Dataset Information

Comprehensive Analysis of Quantitative Proteomics with DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy

ABSTRACT: In this study, we analyze protein expression in placenta of ICP and normal pregnancies via quantitative proteomics of data-independent acquisition (DIA). Our results showed that compared with normal placenta, the differentially expressed proteins in ICP were involved in autophagosome regulation. Among the top 24 differentially expressed proteins, HBG1, SPI1, HBG2, HBE1, FOXK1, KRT72, SLC13A3, MBD2, SP9, GPLD1, MYH7 and BLOC1S1 were associated with ICP development significantly, furthermore, MBD2, SPI1, FOXK1, SLC13A3 was regulated by multiple miRNAs and lncRNAs. On the whole, our study on ICP might provide potential drug targets to improve adverse pregnancy outcomes of ICP patients.

ORGANISM(S): Homo Sapiens

SUBMITTER: Huimin Xia

PROVIDER: PXD031472 | iProX | Mon Feb 07 00:00:00 GMT 2022

REPOSITORIES: iProX

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Comprehensive Analysis of Quantitative Proteomics With DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy.

Fang Dajun D Fang Yan Y Zhang Weiqiang W Xiang Yun Y Cheng Xi X Liang Mingfeng M Xia Huimin H

Frontiers in cell and developmental biology 20220722

<b>Background:</b> Intrahepatic cholestasis of pregnancy (ICP) is a pregnancy-specific complication characterized by pruritus without skin damage and jaundice. The poor perinatal outcomes include fetal distress, preterm birth, and unexpected intrauterine death. However, the mechanism of ICP leading to poor prognosis is still unclear. <b>Methods:</b> We analyzed 10 ICP and 10 normal placental specimens through quantitative proteomics of data-independent acquisition (DIA) to screen and identify di ...[more]

PMID: 35938169

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Project description:AIMS/HYPOTHESIS: Pregnancies complicated by diabetes have a higher risk of adverse outcomes for mothers and children, including predisposition to disease later in life, such as metabolic syndrome and hypertension. We hypothesized that adverse outcomes from diabetic pregnancies may be linked to compromised placental function. Our goal in this study was to identify cellular and molecular abnormalities in diabetic placenta. METHODS: Using a mouse model of diabetic pregnancy, placental gene expression was assayed at midgestation and cellular composition was analyzed at various stages. Genome-wide expression profiling was validated by quantitative PCR, and tissue localization studies were performed to identify cellular correlates of altered gene expression in diabetic placenta. RESULTS: We detected significantly altered gene expression in diabetic placenta for genes expressed in the maternal as well as those in the embryonic compartments. We also found altered cellular composition of the decidual compartment. Furthermore, the junctional and labyrinth layers were reduced in diabetic placenta, accompanied by aberrant differentiation of spongiotrophoblast cells. CONCLUSIONS/INTERPRETATION: Diabetes during pregnancy alters transcriptional profiles in the murine placenta, affecting cells of both embryonic and maternal origin, and involving several genes not previously implicated in diabetic pregnancies. The molecular changes and abnormal differentiation of multiple cell types precede impaired growth of junctional zone and labyrinth, and placenta overall. Whether these changes represent direct responses to hyperglycaemia or physiological adaptations, they are likely to play a role in pregnancy complications and outcomes, and have implications for developmental origins of adult disease. The STZ diabetic mouse model was used to investigate gene expression changes in diabetic placentae at E10.5. Placentae were dissected from 5 different FVB dams at embryonic day 10.5 under diabetic conditions and from 5 control dams. Gene expression profiles from five individual placentae from independent pregnancies per group were compared.

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.

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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.

Dataset Information

Comprehensive Analysis of Quantitative Proteomics with DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy

Publications

Comprehensive Analysis of Quantitative Proteomics With DIA Mass Spectrometry and ceRNA Network in Intrahepatic Cholestasis of Pregnancy.

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