a functional sirna screen identifies genes modulating angiotensin ii-mediated egfr transactivation
TRANSCRIPT
A functional siRNA screen identifies genes modulating angiotensin II-mediated
EGFR transactivation
Amee J. George1,3,4,5, Brooke W. Purdue1, Cathryn M. Gould4, Daniel W. Thomas4, Yanny
Handoko4, Hongwei Qian6, Gregory A. Quaife-Ryan1, Kylie A. Morgan3, Kaylene J. Simpson2,4,5,
Walter G. Thomas1*# and Ross D. Hannan1,2,3,4,7,8*
1 School of Biomedical Sciences, The University of Queensland, St. Lucia, Queensland, 4072,
Australia; 2 Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville,
Victoria, 3010, Australia; 3 Oncogenic Signalling and Growth Control Program, Peter MacCallum
Cancer Centre, East Melbourne, Victoria, 3002, Australia; 4 The Victorian Centre for Functional
Genomics, Peter MacCallum Cancer, East Melbourne, Victoria, 3002, Australia; 5 Department of
Pathology, The University of Melbourne, Parkville, Victoria, 3010, Australia; 6 Baker IDI Heart and
Diabetes Institute, Melbourne, Victoria, 3004, Australia; 7 Department of Biochemistry and
Molecular Biology, The University of Melbourne, Parkville, Victoria, 3010, Australia; 8 Department
of Biochemistry and Molecular Biology, Monash University, Clayton, Victoria, 3800, Australia.
* Both authors share senior authorship of this manuscript
# Corresponding author
Corresponding author address:
Professor Walter G. Thomas
School of Biomedical Sciences
The University of Queensland
St. Lucia QLD 4072 Australia
Telephone: +61 7 3365 3034
Facsimile: +61 7 3365 1766
Email: [email protected]
Running title: Genes modulating EGFR transactivation
© 2013. Published by The Company of Biologists Ltd.Jo
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JCS Advance Online Article. Posted on 17 September 2013
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Summary
The angiotensin type 1 receptor (AT1R) transactivates the epidermal growth factor receptor (EGFR)
to mediate cellular growth, although the molecular mechanisms are not resolved. To address this, we
performed a functional siRNA of the human kinome in human mammary epithelial cells that
demonstrate a robust AT1R-EGFR transactivation. We identified a suite of genes that both positively
and negatively regulate AT1R-EGFR transactivation. Many candidates comprised components of
EGFR signalling networks, whereas others, including TRIO, BMX and CHKA, had not been
previously linked to EGFR transactivation. Individual knockdown of TRIO, BMX or CHKA
attenuated tyrosine phosphorylation of the EGFR by angiotensin II stimulation, but not following
direct stimulation of the EGFR with EGF, indicating that these genes function between the activated
AT1R and the EGFR. Further investigation of TRIO and CHKA revealed that their activity is likely
to be required for AT1R-EGFR transactivation. CHKA also mediated EGFR transactivation in
response to another GPCR ligand, thrombin, indicating a pervasive role for CHKA in GPCR-EGFR
crosstalk. Our study reveals the power of unbiased, functional genomic screens to identify new
signalling mediators important for cell biology related to tissue remodelling in cardiovascular disease
and cancer.
Keywords: angiotensin/EGFR/G protein-coupled receptor/siRNA/transactivation
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Introduction
Apart from its well-studied roles in vasoconstriction, aldosterone release, and fluid balance,
angiotensin II (AngII), the principal effector of the renin-angiotensin system (RAS), influences a
selection of homeostatic and modulatory processes that can also serve as targets for dysregulation
and subsequent development of pathological states. These include cellular growth (hypertrophy) and
remodelling (fibrosis); dyslipidaemia; endothelial dysfunction, aneurysms and angiogenesis (Iwai
and Horiuchi, 2009; Lu et al., 2008; Mehta and Griendling, 2007; Weiss et al., 2001); pro-
inflammatory responses (Rompe et al., 2010; Schiffrin, 2010); stem cell programming and
haematopoiesis (Heringer-Walther et al., 2009; Park and Zambidis, 2009; Zambidis et al., 2008);
neuromodulation including cognition, memory and dementia (Li et al., 2010; Miners et al., 2009) and
more recently described in cancer, as reviewed by us (George et al., 2010).
AngII acts primarily on the angiotensin type 1 receptor (AT1R), a G protein-coupled receptor
(GPCR) encoded by a single gene (AGTR1) in humans and two homologous isoforms in rodents
(AT1A and AT1B) (de Gasparo et al., 2000; Hunyady and Catt, 2006; Mehta and Griendling, 2007).
Activated AT1Rs couple to the heterotrimeric G proteins Gq/11 (to stimulate phospholipase C β-
mediated calcium mobilisation), Gi/o, G12/13 and Gs, as well as the monomeric G proteins (e.g. Rho,
Ras and Rac) (de Gasparo et al., 2000; Guilluy et al., 2010). The activated AT1R also couples to
soluble and receptor tyrosine kinases, the mitogen-activated protein kinases (MAPK) (extracellular
regulated kinases, ERK1/2, p38 MAPK and Jun N-terminal kinase), the JAK-STAT pathway, the
generation of reactive oxygen species and various ion channels (de Gasparo et al., 2000; Hunyady
and Catt, 2006; Mehta and Griendling, 2007). Signal termination is mediated by receptor
phosphorylation and recruitment and binding of arrestins (Qian et al., 2001), which terminate initial
signalling, mediate receptor endocytosis and also act as scaffolds to support secondary and tertiary
signalling complexes (Shenoy and Lefkowitz, 2011).
Daub and colleagues first reported that the epidermal growth factor receptor (EGFR) and the neu
oncoprotein (ErbB2/HER2) are phosphorylated when stimulated with GPCR agonists endothelin 1,
lysophosphatidic acid (LPA) and thrombin, which could be inhibited when cells were treated with
EGFR antagonist AG1478, suggestive of a role for GPCRs in receptor tyrosine kinase signalling
cross-talk (Daub et al., 1996). Since then, we and others have demonstrated that the AT1R can
‘hijack’ EGFR familly signalling machinery and this is crucial for the downstream AT1R-mediated
growth signalling and functional effects, such as cellular hypertrophy and/or proliferation (Asakura
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et al., 2002; Eguchi et al., 2001; Mifune et al., 2005; Thomas et al., 2002). Various mechanisms have
been described to explain AT1R-EGFR transactivation, including metalloproteinase-mediated EGF
ligand shedding (Mifune et al., 2005; Ohtsu et al., 2006), Ca2+-mediated Pyk2 activation (Eguchi et
al., 1999), or direct interaction of the EGFR with the activated AT1R, via its tyrosine 319 residue
(Seta and Sadoshima, 2003), though this does not appear to be the mechanism in a rat cardiomyocyte
model (Smith et al., 2011).
To date, most studies have utilised a candidate approach to identify the proteins that are involved in
AT1R-mediated EGFR transactivation in specific cell types. While this has been informative, more
often than not, they fail to give the broader mechanistic picture of the underlying biology. Thus, the
exact molecular mechanism linking the AT1R to the EGFR remains poorly defined and much detail
is lacking. To address this issue, we generated a robust and tractable human cellular model of AT1R-
EGFR transactivation, and used the model to perform functional siRNA screening to unbiasedly
identify novel genes involved in the AT1R-EGFR transactivation process.
Results
Generation and characterisation of a stable cellular model of AT1R-EGFR transactivation
In order to examine the molecular mechanisms underlying AT1R-EGFR transactivation, a human
cellular model was generated by introducing the AT1R into HMEC-LST cells (HMEC-LST-AT1R)
using retroviral delivery of a vector that co-expresses mCherry. The AT1R-expressing cell population
was FACS enriched, and a heterogeneous population of cells displaying mCherry expression (Fig.
1A) were collected and expanded for further analysis. We confirmed expression of the ectopically
expressed AT1R protein bearing an N-terminal HA epitope tag using western blot analysis (Fig. 1B).
Immunofluorescent detection of the AT1R revealed localisation of expression to the cell surface (Fig.
1C and Supplementary Fig. 1). Competition [125I]-AngII radioligand binding assays revealed a Kd for
AngII of 1.7 nM and a calculated receptor density of 1.87 pmol receptor/ mg cellular protein (Fig.
1D). The AT1R expressing cells demonstrated a robust, dose-dependent Ca2+ transient upon AngII
stimulation, with an EC50 value of 24.8 nM, indicating appropriate coupling to Gq/11 (Fig. 1E).
