1
1 Downstream Targets of the Homeobox Gene DLX3 are Differentially Expressed
2 in the Placentae of Pregnancies Affected by Human Idiopathic Fetal Growth
3 Restriction
4
5 Running title: Downstream Targets of DLX3
6
7 Amy Chui1,2, Bill Kalionis1,2, Mohamed Abumaree3, Melanie Cocquebert4,5,6, Thierry
8 Fournier4,5,6, Daniele Evain-Brion4,5,6, Shaun P Brennecke1,2 and Padma Murthi1,2
9 1,2Department of Perinatal Medicine Pregnancy Research Centre and University of
10 Melbourne Department of Obstetrics and Gynaecology, Royal Women’s Hospital,
11 Parkville, Victoria, Australia, 3052. 3College of Medicine, King Saud Bin Abdulaziz
12 University for Health Sciences, King Abdullah International Medical Research
13 Center, King Abdulaziz Medical City, National Guard Health Affairs, P.O. Box 22490,
14 Riyadh 11426, Mail Code 1515. 4INSERM, U767, Faculté des Sciences
15 Pharmaceutiques et Biologiques, Paris F-75006, France. 5Universite Paris
16 Descartes, Paris F75006, France. 6PremUp Foundation, Paris, F-75006, France.
17
18 Corresponding author:
19 Dr. Padma Murthi
20 Department of Obstetrics and Gynaecology
21 University of Melbourne, Royal Women's Hospital
22 Parkville, Victoria 3052. Australia.
23 Tel: 61-03-8345 3747; Fax: 61-03-8345 3746
24 Email: [email protected]
25
26 2
27 Abstract
28 Human idiopathic fetal growth restriction (FGR) is associated with placental
29 insufficiency. Previously, we reported that the expression of homeobox gene Distal-
30 less 3 (DLX3) is increased in idiopathic FGR placentae and is a regulator of villous
31 trophoblast differentiation. Here, we identify the downstream targets of DLX3 in
32 trophoblast-derived cell lines. We modelled the high levels of DLX3 in FGR using an
33 over-expression plasmid construct and complemented this using short-interference
34 RNA (siRNA) for inactivation in cultured cells. Using a real-time PCR-based gene
35 profiling, candidate target genes of DLX3 over-expression and inactivation were
36 identified as regulators of trophoblast differentiation; GATA2 and PPARγ. The
37 expression of GATA2 and PPARγ were further assessed in placental tissues and
38 showed increased mRNA and protein levels in FGR-affected tissues compared with
39 gestation-matched controls. We conclude that DLX3 orchestrates the expression of
40 multiple regulators of trophoblast differentiation and that expression of these
41 regulatory genes is abnormal in FGR.
42
43 Key words: Homeobox genes, human placenta, trophoblast, fetal growth. 3
44 Introduction
45 Fetal growth restriction (FGR), also known as intrauterine growth restriction (IUGR),
46 is a failure of the fetus to reach its full growth potential compared to that expected for
47 its gestation age. FGR is commonly defined as a birth weight less than the 10th
48 percentile for gestation, together with evidence of fetal health compromise such as
49 oligohydromnios and asymmetric fetal growth involving an increased head to
50 abdominal circumference ratio, as well as evidence of placental pathology (Brodsky
51 and Christou, 2004; Kingdom et al., 2000; Lee et al., 2003). Evidence of such
52 underlying pathology allows clinicians to discriminate between FGR and healthy
53 small for gestation age (SGA) babies that are otherwise normal. FGR is associated
54 with an increased risk of perinatal complications such as prematurity (Gardosi,
55 1998), stillbirth (Cnattingius and Taube, 1998; Froen et al., 2004; Gardosi et al.,
56 1998), neonatal morbidity (McIntire et al., 1999) and mortality (McIntire et al., 1999).
57 While about 30% of FGR cases can be accounted for by obvious maternal, fetal and
58 placental causes, the remaining 70% are classified as idiopathic.
59
60 The characteristics of placental dysfunction in idiopathic FGR include a decreased
61 supply of oxygen to the fetus as well as reduced transfer of nutrients and growth factors
62 to the fetus (Gagnon, 2003; Ghidini, 1996; Godfrey and Barker, 2000). The long-term
63 consequences of FGR can extend well into adulthood (Godfrey and Barker, 2000)
64 and are associated with an increased risk of chronic health disorders such as
65 cardiovascular disease and diabetes (Godfrey and Barker, 2001), asthma
66 (Steffensen et al., 2000), psychiatric disorders such as schizophrenia (Rosso et al.,
67 2000), depression (Gale and Martyn, 2004), decreased intelligence quotient and
68 intellectual developmental delay (Frisk et al., 2002). 4
69 Histopathology studies show that idiopathic FGR-affected placentae are typically smaller
70 than gestation-matched controls suggesting that aberrant placental development may
71 be an important contributing factor to FGR (Battistelli et al., 2004; Chen et al., 2002;
72 Salafia et al., 2006). Epidemiological studies have proposed a possible role for
73 genetic and familial factors in human idiopathic FGR (Devriendt, 2000; Ghezzi et al.,
74 2003). Gene expression during normal placental development must be regulated at the
75 transcriptional level to ensure the correct spatial and temporal formation of tissues as
76 well as the production of essential hormones.
77
78 Transcriptional regulation of placental development is well documented in mouse
79 knockout studies where targeted disruption of specific transcription factors has
80 demonstrated FGR-like effects including impaired vascular and trophoblast
81 development and placental insufficiency (Cross, 2003; Hemberger and Cross, 2001;
82 Rossant and Cross, 2001; Sapin et al., 2001). Our previous work demonstrated that
83 the expression of the homeobox gene Distal-less 3 (DLX3) is localised to the
84 syncytiotrophoblast of both first trimester and term placentae (Chui et al., 2010). We
85 also showed that DLX3 is a regulator of villous cytotrophoblast differentiation (Chui
86 et al., 2011a), and that the expression of DLX3 is significantly increased in human
87 idiopathic FGR (Chui et al., 2011b), suggesting DLX3 may regulate important
88 differentiation pathways during placental development. In Dlx3 knockout mice, the
89 embryo dies at E9.5 due to placental and vascular defects (Morasso et al., 1999).
90 Two downstream interrelated gene networks are strongly implicated by the loss of
91 Dlx3 in the mouse knockout model: the cell to cell signalling gene network such as,
92 PGF, EGFR, protein kinase C, and MMP9, and the haemoglobin gene network (Han
93 et al., 2007). The discovery of these target genes of Dlx3 is consistent with a role for 5
94 Dlx3 in supporting an emerging placenta labyrinth (Han et al., 2007; Morasso et al.,
95 1999; Roberson et al., 2001). However, investigations into the downstream target
96 genes of DLX3 in the human placenta have not been carried out.
97
98 In recent years, many downstream targets have been identified for various
99 homeobox genes. For example, in the central nervous system, cell adhesion
100 molecules and signalling molecules have been identified as candidate target genes
101 of the HOX family of homeobox genes (Foronda et al., 2008). As a result, this
102 information was used to determine a role for these targets in processes such as cell
103 migration and differentiation (Akin and Nazarali, 2005). Since target genes seem to
104 have important regulatory roles in basic cellular functions such as differentiation, the
105 identification of downstream targets of DLX3 in trophoblast cells may reveal the
106 pathways responsible for important placental cell functions that are abnormal in
107 idiopathic FGR.
