new synapse assembly and learning upon enrichment. These results provide evidence that synapse disassembly and the establishment of new synapses are both critically important for augmented long-term learning and memory upon environmental enrichment (Bednarek, 2011).
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