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Vol. 19, Issue 11, 4776-4784, November 2008
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*Institute for Molecular Bioscience, University of Queensland, Brisbane 4072, Australia;
Queensland Brain Institute, University of Queensland, Brisbane 4072, Australia;
New York University School of Medicine, New York, NY 10016; and ||Centre for Microscopy and Microanalysis, University of Queensland, Brisbane 4072, Australia
Submitted April 21, 2008;
Revised July 25, 2008;
Accepted August 28, 2008
Monitoring Editor: J. Silvio Gutkind
| ABSTRACT |
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| INTRODUCTION |
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The solution to this conundrum may lie in the ability of Ras proteins to signal from different membrane environments in vivo. The classical Ras isoforms, H-Ras, K-Ras, and N-Ras, are tethered to the inner leaflet of the plasma membrane by carboxy-terminal lipid anchors (Hancock et al., 1989
, 1990
). The Ras isoforms are highly conserved except for significant sequence divergence in the carboxy-terminal 25 amino acids of the hypervariable region (HVR). The plasma membrane itself is a complex mosaic of dynamically distributed lipids and proteins that inflicts nonrandom distribution of signaling proteins into different types of transient nanodomains. H-Ras, K-Ras, and N-Ras each assemble into distinct, transient nanoclusters driven by interactions between the membrane anchor, flanking protein sequences, and lipids and proteins of the plasma membrane (Hancock and Parton, 2005
; Abankwa et al., 2008
). This lateral segregation is also regulated by Ras activation, because GTP-loaded H- and N-Ras proteins form nanoclusters that are spatially and structurally distinct from those formed by the cognate GDP-loaded proteins (Prior et al., 2001
, 2003
; Jaumot et al., 2002
; Plowman et al., 2005
; Abankwa et al., 2008
). Ras nanoclusters are the sites of effector recruitment and activation (Hibino et al., 2003
; Murakoshi et al., 2004
; Tian et al., 2007
; Plowman et al., 2008
). Importantly, individual K-RasGTP nanoclusters function as highly sensitive digital switches, translating graded Raf kinase inputs into fixed ERKpp signal outputs (Harding et al., 2005
; Tian et al., 2007
; Harding and Hancock, 2008a
). The signal outputs of N- and H-Ras nanoclusters at the plasma membrane are unknown, but in theory could be quite different from that of K-Ras nanoclusters, allowing the generation of multiple ERKpp outputs from the plasma membrane.
In addition to the plasma membrane, Ras proteins inhabit and signal from a wide range of internal membrane environments including the endoplasmic reticulum (ER) and Golgi (Chiu et al., 2002
; Roy et al., 2002
; Tohgo et al., 2002
; Perez de Castro et al., 2004
; Matallanas et al., 2006
). Ras activation on the Golgi does not require endocytosis or vesicular transport (Chiu et al., 2002
) and is mediated by Src-dependent signaling through PLC
1 and RasGPR1, separate from the Grb2/SOS pathway that activates signaling from the plasma membrane (Bivona et al., 2003
). Ras activation kinetics differ between the Golgi and the plasma membrane, with activation of Golgi-localized Ras being delayed but sustained and with the plasma membrane being more rapid and transient (Chiu et al., 2002
; Rocks et al., 2005
). The kinetics of Golgi signaling also varies between cell types, with Golgi signaling in lymphocytes being several fold faster than in fibroblasts (Bivona et al., 2003
). Interestingly, low-grade stimulation of lymphocytes specifically activates N-Ras on the Golgi (Perez de Castro et al., 2004
). Moreover, positive selection in lymphocytes induces recruitment and activation of RasGRP1 and Ras at the Golgi, whereas negative selection targets plasma membrane signaling (Daniels et al., 2006
). Together these studies indicate that fundamentally different biological outcomes from the MAPK pathway may be generated from different subcellular compartments; however, the biochemistry and system outputs that underpin these biological outcomes are unknown.
| MATERIALS AND METHODS |
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Antibodies and Reagents
Antibody against Ras and Raf-1 were purchased from BD Transduction Laboratories (Lexington, KY). Raf-1 pS338, MEKpp, and ERKpp antibodies were from Cell Signaling Technology (Beverly, MA). ERK2 antibody was purchased from Santa Cruz Biotechnology (Santa Cruz, CA).
Cell Culture
Baby hamster kidney (BHK) cells were grown and maintained in HEPES-buffered Dulbecco's modified Eagle's Medium containing 10% serum supreme. NIH3T3 and COS-1 cells were maintained in 10% fetal bovine serum. Cells were transfected using Lipofectamine 2000 (Invitrogen, Carlsbad, CA) according to the manufacturer's instructions and harvested after 24 h. PC-12 cells were cultured in Dulbecco's modified Eagle's Medium supplemented with 5% horse serum and 10% calf serum and transfected on coverslips using Lipofectamine 2000. Cells were grown for 72 h and analyzed for differentiation.
