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Vol. 14, Issue 1, 40-53, January 2003
and
§
§Instituto de Investigaciones
Biomédicas, CSIC, Madrid, Spain, and
Department of Pathology, Uniformed Services
University of the Health Sciences, Bethesda, Maryland 20829
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ABSTRACT |
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The involvement of Rho GTPases in signal transduction pathways leading to transcription activation is one of the major roles of this family of GTPases. Thus, the identification of transcription factors regulated by Rho GTPases and the understanding of the mechanisms of their activation and its biological outcome are of great interest. Here, we provide evidence that Rho GTPases modulate Stat5a, a transcription factor of the family of signal transducers and activators of transcription. RhoA triggers tyrosine phosphorylation (Y696) of Stat5a via a JAK2-dependent mechanism and promotes DNA-binding activity of Stat5a. Tyrosine phosphorylation of Stat5a is also stimulated physiologically by lysophosphatidic acid (LPA) in a Rho-dependent manner. Simultaneously, RhoA reduces serine phosphorylation of Stat5a at both serine residues S726 and S780, resulting in a further increase of activity as defined by mutagenesis experiments. Furthermore, serine dephosphorylation of Stat5a by RhoA does not take place by down-modulation of either JNK1, MEK1, or p38 MAP kinases, as determined by transfection experiments or chemical inhibition of both MEK1, p38, and JNK serine kinases. Thus, RhoA regulates Stat5a via tyrosine phosphorylation and via a yet to be determined novel down-modulating pathway that involves serine dephosphorylation. Finally, we provide evidence for a role of Stat5a in RhoA-induced epithelial-to-mesenchymal transition with concomitant increase in vimentin expression, E-cadherin down-regulation, and cell motility.
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INTRODUCTION |
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Rho GTPases are a multimember family of molecular
switches that belong to the Ras superfamily. Rho GTPases are involved
in regulation of cellular functions such as cell cytoarchitecture and
signal transduction, which relate to cell growth, development, apoptosis, tumorigenesis, and metastasis (Van Aelst and
D'Souza-Schorey, 1997
; Aznar and Lacal, 2001a
,b
; Bar-Sagi and Hall,
2000
; Ridley, 2001
). One of the most critical functions of Rho GTPases
is the regulation of transcription through a variety of transcription factors (Van Aelst and D'Souza-Schorey, 1997
; Aznar and Lacal, 2001a
,b
). Until recently, little has been known about the relationship between specific Rho-mediated regulation of transcription and cellular
function. However, transcription factors modulated by Rho GTPases and
the intracellular pathways that mediate their effects in the context of
Rho GTPases are starting to be identified. Thus, some of the links
between cell adhesion, motility, cell-cycle regulation, development,
apoptosis, cytoskeletal rearrangements, transformation, and metastasis,
with transcriptional regulation in the context of Rho, have been
described (for review, see Aznar and Lacal, 2001b
).
Rho GTPases activate nuclear factor (NF)-
B (Perona et
al., 1997
; Montaner et al., 1998
, 1999
), serum response
factor (SRF) (Hill et al., 1995
; Alberts et al.,
1998
; Montaner et al., 1999
), and transcription factors
(TFs) that depend on the JNK and p38 MAP kinase pathways. Substrates to
these kinases include ELK, PEA3, ATF2, MEF2A (Marinissen et
al., 2001
), Max, and CHOP/GADD153 (Van Aelst and D'Souza-Schorey,
1997
). However, the relationship of some of these TFs with Rho-induced
cellular responses is complex. For instance, discrepancies have been
described with respect to the activation of the SRF and its
interdependence on Rho-mediated cytoskeletal rearrangements (Sahai
et al., 1998
; Zohar et al., 1998
; Sotiropoulos
et al., 1999
).
The role of Rho GTPases in cellular transformation has attracted great
attention in the past 5 years. The link between transcription with
transformation, cell invasion, and metastasis is particularly interesting. Ever since it was shown that overexpression of either RhoA, Rac1, or Cdc42 transforms and promotes the metastatic phenotype of cultured 3T3 fibroblasts (Ballestero et al., 1991
; Perona
et al., 1993
; del Peso et al., 1997
), many
studies have described the physiological relevance of Rho signaling and
overexpression in human tumors (Clark et al., 2000
; Mira
et al., 2000
; Van Golen et al., 2000a
,b
; Abraham
et al., 2001
; Kamai et al., 2001
; Keely, 2001
;
Matsumoto et al., 2001
; Takamura et al., 2001
;
Takemoto et al., 2001
). Overexpression of Rho GTPases occurs
in many types of human tumors, and RhoA and Rac2 constitute early
markers for tumor progression of head and neck squamous cell cancer
(Abraham et al., 2001
). Accordingly, a role for RhoA in uPAR
transcription and expression has been described (Muller et
al., 2000
). Activation of oncogenic RhoA by extracellular matrix
signals such as laminin or fibronectin stimulates transcription of the
uPAR gene promoter region and results in enhanced motility and
invasiveness of cells (Bourdoulous et al., 1998
). Which
RhoA-modulated transcription factors are involved in this process is
unknown, but the presence of AP-1- and NF-
B-responsive elements in
the uPAR promoter points to a role of both TFs in this process (Dang
et al., 1999
; Wang et al., 2000
). Furthermore,
NF-
B has also been related to Rho GTPase-induced neoplastic
transformation (Whitehead et al., 1999
). Recently,
Marinissen et al. (2001)
described the role of two other transcription factors, ATF2 and MEF2A, in RhoA-mediated transformation via transcription of the c-jun gene. Furthermore, Rho
GTPases promote the transcription and expression of cyclin D1, which is directly related to cell cycle entry and enables aberrant cell growth
of tumoral cells (Westwick et al., 1997
; Danen et
al., 2000
; Welsh et al., 2001
). Additional
transcriptional regulatory effects and transcription factors modulated
by Rho GTPases have been described and thoroughly reviewed (Van Aelst
and D'Souza-Schorey, 1997
; Aznar and Lacal, 2001a
,b
; Charron et
al., 2001
; Delarue et al., 2001
).