108
109 We hypothesised therefore that downstream target genes of DLX3 would be involved
110 in villous cytotrophoblast differentiation and that they would be significantly altered in
111 human idiopathic FGR pregnancies compared with uncomplicated control
112 pregnancies. Since homeobox genes regulate and control the expression and
113 function of many different downstream transcription factors, in this study we
114 employed a commercially available human Transcription Factor PCR array. This type
115 of pathway-based array was chosen in preference to a whole genome microarray
116 since the panel of transcriptions factors was chosen for their known importance in
117 regulating developmental pathways. We have previously used the same strategy and
118 identified cell-cycle control genes as target genes of homeobox gene HLX in 6
119 trophoblasts (Rajaraman et al., 2010). A further advantage is that the measurement
120 of mRNA levels is carried out by real-time polymerase chain reaction (PCR)
121 technology. We used the well-characterised trophoblast-derived BeWo cell line to
122 model villous trophoblast differentiation into syncytiotrophoblast in vitro. DLX3 mRNA
123 levels were increased with a DLX3 cDNA plasmid over-expression construct or
124 decreased in BeWo cells using two independent DLX3-specific siRNA
125 oligonucleotides. PCR array-determined mRNA levels were compared between
126 plasmid/siRNA treated cells and control cells. Target genes identified as a result of
127 DLX3 plasmid over-expression or siRNA inactivation were prioritised based on the
128 fold change in expression in mRNA levels determined by real-time PCR, whether
129 mRNA levels changed in a complementary fashion when DLX3 was siRNA-
130 inactivated or over-expressed, and whether the target gene had a role in cellular
131 differentiation with published evidence identified from the literature. Prioritised DLX3
132 target gene expression levels were then assessed by real-time PCR using
133 independent validated probes or by Western immunoblotting in both the treated
134 BeWo cells and in idiopathic FGR-affected placentae compared to controls.
135
136 Materials and Methods:
137 Patient details and tissue sampling
138 Placentae from pregnancies complicated by idiopathic FGR (total of n=25) and
139 gestation-matched controls (total of n=25) were collected with informed patient
140 consent and approval from the Human Research and Ethics Committees of the
141 Royal Women’s Hospital, Melbourne. Table 1 summarises the clinical features of the
142 FGR-affected pregnancies and controls employed in this study (Murthi et al., 2006b;
143 Murthi et al., 2006c; Rajaraman et al., 2010). The inclusion criteria for FGR cases 7
144 are listed in Table 2. They have the basic inclusion criterion of a birth weight less
145 than the 10th centile for gestational age using Australian growth charts (Guaran et
146 al., 1994). To exclude small for gestation age (SGA) cases, which are otherwise
147 normal, the classification for idiopathic FGR cases required at least two of the
148 following additional criteria; abnormal umbilical artery Doppler flow velocimetry,
149 oligohydramnios as determined by amniotic fluid index (AFI) <7, or asymmetric
150 growth of the fetus as quantified from the HC (head circumference) to AC (abdominal
151 circumference) ratio (>1.2). Control patients were gestation-matched to FGR cases.
152 Pre-term control patients who presented in spontaneous idiopathic pre-term labour or
153 underwent elective delivery for conditions not associated with placental dysfunction
154 (for example, one patient included in this study delivered pre-term electively by
155 cesarean section for maternal breast cancer) were included to match for pre-term
156 FGR. The exclusion criteria for both control and FGR-affected cases were: multiple
157 pregnancies, chemical dependency, maternal smoking, pre-eclampsia, prolonged
158 rupture of the membranes, placental abruption, intrauterine viral infection, and fetal
159 congenital anomalies. Placental tissue samples were excised by dissection,
160 thoroughly washed in 0.9% phosphate buffered saline (PBS) to minimise blood
161 contamination, snap frozen and stored at –80º C.
162
163 Isolation of primary trophoblast cells
164 Informed patient consent for sampling was obtained from all donors of first trimester
165 pregnancy placental tissues and of term placentae, in accordance with the local
166 research and ethics committee of the Broussais Hospital (Paris, France). First-
167 trimester pregnancy placental tissues (n=8) were obtained at 8-12 weeks of
168 gestation following therapeutic terminations of pregnancy. Normal term placentae 8
169 (n=8) were obtained from elective caesarean sections. First trimester villous
170 cytotrophoblasts (VCT) and term villous cytotrophoblasts (TVCT) were isolated and
171 characterised (data not shown) using cytokeratin 7 (CK7) and CD9 as described
172 previously (Handschuh et al., 2007; Tarrade et al., 2001a). Mononuclear VCT were
173 maintained in culture over 72h in DMEM and differentiated in vitro into
174 syncytiotrophoblast. Both first trimester and term VCT culture media were
175 supplemented with 10% FCS and 100U/ml penicillin and 100μg/ml streptomycin.
176
177 Cell lines
178 The choriocarcinoma-derived BeWo cell line was a kind gift from Dr. Stephen
179 Rogerson (Department of Medicine, University of Melbourne). BeWo cells were
180 grown in RPMI-1640, supplemented with 10% FCS, 200U/ml penicillin and 200μg/ml
181 streptomycin.
182
183 Over-expression of DLX3 by plasmid transfection
184 A human cDNA pCMV6-XL4 vector clone of the homeobox gene DLX3 (catalogue
185 number: SC116854) was purchased together with TurboFectin 8.0 Transfection
186 Reagent (both from Origene Technologies, USA) and used to over-express DLX3 in
187 confluent cultures of BeWo cells. Experiments were carried out following the
188 manufacturer’s instructions. Briefly, BeWo cells were seeded at a density of 2 x 105
189 cells/well in 6-well plates and maintained in culture with DLX3 cDNA plasmid (1μg/μl)
190 in TurboFectin 8.0 transfection reagent (cDNA plasmid:TurboFection 8.0, 1:3) for
191 48h. A vector or no cDNA insert is used as a control. Validation of successful over-
192 expression at both the mRNA and protein level was performed as described
193 previously (Chui et al., 2011a). 9
194 Down-regulation of DLX3 expression by siRNA
195 Two independent DLX3 siRNA oligonucleotides were designed and obtained as “4-
196 For-Silencing siRNA Duplexes”™ (Qiagen, Australia). The siRNA sequences used
197 were as follows: Hs_DLX3_3_HP siRNA (Catalogue number: SI00073962) and
198 Hs_DLX3_4_HP siRNA (Catalogue number: SI00073969). The DLX3 siRNAs
199 showed no significant DNA sequence similarity to other genes in GenBank cDNA
200 databases (data not shown). Validation of siRNA inactivation at both the mRNA and
201 protein level was performed as previously described (Chui et al., 2011b).
202
203 BeWo cells were grown in supplemented media (2 × 105 cells/well in 6-well plates
204 and 5 × 104 cells/well in 24-well plates) and transfected with individual DLX3 siRNAs
205 using RNAiFect transfection reagent (Qiagen, Australia). Negative control (NC)
206 siRNAs consisted of a pool of enzyme-generated siRNA oligonucleotides of 15–19
207 base pairs in length that were not specific for any known human gene (AllStars Neg.
208 siRNA AF 488, Qiagen, Australia) and showed no sequence similarity to DLX3.
