Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA152223 | ENA |
REPOSITORIES: ENA
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Project description:The placenta plays an important role as a regulator of fetal nutrition and growth throughout development and placental factors contribute to gestational abnormalities such as preeclampsia. This study describes the genome-wide gene expression profiles of a large (n=94) set of human placentas in order to uncover gene expression patterns (or molecular signatures) associated with preeclampsia and IUGR. Besides modulated modularity clustering and pathway analysis, a set of candidate miRNAs were predicted by Gene Set Enrichment Analysis (GSEA) based on differentially expressed genes. A case-control study was conducted to examine the expression patterns of these candidate miRNAs in human placentas 35 IUGR (including 8 technical repeats for batch effect), 19 preeclamptic and 40 control placentas included in this study were collected during the years of 2004-2008 and hybridized in two batches to microarrays. Samples were randomized across arrays to control for array and batch variability.
2012-02-07 | E-GEOD-35574 | biostudies-arrayexpress
Project description:The placenta plays an important role as a regulator of fetal nutrition and growth throughout development and placental factors contribute to gestational abnormalities such as preeclampsia. This study describes the genome-wide gene expression profiles of a large (n=94) set of human placentas in order to uncover gene expression patterns (or molecular signatures) associated with preeclampsia and IUGR. Besides modulated modularity clustering and pathway analysis, a set of candidate miRNAs were predicted by Gene Set Enrichment Analysis (GSEA) based on differentially expressed genes. A case-control study was conducted to examine the expression patterns of these candidate miRNAs in human placentas
2012-02-07 | GSE35574 | GEO
Project description:Intrauterine growth restriction (IUGR) represents a major obstetric challenge with perinatal complications and a risk factor of developing disease in adult life. Placental insufficiency is one of the common features accompanying IUGR. The aim of this study was to evaluate global placental gene expression profile in IUGR compared to normal pregnancies. Placental samples were collected by eight IUGR pregnancies with placental insufficiency ascertained by Doppler and eight healthy controls. A 30K Human Genome Survey Microarray v.2.0 (Applied Biosystems) was used to evaluate global gene expression profile. Principal component analysis showed good separation in terms of gene expression patterns between the groups. Pathway analysis with Bonferroni correction for multiple testing showed significant (p<0.05) up-regulation of inflammation mediated by chemokine and cytokine signalling pathway in the IUGR placentas. Genes involved in metabolism of glucocorticoids (HSD11B1 and DHRS2) were found differentially expressed. We found no imprinted genes to be differentially expressed and only one gene involved in epigenetic modifications (MBD3) to be down-regulated in the IUGR placentas, indicating that IUGR due to placental insufficiency is not associated to placental imprinting. Subgroup analysis between pure IUGR and IUGR with preeclampsia placentas showed only 27 differentially expressed genes suggesting common pathophysiology. Eight placental samples from normal human placenta compared to eight human placental samples from patients with intrauterine growth restrictions due to placental insufficiency
2008-08-01 | E-GEOD-12216 | biostudies-arrayexpress
Project description:To investigate the differentially expressed mRNAs and microRNAs in human placenta between early-onset preeclampsia (EO-PE) and preterm birth controls (PTB), next generation sequencing was performed in 5 paired EO-PE and PTB placentas.
2021-06-12 | GSE177049 | GEO
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.
2013-09-12 | E-GEOD-50783 | biostudies-arrayexpress
Project description:An important question for the use of the mouse as a model for studying human disease is the degree of functional conservation of genetic control pathways from human to mouse. The human placenta and mouse placenta show structural similarities but there has been no systematic attempt to assess their molecular similarities or differences. We built a comprehensive database of protein and microarray data for the highly vascular exchange region micro-dissected from the human and mouse placenta near-term. Abnormalities in this region are associated with two of the most common and serious complications of human pregnancy, maternal preeclampsia (PE) and fetal intrauterine growth restriction (IUGR), each disorder affecting ~5% of all pregnancies. To compare the gene expression patterns in the vascular exchange regions of the human (villus tree) and mouse (labyrinth) placenta. Keywords: comparison
2009-06-16 | GSE13155 | GEO
Project description:Preeclampsia (PE) and Intrauterine Growth Restriction (IUGR) are major contributor of perinatal morbility and mortality, these pregnancy disorders associated with placental ischemia and share many similar pathophysiological features. The aim of this study was to compare the placental gene expression profiles including mRNA and lnRNAs from pregnant women from four study groups; PE, IUGR, PE-IUGR and normal pregnancy (NP). Gene expression microarray analysis was performed on placental tissue obtained at the moment of delivery and results were validated using RTq-PCR. Differential gene expression analysis revealed that the largest transcript variation was observed in the IUGR samples compared to NP (n=461; 314 mRNAs: 252 up-regulated and 62 down-regulated) and 133 lncRNAs: 36 up-regulated and 98 down-regulated). We also detected a group of differentially expressed transcripts shared between the PE and IUGR samples compared to NP (n=39), including 9 lncRNAs with a high correlation degree (P <0.05). Functional enrichment of these shared transcripts showed that cytokine signaling pathways, protein modification and regulation of JAK-STAT cascade are over-represented in both placental ischemic diseases. These findings contribute to the molecular characterization of placental ischemia showing common epigenetic regulation implicated in the pathophysiology of preeclampsia and Intrauterine Growth Restriction
2020-05-31 | GSE147776 | GEO
Project description:Intrauterine growth restriction (IUGR) represents a major obstetric challenge with perinatal complications and a risk factor of developing disease in adult life. Placental insufficiency is one of the common features accompanying IUGR. The aim of this study was to evaluate global placental gene expression profile in IUGR compared to normal pregnancies. Placental samples were collected by eight IUGR pregnancies with placental insufficiency ascertained by Doppler and eight healthy controls. A 30K Human Genome Survey Microarray v.2.0 (Applied Biosystems) was used to evaluate global gene expression profile. Principal component analysis showed good separation in terms of gene expression patterns between the groups. Pathway analysis with Bonferroni correction for multiple testing showed significant (p<0.05) up-regulation of inflammation mediated by chemokine and cytokine signalling pathway in the IUGR placentas. Genes involved in metabolism of glucocorticoids (HSD11B1 and DHRS2) were found differentially expressed. We found no imprinted genes to be differentially expressed and only one gene involved in epigenetic modifications (MBD3) to be down-regulated in the IUGR placentas, indicating that IUGR due to placental insufficiency is not associated to placental imprinting. Subgroup analysis between pure IUGR and IUGR with preeclampsia placentas showed only 27 differentially expressed genes suggesting common pathophysiology.
2008-08-01 | GSE12216 | GEO
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.
2013-09-12 | GSE50783 | GEO
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.
2020-11-06 | GSE160888 | GEO