Immunofluorescence
Cells transfected onto coverslips were fixed in 4% paraformaldehyde after 24 h. The coverslips were quenched with 50 mM ammonium chloride and then permeabilized and blocked in 0.1% Triton, 3% BSA in phosphate-buffered saline for 30 min. Anti-protein disulfide isomerase (PDI) or anti-GM-130 was incubated on coverslips for 1 h, and anti-pERK was incubated overnight at 4°C, followed by secondary antibody, either mouse or rabbit-Cy3, for another hour. Coverslips were stained with DAPI for 5 min and mounted in Mowiol for confocal microscopy. Quantitative fluorescent microscopy was performed as previously described (Harding et al., 2005
).
Western Blotting
Cytosolic (S100) and membrane (P100) fractions prepared by 100,000 x g ultracentrifugation, or whole cell lysates, normalized for protein content, were resolved on SDS-PAGE gels and transferred to PVDF using semidry transfer. The membranes were probed with anti-Raf-1, anti-Ras, anti-Raf-1 p338, anti-pMEK, anti-pERK, or anti-ERK2 antibodies, developed using horseradish peroxidase–conjugated secondary antibodies and enhanced chemi-luminescence and imaged on a LumiImager (Roche Molecular Biochemicals, Indianapolis, IN).
Raf-1 Kinase Assay
BHK cells were subjected to hypotonic lysis, and a P100 fraction was prepared from postnuclear supernatants as described previously (Hancock et al., 1989
). P100 aliquots were normalized for protein content and assayed for Raf-1 activity by using a coupled MEK/ERK assay (Roy et al., 1997
).
Electron Microscopy
Apical plasma membrane sheets were prepared, fixed with 4% PFA, 0.1% glutaraldehyde, and labeled with affinity-purified anti-green fluorescent protein (GFP) antibodies conjugated directly to 5-nm gold as described previously (Prior et al., 2003
; Plowman et al., 2005
). Digital images of the immunogold-labeled plasma membrane sheets were taken at 100,000x magnification in an electron microscope (Jeol 1011, Peabody, MA). Intact 1-µm2 areas of the plasma membrane sheet were identified using Image J (http://rsb.info.nih.gov/ij/) and the (x,y) coordinates of the gold particles determined as described (Prior et al., 2003
; Plowman et al., 2005
).
| RESULTS |
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We measured activation of the MAPK cascade from each different type of Ras nanocluster. Raf targeted to -CTK, -tK, -CTH, and -CTN nanoclusters robustly activated ERK, whereas Raf-1 directed to -tH and -tN clusters generated very low levels of activated ERKpp (Figure 1A). To explore the basis of these differences we assessed the degree of Raf activation using an antibody specific to Raf phosphorylated on S338, one of the key Raf activation events (Diaz et al., 1997
). We observed a high degree of phosphorylation of S338 on Raf-tK, -CTK, -CTH, and -CTN, but low levels on Raf-tH and Raf-tN. These results suggest that active Ras nanoclusters are competent to activate Raf, whereas nanoclusters that correspond to inactive Ras are not. In all cases the expression level of the targeted Raf constructs was kept close to those of endogenous Raf, and in no experiment was the expression level of membrane-associated Raf more than two- to threefold greater than that of endogenous Raf (Supplemental Figure S3). In consequence the maximum levels of ERKpp generated, for example, by Raf-tK, were of a similar magnitude to that achieved by stimulating cells with epidermal growth factor (EGF) or ectopically expressing oncogenic mutant K-ras (Supplemental Figure S3).
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We have previously established that K-Ras nanoclusters function as high-gain amplifiers of the MAP kinase module (Tian et al., 2007
). We next asked whether different Ras nanoclusters reconfigure the MAPK module to give different outputs. We directly measured Raf kinase activity in a coupled MEK/ERK kinase assay. Raf-tK, Raf-CTK, and Raf-CTH possessed very high kinase activity, whereas Raf-CTN exhibited 6–10-fold lower kinase activity (Figure 1C), and no measurable kinase activity was associated with Raf-tH and Raf-tN (data not shown). In addition, we introduced a well-characterized point mutation, S619N (Harding et al., 2003
, 2005
; Tian et al., 2007
) into the kinase domain of Raf-tK, Raf-CTK, Raf-CTH, and Raf-CTN. The S619N mutation reduced Raf kinase activity of all of the nanoclustered Raf proteins to <5% of wild-type (Figure 1, C and D). Each S619N mutant Raf-tK, Raf-CTK, Raf-CTH, and Raf-CTN with <5% catalytic function generated active MEKpp levels that were
50% of those generated by the cognate wild-type targeted Raf with full catalytic activity. In turn, the reduced levels of MEKpp stimulated the same maximum ERKpp response as the wild-type control levels.