209
210 RNA extraction and cDNA preparation
211 RNA was extracted from placentae obtained from FGR-affected and gestation-
212 matched control pregnancies; and from cultured BeWo cells using Qiagen RNeasy
213 Midi-kits and the Qiagen RNeasy Micro-kits (Qiagen, Australia) respectively, as
214 described previously (Murthi et al., 2006a; Murthi et al., 2006c). Spectrophotometric
215 analysis and gel electrophoresis was used to determine the yield, purity and integrity
216 of the RNA. RNA was reverse-transcribed using Superscript III ribonuclease H-
217 reverse transcriptase (Invitrogen, Australia) and cDNA was prepared in a two-step
218 reaction using 2μg of RNA as described previously. 10
219 cDNA synthesis for PCR Array
220 The RT2 First Strand kit was used to perform first strand synthesis of cDNA for RT2 –
221 profiler PCR array, according to the manufacturer’s instructions. Briefly, a mastermix
222 containing 10μl of RT cocktail mix (containing RT buffer, primer, external control mix
223 and RT enzyme mix) and 10μl of genomic DNA elimination mixture (containing 1μg
224 RNA, genomic DNA elimination buffer and RNase-free water) was heated at 42°C for
225 15 minutes. RNA degradation and reverse transcriptase inactivation was performed
226 by heating samples at 95°C for 5 minutes in a GeneAmp® PCR system 9700.
227
228 PCR Array
229 The “Transcription Factors” RT2 profiler PCR array (SABiosciences, Australia) for
230 gene profiling was used to identify the downstream target genes of DLX3 and the
231 methodology was carried out according to the manufacturer’s instructions. Briefly,
232 cDNA prepared with the RT2 First Strand kit was added to a mastermix which
233 contains the fluorescent SYBR green/ROX dye. Equal amounts of this mastermix
234 were distributed evenly to a 96-well pre-prepared plate that contained 84 gene-
235 specific primer sets and each plate contained a panel of five housekeeping gene
236 primers for normalisation. These housekeeping genes consisted of β-2-microglobulin
237 (B2M), Hypoxanthine phosphoribosyltansferase 1 (HPRT1), Ribosomal protein L13a
238 (RPL13A), Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and β-actin
239 (ACTB). Additional controls such as the no added reverse transcriptase (no reverse
240 transcriptase enzyme) and the no added template (no cDNA) were included in each
241 plate. The PCR reaction was performed on an ABI Prism 7500 Sequence Detector
242 under these cycling parameters: 95°C for 10 minutes, followed by 40 cycles of
243 denaturation at 95°C for 15 minutes and primer extension at 60°C for 1 minute. Data 11
244 (Ct values) were analysed using the ABI Sequence Detector System software version
245 2.0 and the relative gene expression values, or fold changes, were calculated
246 according to the manufacturer’s protocols. Briefly, to calculate the fold changes,
247 values from the control (Vector or NC siRNA) and treated plates (DLX3-plasmid
248 construct treated or DLX3-siRNA treated) were calculated as 2-ΔΔCT, normalised to
249 the average Ct value of the five housekeeping genes. Fold changes >1 were
250 considered fold increases, and for fold changes < 1, the negative inverse of the result
251 was reported as fold decreases.
252
253 Candidate target genes identified as a result of DLX3 plasmid over expression or
254 DLX3 siRNA inactivation, were prioritised based on the fold change in expression in
255 mRNA levels determined by real-time PCR (> 10 fold increase or decrease). Priority
256 was given when a potential role for the target gene in cellular differentiation could be
257 identified from the literature.
258
259 Real-Time PCR
260 Validation of candidate DLX3 target gene mRNA expression in cell lines and tissues
261 was performed in an ABI Prism 7500 (Perkin-Elmer-Applied Biosystems, Australia)
262 as described previously (Murthi et al., 2006a; Murthi et al., 2006c). Real-time PCR
263 was performed using inventoried assays that consisted of a mix of PCR primers and
264 a TaqMan FAM labeled MGB probe (GATA2 Hs00231119_m1 and PPARγ
265 Hs01115512_m1, Applied Biosystems, Australia). Gene expression quantification for
266 the housekeeping genes GAPDH or 18S rRNA (Applied Biosystems, Australia) was
267 performed in the same well. Levels of gene expression relative to GAPDH or 18S
268 rRNA was calculated according to the 2--ΔΔCT method (Livak and Schmittgen, 2001). 12
269 Western Immunoblotting
270 Immunoblotting was performed using 25μg total protein per well which was
271 electrophoresed under non-reducing conditions by 10% PAGE/0.1% SDS in running
272 buffer (250mM Tris, 1.92mM Glycine, 0.1% SDS) for approximately 1 hour at 150V.
273 The resulting gel was electrically transferred to a nitrocellulose membrane at 75 volts
274 for 1 hour in cold transfer buffer (225mM Tris-HCL, 192mM glycine and 20%
275 methanol). The membrane was blocked with 5% skim milk/TBS for 1 hour at room
276 temperature, and washed in 1 x TBS (0.14M NaCl, 2.7 mM KCL, 0.025M Tris-HCL
277 pH 7.4). The membranes were incubated with GATA2 (0.5µg/ml) and PPARγ
278 (0.5µg/ml) (all from Santa Cruz Biotechonology, INC., USA) antibodies overnight at
279 4°C. The following day, the membrane was incubated in species specific secondary
280 antibody conjugated to peroxidise (HRP) at a concentration of 1.5µg/ml in 2% skim
281 milk/ TBS for 1 hour at room temperature. Immunoreactive protein was detected
282 using the ECL-Western Chemiluminescence Detection kit (GE Healthcare, Australia)
283 according to the manufacturer’s instructions. The resulting immunoreactive protein
284 was normalised to GAPDH. The specificity of the antibodies was determined by
285 omission of the primary antibody.
286
287 Data analysis
288 All data presented in this study are expressed as mean ± SEM, unless otherwise
289 stated. The Student’s t-test was used to determine the significance of any
290 differences between groups. A probability value of p<0.05 was considered
291 significant.
292
293 13
294 Results
295 Identification of DLX3 downstream target genes
296 Cultured BeWo cells were transfected with a plasmid over-expression construct for
297 DLX3 mRNA and protein over-expression (Chui et al., 2011a). The human
298 “Transcription Factors” PCR array was used to identify potential downstream target
299 genes of DLX3. The relative mRNA expression of the 84 genes after DLX3 mRNA
300 and protein over-expression is shown in Fig 1. The Y-axis represents the fold change
301 for each of the 84 genes normalised to the average expression of the five
302 housekeeping genes included in the array (B2M, HX, R13, GAPDH and β-actin).
303
304 In addition, to eliminate possible off-target effects of plasmid over-expression, BeWo
305 wells independently treated with either an NC control, siRNA1 or siRNA2
306 oligonucleotides (Chui et al., 2011b). The fold change for each of the 84 genes after
307 DLX3 mRNA and protein inactivation, normalised to the five housekeeping genes, is
308 shown in Fig 2. For both figures, genes that had an expression level above the one-
309 fold red line, was classified as a fold increase. Conversely, genes that had an
310 expression level below the one-fold red line was classified as a fold decrease in
311 gene expression. Additionally, for ease of graphical presentation, the fold differences
312 of the genes were divided by 10 or 100 depending on their values.
313
314 Several criteria were used for prioritising the 84 genes. The first and most important
315 criterion for prioritisation was published evidence for a role in cellular differentiation
316 from the literature. The second criterion was that mRNA levels had to be either
317 increased or decreased with plasmid over-expression or siRNA inactivation by at
318 least 10 fold. In Fig 3, the relative up- or down-regulation values of the candidate 14
319 genes were obtained using a calculation template on the manufacturer’s website and
320 calculated by: 1/-fold difference obtained from the PCR array (SABiosciences,
321 Australia). Fig 3a shows the prioritised candidate downstream target genes of DLX3
322 plasmid over-expression treated PCR array and revealed that the gene GATA2
323 (GATA binding protein 2) showed a positive fold change of approximately 45 and
324 PPARγ (Peroxisome Proliferator-Activated Receptors γ) with a negative fold change
325 of approximately 500. The siRNA-treated PCR array (Fig 3b) showed GATA2 with no
326 fold change, whereas PPARγ showed a positive fold change of approximately 170.