Stimulation of the HMEC-LST-AT1R cells with 100 nM AngII led to the robust and reproducible
phosphorylation of EGFR (pY1068) and ERK1/2 (p42/44; pERK1/2) (Fig. 2A). Quantitation of
western blot data revealed a 2-fold activation of EGFR above unstimulated (Fig. 2B) and a 2.5-fold
activation of ERK1/2 above unstimulated upon AngII treatment (Fig. 2C). Maximal activation of
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EGFR and ERK1/2 occurred between 5-10 minutes (Supplementary Fig. 2), whereas activation of
AKT (Ser473), which can also be activated downstream of EGFR and PI3K was not observed,
revealing the MAP kinase pathway is a prominent pathway activated in response to AngII
stimulation. As is well described, other pathways do exist for ERK1/2 activation from GPCRs
(namely Ca2+, PKC and arrestins), therefore, to confirm that activation of the EGFR and downstream
ERK1/2 by AngII stimulation was due to transactivation of the EGFR by the AT1R, HMEC-LST-
AT1R cells were pretreated for 30 minutes with EGFR (AG1478) or AT1R (candesartan cilexetil)
antagonists prior to stimulation with AngII (Fig. 2D). The results show that phosphorylation of
EGFR and ERK1/2 was abrogated when cells were pretreated with either inhibitor, demonstrating
that activation of EGFR and ERK1/2 is due to the transactivation of the EGFR by ligand (AngII)
activation of the AT1R. These findings were also confirmed when the AT1R was introduced into
another human mammary epithelial cell line, HMEC-HMLE-AT1R (Supplementary Fig. 3).
AT1R-EGFR transactivation is inhibited by siRNAs targeting known transactivation components
We performed proof-of-concept experiments to demonstrate that the AT1R-EGFR transactivation
response can be inhibited when cells were transfected with siRNAs that target genes involved in the
process, specifically the AT1R, its cognate G protein (Gq/11) and the EGFR. We used siGENOME
SMARTpools targeting Agtr1a to knock down expression of the rat AT1R by 80% (Fig. 3A) and this
abrogated both EGFR and ERK1/2 phosphorylation upon AngII stimulation (Fig. 3B). Robust
knockdown of Gq/11 (GNAQ), essential for AT1R-mediated cardiomyocyte hypertrophy (Smith et al.,
2011) and the development of cardiac hypertrophy in mice (Wettschureck et al., 2001) also abolished
EGFR and ERK1/2 phosphorylation following AngII stimulation (Figs. 3C and D). Similarly,
knockdown of EGFR using SMARTpool siRNAs prevented EGFR and ERK1/2 phosphorylation
upon AngII stimulation (Figs. 3E and F) as well as the expected reduction in total EGFR protein.
Together, these experiments validated this system as suitable for detecting novel genes involved
AT1R-EGFR transactivation.
Functional siRNA screening of the human kinome reveals candidates that modulate the AT1R-
EGFR transactivation response
We used functional genomic screening to identify genes that modulate the AT1R-EGFR
transactivation response. Using the HMEC-LST-AT1R cells, we optimised an AT1R-EGFR
transactivation assay in microplate format for use in a siRNA screen. We determined that stimulating
the HMEC-LST-AT1R cells for 10 minutes with 100 nM AngII in 96 well microplates using the
AlphaScreen SureFire phospho-ERK1/2 assay (as a surrogate readout for AT1R-EGFR
transactivation) gave a robust 1.5-fold activation of ERK1/2 above unstimulated cells
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(Supplementary Fig. 4). Furthermore, stimulation of cells with 100 ng/ml EGF for 10 minutes led to
a 2.8-fold increase in ERK1/2 activation above stimulated, while pretreatment of cells with 5 μM
AG1478 30 minutes prior to stimulation blocked AngII and EGF mediated ERK1/2 activation. This
method was adapted to an siRNA screening format (Supplementary Fig. 5, and Supplementary
siRNA Screen Data file).
We performed a primary siRNA screen using the human Dharmacon SMARTpool siRNA kinome
library encompassing 720 kinase genes, outlined in Fig. 4A, as we hypothesised that this gene set
was likely to encode products that modulate the signalling underlying AT1R-EGFR transactivation
and were potentially druggable. Robust Z-score analysis of the data and ranking of each gene from
the primary screen was performed (Supplementary siRNA Screen Data file). As expected, and also
to validate our screening approach, EGFR present in the siRNA library and independent of the
siRNA plate controls, was identified as being one of the top ‘hits’ in the screen.
We selected 50 highly ranking candidates from the primary screen for further target validation, and
performed a secondary siRNA screen using the Dharmacon siGENOME deconvoluted SMARTpool
siRNA library (4 siRNA duplexes per gene, which comprised the original SMARTpool used in the
primary screen). We took an unbiased approach in our candidate gene selection for secondary
screening, selecting candidates with the 20 highest and 20 lowest robust Z-scores. In addition, we
selected a further 10 highly ranked candidates for analysis based on literature that linked them with
AT1R or EGFR signalling, or had demonstrated some association with at least one of the other
highest ranked candidates identified by the primary screen.
For our secondary screen analysis, we could not use robust Z scoring to rank hits. This is because the
method relies on the assumption that the majority of the siRNAs will not have a biological effect
(Birmingham et al., 2009), whereas in the secondary screen, the expectation is that the majority of
the siRNAs identified (in the primary screen) are positive hits. Hence, we calculated the average
pERK1/2 value for the mock and siGFP transfected cells and normalised the pERK1/2 reading of
each deconvoluted siRNA duplex to the average of the mock and siGFP transfected cells (outlined in
the Supplementary siRNA Screen Data file). We classified a duplex as being a ‘hit’ if the fold
change was greater than 1.5 or less than -1.5 (equating to a 50% or more increase or decrease in
AngII-mediated ERK1/2 activation compared to mock/siGFP stimulated cells). The hit score was
identified as the maximum number of hits in one particular direction (either positive or negative; the
maximum hit score was 4, the minimum was 0). The duplexes that did not score within our cut-offs
were deemed to be ‘unchanged’ and thus did not contribute to the ‘hit’ score. From there, we used hit
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scoring to identify high (4/4 and 3/4), medium (2/4) and low (1/4, 0/4) confidence targets for their
role in AT1R-EGFR transactivation (Fig. 4A). The list of genes analysed in the secondary screen and
validation score is located in Table 1.
The 50-gene list was further analysed using STRING 9.0 (http://string-db.org), an online database of
known and predicted physical and functional protein interactions (Szklarczyk et al., 2011) to
generate an AT1R-EGFR transactivation ‘interactome’, color coded to represent the high, medium
and low confidence scores for each candidate in the secondary screen analysis (Fig. 4B).
Interestingly, we identified 36/50 candidates from the secondary screen that were either functionally
or physically connected to at least one other candidate. Validated high and medium confidence
targets (30 in total) were implicated in signalling pathways linked to EGFR/ERBB2, PI3K/AKT,
MAPK and PKC signalling, which was predicted, as these pathways, by candidate analysis in the
literature have previously been implicated in EGFR transactivation.
We subsequently performed validation on a selection of genes from the high and medium hit list to
determine (i) if the SMARTpool siRNA was on target, and (ii) how knockdown of the target gene
affected transactivation of the EGFR (Supplementary Figs. 6A, B). We focused primarily on three
novel genes, TRIO (triple functional domain (PTPRF interacting), a Rho/Rac GEF protein
containing a kinase domain, CHKA (choline kinase alpha) and BMX (BMX non-receptor tyrosine
kinase), as these have not been previously implicated in GPCR-mediated EGFR transactivation.
TRIO, CHKA and BMX modulate AT1R-EGFR transactivation
We used SMARTpool siRNAs to knock down the expression of TRIO, CHKA and BMX (Figs. 5A,
C and E, respectively) and to confirm their contribution to AngII-stimulated activation of EGFR and
ERK1/2 (Figs. 5B, D and F). We observed a reduction in AngII-mediated EGFR and ERK1/2
activation with knockdown of TRIO, CHKA and BMX, and a modest reduction in basal ERK1/2
activity with knockdown of all three candidates. We also confirmed that individual siRNA duplexes
knocked down the target mRNA transcripts and assessed their impact on AT1R-EGFR
transactivation by western blot analysis (Supplementary Figs. 7A-F).