We have recently reported that oncogenic RhoA and Cdc42 activate the
transcription factor Stat3 in human HEK cells and other cell lines
(Aznar et al., 2001
). RhoA induces both tyrosine and serine
phosphorylation of Stat3 by JAK2- and JNK1-dependent pathways, respectively. Furthermore, Stat3 is essential for RhoA-mediated neoplastic transformation, because two dominant negative
Stat3 mutants completely reverted Rho-induced anchorage-independent growth of human cells (Aznar et al., 2001
). Other reports
have related Stat3 with Rac1, and although the serine phosphorylation pathway appears to be SEK-1-dependent, the mechanism of Rac1-induced tyrosine phosphorylation is not yet fully understood (Schuringa et al., 2000
; Simon et al., 2000
; Faruqi et
al., 2001
; Schuringa et al., 2001
).
Stat transcription factors constitute a large family of latent
cytoplasmic transcription factors implicated in ligand-dependent growth
stimulation or differentiation and in antiproliferative effects
(Darnell, 1997
). Seven mammalian Stat genes have been identified thus
far. Here, we have investigated the effect of Rho GTPases on the
regulation of Stat5. Two separately encoded Stat5 transcription
factors, Stat5a and Stat5b, coexist (Grimley et al., 1999
).
Although Stat5 was initially discovered as a prolactin-stimulated ovine
mammary gland factor (Gouilleux et al., 1994
), it has become evident that a large number of different cytokines, growth factors, and
oncogenes promote tyrosine phosphorylation and transcriptional activation of Stat5a and Stat5b (Grimley et al., 1999
).
Activation of Stat5 follows a paradigm common to all Stat proteins, in
which phosphorylation of a single C-terminal tyrosine residue promotes Stat oligomerization via their SH2 domains, nuclear migration, and DNA
binding to specific elements. These include primarily cytokines of
class I and class II superfamilies, which couple to receptors that lack
intrinsic tyrosine kinase activity and therefore utilize a cytoplasmic
tyrosine kinase to phosphorylate Stat5a/b. The main family of
cytoplasmic tyrosine kinases that mediate this process is the Janus
kinase (JAK) family (Shuai et al., 1992
; Stahl
et al., 1995
; Darnell, 1997
). In addition, growth factor-stimulated receptor tyrosine kinases (RTKs) such as the insulin receptor, epidermal growth factor receptor, and
platelet-derived growth factor receptor promote tyrosine
phosphorylation of Stat5a on ligand binding, which might be
JAK-independent (Davud et al., 1996
; Chen et al.,
1997
; Valgeirsdottir et al., 1998
). As with Stat3, Src
family kinases have been also reported to directly phosphorylate and
activate Stat5 (Yu et al., 1997
).
In addition to tyrosine phosphorylation, serine phosphorylation is
another frequent mechanism by which Stat activity is modulated (Wen
et al., 1995
; Wen and Darnell, 1997
; Decker and Kovarik, 2000
). Although serine phosphorylation of Stat1 and Stat3 positively modulates their transcriptional activity (Wen et al., 1995
),
the functional and biological implications of Stat5a/b serine
phosphorylation appear to be more complex. Whereas two different Stat5a
serine residues (S726 and 780) are susceptible to phosphorylation, only one has been found in Stat5b (S730) (Yamashita et al., 1998
,
2002
). Also, the impact of Stat5a/b serine phosphorylation on
transcriptional activity might depend greatly on the cell type used as
well as the DNA element chosen (Yamashita et al., 1998
; Park
et al., 2001
). In this sense, phosphorylation of both Ser726
and Ser780 of Stat5a and Ser730 of Stat5b negatively regulate Stat5a/b
transactivation in prolactin stimulation of the mammary gland
(Yamashita et al., 1998
). Subsequent bursts of
glucocorticoids inhibit serine phosphorylation, eliminating its
inhibitory effect, which translates into increased Stat5a/b activity
and milk production (Beadling et al., 1996
). Conversely,
growth hormone (GH) stimulation of a GH-responsive luciferase
reporter is positively dependent on Ser730 of Stat5b and Ser780 but not
Ser726 of Stat5a (Yamashita et al., 2001
). Finally, Stat5a/b
transcriptional activity can be also regulated by interaction with
other nuclear proteins (Grimley et al., 1999
, Groner
et al., 2000
).
Here, we demonstrate that oncogenic RhoA induces activation of Stat5a by a mechanism that involves both tyrosine phosphorylation and reduction of serine phosphorylation. Also, we identify LPA as a physiological stimulus that induces tyrosine phosphorylation of Stat5a via RhoA. With respect to the biological effect of RhoA, we also show that Stat5a is necessary for the epithelial-to-mesenchymal transition (EMT) induced by oncogenic RhoA. Thus, Rho GTPases may modulate Stat5a in a manner that integrates other cell type-dependent signals and that differs mechanistically from that involved in Rho GTPase-induced Stat3 activation.
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MATERIALS AND METHODS |
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Cell Culture, Transfections, and Chemical Inhibitors
Madin-Darby canine kidney (MDCK) epithelial cells, Chinese hamster ovary 4 cells (CHO4), and human mammary carcinoma cells (MCF-7) were cultured in DMEM supplemented with 10% fetal bovine serum and 1 mM glutamine. For transient expression assays, 2 × 105 cells were transfected in 33-mm dishes by the Lipofectamine Plus method as described by the manufacturer (Invitrogen, Life Technologies, San Diego, CA). The amount of plasmidic DNA was kept constant at 3-5 µg per 33-mm plate with the corresponding empty vector, and 0.5 µg of reporter was transfected in all experiments. Stable cell lines were generated by transfection as described above and selection with appropriate antibiotics. For MDCK-RhoAQL-expressing cells, eight independent clones were selected and maintained in 500 µg/ml G418 (Sigma, St. Louis, MO). For Stat5DN and Stat5awt stable cell lines, MDCKs-RhoAQL were transfected with 2.0 µg of Stat5 expression vectors together with 0.2 µg of pHygro, and selection was performed with 500 µg/ml G418 and 150 µg of Hygromycin (Sigma). Four independent clones were selected for each Stat5a vector. P38 inhibitor SB203580 (Calbiochem, La Jolla, CA) and MEK1 inhibitor PD98059 (Calbiochem) were used at a final concentration of 20 and 50 µM, respectively. LPA was purchased from Sigma and was used at a concentration of 50 µM at the indicated times.