To verify that the ERKpp response from plasma membrane nanoclusters cannot be further increased, we introduced point mutations into Raf-tK at key Raf activation sites, S338 and Y340/Y341, to render these sites constitutively active (GFP-Raf-tK S338D and GFP-Raf-tK YY340/341DD). Analysis of the ERKpp levels revealed that these point mutations did not increase signal output when compared with Raf-tK (Figure 1D), confirming that the signal output from active Ras nanoclusters is at a maximum level. Taken together, these results show that all plasma membrane nanoclusters that activate Raf process variations in Raf input levels and convert them into a maximal ERKpp signal output, including the N-Ras (-CTN) nanocluster, which has a reduced capacity for Raf-1 activation. Thus all Ras nanoclusters at the plasma membrane have the same system output, functioning as high-gain amplifiers to generate maximal ERKpp output irrespective of Raf kinase input.
Signaling from the Golgi Generates Analog Signal Output
We next explored MAPK signal outputs from the endomembrane. Raf was targeted to the Golgi using a KDEL receptor-2 (KDELR) sequence. Raf-KDELR showed significant Golgi and ER staining (Figure 2A), reflecting shuttling between the ER and Golgi. As an alternative approach to target Raf specifically to the ER, we used the cytoplasmic tail of the first transmembrane domain of the avian infectious bronchitis virus M protein (Raf-IBVM), which harbors an ER-retention signal. Exclusive ER-localization of Raf-IBVM was verified by colocalization with PDI, an ER marker (Figure 2A). We expressed the endomembrane Raf constructs in BHK cells to identify which compartments would elicit MAPK signaling. Raf-KDELR induced robust activation of ERK, whereas Raf-IBVM did not, suggesting that activation of the MAPK module occurs from the Golgi but not the ER (Figure 2B). To confirm this observation, we generated a precise Golgi localized construct by introducing a cysteine-to-serine substitution at residue 181 of the Raf-CTH anchor (Raf-CTH-181S). A similar substitution confines H-RasC181S almost completely to the Golgi (Goodwin et al., 2005
; Rocks et al., 2005
; Roy et al., 2005
). Exclusive Golgi localization of Raf-CTH-181S was confirmed by immunofluorescent microscopy and colocalization with the Golgi marker GM130 (Figure 2A). Expression of Raf-CTH-181S in BHK cells activated ERK phosphorylation (Figure 2B). The ER-localized Raf-IBVM construct was also unable to activate ERK in NIH3T3 and COS-1 cells (Figure 2C). We therefore conclude that the MAPK module can be efficiently activated from the Golgi, but not from the ER.
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Biological Outputs from ERKpp Are Also Spatially Regulated
Finally we sought to determine whether activating the MAPK module from different spatial compartments produced correspondingly divergent biological outcomes. To this end we used the established assay of PC-12 differentiation to score biological output of the targeted Raf constructs. Pronounced differences were observed between the different cellular locations of Raf (Figure 4A). Raf directed to Ras plasma membrane nanoclusters that induced ERK activation (Raf-tK, -CTK, -CTH, and -CTN) also stimulated equivalent PC-12 differentiation, whereas Raf-tH and -tN did not. This is entirely consistent with our finding that nanoclusters corresponding to all active Ras isoforms generate maximal ERKpp output, whereas those corresponding to inactive Ras cannot activate the MAPK module. Golgi specific Raf-CTH-181S also induced PC-12 differentiation, although to lower levels than plasma membrane Raf, consistent with the activation of the MAPK module from the Golgi observed above. In striking contrast, Golgi localized Raf-KDELR induced limited differentiation despite an equally robust ERK activation.