327 We prioritised the genes GATA2 and PPARγ because these genes are shown to be
328 important and involved in many cellular processes including differentiation in during
329 placental development (Ma et al., 1997; Tarrade et al., 2001b).
330
331 Validation of DLX3 candidate genes in cultured BeWo
332 The prioritised candidate genes from the PCR array were validated independently in
333 cultured BeWo cells treated with either plasmid over-expression construct or DLX3
334 siRNA1/siRNA2, and the appropriate NC or vector controls, as shown in Fig 4. Fig
335 4a shows the validation results in BeWo cells transfected with a vector control or a
336 plasmid construct for over-expression of DLX3. The independent validation showed
337 consistent results with the PCR array where the relative mRNA level of GATA2 (n=3,
338 p<0.005) was significantly increased compared with the vector controls. Conversely,
339 the relative mRNA level of PPARγ (n=3, p<0.005) was decreased compared with the
340 vector control. Fig 4b shows the validation results when DLX3 mRNA was
341 inactivated in BeWo cells by transfection with NC control, siRNA1 or siRNA2. The
342 relative mRNA level of GATA2 (n=3, p<0.05) was significantly decreased when
343 compared with the NC control. Conversely, the relative mRNA level of PPARγ (n=3, 15
344 p<0.05) was significantly increased compared with the NC control. The validation
345 showed consistent results with the PCR array.
346
347 Relative mRNA levels of DLX3 target genes in primary villous cytotrophoblast
348 cells
349 Primary villous cytotrophoblast cells from first trimester and term were isolated and
350 cultured for 72 hours. After 72 hours, the villous cytotrophoblast cells have
351 differentiated and fused to become the syncytiotrophoblast. RNA was extracted and
352 cDNA was subsequently prepared. Real-time PCR was used to determine the basal
353 mRNA expression level for GATA2 and PPARγ relative to the housekeeping gene
354 18S rRNA. Fig 5 shows the presence of mRNA expression for GATA2 (panel a), and
355 PPARγ (panel b) in all primary villous cytotrophoblast cells isolated from first
356 trimester and term placentae.
357
358 Relative mRNA expression of DLX3 target genes in idiopathic FGR-affected
359 placentae
360 The relative mRNA levels of DLX3 candidate target genes were determined in FGR-
361 affected placentae compared with gestation matched controls. Fig 6a shows that in
362 idiopathic FGR, the mRNA level of GATA2 (n=25, p<0.005) was significantly
363 increased compared with control. The relative mRNA level of PPARγ was also
364 significantly increased when compared with controls (n=25, p<0.005). However,
365 mRNA expression for both GATA2 and PPARγ was not different according to labour
366 status and mode of delivery (data not shown).
367 16
368 Protein level of GATA2 AND PPARγ in human idiopathic FGR-affected
369 placentae
370 GATA2 and PPARγ were further assessed at the protein level by western
371 immunoblotting. Fig 6b shows a representative immunoblot result for GATA2 (upper
372 panel) and PPARγ (middle panel). The expected size of 50kDa for GATA2 and
373 65kDa for PPARγ were observed. The housekeeping protein GAPDH (lower panel)
374 shows a constant protein load between all samples. Panel c shows the densitometric
375 protein expression of the genes in idiopathic FGR-affected placentae compared with
376 controls, relative to the housekeeping protein GAPDH. The protein expression of
377 GATA2 was significantly increased by approximately 20% in idiopathic FGR-affected
378 placentae compared with controls (n=6, p<0.05). Similarly the relative protein
379 expression of PPARγ (n=6, p<0.05) was also significantly increased in idiopathic
380 FGR-affected placentae compared with the controls. These results followed similar
381 trends to the observed mRNA levels.
382
383 Discussion
384 Transcription factors that are involved in cellular regulatory functions in many
385 systems also play important roles in placental development (Hemberger and Cross,
386 2001). This study shows for the first time that altering the expression of DLX3 results
387 in significant changes in the mRNA and protein expression of important downstream
388 target transcription factors required for trophoblast development.
389
390 FGR is a clinically significant pregnancy disorder, which compromises fetal health in
391 the short and long term. Idiopathic FGR is frequently associated with utero-placental
392 insufficiency. The molecular mechanism of idiopathic FGR is poorly understood. Our 17
393 previous studies have shown that the expression of DLX3 was increased in
394 idiopathic FGR-affected human placentae compared with gestation-matched controls
395 (Chui et al., 2011b) and that over-expression or inactivation of DLX3 resulted in
396 increased or decreased BeWo cell differentiation, respectively (Chui et al., 2011a;
397 Chui et al., 2011b). The results from this study show that over-expression of DLX3
398 resulted in a positive fold change for GATA2, whereas PPARγ showed a negative
399 fold change for both mRNA and protein expression. Conversely, inactivation of DLX3
400 by siRNA resulted in a negative fold change for GATA2 and a positive fold change
401 for PPARγ. These candidate target genes were then further validated by both
402 plasmid over-expression and siRNA inactivation in the BeWo cell line by
403 independent real-time PCR probes and showed consistent increase or decrease in
404 mRNA expression compared with the PCR array. In order to determine the
405 expression of the candidate genes in idiopathic FGR placental tissue, we showed
406 that the mRNA expression of all the target genes were present in cultured primary
407 villous trophoblasts. Then we validated the mRNA and protein expression of the
408 candidate transcription factors in idiopathic FGR-affected placentae compared with
409 gestation-matched controls. Thus, our study demonstrated that DLX3 is directly or
410 indirectly necessary for mRNA and protein expression of transcription factors
411 required for trophoblast development.
412
413 The GATA family of transcription factors is responsible for coordinating the
414 transcription of a set of genes in murine placental giant cells, which are thought to be
415 functionally equivalent to extravillous cytotrophoblast cells of the human placenta.
416 This set of genes may be important in trophoblast giant cell differentiation (Ma et al.,
417 1997). In particular, GATA2 regulates and determines the tissue localisation of 18
418 factors required for trophoblast differentiation (Cheng and Handwerger, 2005; Cheng
419 et al., 2004; Ma et al., 1997; Ng et al., 1994). In addition, GATA family members
420 regulate steroidogenic genes such as 3β-HSD (Lavoie and King, 2009), which is
421 suggestive of its role in trophoblast differentiation. In the mouse model, targeted
422 deletion of Gata2 resulted in embryonic death at E9.5 in most cases, but those pups
423 that survived showed a growth restricted phenotype (Ng et al., 1994).
424
425 In this study, we have observed a significant increase in GATA2 mRNA and protein
426 levels in idiopathic FGR-affected placentae compared with controls. We further
427 assessed whether there are potential DLX3 binding sites in the regulatory regions of
428 GATA2 gene. A 5 out of 8 nucleotide exact match (shown by underlining) with the
429 consensus DLX3 binding site 5’-ATAATTAC-3’ was found in the genomic DNA within
430 the 5’UTR promoter region of GATA2, at a position 351 nucleotides upstream of
431 exon 1 (Accession Number NM_032638). The matching nucleotides included the
432 highly conserved 5’-TAAT-3’ core binding site for homeodomain proteins.
433
434 Increased GATA2 expression may result in increased villous cytotrophoblast
435 differentiation. This increase may, in turn, result in a higher rate of fusion and form a
436 syncytiotrophoblast layer that may not have time to shed into the maternal
437 circulation, affecting the regenerative nature of this layer. Therefore, it is suggested
438 that in order to compensate for this in the idiopathic FGR-affected placenta,
439 increased apoptosis of villous cytotrophoblast cells occur (Huppertz et al., 2006).