Plasmids
PCDNAIIIB plasmid (Invitrogen) and derived expression vectors
encoding for constitutively activated RhoA (QL), Rac1 (QL), and Cdc42Hs
(QL) proteins have been described (Aznar et al., 2001
). The 1×
Sp1GLECAT contains the Stat5-responsive sequence of the human Sp2.1
promoter inserted into a pBLCAT5-derived plasmid. Expression vector for
dominant negative JAK2 (pRk-JAK2-KE) and wild-type JAK2 were kind gifts
from Dr. I. M. Kerr. Stat5a, Stat5b, Stat5a S726A, Stat5a S780A,
and Stat5a S726/780A were generated as described (Yamashita et
al., 1998
,2001
).
Gene Expression Analysis
MDCK, MCF-7, or CHO cells (n = 2 × 105) were transfected with the indicated
plasmids. At 24-36 h after transfection, protein extracts were
prepared by lysis with the commercially available Reporter lysis buffer
(Promega, Madison, WI). The total amount of protein was determined with
a commercial kit based on the Bradford method (Bio-Rad, Hercules, CA).
Protein (2-4 µg) was assayed for chloramphenicol acetyl transferase
(CAT) activity by use of a xylene-based method as described (Aznar
et al., 2001
). Total counts (cpm) were detected with a 1214 RackBeta Liquid scintillation counter (WALLAC, Turku, Finland)
and normalized by micrograms of protein. Transfection efficiencies were
corrected by detection of the expressed proteins by Western immunoblotting.
Western Blot Assays and Antibodies
For protein expression assays, cells were transfected with the
corresponding plasmids and incubated in DMEM 0.5 or 10% FBS where
indicated for the next 24-36 h. The lysis was performed in Reporter
lysis buffer (Promega) containing 200 µM orthovanadate, 50 mM NaF, 20 µg/ml leupeptin, 20 µg/ml aprotinin, and 1 mM phenylmethylsulfonyl fluoride. Thirty micrograms of total protein was analyzed by SDS electrophoresis on 10% polyacrylamide gels (Bio-Rad). After transfer of proteins to Immobilon-P PVDF membrane (Millipore, Bedford, MA), the
blots were incubated with the corresponding antibodies. Immunocomplexes
were visualized by enhanced chemiluminescence detection (Amersham
Biosciences, Arlington Heights, IL) with either an anti-rabbit or
anti-mouse antibody conjugated to peroxidase (Santa Cruz Biotechnology,
Santa Cruz, CA).
-Stat5 monoclonal antibody was purchased from
Transduction Laboratories (Lexington, KY), phospho-Stat5a/b (Tyr
694/699) and phospho-Stat5a/b (Ser 726/731) were purchased from Upstate
Biotechnology (Lake Placid, NY), and all were used as indicated by the
manufacturer. Rabbit antiserum against Stat5a-Ser780 was generated as
described (Yamashita et al., 2001
). For gel supershift
analysis, anti-Stat5a was purchased from Santa Cruz Biotechnology.
Mouse monoclonal anti-phospho-p44/42 MAP kinase (Thr202/Tyr204) and
anti-phospho p38 were purchased from New England Biolabs
(Beverly, MA). JAK2-, RhoA-, and vimentin-specific polyclonal
antibodies were obtained from Santa Cruz Biotechnology.
Electrophoretic Mobility Shift Assays
For electrophoretic mobility shift assay (EMSA) assays, cells
were transfected with the corresponding plasmids and incubated in
DMEM-0.5% FBS for 36 h. Nuclear extracts were obtained as
described (Perona et al., 1997
). Nuclear protein was
measured with a commercial kit based on the Bradford method (Bio-Rad).
Two micrograms of nuclear protein was then incubated with 0.1 ng of
hProGLE probe (5000 cpm) or with unlabeled probe and subjected to
electrophoresis on a nondenaturing 4% acrylamide:bisacrylamide gel
(29:1) (Bio-Rad). For gel supershift analysis, the nuclear extract was
incubated for 10 min (at room temperature) with anti-Stat5a (Santa
Cruz) before addition of the labeled probe. For nonspecific
competition, an NF-
B binding element consisting of a single
B
site was used.
Wound-Healing Assay
The indicated cell lines were seeded in 60-mm dishes and maintained in normal growth conditions to confluence. At this point, a wound was inflicted with a sterile tip, and cells were washed twice with complete DMEM. Cell motility was monitored at 1-hr intervals.
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RESULTS |
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Oncogenic RhoA Induces Tyrosine Phosphorylation of Stat5a (Y696) but Not Stat5b (Y699) and Stat5a Transcriptional Activation in MDCK Epithelial Cells
A phosphospecific antibody that recognizes the tyrosine
phosphorylated form of Stat5a was used to verify whether oncogenic RhoA
(QL) is capable of inducing tyrosine phosphorylation of this transcription factor. MDCK cells were transfected with 2 µg of Stat5a
expression vector either with pcDNAIIIB or its derived vector encoding
for a constitutively active mutant of RhoA. Cells were maintained in
low serum content (0.5% FBS); 48 h after transfection they were
lysed, and whole-cell extracts were assayed for Stat5a tyrosine
phosphorylation by Western immunoblotting (Figure
1A, right). RhoA (QL) induces a readily
detectable increase in Stat5a tyrosine phosphorylation. To verify
whether these differences observed were not caused by differential
transfection of either Stat5a or RhoA (QL), the same blot was tested
for both Stat5a and RhoAQL expression. As seen in Figure 1A, the same
levels of Stat5a were present in both lanes, indicating that this
effect is specific to RhoA signaling. Furthermore, equal loading was verified by use of a tubulin-specific antibody.