TRIO, CHKA and BMX function between the AT1R and the EGFR
Our data are consistent with TRIO, CHKA and BMX acting downstream of the AT1R, but upstream
of the EGFR. To test this, we reasoned that the phosphorylation of the EGFR and ERK1/2, by direct
stimulation with EGF ligands to bypass the AT1R (see Fig. 6A), should not be affected by the
knockdown of TRIO, CHKA and BMX if they function downstream of the AT1R, but upstream of
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the EGFR. We therefore knocked down TRIO, CHKA and BMX using SMARTpool siRNAs in
HMEC-LST-AT1R cells and stimulated with either 100 nM AngII or 0.5 ng/ml EGF for 10 minutes
(Fig. 6B, C and D and Supplementary Figs. 8A-C). Knockdown of TRIO, CHKA or BMX in
HMEC-LST-AT1R cells did not prevent activation of EGFR and ERK1/2 by direct stimulation with
EGF, indicating that they are likely to sit mechanistically between the AT1R and EGFR in
transactivation. Furthermore, our analysis revealed that pre-treatment of cells with 5 μM AG1478
abrogated AngII-mediated ERK1/2 activation following TRIO, CHKA and BMX knockdown,
implying that the activation of ERK1/2 is primarily EGFR dependent, and that candidate knockdown
combined with AG1478 treatment may also eliminate EGFR independent and dependent signalling,
respectively (Supplementary Figs. 9A-C). Moreover, TRIO, CHKA and BMX knockdown did not
have a dramatic impact on Ca2+ mobilisation upon AngII stimulation (Supplementary Figs. 10A, B)
suggesting that the mechanism of action of these candidates is unlikely due to changes in AngII-
mediated intracellular Ca2+ levels.
Mechanistic insights into the function of TRIO, CHKA and BMX in GPCR-mediated EGFR
transactivation
We further investigated the mechanism(s) by which the three lead candidates identified in our siRNA
screen act to modulate AT1R-EGFR transactivation. TRIO contains two guanine nucleotide
exchange factor domains that can activate RhoA and Rac1. We took a genetic approach to determine
whether RAC1 or RHOA, downstream of TRIO, modulated the AT1R-EGFR transactivation
response. We achieved > 90% knockdown of RAC1 and RHOA mRNA transcripts at 24 hours using
SMARTpool siRNAs (Fig. 7A). Furthermore, we observed a reproducible robust reduction in EGFR
and ERK1/2 activation with RAC1 knockdown (Fig. 7B), though RAC1 knockdown also had a
modest effect on total EGFR expression. RHOA knockdown lead to a reduction in EGFR activation,
but only minimal reduction in AngII-mediated ERK1/2 activation (Fig. 7C). To further elucidate
whether RAC1 is involved in AT1R-EGFR transactivation, we pretreated the HMEC-LST-AT1R
cells for 30 minutes with 100 μM NSC-23766 compound (Fig. 7D), which lead to a reduction in
AngII-mediated EGFR and ERK1/2 activation. We also examined the requirement of CHKA activity
for AngII-mediated EGFR transactivation. Pretreatment of cells with 10 μM CK37, an inhibitor of
CHKA activity, for 30 minutes prior to AngII stimulation, also led to a reduction in EGFR and
ERK1/2 activation, with no observable effect on total CHKA (ChoK) protein expression (Fig. 7E).
We next tested the parental HMEC-LST cell line with a selection of GPCR ligands (endothelin-1,
thrombin and 17-β-oestradiol) to determine whether or not we could achieve GPCR-mediated EGFR
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transactivation with endogenous GPCRs, as a prelude to determining whether our identified
screening candidates generically modulate GPCR-EGFR transactivation (Supplementary Fig. 11A).
Only thrombin was able to elicit a transactivation response. We next took advantage of our
observation that thrombin also promoted robust ERK1/2 signalling via EGFR transactivation in the
parental HMEC-LST cell line to determine whether TRIO, CHKA and BMX knockdown modulates
GPCR-EGFR transactivation (Fig. 7F). HMEC-LST cells stimulated with 10 nM of thrombin for 10
minutes robustly activated the EGFR and ERK1/2, which was blocked when the cells were
pretreated for 30 minutes with 5 μM AG1478. We next tested whether the knockdown of TRIO,
CHKA or BMX affected thrombin-mediated EGFR transactivation (Fig. 7G and Supplementary Fig.
11B). While thrombin–mediated EGFR and ERK1/2 phosphorylation was reduced with CHKA
knockdown, it remained unchanged when TRIO and BMX were silenced, indicating that CHKA may
be required for the transactivation of EGFR by GPCR receptors other than AT1R, whereas TRIO and
BMX are more selective and may be specific to AT1R-mediated EGFR transactivation. This data
provides evidence that both common and distinct mechanisms control GPCR-EGFR transactivation.
Discussion
The development of siRNA platform technologies to permit genome-wide, loss-of-function
screening has provided an unprecedented resource for delineating molecular and cellular processes,
including, for example, cell migration (Simpson et al., 2008), necrotic cell death (Hitomi et al.,
2008), and cell division (Kittler et al., 2007). In the present study, we used RNAi-based screening to
unbiasedly identify kinase genes involved in AngII-mediated activation of ERK1/2, specifically
those related to AT1R-EGFR transactivation. We developed and characterised a human cellular
model of AT1R-EGFR transactivation, then performed a primary kinome screen, comprising
SMARTpool siRNAs targeting 720 kinase genes, and a subsequent secondary validation screen of 50
of the highest-ranking candidates using deconvoluted siRNAs. We identified multiple candidates that
modulate the AT1R-EGFR transactivation response; these included molecules clearly related to the
EGFR/PKC/PI3K/MAPK signalling axis, as well as novel genes, such as TRIO, BMX and CHKA,
that appear to act mechanistically between the AT1R and the EGFR. CHKA is likely to be a general
mediator of GPCR-induced EGFR transactivation, whereas TRIO and BMX might act more
specifically in this process.
The capacity of EGFRs (and other growth factor receptors) to act as important conduits for multiple
GPCR-related stimuli that modulate cell growth and tissue remodelling is generally accepted. Many
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studies, including our own, have linked the activation of the AT1R to the phosphorylation and
transactivation of the EGFR in cardiac, renal and vascular tissues (Eguchi et al., 2001; Eguchi et al.,
1998; Thomas et al., 2002; Touyz et al., 2002; Uchiyama-Tanaka et al., 2001). In support of the
“triple membrane passing signalling paradigm” proposed by Ullrich and colleagues (Daub et al.,
1996), some evidence exists for matrix metalloprotease (MMP) and A Disintegrin and
Metalloprotease (ADAM) shedding of EGF ligands as a mechanism for AT1R mediated EGFR
transactivation and tissue remodelling. In the kidney, ADAM17 shedding of TGFα has been
associated with renal disease (Shah and Catt, 2006); in heart, ADAM12 shedding of heparin-binding
EGF like growth factor (HB-EGF) reportedly mediates cardiac hypertrophy (Asakura et al., 2002);
and ADAM17 inhibition reduces AngII-mediated EGFR phosphorylation and the proliferation of
vascular smooth muscle cells (Ohtsu et al., 2006). In contrast, others have suggested alternative
mechanisms for EGFR transactivation, such as via intracellular kinases, including Pyk2 and Src, or
subsequent to direct interaction between the AT1R and the EGFR (Eguchi et al., 1999; Seta and
Sadoshima, 2003; Touyz et al., 2002). So, while many would accept the authenticity and importance
of EGFR transactivation by GPCRs, such as the AT1R, the mechanisms remain poorly understood. It
was this lack of clarity that compelled us to undertake and unbiased approach to identify novel
components involved in transactivation EGFR by AT1R.
