1

1 Downstream Targets of the 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 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 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 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 .

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 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 TP53 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