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Analog Signal Output from the Golgi in Response to EGF Stimulation
Finally we explored whether endogenous activation of the MAPK module on the Golgi in response to EGF stimulation was also analog. To compare and contrast MAPK activation from the plasma membrane and Golgi, we took advantage of previous work that characterized different activation kinetics for the two compartments. EGF stimulation drives RBD recruitment almost exclusively to the plasma membrane at early time points (2–10 min) and to the Golgi at later time points (40 min; Chiu et al., 2002
). Therefore, we compared endogenous signaling dynamics from the plasma membrane and Golgi, respectively, by measuring MAPK activation after 2 and 40 min of EGF stimulation. Figure 5 shows the ERKpp levels in serum-starved BHK cells stimulated with a range of EGF concentrations for the two time points. The maximum levels of ERKpp generated from the Golgi and plasma membrane in response to EGF were equal, but were achieved at 3 versus 15 ng/ml EGF, respectively (Figure 5). Most interestingly however, the 2- and 40-min ERKpp activation profiles are very different. In accordance with previously published data, the generation of ERKpp from the plasma membrane (2-min profile) exhibits a linear relationship with the EGF concentration, a consequence of switch-like signaling within Ras nanoclusters (Tian et al., 2007
). In contrast, ERKpp activation from Golgi (40-min profile) at nonsaturating doses of EGF is strikingly nonlinear. Importantly, the shape of the Golgi activation profile observed in Figure 5 is as predicted for graded or analog activation of the MAPK module within Ras nanoclusters (Tian et al., 2007
; Harding and Hancock, 2008a
,b
).
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| DISCUSSION |
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Activation of the MAPK module from the plasma membrane revealed that not all Ras nanoclusters support Raf-1 activation. Robust activation of ERKpp occurred from -CTK, -tK, -CTH, and -CTN nanoclusters, but not from -tH and -tN nanoclusters. These data provide evidence for two classes of nanocluster at the plasma membrane. The first class corresponds to active Ras, supports Raf activation, and activates the MAPK module. The second class corresponds to inactive Ras, does not support Raf activation, and does not activate the MAP kinase module. Importantly, the ability of plasma membrane nanoclusters to activate the MAPK module is entirely dependent on their ability to activate Raf, because targeting constitutively active Raf to the -tH and -tN "null" nanoclusters rescued their ability to activate ERK.
Interestingly all plasma membrane nanoclusters that activate Raf have the same system output, functioning as high-gain amplifiers to generate maximal system output. This implies that scaffolding the MAPK module in plasma membrane nanoclusters results in a low activation threshold such that low levels of Raf kinase input generate maximal ERKpp signal output. The composition of activated N-Ras nanoclusters, however, was not optimal for Raf-1 activation. This may be related to N-Ras-GTP nanoclusters being cholesterol-dependent domains (Roy et al., 2005
), whereas H-Ras-GTP and K-Ras-GTP nanoclusters are cholesterol-independent domains. Previous work has shown that mistargeting H-Ras-GTP to cholesterol-dependent nanoclusters abrogates signal transmission to Raf-1 (Prior et al., 2001
), although the molecular basis of this effect remains unclear. Nevertheless -CTN nanoclusters still induce maximal ERK activation because of switch-like MAPK signaling.
In striking contrast to the plasma membrane, MAPK signaling from the Golgi generates a graded ERK output, indicating that different spatial locations do indeed rewire the MAPK module to generate different system outputs in vivo. Moreover, we successfully converted the ERKpp system output of Raf-CTH from digital to analog simply by redirecting it to the Golgi. This result clearly demonstrates that the nanoscale membrane environment is able to dictate signaling properties such as the activation threshold rather than these being inherent properties of the signaling complex. Our results further show that S338 phosphorylation is associated with Raf activation at the plasma membrane, but is not relevant for Raf activation or MAPK signaling from the Golgi. These different modes of Raf activation in turn precisely correlate with different ERK outputs, implicating Raf as a key control point in determining system output from the MAPK module.
It seems likely that the different mechanisms of Raf-1 activation on the Golgi and plasma membrane are a consequence of spatially constrained kinases, or other coactivators. In support of this conclusion a recent study showed that the plasma membrane scaffold KSR not only delivers MEK and ERK to Raf, but also the active haloenzyme CK2, required for Raf phosphorylation at S338 (Ritt et al., 2007
). Because, KSR functions exclusively at the plasma membrane, the lack of S338 phosphorylation on Golgi-localized Raf may be explained by the absence of an equivalent Golgi scaffold for CK2. By analogy, Sef, an ERK scaffold protein localized to the Golgi (Torii et al., 2004
), may supply alternative Raf-1–activating components, ensuring differential modes of Raf activation. A more limited set of Raf activation mechanisms at the Golgi may be critical to ensure analog MAPK output; in contrast to the plasma membrane where multiple, redundant activation mechanisms are required to match nanocluster lifetime to MAPK module activation (Tian et al., 2007
). Consistent with this hypothesis, the dynamics of Ras activation on the Golgi are also much slower than on the plasma membrane (Chiu et al., 2002
; Rocks et al., 2005
).