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The same type of experiment was performed to verify whether RhoA stimulated tyrosine phosphorylation of Stat5b. As seen in Figure 1A, left, an antibody that recognizes Stat5b only when phosphorylated on tyrosine 699 did not detect any significant tyrosine phosphorylation of Stat5b in RhoAQL-expressing cells compared with parental MDCK cells. The observed effect on Stat5a was not a result of overexpression of the transcription factor along with RhoA, because a fivefold increase (determined by the relative intensities of the bands) in tyrosine phosphorylation of endogenous Stat5a in MDCK cells could be also observed (Figure 1B). Thus, RhoAQL induces tyrosine phosphorylation of Stat5a but not Stat5b.
Tyrosine phosphorylation of Stat proteins enables their
homodimerization or heterodimerization via their SH2 domains. Protein oligomerization, in turn, triggers a nuclear localization signal that
carries the transcription factor to the nucleus, where it can interact
with Stat-responsive DNA elements (Darnell, 1997
). Thus, we next
verified whether tyrosine phosphorylation of Stat5a by RhoA (QL) leads
to an increase in Stat5a transcriptional activity in MDCK cells and
other epithelial cell lines. A Stat5-responsive element from the
Sp2.1 promoter was cloned upstream of a luciferase reporter
gene, Sp1GLECAT, and Stat5 transcriptional activity was measured in
RhoA (QL) transfectants. PcDNAIIIB control vector or RhoAQL, Rac1QL,
and Cdc42QL were each cotransfected in MDCK cells with Stat5a
expression vector, along with the Sp1GLECAT reporter, and CAT activity
was measured 48 h after transfection (Figure
2A). Whereas RhoA induced a twofold to
threefold increase in Stat5a transcriptional activity, both Rac1QL and
Cdc42QL failed to promote Stat5a-dependent transcription. Furthermore,
the same effect is observed with two different stable clones that
express RhoA (QL), SP7.29 and SP7.3 (Figure 2B). According to the
functional assay, we verified that Rac1 and Cdc42 do not induce
tyrosine phosphorylation of Stat5a under the same conditions as with
RhoA (our unpublished observations). A Western blot against RhoA
is shown, and equal loading was verified with an anti-tubulin antibody. Interestingly, when other cell lines are verified for Stat5 activity in
RhoA (QL), Rac1 (QL), or Cdc42 (QL) transfectants, a differential pattern of activation is observed. Thus, in MCF-7 cells, both RhoA and
Cdc42 promote Stat5-dependent transcription, whereas Rac1 fails
to do so (Figure 2C). Conversely, Cdc42 (QL) failed to activate Stat5
in CHO cells, but both RhoA (QL) and Rac1 (QL) do so (Figure 2C).
Furthermore, RhoC promoted Stat5-dependent transcriptional activation
in HeLa and MCF7 cells (Figure 2D). Thus, Stat5a activation by
different members of the family of Rho GTPases appears to be cell
type-specific.
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Finally, we verified whether a physiological activator of RhoA would
induce tyrosine phosphorylation of Stat5a. To this end, we stimulated
serum-starved MDCK cells with LPA for 5, 15, 30, and 60 min and
verified tyrosine phosphorylation of Stat5a. In addition, dominant
negative RhoA (N19) was expressed transiently in MDCK cells, which were
then stimulated as mentioned with LPA. As observed in Figure
3A, exposure of MDCK cells to LPA for 5 min induced an approximately fourfold increase in the level of tyrosine
phosphorylated Stat5a (as determined by relative band intensities) in a
RhoA-dependent manner, because dominant negative RhoA (N19) completely
abrogated this effect. LPA-induced tyrosine phosphorylation of Stat5
was observed as early as 5 min after stimulation and was sustained up
to 30 min (data not shown). Steady-state levels of Stat5a and
efficient expression of RhoAN19 were verified (Figure 3A). Furthermore,
we verified whether LPA-induced tyrosine phosphorylation of Stat5a
would translate into an increase in the transcriptional activity of the
transcription factor. MDCK cells transfected with control vector or
with dominant negative RhoAN19 along with the Sp1GLECAT reporter were
left under low-serum conditions for 48 h and subsequently
stimulated with LPA for 12 h. LPA-induced transcriptional
activation of Stat5a was found to be weak but fully dependent on RhoA
(Figure 3B). Thus, LPA activates Stat5 via a signaling pathway that
depends on RhoA.
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Rho Promotes Binding of Stat5a to the Stat5-responsive Element of the Human Prolactin Promoter
Tyrosine phosphorylation of Stat proteins promotes their
homo-oligomerization or hetero-oligomerization and subsequent nuclear migration. Once in the nucleus, Stat5 oligomers may interact with other
accessory nuclear factors and bind to their consensus sequences to
modulate transcription (Grimley et al., 1999
). Because RhoA triggers tyrosine phosphorylation of Stat5a, we next verified its
DNA-binding potential under RhoA signaling. MDCK cells transfected with
either empty vector or RhoA (QL) together with Stat5a were maintained
in low serum for 36 h. Nuclear-enriched extracts were obtained,
and equal amounts of protein were used to assess Stat5a DNA binding to
the human prolactin gene promoter (hProGLE). Equal amounts of nuclear
extracts from control and Rho-transfected cells were subjected to EMSA
using radiolabeled hProGLE as a probe (Figure 4). RhoA (QL) transfectants showed a much
more intense binding than control cells (lane 2 vs. lane 1). Moreover,
whereas an NF-
B-binding element did not affect RhoA-dependent Stat5
DNA binding (lane 3), specific competition with excess amounts of
unlabeled probe completely eliminated the signal (lane 4). In
addition, incubation of nuclear extracts with anti-Stat5a antibody
diminished the intensity of the two lower bands and eliminated the
upper bands (lane 5), whereas Stat5b, Stat1, c-Jun, or ATF2 antibodies
had no effect over nuclear complex migration (our unpublished
observations). Thus, RhoA induces tyrosine phosphorylation of
Stat5a, which promotes its translocation to the nucleus, in which it
can interact with DNA elements responsive to this transcription factor.