440
441 The PPARs (Peroxisome Proliferator-Activated Receptors) are ligand-inducible
442 transcription factors that belong to the nuclear hormone receptor superfamily (Ogata 19
443 et al., 2002). The PPARs have been implicated in many normal and disease-related
444 biological processes relevant to the heart and vasculature, insulin sensitivity,
445 adipogenesis and in placental function (Chawla et al., 2001). In the first trimester
446 human placenta, PPARγ is expressed in the villous cytotrophoblast and invading
447 extravillous trophoblast cells (Schaiff et al., 2006). In the second trimester, PPARγ
448 expression is present in the columns of the anchoring villi (Schaiff et al., 2006). In the
449 third trimester, PPARγ is localised to the syncytiotrophoblast and the villous
450 cytotrophoblast cells (Schaiff et al., 2006). PPARγ is involved in the invasion
451 pathway during human placental development (Fournier et al., 2007; Fournier et al.,
452 2008) and is also important for regulating the levels of β-hCG, human placental
453 lactogen, placental growth hormone and leptin (Tarrade et al., 2001b), suggestive of
454 its important role in villous cytotrophoblast differentiation. Recently, we have
455 demonstrated co-localisation of DLX3 and PPARγ in differentiating trophoblasts
456 suggesting a possible regulatory role for DLX3 and PPARγ in bovine placental
457 development (Degrelle et al., 2011).
458
459 In this study, the relative expression of PPARγ was decreased in both the PCR array
460 and validation studies in BeWo cells. However, the relative expression of PPARγ
461 was significantly increased in FGR-affected placentae compared with controls, which
462 is consistent with another study (Holdsworth-Carson et al., 2010). Rodie et al (Rodie
463 et al., 2005) have reported the localisation of PPARγ within isolated stromal and
464 endothelial cells in FGR-affected placentae. Therefore, the inconsistency in
465 expression of PPARγ between cell culture and placental tissue may be due to using
466 isolated trophoblast cells and trophoblast derived cell lines compared with whole
467 placental tissue which consists of multiple cells types. This suggests that changes in 20
468 mRNA and protein expression observed in FGR placentae reflect the total placental
469 PPARγ expression.
470
471 In conclusion, this study identified novel candidate downstream target genes of
472 DLX3 and showed that they are expressed in the human placenta. Furthermore, this
473 study showed that the candidate genes are significantly altered in human idiopathic
474 FGR and demonstrated the potential value of using in vitro models for studies into
475 the functional role/s of genes in the human placenta. The results from this study
476 support the hypothesis that downstream target genes of DLX3 may be involved in
477 the molecular mechanism underlying the pathogenesis human idiopathic FGR.
478
479 Acknowledgements
480 The authors wish to thank the consenting patients and the clinical and research
481 midwives, Sue Nisbet and Sue Duggan, for the supply of preterm and third trimester
482 placental tissues. Funding support for this work was provided from the Australian
483 National Health and Medical Research Council (NHMRC project grant #509140) to
484 Dr. P. Murthi, and by postgraduate scholarship support to A. Chui from The Royal
485 Women’s Hospital, from an Arthur Nylasy Award and from a Felix Meyer
486 Postgraduate Scholarship, the latter two both being from The University of
487 Melbourne.
488 21
489 References
490 Akin, Z.N., and Nazarali, A.J. (2005). Hox genes and their candidate downstream
491 targets in the developing central nervous system. Cell Mol Neurobiol 25, 697-741.
492 Battistelli, M., Burattini, S., Pomini, F., Scavo, M., Caruso, A., and Falcieri, E. (2004).
493 Ultrastructural study on human placenta from intrauterine growth retardation cases.
494 Microsc Res Tech 65, 150-158.
495 Brodsky, D., and Christou, H. (2004). Current concepts in intrauterine growth
496 restriction. J Intensive Care Med 19, 307-319.
497 Chawla, A., Barak, Y., Nagy, L., Liao, D., Tontonoz, P., and Evans, R.M. (2001).
498 PPAR-gamma dependent and independent effects on macrophage-gene expression
499 in lipid metabolism and inflammation. Nat Med 7, 48-52.
500 Chen, C.P., Bajoria, R., and Aplin, J.D. (2002). Decreased vascularization and cell
501 proliferation in placentas of intrauterine growth-restricted fetuses with abnormal
502 umbilical artery flow velocity waveforms. Am J Obstet Gynecol 187, 764-769.
503 Cheng, Y.H., and Handwerger, S. (2005). A placenta-specific enhancer of the human
504 syncytin gene. Biol Reprod 73, 500-509.
505 Cheng, Y.H., Richardson, B.D., Hubert, M.A., and Handwerger, S. (2004). Isolation
506 and characterization of the human syncytin gene promoter. Biol Reprod 70, 694-701.
507 Chui, A., Pathirage, N.A., Johnson, B., Cocquebert, M., Fournier, T., Evain-Brion, D.,
508 Roald, B., Manuelpillai, U., Brennecke, S.P., Kalionis, B., et al. (2010). Homeobox
509 gene distal-less 3 is expressed in proliferating and differentiating cells of the human
510 placenta. Placenta 31, 691-697.
511 Chui, A., Evseenko, D.A., Brennecke, S.P., Keelan, J.A., Kalionis, B., and Murthi, P.
512 (2011a). Homeobox gene Distal-less 3 (DLX3) is a regulator of villous
513 cytotrophoblast differentiation. Placenta 32, 745-751. 22
514 Chui, A., Tay, C., Cocquebert, M., Sheehan, P., Pathirage, N.A., Donath, S.,
515 Fournier, T., Badet, J., Evain-Brion, D., Brennecke, S.P., et al. (2011b). Homeobox
516 gene Distal-Less 3 is a regulator of villous cytotrophoblast differentiation and its
517 expression is increased in human idiopathic foetal growth restriction. J Mol Med
518 (Berl).
519 Cnattingius, S., and Taube, A. (1998). Stillbirths and rate of neonatal deaths in
520 76,761 postterm pregnancies in Sweden, 1982-1991; a register study. Acta Obstet
521 Gynecol Scand 77, 582-583.
522 Cross, J.C. (2003). The genetics of pre-eclampsia: a feto-placental or maternal
523 problem? Clin Genet 64, 96-103.
524 Degrelle SA, Murthi P, Evain-Brion D, Fournier T, Hue I. (2011). Expression and
525 localization of DLX3, PPARG and SP1 in bovine trophoblast during binucleated cell
526 differentiation. Placenta. 32(11):917-20.
527 Devriendt, K. (2000). Genetic control of intra-uterine growth. Eur J Obstet Gynecol
528 Reprod Biol 92, 29-34.
529 Foronda, D., de Navas, L.F., Garaulet, D.L., and Sanchez-Herrero, E. (2008).
530 Function and specificity of Hox genes. Int J Dev Biol.
531 Fournier, T., Handschuh, K., Tsatsaris, V., and Evain-Brion, D. (2007). Involvement
532 of PPARgamma in human trophoblast invasion. Placenta 28 Suppl A, S76-81.
533 Fournier, T., Therond, P., Handschuh, K., Tsatsaris, V., and Evain-Brion, D. (2008).
534 PPARgamma and early human placental development. Curr Med Chem 15, 3011-
535 3024.
