Project description:To investigate the differentially expressed lncRNAs and mRNAs in human placenta between normal pregnancy and preeclampsia, we performed the human LncRNA microarray analysis of 8 samples from clinical patients.
Project description:To determine the circRNA expression profile in preeclampsia and natural pregnancy placenta tissues, we uesed circRNA microArray analysis form Arraystar to examine the expression of circRNAs in preeclampsia and natural pregnancy placenta tissues.
Project description:Background: Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. We want to study the lncRNAs profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent demonstrating that the placenta is sufficient to cause the condition. So we analyze the lncRNAs profiles in preeclampsia placentas. In this study, we described the lncRNAs profiles in 6 preeclampsia placentas (T) and 5 matched normal pregnancy placentas (N) tissues by microarray. Methodology/Principal Findings: With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 28,443. From the data we found there were 738 lncRNAs that differentially expressed (M-bM-^IM-%1.5 fold-change) among preeclampsia placentas compared with matched controls. Up to 18,063 coding transcripts could be detected in placenta samples through 30,215 coding transcripts probes. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differential expressed lncRNAs and mRNAs. According to the GO-Pathway analysis of differential expressed lncRNAs/mRNAs, we choose three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, CEACAMP8 were evaluated by qPCR in 40 of preeclampsia placentas and 40 of controls. The results showed three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls. Conclusions/Significance: Our study is the first one to determine genome-wide lncRNAs expression patterns in preeclampsia placenta by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which revealed that lncRNAs differentially expressed in preeclampsia placenta may exert a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, CEACAMP8 might be associated with preeclampsia. Taken together, this study may provide potential targets for future treatment of preeclampsia and novel insights into preeclampsia biology. LncRNAs/mRNAs profiles in 6 preeclampsia placentas and 5 matched normal pregnancy placentas tissues by microarray using Arraystar v2.0.
Project description:To investigate the differentially expressed lncRNAs,CircRNAs and mRNAs in Human Umbilical Vein Endothelial Cells between normal pregnancy and preeclampsia, we performed the human lncRNA,cirRNA and mRNA microarray analysis of 8 samples from clinical patients.
Project description:Background: Long non-coding RNAs (lncRNAs) are an important class of pervasive genes involved in a variety of biological functions. They are aberrantly expressed in many types of diseases. We want to study the lncRNAs profiles in preeclampsia. Preeclampsia has been observed in patients with molar pregnancy where a fetus is absent demonstrating that the placenta is sufficient to cause the condition. So we analyze the lncRNAs profiles in preeclampsia placentas. In this study, we described the lncRNAs profiles in 6 preeclampsia placentas (T) and 5 matched normal pregnancy placentas (N) tissues by microarray. Methodology/Principal Findings: With abundant and varied probes accounting 33,045 LncRNAs in our microarray, the number of lncRNAs that expressed at a certain level could be detected is 28,443. From the data we found there were 738 lncRNAs that differentially expressed (≥1.5 fold-change) among preeclampsia placentas compared with matched controls. Up to 18,063 coding transcripts could be detected in placenta samples through 30,215 coding transcripts probes. Coding-non-coding gene co-expression networks (CNC network) were constructed based on the correlation analysis between the differential expressed lncRNAs and mRNAs. According to the GO-Pathway analysis of differential expressed lncRNAs/mRNAs, we choose three lncRNAs to analyze the relationship between lncRNAs and preeclampsia. LOC391533, LOC284100, CEACAMP8 were evaluated by qPCR in 40 of preeclampsia placentas and 40 of controls. The results showed three lncRNAs were aberrantly expressed in preeclampsia placentas compared with controls. Conclusions/Significance: Our study is the first one to determine genome-wide lncRNAs expression patterns in preeclampsia placenta by microarray. The results displayed that clusters of lncRNAs were aberrantly expressed in preeclampsia placenta compared with controls, which revealed that lncRNAs differentially expressed in preeclampsia placenta may exert a partial or key role in preeclampsia development. Misregulation of LOC391533, LOC284100, CEACAMP8 might be associated with preeclampsia. Taken together, this study may provide potential targets for future treatment of preeclampsia and novel insights into preeclampsia biology.
Project description:We used microarray to detail Competing endogenous RNA expreession in placenta tissues from normal human and patients with severe preeclampsia
Project description:Preeclampsia is usually considered as a placental basis of diseases, as there are many differently expressed proteins or pathogenic proteins expressed in the placenta. Owing to the important role of post-transcriptional gene regulation in phenotypes and functions of cells, non-coding ribonucleic acid (ncRNA) molecules contributed to the regulation. We collected 7 placental samples from 3 preeclampsia patients and 4 normal women, focused on the basal plate of placenta, as it is the direct connection of mother and fetal, and adopted SBC human ceRNA array V1.0(4×180K)and human miRNA microarray (8*60 K). The results revealed that expressions of 2840 lncRNAs, 1093 mRNAs, 4282 circRNAs and 4 miRNAs were different between preeclampsia and normal placentas. The functions of differentially expressed lncRNAs and co-expressed potential targeting genes were predicted by analyzing Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) biological pathway analysis. Furthermore, we analyzed and find the co-expression and interaction patterns of different RNAs and possible ceRNA mechanism. The present study provided a systematic perspective on the potential function of non-coding RNAs (ncRNAs) in the pathogenesis of preeclampsia.
Project description:Preeclampsia (PE), which results from abnormal placentation, acts as a primary cause of maternal and neonatal morbidity and mortality. However, the cause of abnormal development of placenta remain poorly understood.Recently, it has been proposed that the genes that are differnetially expressed between PE and normal placenta tissues are associated with PE pathogenesis. To further elucidate the pathogenesis, we conducted transcriptional profiling of mRNA between PE and normal placenta tissues.
Project description:Fibrosis are known as one of the characteristic pathological findings of placenta in preeclampsia (PE). The mechanism underlying tissue injury when placental stroma is exposed to hypoxia and inflammatory stimulation is unclear. We focused on the relationship between pathogenesis of PE and placental fibrosis, and investigated the changes of fibrosis related factors (FRFs) in placental stroma. The mRNA levels of fibrosis related factors in PE were higher than those in normal pregnancy (NP). Those under hypoxia and by TGF-β stimulation were more prominent in PE compared with NP. The contraction rate of PE had significantly higher than that of NP. The significant elevation of plasma level of TGF-β in PE was indicated compared with those in NP.