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RhoA (QL)-induced Tyrosine Phosphorylation of Stat5a Is Mediated by JAK2 Tyrosine Kinase
Tyrosine phosphorylation of Stat5 is induced by diverse cytokines
and is performed by different tyrosine kinases (Grimley et
al., 1999
). We have recently found that RhoA induces tyrosine phosphorylation of Stat3 in human HEK cells via a JAK2-dependent pathway. Hence, we have studied the role of this tyrosine kinase in
Stat5a tyrosine phosphorylation by oncogenic RhoA. Coexpression of a
dominant negative mutant JAK2 (KE mutation) with RhoA, along with the
Sp1GLECAT reporter, resulted in complete inhibition of RhoA-stimulated
Stat5a transcriptional activity, with little effect over basal Stat5a
transcriptional activity (Figure 5A). In
addition, whereas expression of wild-type JAK2 produces no significant
increase in Stat5a transactivation, cotransfection with RhoA (QL) leads to a synergism in Stat5a activity (Figure 5B).
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We also needed to verify whether the differences observed in Stat5a activity were caused by a modulatory effect of JAK2 on tyrosine phosphorylation of Stat5a in the context of RhoA (QL). The same extracts as used for CAT activity were tested for Stat5 tyrosine phosphorylation. As shown in Figure 5C, whereas modulation of JAK2 activity does not have any effect over Stat5 tyrosine phosphorylation in MDCK parental cells (left), it does have a profound effect over Stat5a tyrosine phosphorylation downstream of RhoA (QL). Thus, expression of a dominant negative mutant (JAK2KE) completely eliminated such phosphorylation, whereas wild-type JAK2 enhanced RhoA-induced tyrosine phosphorylation of Stat5a (Figure 5C, right). As a control, expression of both wild-type and dominant negative JAK2 was verified by use of an anti-JAK2 specific antibody. Also, expression of RhoA (QL) was verified and confirmed to be similar in all lanes. Accordingly, the same result was obtained when the SP7.29 MDCK clone that constitutively expresses oncogenic RhoA was transfected with either wild-type or dominant negative JAK2 (Figure 5D). Thus, JAK2 lies downstream of oncogenic RhoA and mediates tyrosine phosphorylation of Stat5a, thus enabling its dimerization, DNA binding, and transcriptional activation.
RhoA Inhibits Stat5a Serine Phosphorylation of Ser726 and Ser780, Preventing Its Inhibitory Effect on Stat5a Transcriptional Activity
A second regulatory mechanism independent of tyrosine
phosphorylation has been described for several Stat proteins that
involves serine phosphorylation. However, only recently has the effect of Stat5a/b serine phosphorylation on Stat5 activity begun to be
unraveled. Two different serine residues are phosphorylated on
prolactin or GH stimulation of Stat5a (serines 726 and 780), and only a
single serine is phosphorylated in Stat5b (serine 730). Furthermore,
serine phosphorylation of Stat5a/b appears to constitute a fine-tuning
mechanism of Stat5 activity (Gouilleux et al., 1994
; Yamashita et al., 1998
, 2001
; Park et al., 2001
).
We therefore analyzed the pattern of serine phosphorylation downstream
of oncogenic RhoA (QL). To this end, we used two phosphospecific antibodies that recognize either the serine-phosphorylated form of
Stat5a on Ser726 or serine phosphorylated Stat5a on Ser780. In
addition, three Stat5a serine mutants were used that contain a Ser726
or Ser780 mutated to alanine (Stat5a S726A and Stat5a S780A,
respectively) and the double mutant (Stat5a S726/780A). Wild-type Stat5
or the serine mutants S726A and S780A were cotransfected into MDCK
cells with either control vector or RhoA (QL), and whole-cell extracts were subjected to Western immunoblotting.
Figure 6A shows that RhoA (QL) reduced
the level of Stat5a serine phosphorylation of both Ser726 and Ser780.
To confirm that this effect was not caused by differential expression
of Stat5, the levels of total Stat5a were verified by use of an
anti-Stat5 specific antibody. Furthermore, RhoA levels were detected to
be equal in extracts derived from RhoA transfectants. Finally, equal
loading was verified by determining the levels of intracellular
tubulin. Thus, RhoA (QL) produces an inhibitory effect over Stat5a
serine phosphorylation of both Ser726 and Ser780.
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Next, the functional relevance of the inhibitory effect of RhoA over serine phosphorylation of Stat5a was investigated. Wild-type Stat5a or either single serine mutant (S726A, S780A) and the double serine mutant (S726/780) were coexpressed with RhoA or control vector, along with the Sp1GLECAT reporter, and CAT activity was measured (Figure 6B). Surprisingly, abrogation of either serine led to a twofold to threefold increase in Stat5a transcriptional activity compared with wild-type activity. Accordingly, Stat5A S726/780A that completely lacks serine phosphorylation showed a synergistic increase in activity with respect to wild-type Stat5a. With the same extracts, the level of serine phosphorylation was detected by Western blot (Figure 6C). As seen in Figure 6C, a significant reduction in Ser726 phosphorylation (approximately 50% reduction in intensity) of both wild-type Stat5a and Stat5a S780 was observed in RhoA-expressing cells with respect to control cells. We then verified the expression of both Stat5a and S780A with an anti-Stat5 antibody to confirm that these differences in both transcriptional activity and serine phosphorylation were not because of their differential expression. As expected, the levels of both wild-type and serine mutants in control cells versus RhoA-expressing cells were similar. Furthermore, this analysis established that the apparent lower levels of Ser726 phosphorylation of Stat5a S780A mutant with respect to wild-type Stat5a were a result of lower expression of the serine mutant. Also, RhoA (QL) was expressed equally in all RhoA transfectants. Similar results were obtained when the levels of phosphorylation of serine 780 were studied, although the effect of RhoA on dephosphorylation of this residue is milder than that obtained with serine 726, with a reduction of ~30% in the content of phosphorylation (our unpublished observations ).
