Toft Johanne Holm, Lian Ingrid Alsos, Tarca Adi Laurentiu, Erez Offer, Espinoza Jimmy, Eide Irina Poliakova, Bjørge Line, Draghici Sorin, Romero Roberto, Austgulen Rigmor
Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway.
J Matern Fetal Neonatal Med. 2008 Apr;21(4):267-73. doi: 10.1080/14767050801924118.
To compare the placental pathology associated with pre-eclampsia (PE) and/or fetal growth restriction, the transcriptomes of placental tissues from PE and small-for-gestational-age (SGA) pregnancies were explored. In addition, a targeted analysis of angiogenesis-regulating gene expression was performed.
Whole-genome microarray analysis was performed on placental tissue from gestational age-matched PE (n = 10), SGA (n = 8) and PE + SGA (n = 10) pregnancies. The expression of genes regulating angiogenesis (endoglin (ENG), fms-related tyrosine kinase 1 (FLT1), vascular endothelial growth factor (VEGF) and placental growth factor (PlGF)) was analyzed by quantitative real time reverse transcriptase polymerase chain reaction (qRT-PCR).
Microarray analysis did not reveal any significant differences between groups. However, an increased expression of ENG and FLT1 was detected by qRT-PCR in the PE + SGA group.
The placental transcriptome did not differ between groups, although an increased anti-angiogenic gene expression in PE + SGA was observed with qRT-PCR analysis. Based on this, we conclude that although microarray technology may represent a powerful tool in generating new hypothesis in complex fields, it may not be sensitive enough to detect subtle changes in gene expression.
为比较与子痫前期(PE)和/或胎儿生长受限相关的胎盘病理学,对来自PE和小于胎龄(SGA)妊娠的胎盘组织转录组进行了探索。此外,还对血管生成调节基因表达进行了靶向分析。
对孕周匹配的PE妊娠(n = 10)、SGA妊娠(n = 8)和PE + SGA妊娠(n = 10)的胎盘组织进行全基因组微阵列分析。通过定量实时逆转录聚合酶链反应(qRT-PCR)分析调节血管生成的基因(内皮糖蛋白(ENG)、fms相关酪氨酸激酶1(FLT1)、血管内皮生长因子(VEGF)和胎盘生长因子(PlGF))的表达。
微阵列分析未发现各组之间有任何显著差异。然而,qRT-PCR检测到PE + SGA组中ENG和FLT1的表达增加。
尽管qRT-PCR分析观察到PE + SGA中抗血管生成基因表达增加,但各组之间的胎盘转录组没有差异。基于此,我们得出结论,尽管微阵列技术可能是在复杂领域产生新假设的有力工具,但它可能不够敏感,无法检测到基因表达的细微变化。