To permit a functional siRNA screen, we developed a cellular model of AT1R-EGFR transactivation
which met our selection criteria: 1) the cells were of human origin and readily expandable to
generate large cell numbers required for screening; 2) they could be efficiently transfected with
siRNAs; and 3) they robustly transactivated the EGFR upon stimulation with AngII. Primary cell
models of cardiomyocytes, vascular and renal cells used in previous studies to examine AT1R-EGFR
transactivation were not amenable to siRNA screening. Therefore, we initially tested 14 human
vascular, endothelial and epithelial cell lines for their ability to transactivate the EGFR with either
ectopically or endogenously expressed AT1R, under the above criteria. While several of these cell
lines demonstrated AT1R-mediated EGFR transactivation, we ultimately selected an immortalised
human mammary epithelial cell line, stably expressing the AT1R (HMEC-LST-AT1R). This cell line
displayed high affinity and functional AT1R expression on the cell surface and exhibited appropriate
AT1R pharmacology and Gq/11-mediated signalling. Importantly, these cells robustly activated the
EGFR and ERK1/2 in response to AngII stimulation and showed efficient siRNA knockdown of
known targets, making it suitable for our screen. Additionally, these cells were selected for their
functional relevance, where AT1R overexpression has been implicated in breast cancer pathogenesis
(De Paepe et al., 2001; Rhodes et al., 2009; Tahmasebi et al., 2006). Furthermore, AT1R-EGFR
transactivation could be modulated by siRNA knockdown of either the AT1R or EGFR as well as by
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targeting Gq/11, an absolute requirement for AT1R-EGFR transactivation in other cell types, including
cultured cardiomyocytes (Smith et al., 2011) and vascular smooth muscle cells (VSMC) (Mifune et
al., 2005; Ohtsu et al., 2008).
Using our cellular model, we adapted, optimised and developed an AT1R-EGFR transactivation
assay in microplate format using the AlphaScreen SureFire phospho-ERK1/2 kit as our readout. We
screened using the Dharmacon SMARTpool siRNA kinome library, as we reasoned that kinases
were likely to be important for AT1R-EGFR transactivation and any hits would be likely to be
druggable in subsequent studies on function. We ranked the candidates from the primary kinome
screen on the basis of robust Z-score, and pursued 50 highly-ranked candidates for a secondary
screen, where we classified ‘hits’ as those with more than a 1.5-fold change (in either direction)
compared to the mock and siGFP transfected cells. The result was a list of high, medium and low
confidence candidates, a number of which we pursued using a candidate-type approach to further
validate their role in AT1R-EGFR transactivation.
One of the major outcomes of our screen was the finding that many of the candidates related to the
EFGR/ErbB2/PKC/PI3K/MAPK signalling axis. While in a way expected, this observation provided
important confidence/validation that the screen was sufficiently powered to interrogate AT1R-EGFR
transactivation. The finding that ErbB2 (the common dimerising partner for ErbB receptors)
modulates the AT1R-EGFR transactivation response in our mammary epithelial cell model is
consistent with previous studies suggesting that ErbB2 is required for AngII-mediated EGFR
transactivation (Chan et al., 2006; Negro et al., 2006). It also corroborates data from other GPCRs,
for example, the thrombin-dependent PAR1 activation in MDA-MB-231 breast cancer cells that
transactivates EGFR/ErbB2 and increases cell invasiveness (Arora et al., 2008). In addition to
ErbB2, we also identified and validated a number of PKC isoforms (PKC-δ and PKC-ι) as
modulators of AT1R-EGFR transactivation, consistent with previous reports of AT1R-EGFR
transactivation and PKC-δ translocation in response to AngII in primary breast cancer cells (Greco et
al., 2003), the PKC-δ/Pyk2/Src-dependent AT1R-EGFR transactivation observed in hepatic C9 cells
(Shah and Catt, 2002) and thromboxane A2 receptor-induced EGFR transactivation, involving Gq/11
mediated PKC-δ and PKC-ε activation (Uchiyama et al., 2009). Moreover, it has not escaped our
attention that a number of hits from our screen are proteins that contain pleckstrin homology (PH)
domains (including AKT1, AKT3, TRIO, BMX and DGKH), which, along with PI3K and the PKC
isoforms, suggests that phosphoinositide biosynthesis, localisation, compartmentalisation and/or
signalling are critical factors for AT1R-EGFR transactivation. Interestingly, kinases previously
associated with both AT1R and GPCR-mediated EGFR transactivation, including Pyk2 and Src
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(Andreev et al., 2001; Eguchi et al., 1999; Shah and Catt, 2002) were not strong hits identified by our
screen, which could suggest, at least in our breast epithelial cell model, that other signalling
candidates may play a more prominent role in AT1R-EGFR transactivation.
When considering potential hits, our primary interest was in candidates that had not been previously
(or at least ostensibly) associated with ErbB function. We were also seeking hits where a
demonstrable effect on EGFR/ERK activation was direct and not secondary to global effects on cell
viability or “non-specific” alterations in total EGFR abundance, both of which might result in
apparent reduction in AngII-induced ERK1/2. With this in mind, we assayed a number of the
high/medium confidence siRNA screening hits (14 in total) to quantify mRNA knockdown by qRT-
PCR and assess their performance in AT1R-EGFR transactivation. For most of these candidates, we
confirmed siRNA-mediated knockdown and observed a reduced ERK1/2 activation following AngII
stimulation. However, we noted for some candidates, a large, presumably non-specific effect on total
EGFR expression (e.g. CDC2L2), or alternatively, little apparent effect on the phosphorylation of the
EGFR (e.g DYRK1A, STYK1), indicating the effect on ERK signalling was probably independent
of EGFR transactivation. We dismissed such candidates in favour of others with clear and robust
effects on AngII-induced EGFR/ERK1/2 activation, without obvious changes in total ERK/EGFR
protein expression. We focused on three leading, proof-of-principle candidates that have not
previously been implicated in GPCR-EGFR transactivation, Trio (triple function domain (PTPRF
interacting), Chka (choline kinase alpha), and Bmx (bone marrow kinase X-linked, a member of the
Tec non-receptor tyrosine kinase family). Knockdown of these candidates selectively and strongly
abrogated AngII-mediated, but not EGF-mediated activation of the EGFR, locating their site of
action between the AT1R and the initiation of EGFR activation.
Trio (also known as UNC-73) is a particularly interesting target with respect to potential
AT1R/Gq/11/EGFR activity. The human full-length cDNA encodes a 2861 amino acid protein,
containing a serine/threonine kinase domain and two functional guanine nucleotide exchange factors
(GEF) domains, one specific for GDP/GTP exchange on RhoA and the other for Rac1 (Debant et al.,
1996). Rho/Rac activity has not, to our knowledge, been directly related to activation of the EGFR,
but their capacity to engage downstream kinases (e.g., ROCK) and affect cell growth and function is
well described. While few publications link Trio activity to AngII stimulation, AngII does
productively engage other RhoA GEFs, such as Arhgef1, with important roles in vascular tone and
hypertension (Guilluy et al., 2010). Importantly, the Trio homologue, UNC-73, was revealed in a
forward genetic screen in C. elegans as a major mediator of Gq signalling, growth, reproduction and
locomotion in worms (Williams et al., 2007). Mechanistically, Gq/11 has been identified to activate
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the C-terminal Rho-specific DH-PH domain of Trio, and of the closely related protein, p63RhoGEF
(Rojas et al., 2007). Moreover, the crystal structure for activated Gq/11 and p63RhoGEF has been
solved, demonstrating that direct binding of activated Gq/11 to p63RhoGEF could specifically induce
Rho signalling independent of and in competition to PLCβ activation (Lutz et al., 2005).
Intriguingly, a recent publication that utilised a genome-wide RNAi screen in Drosophila cells to
identify regulators of AP-1 transcription factor complex activation (downstream of Gq) found that
Trio activation is a requirement for mitogenic signalling mediated by Gq, and is part of a ‘hard-
wired’ protein-protein-interaction based signalling circuitry’ that is required for sustained cellular
growth signalling and a regulator of normal and aberrant cellular growth (Vaque et al., 2013).
Together with our data, these studies provide robust evidence that Trio mediates GPCR activation of
downstream transcriptional events, in part by EGFR transactivation.
Interestingly, in our HMEC-LST-AT1R cell line, RAC1 knockdown and the NSC-23766 compound
(downstream of Trio) were both able to blunt the AT1R-EGFR transactivation response. An inhibitor
of Rac1 binding and activation by the Rac1-specific GEF domain of Trio (and Tiam1), NSC-23766
is suggested to have no demonstrable effect on RhoA or Cdc42 (Gao et al., 2004). This data suggest
that the AngII via AT1R/Gq/11 can enhance Trio Rac-GEF activity that contributes to activation of
signalling pathways and/or cytoskeletal remodelling that is permissive for AT1R-EGFR
transactivation.
Bmx is a member of the Tec family of non-receptor tyrosine kinases (Tamagnone et al., 1994) and
contains Tec homology (TH), PH, SH2, SH3 and kinase domains. Bmx is expressed in a variety of
human cell types, including bone marrow, haematopoieic and endothelial cells (Tamagnone et al.,
1994), and in the endocardium and large arteries of the mouse (Ekman et al., 1997). Bmx expression
is altered in a number of different cancers, including those of the bladder and prostate (Dai et al.,
2006; Guo et al., 2011; Jiang et al., 2007). Tec family kinases have been directly implicated in
GPCR signalling, where Gq and/or βγ subunits of the heterotrimeric G protein complex can bind to
and activate the kinase (Bence et al., 1997; Langhans-Rajasekaran et al., 1995; Tsukada et al., 1994).