RhoA-induced Serine Dephosphorylation of Stat5a Is Not Mediated by MEK-1, p38, or JNK Kinases
Because inhibition of Stat5a serine phosphorylation of
both Ser726 and Ser780 by RhoA translates into an increase in Stat5a transcriptional activity, we next wanted to determine which serine kinase is down-modulated by RhoA under these circumstances that results
in this effect. Constitutive serine phosphorylation of Stat5a in Nb2
lymphoma cells has been described to be MEK1-dependent, by use of the
MEK1 inhibitor PD98059 (Kirken et al., 1997
). Thus, we
studied the effect of blocking MEK1 function on RhoA-induced Stat5a
activation. Wild-type Stat5a, Stat5a S726A, or Stat5a S780A was
cotransfected with control vector or RhoA (QL), together with the
Sp1GLECAT reporter. Eight hours after transfection, cells were treated
with PD98059 (50 µM) for 16 h, and cells were harvested for CAT
assay and Western immunoblotting. Inhibition of MEK1 in both control cells and RhoA (QL)-expressing cells resulted in a
twofold increase in Stat5a transcriptional activity (Figure 7A). We were able to determine Ser726 as
the PD98059-sensitive Stat5a serine residue, because the S726A mutant
was unaffected by PD98059, whereas the S780A mutant showed an increase
in activity when treated with PD98059 (Figure 7A).
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When Stat5a serine phosphorylation was determined by Western immunoblotting with the same extracts, this observation was confirmed (Figure 7, B and C). Whereas phosphorylation of serine 726 is sensitive to PD98059 treatment, with an approximate reduction in phosphorylation intensity of 40% (Figure 7B), phosphorylation of serine 780 remained unaffected (Figure 7C). The same effect over phosphorylation of serine 726 was observed with shorter exposures to PD98059, 6 and 8 h (our unpublished observations). Phospho-ERK1/2 levels were verified as a control of PD98059 functional inhibition. In addition, to study whether RhoA (QL) directly modulates the activation of MEK1, we verified the pattern of MEK1 phosphorylation in control cells versus RhoA transfectants (Figure 7B). The levels of MEK1 phosphorylation were the same in control and RhoA-transfected cells, indicating that the effects of both MEK1 and RhoA (QL) on Stat5a serine phosphorylation are independent events and constitute two parallel mechanisms of Stat5a transcriptional modulation. Finally, we verified that the differences in transcriptional activity observed after PD98059 treatment were not a result of changes in tyrosine phosphorylation of Stat5a, as shown in Figure 7D. Together, treatment with PD98059 and activation of RhoA (QL) led to an increase in Stat5a transcriptional activity, presumably as a consequence of the inhibition of phosphorylation of Ser726.
We also examined the possible effect of p38 and JNK on RhoA regulation of Stat5a activity using a type of analysis similar to that for MEK1. Thus, MDCK cells transfected with either Stat5a, Stat5a S726A, or Stat5a S780A, with control vector or RhoA (QL), along with the Sp1GLECAT reporter were treated with the p38-specific inhibitor SB203580. Treatment with SB203580 led to a 2.5-fold increase in Stat5a activity in RhoA transfectants (our unpublished observations). However, when either mutant was treated with the inhibitor, no change in activity was observed with respect to untreated cells. In addition, analysis of the phosphorylation of both Ser726 and Ser780 revealed that residues of both serines remain unaffected by treatment with SB203580. Thus, p38 negatively regulates Stat5a transcriptional activity by an unknown mechanism that does not involve direct modulation of serine phosphorylation of the transcription factor, which is independent of RhoA.
Finally, we verified whether the JNK pathway is involved in serine
dephosphorylation of Stat5a induced by RhoA. To that end, we expressed
in MDCK-RhoAQL-expressing cells the JNK-binding domain of the scaffold
protein JIP1 (called JIP1
) and measured the transcriptional activity
of Stat5a via the Sp1GLECAT reporter (our unpublished observations). We did not observe any effect on the
transcription or serine phosphorylation of Stat5awt or the serine
mutants S726A and S780A. Therefore, we concluded that the JNK1 pathway
is not involved in RhoA-mediated activation of Stat5a.
Thus, RhoA (QL) down-modulates the activity of a yet to be identified Stat5a serine kinase, which in turn leads to activation of Stat5a transcription factor
Stat5a Is Necessary for RhoA-induced EMT in MDCK Cells
We wanted to study the effect(s) Stat5a could have on RhoA
biological functions. To that end, we generated stable cell lines of
MDCK-RhoAQL cells with Stat5awt or Stat5DN (Figure
8A). Interestingly, RhoAQL-expressing
cells had undergone a readily visible EMT with respect to MDCK cells.
However, whereas the morphology of Stat5DN stable cell lines resembled
that of parental MDCK cells, stable expression of Stat5awt further
potentiated a transition to a fibroblastic morphology (representative
pictures are shown in Figure 8B). This effect was confirmed by analysis
of the levels of expression of vimentin. In this sense, expression of
dominant negative Stat5 significantly reduced the levels of vimentin
with respect to MDCK-RhoAQL cells, whereas Stat5awt potentiated
vimentin expression (Figure 8A). Furthermore, these effects were
specific to RhoA signaling, because stable expression of dominant
negative Stat5a or Stat5awt did not significantly change the morphology
of the cells or vimentin expression of the parental MDCK cell line
(Figure 8C).
|
We next verified the effect Stat5 had over E-cadherin, an adhesion protein required for adherens junctions whose expression is lost after EMT. As observed in Figure 8C, whereas Stat5aDN or Stat5awt alone had no effect over E-cadherin, stable expression of RhoAQL led to complete down-regulation of E-cadherin. However, coexpression of dominant negative Stat5a with RhoAQL reverted E-cadherin expression back to MDCK levels (Figure 8C). Accordingly, vimentin expression was confirmed to reflect the morphology of the cells.
