Project description:To determine differential expression of microRNAs in placentae with severe pre-eclampsia and normal placenta. Differential expression of microRNAs in placentae (4 severe pre-eclampsia and 4 normal control) was screened by microarray platform, then some differential microRNAs were selected and validated with real-time quantitative reverse transcription polymerase chain reaction in placentae of severe pre-eclampsia (n=24) and normal control group (n=26). Results: We validated the expression of some microRNAs altered in the microarray, and found the following microRNAs were significantly increased in severe pre-eclampsia placentae: miR-16, miR-29b, miR-195, miR-26b, miR-181a, miR-335 and miR-222. Conclusion: These differential microRNAs may play an important role in pathogenesis of pre-eclampsia. We analyzed the microRNA expression in the placentae of Chinese patients with severe pre-eclampsia.
Project description:To determine differential expression of microRNAs in placentae with severe pre-eclampsia and normal placenta. Differential expression of microRNAs in placentae (4 severe pre-eclampsia and 4 normal control) was screened by microarray platform, then some differential microRNAs were selected and validated with real-time quantitative reverse transcription polymerase chain reaction in placentae of severe pre-eclampsia (n=24) and normal control group (n=26). Results: We validated the expression of some microRNAs altered in the microarray, and found the following microRNAs were significantly increased in severe pre-eclampsia placentae: miR-16, miR-29b, miR-195, miR-26b, miR-181a, miR-335 and miR-222. Conclusion: These differential microRNAs may play an important role in pathogenesis of pre-eclampsia.
Project description:We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes) whose expression depends on gestational age. STUDY DESIGN: We compared gene expression profiles of 1st (45-59 days) and 2nd trimester (109-115 days), and C-section term placentae. RESULTS: In 1st trimester placentae, genes related to cell cycle, DNA, aminoacids and carbohydrate metabolism were significantly overrepresented, while genes related to signal transduction were downregulated. In the organism defense category, we identified genes involved in chemical response, metabolism, and transport. Analysis of signal transduction pathways suggested, and subsequently confirmed independently, that the Wnt pathway was regulated by gestational age. CONCLUSIONS: Our study will serve as a reference database to gain insight into the regulation of gene expression in the developing placentae and, thus, allow comparisons with placentae from complicated pregnancies such as those in women experiencing gestational diabetes, pre-eclampsia and teratogenic sequelae. Experiment Overall Design: Comparison of plaental gene expression profiles of three gestational stages (1st trimester (45-59 days), 2nd trimester (109-115 days), and C-section term placentae), with four replicates each,
Project description:Hypertensive disorders in pregnancy, of which the multisystem syndrome pre-eclampsia is the most severe, leading to preterm delivery, maternal mortality, and life-long complications. To elucidate early disease dynamics, we present the first spatio-temporal study comparing single-nuclei transcriptomes of human preterm pre-eclamptic placentae and healthy controls, contextualizing this in a comprehensive study including early and late gestational placentae. This study includes early placentae samples from the fetal part (villi; n=10), maternal part (Decidua; n=3), late placentae samples from healthy pregnancies, villi (n=6), decidua (n=4), and late placentae samples from early-onset preeclamptic pregnancies, villi (n=5) and decidua (n=5).
Project description:We used a whole genome approach to identify major functional gene categories (including xenobiotic transporters and metabolizing enzymes) whose expression depends on gestational age. STUDY DESIGN: We compared gene expression profiles of 1st (45-59 days) and 2nd trimester (109-115 days), and C-section term placentae. RESULTS: In 1st trimester placentae, genes related to cell cycle, DNA, aminoacids and carbohydrate metabolism were significantly overrepresented, while genes related to signal transduction were downregulated. In the organism defense category, we identified genes involved in chemical response, metabolism, and transport. Analysis of signal transduction pathways suggested, and subsequently confirmed independently, that the Wnt pathway was regulated by gestational age. CONCLUSIONS: Our study will serve as a reference database to gain insight into the regulation of gene expression in the developing placentae and, thus, allow comparisons with placentae from complicated pregnancies such as those in women experiencing gestational diabetes, pre-eclampsia and teratogenic sequelae. Keywords: time series
Project description:Transcriptional profiling of Homo sapiens inflammatory skin diseases (whole skin biospies): Psoriasis (Pso), vs Atopic Dermatitis (AD) vs Lichen planus (Li), vs Contact Eczema (KE), vs Healthy control (KO) In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation. In recent years, different genes and proteins have been highlighted as potential biomarkers for psoriasis, one of the most common inflammatory skin diseases worldwide. However, most of these markers are not psoriasis-specific but also found in other inflammatory disorders. We performed an unsupervised cluster analysis of gene expression profiles in 150 psoriasis patients and other inflammatory skin diseases (atopic dermatitis, lichen planus, contact eczema, and healthy controls). We identified a cluster of IL-17/TNFα-associated genes specifically expressed in psoriasis, among which IL-36γ was the most outstanding marker. In subsequent immunohistological analyses IL-36γ was confirmed to be expressed in psoriasis lesions only. IL-36γ peripheral blood serum levels were found to be closely associated with disease activity, and they decreased after anti-TNFα-treatment. Furthermore, IL-36γ immunohistochemistry was found to be a helpful marker in the histological differential diagnosis between psoriasis and eczema in diagnostically challenging cases. These features highlight IL-36γ as a valuable biomarker in psoriasis patients, both for diagnostic purposes and measurement of disease activity during the clinical course. Furthermore, IL-36γ might also provide a future drug target, due to its potential amplifier role in TNFα- and IL-17 pathways in psoriatic skin inflammation.