536 Frisk, V., Amsel, R., and Whyte, H.E. (2002). The importance of head growth
537 patterns in predicting the cognitive abilities and literacy skills of small-for-gestational-
538 age children. Dev Neuropsychol 22, 565-593. 23
539 Froen, J.F., Gardosi, J.O., Thurmann, A., Francis, A., and Stray-Pedersen, B.
540 (2004). Restricted fetal growth in sudden intrauterine unexplained death. Acta Obstet
541 Gynecol Scand 83, 801-807.
542 Gagnon, R. (2003). Placental insufficiency and its consequences. Eur J Obstet
543 Gynecol Reprod Biol 110 Suppl 1, S99-107.
544 Gale, C.R., and Martyn, C.N. (2004). Birth weight and later risk of depression in a
545 national birth cohort. Br J Psychiatry 184, 28-33.
546 Gardosi, J. (1998). The application of individualised fetal growth curves. J Perinat
547 Med 26, 333-338.
548 Gardosi, J., Mul, T., Mongelli, M., and Fagan, D. (1998). Analysis of birthweight and
549 gestational age in antepartum stillbirths. Br J Obstet Gynaecol 105, 524-530.
550 Ghezzi, F., Tibiletti, M.G., Raio, L., Di Naro, E., Lischetti, B., Taborelli, M., and
551 Franchi, M. (2003). Idiopathic fetal intrauterine growth restriction: a possible
552 inheritance pattern. Prenat Diagn 23, 259-264.
553 Ghidini, A. (1996). Idiopathic fetal growth restriction: a pathophysiologic approach.
554 Obstet Gynecol Surv 51, 376-382.
555 Godfrey, K.M., and Barker, D.J. (2000). Fetal nutrition and adult disease. Am J Clin
556 Nutr 71, 1344S-1352S.
557 Godfrey, K.M., and Barker, D.J. (2001). Fetal programming and adult health. Public
558 Health Nutr 4, 611-624.
559 Guaran, R.L., Wein, P., Sheedy, M., Walstab, J., and Beischer, N.A. (1994). Update
560 of growth percentiles for infants born in an Australian population. Aust N Z J Obstet
561 Gynaecol 34, 39-50.
562 Han, L., Dias Figueiredo, M., Berghorn, K.A., Iwata, T.N., Clark-Campbell, P.A.,
563 Welsh, I.C., Wang, W., O'Brien T, P., Lin, D.M., and Roberson, M.S. (2007). Analysis 24
564 of the gene regulatory program induced by the homeobox transcription factor distal-
565 less 3 in mouse placenta. Endocrinology 148, 1246-1254.
566 Handschuh, K., Guibourdenche, J., Tsatsaris, V., Guesnon, M., Laurendeau, I.,
567 Evain-Brion, D., and Fournier, T. (2007). Human chorionic gonadotropin expression
568 in human trophoblasts from early placenta: comparative study between villous and
569 extravillous trophoblastic cells. Placenta 28, 175-184.
570 Hemberger, M., and Cross, J.C. (2001). Genes governing placental development.
571 Trends Endocrinol Metab 12, 162-168.
572 Holdsworth-Carson, S.J., Lim, R., Mitton, A., Whitehead, C., Rice, G.E., Permezel,
573 M., and Lappas, M. (2010). Peroxisome proliferator-activated receptors are altered in
574 pathologies of the human placenta: gestational diabetes mellitus, intrauterine growth
575 restriction and preeclampsia. Placenta 31, 222-229.
576 Huppertz, B., Kadyrov, M., and Kingdom, J.C. (2006). Apoptosis and its role in the
577 trophoblast. Am J Obstet Gynecol 195, 29-39.
578 Kingdom, J., Huppertz, B., Seaward, G., and Kaufmann, P. (2000). Development of
579 the placental villous tree and its consequences for fetal growth. Eur J Obstet
580 Gynecol Reprod Biol 92, 35-43.
581 Lavoie, H.A., and King, S.R. (2009). Transcriptional regulation of steroidogenic
582 genes: STARD1, CYP11A1 and HSD3B. Exp Biol Med (Maywood).
583 Lee, P.A., Kendig, J.W., and Kerrigan, J.R. (2003). Persistent short stature, other
584 potential outcomes, and the effect of growth hormone treatment in children who are
585 born small for gestational age. Pediatrics 112, 150-162.
586 Livak, K.J., and Schmittgen, T.D. (2001). Analysis of relative gene expression data
587 using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods 25,
588 402-408. 25
589 Ma, G.T., Roth, M.E., Groskopf, J.C., Tsai, F.Y., Orkin, S.H., Grosveld, F., Engel,
590 J.D., and Linzer, D.I. (1997). GATA-2 and GATA-3 regulate trophoblast-specific gene
591 expression in vivo. Development 124, 907-914.
592 McIntire, D.D., Bloom, S.L., Casey, B.M., and Leveno, K.J. (1999). Birth weight in
593 relation to morbidity and mortality among newborn infants. N Engl J Med 340, 1234-
594 1238.
595 Morasso, M.I., Grinberg, A., Robinson, G., Sargent, T.D., and Mahon, K.A. (1999).
596 Placental failure in mice lacking the homeobox gene Dlx3. Proc Natl Acad Sci U S A
597 96, 162-167.
598 Murthi, P., Doherty, V., Said, J., Donath, S., Brennecke, S.P., and Kalionis, B.
599 (2006a). Homeobox gene HLX1 expression is decreased in idiopathic human fetal
600 growth restriction. Am J Pathol 168, 511-518.
601 Murthi, P., Doherty, V.L., Said, J.M., Donath, S., Brennecke, S.P., and Kalionis, B.
602 (2006b). Homeobox gene ESX1L expression is decreased in human pre-term
603 idiopathic fetal growth restriction. Mol Hum Reprod 12, 335-340.
604 Murthi, P., Said, J.M., Doherty, V.L., Donath, S., Nowell, C.J., Brennecke, S.P., and
605 Kalionis, B. (2006c). Homeobox gene DLX4 expression is increased in idiopathic
606 human fetal growth restriction. Mol Hum Reprod 12, 763-769.
607 Ng, Y.K., George, K.M., Engel, J.D., and Linzer, D.I. (1994). GATA factor activity is
608 required for the trophoblast-specific transcriptional regulation of the mouse placental
609 lactogen I gene. Development 120, 3257-3266.
610 Ogata, T., Miyauchi, T., Sakai, S., Irukayama-Tomobe, Y., Goto, K., and Yamaguchi,
611 I. (2002). Stimulation of peroxisome-proliferator-activated receptor alpha (PPAR
612 alpha) attenuates cardiac fibrosis and endothelin-1 production in pressure-
613 overloaded rat hearts. Clin Sci (Lond) 103 Suppl 48, 284S-288S. 26
614 Rajaraman, G., Murthi, P., Pathirage, N., Brennecke, S.P., and Kalionis, B. (2010).
615 Downstream targets of homeobox gene HLX show altered expression in human
616 idiopathic fetal growth restriction. Am J Pathol 176, 278-287.
617 Roberson, M.S., Meermann, S., Morasso, M.I., Mulvaney-Musa, J.M., and Zhang, T.
618 (2001). A role for the homeobox protein Distal-less 3 in the activation of the
619 glycoprotein hormone alpha subunit gene in choriocarcinoma cells. J Biol Chem 276,
620 10016-10024.
621 Rodie, V.A., Young, A., Jordan, F., Sattar, N., Greer, I.A., and Freeman, D.J. (2005).
622 Human placental peroxisome proliferator-activated receptor delta and gamma
623 expression in healthy pregnancy and in preeclampsia and intrauterine growth
624 restriction. J Soc Gynecol Investig 12, 320-329.
625 Rossant, J., and Cross, J.C. (2001). Placental development: lessons from mouse
626 mutants. Nat Rev Genet 2, 538-548.