Bmx, through its PH domain, binds to the thrombin activated GPCR, PAR1, and this is a
requirement for association with Shc and oncogenic activity (Cohen et al., 2010). Together, this
evidence suggests that Tec family kinases can modulate GPCR function by acting as signalling
scaffolds that allow recruitment of other binding partners and effector proteins, or as second
messengers that modulate downstream signalling activities. Indeed, with respect to our observation
that AT1R-EGFR transactivation leads to hypertrophic growth in rat cardiomyocytes (Thomas et al.,
2002), it is interesting to note that Bmx knockout mice display reduced cardiac hypertrophy in a
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model of transverse aortic constriction, proposing that Bmx is required for the morphological
responses to pressure overload in the heart (Mitchell-Jordan et al., 2008). Combined with our finding
that BMX knockdown prevents AT1R-EGFR transactivation, this evidence suggests a novel and
plausible signalling mechanism underpinning AT1R-EGFR cardiomyocyte hypertrophy, which
warrants further investigation.
Choline kinase alpha (Chka, ChoK) phosphorylates choline to produce phosphocholine (PCho), an
important intermediate in the generation of the key membrane phospholipid, phosphatidylcholine
(Aoyama et al., 2004). Homozygous knockout of Chka in mice results in embryonic lethality at the
blastocyst stage (Wu et al., 2008), whereas upregulation of Chka activity, or increased abundance of
choline/PCho is commonly observed in cancer (Glunde et al., 2008; Hernando et al., 2009; Miyake
and Parsons, 2012). Chka is required for growth factor induced cellular proliferation in primary
human mammary epithelial cells (Ramirez de Molina et al., 2004), while inhibition of Chka in HeLa
cells reduces the steady-state levels of phosphatidylcholine and phosphatidic acid, affecting both
PI3K and MAPK signalling (Yalcin et al., 2010). Recent evidence suggests that in breast cancer and
immortalised mammary epithelial cells, EGFR and c-Src can synergise to regulate Chka protein
expression and activity (Miyake and Parsons, 2012). Furthermore, this group demonstrated that
EGFR and Chka form a complex in the presence of c-Src, which is required for maximal EGF-
dependent cellular growth. Attempts to determine whether Chka binds to either the HA-tagged AT1R
or the EGFR upon AngII stimulation using co-immunoprecipitation were inconclusive (data not
shown).
We demonstrate that inhibition of Chka with CK37, a competitive inhibitor of Chka activity also
blunts the AT1R-EGFR transactivation response. This is particularly interesting, as CK37 has been
shown to inhibit MAPK and PI3K/AKT signalling, along with disrupting actin cytoskeleton
organisation and reducing membrane ruffling in transformed cells (Clem et al., 2011). While no
published reports link AngII/AT1R to Chka, its role in lipid biosynthesis and its binding to the EGFR
and regulation of Src-mediated growth signalling are provocative, especially considering that its
knockdown also impeded thrombin-mediated EGFR transactivation, indicating that it affects GPCR-
EGFR transactivation more generally than just the AT1R. Furthermore, it may suggest that
spatiotemporal changes within a cell upon stimulation with GPCR ligands play an essential role in
GPCR mediated EGFR transactivation, though this will require further investigation.
In conclusion, the present study screened 720 kinase genes to identify critical signalling molecules
controlling AT1R-EGFR transactivation that were potentially “druggable”, which would facilitate
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subsequent studies to test their importance in pathophysiological states associated with dysregulated
AT1R signalling. Using this approach, we have uncovered a suite of new and interesting signalling
targets involved in AT1R-EGFR transactivation and have also confirmed that the
EFGR/ErbB2/PKC/PI3K/MAPK signalling axis is important in AT1R-EGFR transactivation. In
particular, this work provides the platform for investigating the molecular basis for Trio, Bmx and
Chka action in AT1R-EGFR transactivation and provides proof of principle that genome-wide
approaches will provide powerful new insights into this process and permit the assembly of the
AT1R-EGFR transactivation ‘interactome’, which is increasingly appreciated as an important
mediator of cell and tissue function.
Materials and Methods
Cell lines and culturing
Human mammary epithelial cells immortalised with human telomerase (hTERT) and transformed
with SV40 Large T and small t antigens (HMEC-LST, HMEC-HMLE) were a gift from Professor
Robert Weinberg (Whitehead Institute for Biomedical Research, Massachusetts Institute of
Technology). HEK293T cells were obtained from Open Biosystems (Thermo Fisher Scientific,
Scoresby, Australia). Unless otherwise specified, media and tissue culture consumables were
obtained from Gibco BRL (Life Technologies, Mulgrave, Australia). HMEC-LST and HMEC-
HMLE cells were maintained in HuMEC ready medium containing HuMEC growth supplements
and bovine pituitary extract (#12752-010). For serum starvation experiments, cells were washed with
Dulbecco’s phosphate buffered saline (PBS, pH 7.4) and serum starved with HuMEC basal medium
(#12753-018). Unless otherwise indicated, HuMEC media (ready or basal) was supplemented with
50 μg/ml gentamicin. HEK293T cells were grown in DMEM with 20 mM HEPES, 10% FBS and
antibiotic-antimycotic. HMEC-LST, HMEC-HMLE and HEK293T cell lines were maintained in
vented flasks (Becton Dickinson, North Ryde, Australia) in a humidified incubator at 37oC with 5%
CO2. Unless otherwise stated, incubation steps for cell culture assays were performed at 37oC with
5% CO2. Cell number was determined using a Z2 Cell and Particle Counter (Beckman Coulter, Lane
Cove, Australia). Specific details for passaging the HMEC cell lines are located in the
Supplementary siRNA Screen Data file.
Retroviral construct generation
The cloning of pRc2A/NHA-AT1A, a vector encoding the N-terminally HA-epitope tagged rat
angiotensin type Ia receptor cDNA has been described previously (Thomas et al., 1998). The
pRc2A/NHA-AT1A plasmid was digested with HindIII and the NHA-AT1A cDNA was subcloned
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into the HindIII site of the pBluescript KS- plasmid (Stratagene, Agilent Technologies, Mulgrave,
Australia). The pBluescript KS-NHA-AT1A plasmid was digested with BamHI and XhoI to liberate
the HindIII-flanked NHA-AT1A cDNA, which was inserted into the MSCV-IRES-mCherry vector (a
gift from Dr. Sarah Russell, Peter MacCallum Cancer Centre, Melbourne, Australia) to generate the
MSCV-IRES-NHA-AT1A (AT1R) plasmid.
Generation of stable cell lines
HEK293T cells were co-transfected with MSCV-IRES-mCherry (mCherry, vector control) or
receptor containing MSCV-IRES-NHA-AT1A (AT1R) plasmids in the presence of an amphotrophic
packaging vector (Dr. Phillip Darcy, Peter MacCallum Cancer Centre, Melbourne, Australia) at a 2:1
ratio. Viral supernatant was filtered through a 0.45 μm Minisart filter (Sartorius Stedim, Dandenong
South, Australia) and Sequabrene (Sigma-Aldrich, Castle Hill, Australia) was added at a final
concentration of 4 μg/ml before addition to target cells. Cells were exposed to fresh viral supernatant
three times over 24 hours, grown to ~80% confluency and passaged twice prior to fluorescence-
activated cell sorting (FACS) using the FACS Vantage SE Diva (BD Biosciences).