Project description:Pre-eclampsia is one of the most serious pregnancy-associated disorders, and is defined by hypertension (systolic blood pressure higher than 140mmHg or diastolic blood pressure higher than 90mmHg) with proteinuria (more than 0.3g/day). It is not a simple complication of pregnancy, but is rather a syndrome of multiple organ failure involving the liver, kidney, and lung, as well as coagulatory and neural systems. There is now an emerging consensus that pre-eclampsia is a complex polygenetic trait in which maternal and fetal genes, as well as environmental factors, are involved, although the precise mechanism of the disorder has remained elusive. In this study, we have performed gene expression profiling to further elucidate the mechanisms underlying the development of the pre-eclamptic condition. We thus compared the expression profiles in placentas from women who underwent a normal pregnancy and from women suffering from severe pre-eclampsia. In addition, we compared the expression data between the early and late onset forms of pre-eclampsia and obtained a number of potential new prognostic biomarkers for this disease. Experiment Overall Design: Placental biopsies were obtained during Caesarean section from both normotensive patients and from those with pre-eclampsia (n = 14) (early onset type; earlier than 31 weeks gestation, n = 6 and late onset type; 31 weeks gestation or later, n = 8). Pre-eclampsia was defined as a blood pressure of higher than 160/110 mmHg, with proteinuria of more than 2g in a 24 hour collection. The expression profiles of approximately 47,669 genes were analyzed using a Whole Human Genome Oligo Microarray Kit (Agilent Technologies). A total of 10 placentas from women with pre-eclampsia and four from normal subjects were used in the hybridizations. Reverse transcription labeling and hybridization was performed using the protocol recommended by the manufacturer. The microarray experiments were then carried out using competitive hybridization experiments with Cy3 and Cy5-labeled targets; one with test placental RNAs from patients or normal control subjects, and another using pooled normal placental RNA as a template control for normalization. The glass slides were scanned using an Agilent G2565BA microarray scanner. Scanned images were then analyzed using Feature Extraction software. The average signal intensities were corrected for median background intensity and transferred with GenBank descriptors to a Microsoft Excel data spreadsheet (Microsoft, Redmond, WA). Data analysis was performed using Genespring software version 6.1 (Silicon Genetics, Redwood City, CA). After intensity dependent normalization (Lowess), the expression levels relative to the control were calculated as a ratio, and the expression profiles were then compared between each pre-eclamptic or normal sample.
Project description:Pre-eclampsia is one of the most serious pregnancy-associated disorders, and is defined by hypertension (systolic blood pressure higher than 140mmHg or diastolic blood pressure higher than 90mmHg) with proteinuria (more than 0.3g/day). It is not a simple complication of pregnancy, but is rather a syndrome of multiple organ failure involving the liver, kidney, and lung, as well as coagulatory and neural systems. There is now an emerging consensus that pre-eclampsia is a complex polygenetic trait in which maternal and fetal genes, as well as environmental factors, are involved, although the precise mechanism of the disorder has remained elusive. In this study, we have performed gene expression profiling to further elucidate the mechanisms underlying the development of the pre-eclamptic condition. We thus compared the expression profiles in placentas from women who underwent a normal pregnancy and from women suffering from severe pre-eclampsia. In addition, we compared the expression data between the early and late onset forms of pre-eclampsia and obtained a number of potential new prognostic biomarkers for this disease. Keywords: disease state analysis
Project description:Kynureninase is a member of a large family of catalytically diverse but structurally homologous pyridoxal 5'-phosphate (PLP) dependent enzymes known as the aspartate aminotransferase superfamily or alpha-family. The Homo sapiens and other eukaryotic constitutive kynureninases preferentially catalyze the hydrolytic cleavage of 3-hydroxy-l-kynurenine to produce 3-hydroxyanthranilate and l-alanine, while l-kynurenine is the substrate of many prokaryotic inducible kynureninases. The human enzyme was cloned with an N-terminal hexahistidine tag, expressed, and purified from a bacterial expression system using Ni metal ion affinity chromatography. Kinetic characterization of the recombinant enzyme reveals classic Michaelis-Menten behavior, with a Km of 28.3 +/- 1.9 microM and a specific activity of 1.75 micromol min-1 mg-1 for 3-hydroxy-dl-kynurenine. Crystals of recombinant kynureninase that diffracted to 2.0 A were obtained, and the atomic structure of the PLP-bound holoenzyme was determined by molecular replacement using the Pseudomonas fluorescens kynureninase structure (PDB entry 1qz9) as the phasing model. A structural superposition with the P. fluorescens kynureninase revealed that these two structures resemble the "open" and "closed" conformations of aspartate aminotransferase. The comparison illustrates the dynamic nature of these proteins' small domains and reveals a role for Arg-434 similar to its role in other AAT alpha-family members. Docking of 3-hydroxy-l-kynurenine into the human kynureninase active site suggests that Asn-333 and His-102 are involved in substrate binding and molecular discrimination between inducible and constitutive kynureninase substrates.