Finally, we studied the relative motility of MDCK and MDCK-RhoAQL cells and the effect Stat5a could have over such motility. To this end, we performed a wound-healing assay comparing the motility of the MDCK, MDCK-Stat5aDN, MDCK-Stat5awt, MDCK-RhoAQL, RhoAQL-Stat5aDN, and RhoAQL-Stat5awt stable cell lines. Figure 8D shows representative pictures taken at 1 and 10 h after the wound was inflicted. MDCK and the Stat5a transfectant cell lines had no visible motility. Conversely, RhoAQL-expressing cells were highly motile compared with the parental MDCK cell line. Moreover, whereas Stat5awt enhanced, Stat5aDN completely eliminated the motility of MDCK-RhoAQL cells (Figure 8D). The difference in relative motility between RhoAQL and RhoAQL-Stat5awt cells was visible as early as 6 h (Figure 8D). Thus, Stat5a is necessary for the EMT induced by RhoA.
| |
DISCUSSION |
|---|
|
|
|---|
We describe a novel signaling pathway that links RhoA to the
transcription factor Stat5a. Specifically, RhoA stimulated activation of Stat5a, as demonstrated by inducible tyrosine phosphorylation of
both endogenous and ectopically expressed protein, DNA binding, and
Sp1GLE Stat5-dependent transcriptional activation. RhoA acts downstream
of LPA to orchestrate the signaling proteins required for proper
tyrosine phosphorylation of Stat5a that ultimately leads to its
transcriptional activation. The mechanism of RhoA-induced tyrosine
phosphorylation of Stat5a involved JAK2 tyrosine kinase, because a
dominant negative JAK2 mutant completely inhibited, and wild-type JAK2
greatly enhanced, RhoA-mediated Stat5a tyrosine phosphorylation and
transcriptional activation. A functional interaction between JAK2 and
Rho GTPases has been described previously (Simon et al.,
2000
; Aznar et al., 2001
). In this sense, both RhoA and Rac1
activate JAK2, which leads to tyrosine phosphorylation of Stat3. Thus,
JAK2 may represent a convergence point between Rho signaling and Stat
transcription factors.
Interestingly, we have not observed tyrosine phosphorylation of Stat5b
using a phosphospecific antibody that recognizes only its tyrosine
phosphorylated form. We do not know the functional implication of this
finding, but several works have already described a discrimination of
Stat5a and Stat5b activation after specific stimuli. In this sense,
stimulation of the promonocytic U937 cells with IFN-
and IFN-
leads to tyrosine phosphorylation and transactivation of Stat5a but not
Stat5b (Meinke et al., 1996
). The same study reported that
IFN-
did not activate either Stat5a or Stat5b in HeLa cells despite
the expression of both Stat5 isoforms at similar levels (Meinke
et al., 1996
). Furthermore, granulocyte-monocyte colony-stimulating factor stimulates Stat5a but not Stat5b activation in human peripheral-blood monocytes (Rosen et al., 1996
),
whereas the same stimulus in human neutrophils activates Stat5b and not Stat5a (Al-Shami et al., 1998
). Finally, selective gene
disruption of Stat5a or Stat5b in mice has dissected individual
functions, further pointing to the relevance of specific effects of
each Stat5 isoform (Levy and Gilliland, 2000
).
We have found that oncogenic RhoA lowers the serine phosphorylation
content of Stat5a. Both Ser726 and Ser780 are constitutively phosphorylated under normal serum conditions, and on RhoA expression, a
strong dephosphorylation of serine 726 and a milder dephosphorylation of serine 780 take place that lead to an enhancement of Stat5a transcriptional activity. The component that involves Stat5a serine dephosphorylation is intriguing. Thus, RhoA directly modulates the
activity of yet to be identified Stat5a serine kinases that phosphorylate Ser726 and Ser780. This down-modulation might take place
via direct inactivation of specific kinases responsible for Stat5a
serine phosphorylation, modulation of either their half-life or
expression, or activation of a specific phosphatase. In contrast to
what would be expected from studies of Stat3 or Stat1, serine
phosphorylation of Stat5a was found to be inhibitory in the cellular
and molecular context of the present work. Two recent studies point to
modulatory roles of Stat5a/b serine phosphorylation that may be
positive or negative with regard to transcriptional regulation (Park
et al., 2001
; Yamashita et al., 2001
). Thus, prolactin stimulation of murine mammary cells leads to both tyrosine and serine phosphorylation of Stat5a/b. However, Stat5 transcriptional activity in this context remains latent. Subsequent glucocorticoid stimulation does not affect Stat5 tyrosine phosphorylation but leads to
the serine dephosphorylation of both Stat5 isoforms, which translates
into an increase in Stat5 transcriptional activity (Groner et
al., 2000
). Conversely, Stat5a-dependent transcription of a
GH-responsive ntcp-reporter gene positively depends on Ser731 of Stat5b
and Ser780 of Stat5a (and not Ser726) (Park et al., 2001
).
Thus, mutation of these serine residues to alanine in the context of GH
leads to a decrease in Stat5a/b transactivation. In contrast, mutants
Stat5a-S726/780A and Stat5b-S731A in the same cell system display a
twofold higher GH- or PRL-stimulated transcriptional activity compared
with their wild-type Stat5a/b when assayed with a
-casein promoter
reporter (Park et al., 2001
). This clearly indicates that
the promoter context used for measuring Stat5a/b transcriptional
activity with respect to its serine phosphorylation is a key element to
take into account. In the present study, we provide further evidence
for a suppressive effect of serine phosphorylation on Stat5a
transcription in the context of the Sp2.1 promoter and RhoA signaling.