Antibodies, ligands and inhibitors
Angiotensin II (human) (#2078) and Endothelin-1 (#2110) was purchased from Auspep
(Tullamarine, Australia), and Human EGF (#100-15) was purchased from Peprotech (Rocky Hill,
NJ, USA). Thrombin (human plasma, high activity, #605195), CK37 (#229103) and AG1478
(#658552) were obtained from Calbiochem (Merck Millipore, Kilsyth, Australia). NSC-23766
(#2161) was obtained from Tocris Bioscience (Abacus ALS, East Brisbane, Australia). Total EGFR
(sc-03), Total ERK 1 (sc-93), ChoK (sc-376489) and RhoA (sc-418) antibodies were obtained from
Santa Cruz Biotechnology (Dallas, TX, USA). Rac1 antibody (05-389) was purchased from Merck
Millipore. Phospho-p44/42 MAPK (ERK1/2) (#9106), Total EGFR (#4267), Phospho-AKT (Ser473)
(#4058) and Total AKT (#9272) antibodies were purchased from Cell Signalling Technologies
(Danvers, MA, USA). Phospho-EGFR (pY1068) (#44-788G) and anti-HA (high affinity,
#1867423001) were purchased from Life Technologies and Roche (Castle Hill, Australia)
respectively. 17-β-oestradiol (#E8875) and anti-α-Tubulin (#T5168) were obtained from Sigma
Aldrich. Goat anti-rabbit IgG (H+L) HRP conjugate (#170-6515) and anti-mouse (#170-6516) were
purchased from Bio-Rad (Gladesville, Australia), and polyclonal rabbit anti-rat
immunoglobulin/HRP (P0450) was purchased from DAKO (Campbellfield, Australia). Alexa 488
goat anti-rat antibody (#A-11006) was obtained from Molecular Probes (Life Technologies).
Candesartan cilexetil was a gift from Astra Zeneca (North Ryde, Australia).
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GPCR-EGFR transactivation assays
HMEC-LST cells were seeded into cell culture or microplates and incubated for 24 hours at 37oC
with 5% CO2, then serum starved in HuMEC basal media for 24-48 hours prior to stimulation. For
experiments involving inhibitors, cells were pre-treated for 30 minutes at 37oC with either AG1478
(5 μM), candesartan cilexetil (1 μM), CK37 (10 μM) or NSC-23766 (100 μM). Cells were
stimulated with 100 nM AngII (or 10 nM thrombin) for specified timepoints at 37oC prior to
harvesting. The AlphaScreen SureFire phospho-ERK 1/2 assay (TGR Biosciences #TGRES10K,
Thebarton, Australia; Perkin Elmer #658552, Glen Waverley, Australia), a high-throughput
microplate-based ERK1/2 activation assay described in the literature (Osmond et al., 2005) was
performed as per the standard protocol, details of which can be found in the MIARE (Minimum
Information About an RNAi Experiment) located in the Supplementary siRNA Screen Data file.
siRNA screening and siRNA transfections
A detailed methodology for siRNA screening is outlined in the MIARE, and primary and secondary
siRNA screen data is located in the Supplementary siRNA Screen Data file, and is also publically
available on PubChem (http://pubchem.ncbi.nlm.nih.gov). siGENOME SMARTpool siRNAs to rat
Agtr1a (M-093349-00), human GNAQ (M-008562-00), EGFR (M-003114-03), BMX (M-003106-
04), CHKA, (M-006704-01), TRIO (M-005047-00), RAC1 (M-003560-06), RHOA (M-003860-03)
and the GFP duplex (D-001300-01) were obtained from Dharmacon RNAi Technologies
(ThermoFisher Scientific) and resuspended in 1x Dharmacon siRNA buffer prior to use. For siRNA
validation (quantifying mRNA knockdown and determining the effect of knockdown on
transactivation), conditions outlined from the siRNA screen were scaled up to a 12-well plate format
to harvest protein and/or RNA. Briefly, 40 nM of Dharmacon SMARTpool siRNA or 25 nM of
Dharmacon SMARTpool deconvoluted siRNA (individual duplex) were complexed for 20 minutes
at ambient temperature in a 200 μl volume of HuMEC basal media with a final concentration of 1 μl
per well of DharmaFECT 1 transfection lipid (ThermoFisher Scientific). HMEC-LST-AT1R cells
(~100,000) in antibiotic-free HuMEC complete media (800 μl volume) were seeded into each well
along with the complexed siRNA and incubated for 24 hours. For RNA experiments, RNA was
extracted from cells at a 24-hour knockdown (see RNA extraction and cDNA synthesis section for
details). For protein analysis, after a 24-hour knockdown, wells were washed once with Dulbecco’s
PBS (pH 7.4) serum starved for 48 hours in HuMEC basal media (total 72 hour knockdown) prior to
stimulation with AngII for 10 minutes at 37oC, and protein harvested.
Protein extraction, SDS-PAGE and western blot analysis
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Cells were washed twice with ice cold PBS and harvested in ice cold RIPA buffer (50 mM Tris HCl
pH 7.5, 100 mM NaCl, 2 mM EDTA, 50 mM sodium fluoride, 0.1% (w/v) SDS, 0.5% (w/v) sodium
deoxycholate, 1% (v/v) Triton X-100, 10 mM sodium pyrophosphate, 10 mM sodium orthovanadate)
containing Complete EDTA-free protease inhibitor cocktail (Roche). Cells were gently lysed for 1
hour at 4oC and centrifuged at 15,000 x g for 15 minutes at 4oC. Protein concentration was
determined using the DC protein assay kit (Bio-Rad) in microplates as per manufacturers’
instructions. For the resolution of all proteins (apart from the AT1R), protein samples were mixed
with Laemmli sample buffer (Laemmli, 1970) containing 8% β-mercaptoethanol and heated at 95oC
for 5 minutes. To resolve the AT1R, freshly prepared lysate was mixed at a 1:1 ratio with 62.5 mM
Tris-HCl (pH 6.8), 2% (w/v) SDS, 6 M urea, 10% β-mercaptoethanol and 20% glycerol and heated
to 60oC for 15 minutes. Samples were electrophoresed on Tris-Glycine SDS-PAGE gels, and protein
transferred to PVDF membrane (Immobilon-P, Merck Millipore). Membranes were blocked with 5%
skim milk (Diploma, Fonterra Foodservices, Mount Waverley, Australia) or 1% BSA (Sigma-
Aldrich) in Tris buffered saline (TBS) pH 7.6 containing 0.05% (v/v) Tween 20 (TBST). Antibodies
were prepared in either 5% skim milk or 1% BSA in TBST. Membranes were washed with TBST
and treated with the relevant secondary antibody in 5% skim milk/TBST. Membranes were
developed using Western Lightning ECL Plus (Perkin Elmer) to Hyperfilm (GE Healthcare,
Rydalmere, Australia).
Immunofluorescence to detect AT1R expression
HMEC-LST cells (150,000) in HuMEC complete media were seeded into chamber slides (Nunc
Lab-Tek II, 4 chamber, BD Biosciences) and incubated for 24 hours. Chambers were washed with
PBS, fixed with 4% PFA, blocked in 1% BSA and treated with 40 ng/ml of anti-HA high-affinity
antibody in 1% BSA. Chambers were washed with PBS containing 0.05% Tween 20 (PBST). Alexa
488 goat anti-rat antibody (Molecular Probes) in 1% BSA was added to each well (protected from
light). Nuclei and cell membranes were counterstained with DAPI (Sigma-Aldrich) and Cell Mask-
Alexa Fluor 647 (Life Technologies), respectively. Slides were mounted in Vectashield (Vector
Labs, Burlingame, CA, USA) then coverslipped and sealed prior to use. Confocal images (Z stacks at
2 μm intervals) were obtained with the Nikon C2 confocal microscope using the NIS elements
AR.3.2 program (Nikon Instruments, Melville, NY, USA) at a 40X objective. Z stack images were
imported into NIH ImageJ (version 1.44o, available online at http://imagej.nih.gov/ij) (Abramoff et
al., 2004). Maximum intensity of each stack for each channel (3 channels in total) was obtained,
images were smoothed and despeckled and a scale bar added. RGB channel merge was used to
merge the respective channels. Individual images and a three channel merged image can be observed
in Supplementary Fig. 1.
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Radioligand competition binding assay
For competition radioligand binding assays, 500,000 HMEC-LST-AT1R or mCherry cells were
seeded into 24 well plates, and allowed to adhere for 24 hours. Culture media was replaced with
unlabelled AngII and 330,000 cpm of [125I]-AngII (Prosearch International, Malvern, Australia)
diluted in OptiMEM (Life Technologies) supplemented with 1% BSA was added and incubated at
ambient temperature for 1 hour. Wells were washed with PBS and cells solubilised with 500 μl 0.1
M NaOH. Radioactivity was counted using a 2470 Wizard 2 Automatic Gamma Counter (Perkin
Elmer). Data for the displacement of bound radiolabelled [125I]-AngII by unlabelled AngII was
collected. Concentrations of unlabelled AngII were assayed in triplicate wells and averaged over 4
independent experiments. Relative protein concentration in each well was determined using the DC
protein assay kit (Bio-Rad) as per manufacturers’ instructions, and relative number of binding sites
per amount of protein (pmol receptor/ mg cellular protein) calculated.