Two caveats need to be considered here: First, work from other groups has shown that constitutively active oncogenic mutant Ras targeted to the ER with the same IBVM anchor that we used to target Raf can activate ERK (Chiu et al., 2002
; Matallanas et al., 2006
), although less efficiently than it activates JNK (Chiu et al., 2002
). Our initial study was in BHK cells, but we also observed no activation of MAPK by Raf-IBVM in the NIH3T3 and COS-1 cell lines used for the Ras-IBVM studies; thus cell type differences do not account for our apparently quite different results. The simplest explanation for this discordance is that overexpressed oncogenic Ras is able to recruit additional signaling components or generate additional signals in trans, which allow some degree of kinase activation when Raf is recruited by Ras, whereas these signals are absent when Raf is targeted directly to the ER. We and others concur, however, that MAPK activation does occur on the Golgi, which is the more physiologically relevant endomembrane-signaling compartment (Chiu et al., 2002
; Matallanas et al., 2006
). Second, although our study makes extensive use of ectopic expression systems with all their inherent limitations, biological relevance is maintained by limiting the extent of over expression and by assaying endogenous MAPK signaling.
Our results indicate that to drive PC12 differentiation, high levels of nuclear ERKpp are necessary. Intriguingly, it appears there are at least two distinct signaling compartments within the Golgi. The first, represented by Golgi-localized CTH-181S, is able to activate the MAPK module to direct PC-12 differentiation. The second Golgi microenvironment corresponds to KDELR, is also able to activate the MAPK module but does not direct PC-12 differentiation. Our data, together with previous findings, indicates that spatial regulation of ERK signaling from the Golgi has a range of biological consequences. Sef has been shown to regulate ERK from the Golgi by inhibiting its nuclear translocation without disrupting its cytoplasmic function (Torii et al., 2004
). In addition, another study has shown negative regulation of Raf-1 at the Golgi by an interaction with the protein Raf Kinase Trapping to Golgi (RKTG; Feng et al., 2007
). The role of these proteins and precise mechanisms behind how the Golgi regulates positive and negative signaling requires further investigation.
The paradigm of Ras signaling from endomembranes was recently confirmed in fission yeast, where Ras activation at the plasma membrane regulates the MKK Byr2 to control mating, whereas at the endomembrane Ras regulates the Cdc42 exchange factor Scd1 to control cell morphology (Onken et al., 2006
). The striking observation that divergent cell fate decisions correspond to differences in Ras localization and ERK activation in T-cells during thymic selection provides indirect but compelling evidence that MAPK system output is also significantly different from the endomembrane compared with the plasma membrane (Daniels et al., 2006
). Here we validate these findings by formally showing that different system outputs are indeed generated from plasma membrane versus Golgi-localized Raf.
How cells translate the different signaling kinetics and system outputs from Golgi and plasma membrane MAPK activation into distinct cell fates needs further investigation. It is clear, however, that a high-fidelity measurement of signal strength with a wide dynamic range is provided by ERKpp output from plasma membrane nanoclusters, and it is high-strength signals from this platform immediately after ligand engagement that drives negative selection of T-cells in the thymus. In contrast positive T-cell selection correlates with Golgi-mediated ERK activation occurring at later time points after ligand engagement (Daniels et al., 2006
). One additional interesting feature of the signal outputs we observed from the plasma membrane and Golgi is the ability of the Golgi platform to generate delayed but high-strength ERKpp signals in response to low-strength EGF inputs that evoke an initial low-strength ERKpp output from the plasma membrane (Figure 5). Thus although the Golgi reads out the EGF signal with low fidelity (i.e., there is poor correlation between the EGF input and ERKpp output), it opens up a window where a low-strength signal can generate a weak early ERKpp signal, but a strong delayed ERKpp signal. It is tempting to speculate that this system engineering underlies the different cell fates observed for thymic T-cells (Daniels et al., 2006
) and, in other cellular contexts, may be used more widely to link spatial temporal regulation of ERK activation with divergent cell fates.
In summary, our data formally demonstrate the important principle that activation of the same pathway from spatially distinct membrane environments generates different biological outcomes. We show that different environments confer digital versus analog signaling adding another layer of regulation over MAP activation via both lateral segregation on the plasma membrane and subcellular compartmentalization. Importantly, our data reveal Raf activation as the central control point in activating the MAPK module and shows that the different nanoscale environments available to Ras can generate fundamentally different circuit configurations for the MAPK module.
| ACKNOWLEDGMENTS |
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| Footnotes |
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Present address: Department of Integrative Biology and Pharmacology, University of Texas Health Science Center, Houston, TX 77030. ![]()
Address correspondence to: John F. Hancock (John.F.Hancock{at}uth.tmc.edu)
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