627 Rosso, I.M., Cannon, T.D., Huttunen, T., Huttunen, M.O., Lonnqvist, J., and
628 Gasperoni, T.L. (2000). Obstetric risk factors for early-onset schizophrenia in a
629 Finnish birth cohort. Am J Psychiatry 157, 801-807.
630 Salafia, C.M., Charles, A.K., and Maas, E.M. (2006). Placenta and fetal growth
631 restriction. Clin Obstet Gynecol 49, 236-256.
632 Sapin, V., Blanchon, L., Serre, A.F., Lemery, D., Dastugue, B., and Ward, S.J.
633 (2001). Use of transgenic mice model for understanding the placentation: towards
634 clinical applications in human obstetrical pathologies? Transgenic Res 10, 377-398.
635 Schaiff, W.T., Barak, Y., and Sadovsky, Y. (2006). The pleiotropic function of PPAR
636 gamma in the placenta. Mol Cell Endocrinol 249, 10-15.
637 Steffensen, F.H., Sorensen, H.T., Gillman, M.W., Rothman, K.J., Sabroe, S.,
638 Fischer, P., and Olsen, J. (2000). Low birth weight and preterm delivery as risk 27
639 factors for asthma and atopic dermatitis in young adult males. Epidemiology 11, 185-
640 188.
641 Tarrade, A., Lai Kuen, R., Malassine, A., Tricottet, V., Blain, P., Vidaud, M., and
642 Evain-Brion, D. (2001a). Characterization of human villous and extravillous
643 trophoblasts isolated from first trimester placenta. Lab Invest 81, 1199-1211.
644 Tarrade, A., Schoonjans, K., Guibourdenche, J., Bidart, J.M., Vidaud, M., Auwerx, J.,
645 Rochette-Egly, C., and Evain-Brion, D. (2001b). PPAR gamma/RXR alpha
646 heterodimers are involved in human CG beta synthesis and human trophoblast
647 differentiation. Endocrinology 142, 4504-4514.
648
649 28
650 Table 1 Clinical characteristics of samples used in this study
Control Significance Characteristics FGR (n=25) (n=25) (t-test)
Gestational age (Weeks) 34.4±6.5 35.8±6.6 p=0.25 (Mean ± SD)
Maternal Age 33.2±5.7 31.9±6.5 p=0.4 (Mean ± SD)
Placental Weight (g) 409.3±110.3 525.0±148.2 p<0.005 (Mean ± SD)
Parity (n)
Primiparous (n) 12 10 p=0.56
Multiparous (n) 13 15
Mode of Delivery
Vaginal Delivery (n) 10 6
Caesarean in labour (n) 3 2 p=0.35
Caesarean not in labour 12 17 (n)
New born characteristics
Male (n) 8 12
Female (n) 17 13 p=0.25
Birth weight(g) 2051.4±637.0 2603.8±857 p<0.05 (Mean±SD)
11-90% (n) 0 25
6-10% (n) 11 0
<3-5% centile (n) 14 0
651 29
652 Table 2 Clinical criteria of the idiopathic FGR-affected pregnancies
Clinical Characteristicsa Number of samples
BW < 10th centile (n/25) 25/25 100%
Abnormal Umbilical Artery Doppler velocimetry
Elevated (n/25) 7/25
Absent (n/25) 8/25
Reversed (n/25) 6/25
Not Recorded for Doppler velocimetry 4/25 (n/25)
Asymmetric Growth
HC: AC >1.2 (n/25) 21/25
Not recorded for HC: AC (n/25) 4/25
Oligohydramnios
AFI<7 (n/25) 18/25
AFI >7 (n/25) 7/25
653
654 a. All FGR-affected pregnancies included in this study met with the first criterion for
655 birth weight (BW) less than the 10th centile for gestation and at least two of the other
656 independent ultrasound selection criteria. 17/25 FGR-affected pregnancies met with
657 all three ultrasound selection criteria.
658 30
659 Figure Legends
660 Fig 1 Identification of DLX3 downstream target genes after plasmid construct
661 over-expression of DLX3
662 BeWo cells were transfected with a plasmid over-expression construct for DLX3
663 over-expression; The RT2 PCR Transcription Factors array was used for gene
664 profiling. Relative gene expression values or the fold change of each gene relative to
665 the vector control was calculated by normalisation to the housekeeping gene panel
666 (x-axis). The line shows the threshold value at 1. Values greater than 1 were termed
667 a fold increase and those less than 1 were considered a fold decrease.
668
669 Fig 2 Identification of DLX3 downstream target genes after DLX3 siRNA
670 RNA was extracted from BeWo cells transfected with DLX3 siRNA, transcribed into
671 first strand cDNA, and the RT2 Profiler PCR Transcription Factors array performed
672 for gene profiling. Gene expression values (fold change above or below threshold
673 value of 1) were subsequently calculated for the DLX3 siRNA-treated plate, relative
674 to the NC control and normalised to the housekeeping gene panel (x-axis). The line
675 shows the threshold value at 1. Values greater than 1 were termed a fold increase
676 and those less than 1 were considered a fold decrease.
677
678 Fig 3 Prioritised candidate DLX3 downstream target genes
679 Candidate downstream target genes of DLX3 were prioritised according to
680 documented function in cell differentiation. Relative up- or down-regulation of the
681 prioritised genes were calculated using the PCR array template provided by
682 SABiosciences (Australia), such that the inverse of the negative fold difference value 31
683 from the PCR array generated a up- or down-regulation value for the gene of interest
684 (1/- fold difference).
685
686 a. The relative up- or down-regulation of the prioritised candidate downstream
687 targets of DLX3 after plasmid over-expression.
688
689 b. The relative up- or down-regulation of the prioritised candidate genes after siRNA-
690 mediated DLX3 mRNA and protein inactivation.
691
692 Fig 4 Validation of candidate DLX3 downstream target genes in cultured BeWo
693 cells
694 a. cDNA from BeWo cells transfected with a plasmid over-expression construct for
695 DLX3 mRNA over-expression using pre-validated Taqman gene expression assays.
696 Relative quantification of gene expression was normalised to the 18S rRNA
697 housekeeping gene, according to the 2-ΔΔCT method of Livak and Schmittgen (2001).
698 The vector control was used as the calibrator. * = Significance, p<0.005, n=3,
699 Student’s t-test. The Y-axis represents the gene expression relative to 18S rRNA.
700 The black bars represent BeWo cells treated with the vector control and the grey
701 bars represent BeWo cells treated with the DLX3 plasmid over-expression construct.
702
703 b. cDNA from BeWo cells transfected with NC control, siRNA 1 or siRNA 2 for DLX3
704 mRNA down-regulation using pre-validated Taqman gene expression assays. The
705 18S rRNA housekeeping gene was used for relative quantification according to the 2-
706 -ΔΔCT method of Livak and Schmittgen (2001). The NC control was used as the
707 calibrator. * = Significance, p<0.005, n=3, Student’s t-test. The Y-axis represents the 32
708 gene expression relative to 18S rRNA. The black bars represent BeWo cells
709 transfected with the NC control, the grey bars represent cells transfected with siRNA
710 1 and the clear bars represent cells transfected with siRNA 2.
711
712 Fig 5 Basal mRNA levels of DLX3 candidate target genes in isolated primary
713 villous cytotrophoblast cells
714 Primary villous cytotrophoblast cells were isolated and cultured for 72 hours from first
715 trimester and term whole placentae. Real-time PCR for the basal mRNA levels of
716 GATA2 (panel a) and PPARγ (panel b) normalised to the housekeeping gene 18S
717 rRNA was performed according to the 2-ΔΔCT method of Livak and Schmittgen (2001).