Calcium mobilisation assay
Cells were seeded at a density of 100,000 cells/well into 96-well plates pre-coated with poly-l-lysine,
and incubated for approximately 5 hours. Cells were washed with PBS and serum starved overnight.
The following day, cells were loaded with 2.9 μg/ml of Fluo-4AM (0.3 μg/well) in assay buffer
(HBSS, 20 mM HEPES, 2.5 mM probenecid, pH 7.4) for 45 minutes at 37oC, protected from light.
Wells were washed once with assay buffer and de-esterified for 30 minutes at ambient temperature,
protected from light. Prior to stimulation with AngII, background fluorescence of cells was imaged
for 10 seconds on the FLIPR Tetra (Molecular Devices, Sunnyvale, CA, USA). AngII (diluted in the
assay buffer at various concentrations) was added using the FLIPR Tetra where fluorescence was
measured for a total of 250 seconds/well. Data was analysed using the FLIPR Tetra Software
(Screenworks 3.1.0.3, Molecular Devices) to calculate Max-Min (10-250 seconds), then data plotted
into GraphPad Prism 5.0d (Graphpad Software, La Jolla, CA, USA) to fit curves using non-linear
regression. Concentrations of AngII were assayed in triplicate wells in each independent experiment.
To perform calcium mobilisation with siRNA knockdown, the protocol was performed as described
above with the following modifications: HMEC-LST-AT1R cells (50,000 cells/well) were reverse
transfected with 40 nM Dharmacon SMARTpool siRNA and 0.1 μl DharmaFECT 1 (per well;
duplicate plates for each condition) and incubated for 24 hours. At 24 hours, RNA was extracted
from 8 wells of one plate and pooled to assess target knockdown (described below). Th second plate
was serum starved for 48 hours (72 hour knockdown) prior to Fluo-4AM loading and proceeding
with the assay as described. Data is displayed as the percentage change in fluorescence (ΔF) over
baseline fluorescence (F0).
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RNA extraction and cDNA synthesis
Cell monolayers were washed with ice-cold PBS, and RNA extracted using the Bioline Isolate RNA
mini kit (Bioline, Alexandria, Australia) as per manufacturers’ instructions. RNA was eluted from
columns with 40 μl of RNase-free H2O and the concentration determined using the Nanodrop ND-
1000 spectrophotometer (Thermo Scientific). RNA was stored at -80oC until use. For cDNA
synthesis, up to 400 ng of RNA was treated with 1U of RQ1 RNase-free DNase (Promega,
Alexandria, Australia) for 30 minutes at 37oC, then reverse transcribed for 1 hour at 50oC using the
Superscript III kit (Invitrogen, Life Technologies) with random primers (Promega). cDNA was
stored at -20oC prior to use.
Primers and real-time quantitative PCR
Primers for real-time quantitative PCR were designed over exon-exon junctions (where possible)
using NCBI Primer Blast (Primer3) (http://www.ncbi.nlm.nih.gov/tools/primer-blast) (Rozen and
Skaletsky, 2000) with predicted amplicon sizes ranging from 110-160bp. Sequences are located in
Supplementary Table 1. Primers were obtained from Geneworks (Hindmarsh, Australia),
resuspended in sterile H2O and stored at -20oC prior to use. For real-time PCR analysis, Fast SYBR
Green Master Mix (Applied Biosystems, Life Technologies), cDNA template and 300 nM of forward
and reverse primers in a final reaction volume of 20 μl was assayed. Samples were run on the
Applied Biosystems StepOne Real-Time PCR System for 40 cycles using the default machine
settings with a melt curve ramp of 0.7oC. Data was analysed using the 7000 SDS 1.1 RQ Software
(Applied Biosystems) where relative quantification of gene expression was performed and gene
expression was normalised to GAPD expression.
STRING analysis
STRING 9.0 (http://string-db.org), a publically available online database of functional protein
interactions (Szklarczyk et al., 2011) was used to generate an AT1R-EGFR transactivation
‘interactome’. The secondary siRNA screen gene list was submitted to the database using the ‘high
confidence interactions’ option. Data was redrawn in Adobe Illustrator CS5 (Adobe Systems, San
Jose, CA, USA) to incorporate the confidence level of each target identified from the siRNA screen.
Thicker connecting lines (linking the nodes) represent increasing confidence of interactions.
Densitometry analysis
Densitometry analysis of western blot data (scanned to TIFF format) was performed using NIH
ImageJ 1.44o software (Abramoff et al., 2004). The density of phospho-EGFR (pY1068) or
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phospho-ERK1/2 bands were normalised to tubulin band density for each sample. Data was imported
into Microsoft Excel (Microsoft, Redmond, WA, USA), and graphed in GraphPad Prism 5.0d.
Statistical analyses
The statistical analyses performed for the siRNA screen are outlined in the Supplementary siRNA
Screen Data file. Data was analysed using paired two-tailed Student t-tests within the GraphPad
Prism 5.0d program. Unless otherwise described, data presented graphically is the mean ± standard
error of the mean (SEM), with statistical significance set at p < 0.05.
Acknowledgements
Our thanks to Mr Ralph Rossi and Ms Viki Milovak (FACS), Dr Jillian Danne (confocal
microscopy), Ms Alison Boast, Ms Analia Lesmana and Ms Anna-Kristen Szubert (technical
assistance), Associate Professor Phillip Darcy and Dr Sarah Russell (plasmid constructs) and Dr
Katherine Hannan (proofreading manuscript) (all from Peter MacCallum Cancer Centre, Melbourne,
Australia). Thanks to Professor Robert Weinberg (Whitehead Institute for Biomedical Research,
Massachusetts Institute of Technology, USA) for providing HMEC cell lines. The Victorian Centre
for Functional Genomics is funded by the Australian Cancer Research Foundation (ACRF), the
Victorian Department of Industry, Innovation and Regional Development (DIIRD), the Australian
Phenomics Network supported by funding from the Australian Government’s Education Investment
Fund through the Super Science Initiative, the Australasian Genomics Technologies Association
(AMATA) and the Brockoff Foundation. Conflict(s) of interest: none declared. This work was
supported by project grants from the Australian National Health and Medical Research Council
(NHMRC) [#472640, #1024726] awarded to W.G.T and R.D.H. R.D.H also holds an NHMRC
research fellowship.
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Figure Legends
Figure 1: Generation and characterisation of the AT1R-EGFR transactivation model. We
stably introduced an N-terminally HA-tagged angiotensin type I receptor (AT1R) into a human
mammary epithelial cell line (HMEC-LST) (Elenbaas et al., 2001), and used mCherry expression to
FACS enrich a heterogeneous population of cells expressing similar amounts of AT1R (A). HA-
tagged AT1R expression in HMEC-LST cells was determined by western blot analysis of cell lysate
(B). The ectopically expressed AT1R was expressed on the cell surface of the AT1R cells, but not the
mCherry cells as determined by immunofluorescence when stained with a α-HA antibody (green) to
detect the HA-tagged AT1R and DAPI (blue) to detect nuclei (C) (scale bars represent 50 μm;
individual confocal images and merged images located in Supplementary Fig. 1). Cells expressing
the AT1R (�) readily bound [125I]-AngII (EC50=1.7 nM) in a radioligand-binding assay; [125I]-AngII
was not observed to bind to the mCherry cells (�) (n=4 experiments) (D). When the HMEC-LST-
AT1R expressing cells (�) were stimulated with AngII, we observed intracellular Ca2+ mobilisation
to occur (EC50= 24.8 nM), which was not observed in the mCherry cell line (�) (n=5 experiments)
(E).
Figure 2: AT1R-EGFR transactivation occurs in HMEC-LST-AT1R cells. HMEC-LST cells
(mCherry or AT1R transduced) were serum starved then stimulated with 100 nM AngII for 5-10
minutes. Robust activation of the EGFR (pY1068) and ERK1/2 was observed in the AT1R
transduced cells (A). Quantitation of western blot data using densitometry analysis (ImageJ)
illustrated increases in phospho-EGFR (pY1068) (~2 fold) (B) and phospho-ERK1/2 (~2.5 fold) (C)
upon stimulation with AngII (n=4 experiments, paired two-tailed Student t test, * p=0.0137, **
p=0.0028). HMEC-LST-AT1R cells were treated with 5 μM AG1478 (EGFR inhibitor) or 1 μM
candesartan cilexetil (AT1R antagonist) for 30 minutes prior to stimulation with 100 nM AngII for 5-
10 minutes (D). Analysis revealed that inhibition of either EGFR or AT1R activity blocks AngII-
mediated AT1R-EGFR transactivation (n=3 experiments, data presented is a representative western
blot from the analysis).