Attempts have been made to identify the mechanism for regulation of
serine dephosphorylation. Our results demonstrate that treatment with
the specific inhibitor PD98059 enhances the transcriptional activity of
Stat5a. This effect is associated with dephosphorylation of S726 but
not Ser780; PD98059 treatment related directly only to Ser726
dephosphorylation, because the S726A mutant was unaffected by PD98059,
whereas the S780A mutant showed an increase in activity when treated
with PD98059. However, RhoA does not modulate MEK1 activity in this
cell line, indicating that both MEK1 and RhoA affect Stat5a serine
phosphorylation by two independent mechanisms. These results are also
consistent with a second, unidentified, serine kinase involved in the
regulation of the S780 residue.
We have also established that a p38-dependent signal affects Stat5a regulation. Inhibition of p38 by SB203580 resulted in an increase in Stat5a activity. However, contrary to MEK1 blockage, inhibition of p38 had no effect on the phosphorylation state of either Ser726 or Ser780. These results are intriguing, because both serines are insensitive to p38 inhibition, and it would be expected that both Stat5a serine mutants show the same increase in transcriptional activity as the wild-type Stat5a does. Given that the activity of both mutants is the same in SB203580-treated and untreated cells, this implies an indirect mechanism; for instance, a protein interaction that depends on two intact serine residues of Stat5a, whereby mutation of either serine residue would eliminate this interaction and its inhibitory activity, thus eliminating the sensitivity to SB203580. Alternatively, p38 might modulate Stat5a activity via a novel serine residue. Furthermore, as for MEK1, no functional interaction between RhoA and p38 was found, indicating that both proteins modulate Stat5a activity by two independent mechanisms. To the best of our knowledge, this is the first evidence of a modulatory role for p38 on Stat5a. With respect to JNK, we have not found any modulatory action of this pathway over serine phosphorylation or transcriptional activity of Stat5a in the context of RhoA.
Although the present study demonstrated that RhoA activated Stat5a, the two other prototypes of Rho GTPases, Rac1 and Cdc42, were also capable of inducing Sp1GLE Stat5-dependent transcriptional activation in specific cell lines such as MCF-7 or CHO-4. However, the pattern of Sp1GLE transcription downstream of Rho GTPases differed depending on the cell line used. Thus, whereas Rho is capable of efficiently triggering Sp1GLE transcription in MDCK cells, Rac1 and Cdc42 fail to induce either tyrosine phosphorylation or transcriptional activation of Stat5a. Furthermore, we have found that oncogenic RhoC (V12) is also capable of triggering transcriptional activation of Stat5 in MCF7 and HeLa cells. Given that RhoC was recently found to be overexpressed in >90% of inflammatory metastatic breast cancer and that expression of RhoC in human mammary epithelium mimics the inflammatory metastatic breast cancer phenotype, the role of Stat5a in RhoC-induced neoplastic transformation is of direct interest. Furthermore, the specific mechanism whereby Rac1, Cdc42, or RhoC activates Stat5a or Stat5b remains to be determined.
Finally, we have determined that Stat5a is necessary for RhoA-induced
EMT. Several works have pointed out a role of Rho GTPases in cell shape
and motility (Evers et al., 2000
; Ridley, 2001
). For
instance, RhoA is necessary for some of the morphological changes
necessary for the EM transition of Ras-transformed mammary epithelial
cells (Zhong et al., 1997
). Also, RhoA mediates both transforming growth factor-
- (1 and 3) and Ras-induced transition to a fibroblastic phenotype of epithelial cells (Bakin et
al., 2000
; Zondag et al., 2000
; Bhowmick
et al., 2001
; Kaartinen et al., 2002
). In our
system, modulation of Stat5a activity modulates the necessary elements
essential for this cytoskeletal change induced by RhoA. This same
effect was recently described for SRF, whose activity is modulated by
changes in actin dynamics necessary for the epithelial to mesenchymal
transition of tumor cells induced by RhoA (Sotiropoulos et
al., 1999
; Psichari et al., 2002
). SRF-induced EMT
takes place via expression of vinculin, actin, and SRF itself. In our
particular system, we have observed that Stat5a modulates the
expression of vimentin and E-cadherin. Whether SRF and Stat5a cooperate
functionally to promote EMT is currently unknown. To the best of our
knowledge, this is the first evidence of a role for Stat5 in the
cytoskeletal changes that occur during EMT. Although Stat3 has been
implicated in hepatocyte growth factor-induced tubulogenesis, we do
not know whether both family members cooperate in this process
(Boccaccio et al., 1998
). With this in mind, we do not
exclude the possibility that Stat5a might be involved in EM transition
in a more general manner rather than only downstream of RhoA. Rho is
capable of regulating cell adhesion both in a positive and in a
negative manner depending on the stimulus and the intracellular
pathways activated, namely ROCK and mDia, respectively (Sahai and
Marshall, 2002
). In our context, whether Stat5a is only
positively implicated in RhoA-induced EMT via ROCK, or by contrast
whether it constitutes a modulatory mechanism exerted by Rho on
specific extracellular stimuli and matrix components to either disrupt
or stabilize adherens junctions, is currently under study.
Thus, both these findings further potentiate the knowledge that regulation of transcription exerts profound effects in Rho GTPase-meditated functions that ultimately lead, in the context of tumoral cells, to a transformed phenotype. Together, these results point to a general role of Stat proteins in the biological functions of Rho GTPases.
| |
FOOTNOTES |
|---|
* These two authors contributed equally to this work.
Corresponding author. E-mail address:
jclacal{at}iib.uam.es.
Article published online ahead of print. Mol. Biol. Cell 10.1091/mbc.E02-08-0454. Article and publication date are at www.molbiolcell.org/cgi/doi/10.1091/mbc.E02-08-0454.
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