718 The Y-axis represents gene expression normalised to the housekeeping gene 18S
719 rRNA.
720
721 Fig 6 DLX3 candidate target gene expression in idiopathic FGR-affected
722 placentae
723 a. Real-time PCR for relative quantification of GATA2 and PPARγ mRNA normalised
724 to the housekeeping gene GAPDH was performed in all FGR-affected placentae
725 (n=25) and gestation matched controls (n=25). Statistical data was analysed
726 according to the 2-ΔΔCT method of Livak and Schmittgen (2001). * = Significance,
727 p<0.05, n=25, Student’s t-test. The Y-axis represents the gene expression
728 normalised to the housekeeping gene GAPDH. The X-axis represents the control
729 and idiopathic FGR-affected placentae groups. The black bars represent control
730 placentae and the grey bars represent idiopathic FGR-affected placentae.
731 33
732 b. Protein was extracted from human idiopathic FGR-affected placentae (n=6) and
733 gestation matched controls (n=6). Immunoblotting was carried out using
734 commercially available GATA2, PPARγ and GAPDH antibodies. Chemiluminescent
735 detection of GATA2 (50kDa), PPARγ (65kDa) and a representative GAPDH (38kDa)
736 are shown. Lanes 1-6 are control placental samples and lanes 7-12 are FGR-
737 affected placental samples. Lane 13 is the primary antibody omitted negative
738 controls.
739
740 c. The percentage densitometric values of GATA2 and PPARγ relative to each
741 individually paired GAPDH are shown. * = Significance, p<0.05, n=6, Student’s t-test.
742 The Y-axis represents the percentage densitometric values of the GATA2 and
743 PPARγ relative to GAPDH. FigFigure 1 1
5
4.5
4
3.5
3
2.5
2
1.5
Fold differences relative to control1
0.5
0 AR ID1 SP1 SP3 YY1 RB1 REL JUN TBP DR1 FOS MAX MYB IRF1 MYC TP53 E2F1 E2F6 ATF1 ATF2 ATF3 ATF4 ELK1 TCF1 ETS1 ETS2 PAX6 HSF1 RELA RELB ESR1 JUNB M YF5 JUND NFYB ARNT EG R1 TG IF1 HIF1A STAT1 STAT2 STAT3 STAT4 STAT6 NFAT5 NFKB1 G TF2B NR3C1 FO XA2 HNF4A G ATA1 G ATA2 G ATA3 CREB1 M EF2A M EF2B FO XO 1 HO XA5 HAND1 HAND2 HDAC1 M EF2C PPARA CEBPA CEBPB SM AD1 SM AD4 SM AD5 SM AD9 PPARG CEBPG M YO D1 TCF7L2 G TF2F1 STAT5A STAT5B TFAP2A NFATC1 NFATC2 NFATC3 NFATC4 CTNNB1 PO U2AF CREBBP Figure 2
Fig 2
3 0 0 0
2 7 5 0
2 5 0 0
2 2 5 0
2 0 0 0 1 0
5
0
1
1
1 6
2
1
1
1
1
1 1 4 5 9
5
1 3 2
1 1 3 1 1
6
1 5
1 2 4 3 1 1
2 1 1 2 1 2 3 4 6
1 1 2 1 1 3
1 5 1 1
1 1 2 3 4
L
T
S P
P
X
B
A
H
N
A
B D A B B
A B A B C
B
A B
A
A
B C
A
R
G
G
M
F F
F
F
F
F
F
F F F F F
F 5
E
B
D
L
D D D D D
R B P P Y
X
R
D D T T T T T
K R S S
B T T
B
1
N
2 2 2
2
5 5
4
2
3
B
A A A
C A
A O
C
B C C C C
T
D
U
R
N N Y L L
P P
Y Y
2
I
O
A
R
P
A I
2 2
2
7
R
Y
T T T T
S P
E
R
F
F F F
F
F
K
1
A
D R S S Y
C
N N
L T T S
3 R
N
J
R
F E E
T T
P
O A A A A
F T
T T T
A
X
G
X X A A A A A
A
B T T T T
P
U U
B B
I B
A
B
C
I
A
G
A
E E
F
M M
F
M
E E E
F
2
E E E E H T
R
T
N
L
A A A A E T
F P R
E N
J J N R R
E E
Y
P
A A T T T T T
E
A
A A
A
M
A A A
D O
O O
A A A A
H
A
P
T
P
A
T
M M M M
N
C
U
H
P
C N N H
R T
G
F
F F H H S S S S S
F F F F
C C M M M
T T
H H
C
P
G G G
P
G
M S S S S
G
T
R
O
T
C C N N N N
S S P
FigFigure 3 3
a
100.00
4.36 0.00 GATA 2 P PA R G
- 100.00-
200.00- -OR DOWN
300.00- REGULATION
FOLDDIFFERENCE) 400.00- (1/ -
RELATIVE FOLD UP FOLD RELATIVE 500.00- 497.81-
600.00-
b
180.00 169.37 160.00
- 140.00
120.00
-OR DOWN 100.00
80.00
REGULATION 60.00
(1/ -FOLDDIFFERENCE) 40.00 RELATIVE FOLD UP FOLD RELATIVE 20.00 1.08 0.00 GATA 2 PPARγ FigFigure 4 4
a
7
6 * 5 Vector Control P lasmid 4 OE construct
3
2
1
0 * Gene expression relative to 18S rRNA GA TA 2 P P A Rγ
b
5 * 4.5
4 NC 3.5 siRNA 1 3 siRNA 2
2.5
2
1.5 1 * 0.5
0 Gene expression relative to 18S rRNA GA TA 2 PPARγ FigureFig 5 5
a
G A TA 2
6 5 4 3 2 1 0 1st Trim ST Term ST Expression relative to 18S rRNA
b
PPARγ
1.6 1.4 1.2 1 0.8 0.6 0.4 0.2 0 1st Trim ST Term ST Expression relative to 18S rRNA FigFigure 6 6
a
G A TA 2 PPARγ
50 70 * 60 40 * 50 30 40 20 30
GAPDH 20 10 GAPDH 10 0 0 Expression relative to CONTROLFGR Expression relative to CONTROLFGR
b 1 2 3 4 5 6 7 8 9 10 11 12 13
50kDa
65kDa
38kDa
c G A TA 2 PPARγ 140 140 * 120 120 *
100 100
80 80
60 60
40 40
20 20 % densitometric relative units to G AP DH % densitometric relative units to G AP DH 0 0 CONTROLS FGR CONTROLS FGR Highlights Homeobox genes Gene expression Trophoblast Fetal growth
Minerva Access is the Institutional Repository of The University of Melbourne
Author/s: Chui, A; Kalionis, B; Abumaree, M; Cocquebert, M; Fournier, T; Evain-Brion, D; Brennecke, SP; Murthi, P
Title: Downstream targets of the homeobox gene DLX3 are differentially expressed in the placentae of pregnancies affected by human idiopathic fetal growth restriction
Date: 2013-09-05
Citation: Chui, A., Kalionis, B., Abumaree, M., Cocquebert, M., Fournier, T., Evain-Brion, D., Brennecke, S. P. & Murthi, P. (2013). Downstream targets of the homeobox gene DLX3 are differentially expressed in the placentae of pregnancies affected by human idiopathic fetal growth restriction. MOLECULAR AND CELLULAR ENDOCRINOLOGY, 377 (1-2), pp.75-83. https://doi.org/10.1016/j.mce.2013.06.032.
Publication Status: Accepted manuscript
Persistent Link: http://hdl.handle.net/11343/55076