Figure 3: AT1R-EGFR transactivation is reduced when cells are transfected with siRNAs
targeting AT1R, Gq/11 and EGFR expression. Cells were transfected with Dharmacon siGENOME
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SMARTpool siRNAs targeting the ectopically expressed AT1R (siAgtr1a), Gq/11 (GNAQ, siGNAQ)
or EGFR (siEGFR) mRNA transcripts. Cells transfected with siAgtr1a demonstrated mRNA
knockdown of ~80% at 24 hours (A), and the AT1R-EGFR transactivation at 72 hour knockdown
was abolished (B) (n=3 experiments, paired two-tailed Student t test, *** p=0.0009). Cells
transfected with siGNAQ resulted in over an 85% knockdown of GNAQ mRNA at 24 hours (C), and
a reduction in EGFR and ERK1/2 phosphorylation post AngII stimulation (72 hour knockdown) (D)
(n=3 experiments, paired two-tailed Student t test, *** p=0.0002). Similarly, when cells were
transfected with siEGFR, ~75% knockdown of EGFR mRNA was observed at 24 hours post-
transfection (E) and the AT1R-EGFR transactivation response was blunted at 72 hours (F) (n=3
experiments, paired two-tailed Student t test, *** p=0.0004). Western blot data presented is
representative of all of the experiments carried out (n=3).
Figure 4: Kinome siRNA screen to determine genes involved in AT1R-EGFR transactivation.
Using the HMEC-LST-AT1R cell line, we performed a primary siRNA screen using the Dharmacon
siGENOME SMARTpool siRNA library targeting kinase genes (720 in total, 40 nM siRNA) (A).
Phospho-ERK1/2 data (SureFire) was normalised to cellular confluency (IncuCyte) for each well,
and robust Z-score analysis carried out (individual gene data and descriptions located in the
Supplementary siRNA Screen Data file). Secondary siRNA screening analysis was performed on 50
high-ranking candidates identified from the primary screen using the Dharmacon siGENOME
SMARTpool deconvoluted siRNA library (4 individual duplexes comprising the SMARTpool; 25
nM siRNA). High (4/4 and 3/4), medium (2/4) and low (1/4, 0/4) confidence candidates were then
identified. STRING analysis was performed on the AT1R-EGFR transactivation secondary screen
gene set to identify physical and functional associations of the genes within the list (B). Genes that
remained as unconnected “nodes” included FN3KRP, ASK, BMX, CDC2L2, DGKH, FRK, PSKH2,
SNRK, STYK1 and TRIO.
Figure 5: Further validation of TRIO, CHKA and BMX involvement in AT1R-EGFR
transactivation. HMEC-LST-AT1R cells were reverse transfected with 40 nM Dharmacon
siGENOME SMARTpool siRNAs targeting TRIO, CHKA or BMX expression. HMEC-LST-AT1R
cells transfected with TRIO siRNA (siTRIO) demonstrated an approximate 45% knockdown of
mRNA transcript at 24 hours by qRT-PCR (A) and at 72 hours post-transfection, knockdown of
TRIO reduced AT1R-EGFR transactivation upon stimulation with AngII (B). When cells were
transfected with CHKA siRNA (siCHKA), an approximate 90% knockdown of CHKA transcript
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was observed at 24 hours (C), coupled with a reduction in ChoK (Chka) protein expression and
AT1R-EGFR transactivation at 72 hours (D). Similarly, cells transfected with BMX siRNA (siBMX)
demonstrate an approximate 90% knockdown of mRNA transcript at 24 hours (E), and a reduction in
AT1R-EGFR transactivation (as determined by phospho-EGFR and phospho-ERK1/2 abundance)
was observed after 72-hour siRNA knockdown (F). (n=3-4 experiments for both mRNA and protein
analysis, for mRNA analysis, paired two-tailed Student t test * p=0.0144 (TRIO), *** p=0.0002
(CHKA) and p=0.0008 (BMX). Western blots are representative of all experiments.
Figure 6: The mechanism of action for TRIO, CHKA and BMX lies between the AT1R and
EGFR. Our hypothesis is that TRIO, CHKA and BMX lie between the activated AT1R and EGFR
and thus modulate the AT1R-EGFR transactivation response. A proposed model for this theory is
illustrated in (A). HMEC-LST-AT1R cells were transfected with siGFP, siTRIO, siCHKA or siBMX
SMARTpool siRNAs for 72 hours and stimulated with either AngII (100 nM) or EGF ligand (0.5
ng/ml) for 10 minutes. Knockdown of TRIO (B), BMX (C) or CHKA (D) did not alter the response
of the cells to 0.5ng/ml EGF ligand. Data presented is representative of n=3 independent
experiments.
Figure 7: Elucidating the function of TRIO, CHKA and BMX in GPCR-mediated EGFR
transactivation. RHOA and RAC1, downstream of TRIO, were knocked down in HMEC-LST-
AT1R cells to assess their role in AT1R-EGFR transactivation. Greater than 90% knockdown of the
RAC1 and RHOA mRNA transcripts were observed at 24 hours (A). At 72 hours post-transfection,
knockdown of RAC1 reduced EGFR and ERK1/2 activity upon AngII stimulation, and led to a small
reduction in total EGFR protein expression (B), while RHOA knockdown affected EGFR but not
ERK1/2 activity (C). Pre-treatment of cells with NSC-23766 (D) or CK37 (E) revealed a blunting in
AT1R-EGFR transactivation upon AngII stimulation. To identify whether TRIO, CHKA and BMX
were specific to AT1R-EGFR transactivation, we stimulated the parental HMEC-LST cell line (not
containing the ectopically expressed AT1R) with 10 nM of thrombin for 10 minutes in the presence
or absence of 5 μM AG1478 and evaluated EGFR and ERK1/2 phosphorylation (F). Knockdown of
BMX and TRIO, but not CHKA in the HMEC-LST cells revealed little change in EGFR and
ERK1/2 activation post thrombin stimulation (G) (ERK1/2 activation data for three independent
experiments where CHKA is knocked down is located in Supplementary Fig. 11C). N=3-4
experiments for both mRNA and protein analysis; for mRNA analysis, paired two-tailed Student t
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test ** p=0.0014 (RHOA), *** p=0.0009 (RAC1). Western blots are representative of all
experiments performed.
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Tables
Table 1: Genes assayed in the secondary siRNA screen and duplex scores
Entrez ID Gene name Duplex Hits
Hig
h c
on
fid
ence
1119 CHKA 4/4 2064 ERBB2 4/4
79672 FN3KRP 4/4 207 AKT1 3/4
10926 ASK 3/4
660 BMX 3/4
801 CALM1 3/4
728642 CDC2L2 3/4
1859 DYRK1A 3/4
1956 EGFR 3/4
2242 FES 3/4
2322 FLT3 3/4
5584 PRKCI 3/4
Med
ium
co
nfi
den
ce
10000 AKT3 2/4 64768 C9ORF12 2/4
1020 CDK5 2/4
1460 CSNK2B 2/4
160851 DGKH 2/4
2261 FGFR3 2/4
2444 FRK 2/4
5594 MAPK1 2/4
5290 PIK3CA 2/4
5297 PIK4CA 2/4
200576 PIP5K3 2/4
5562 PRKAA1 2/4
5580 PRKCD 2/4
85481 PSKH2 2/4
54861 SNRK 2/4
55359 STYK1 2/4
7204 TRIO 2/4
Lo
w c
on
fid
ence
657 BMPR1A 1/4 8851 CDK5R1 1/4
80347 COASY 1/4
1399 CRKL 1/4
53944 CSNK1G1 1/4
1739 DLG1 1/4
2049 EPHB3 1/4
10114 HIPK3 1/4
51347 JIK 1/4
92335 LYK5 1/4
1326 MAP3K8 1/4
9833 MELK 1/4
55750 MULK 1/4
8395 PIP5K1B 1/4
1263 PLK3 1/4
5583 PRKCH 1/4
5592 PRKG1 1/4
8986 RPS6KA4 1/4
8576 STK16 1/4
6011 GRK1 0/4
Jour
nal o
f Cel
l Sci
ence
Acc
epte
d m
anus
crip
t