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      Differentially Expressed Genes in the Pre-Eclamptic Placenta: A Systematic Review and Meta-Analysis

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          Abstract

          Objective

          To systematically review the literature on human gene expression data of placental tissue in pre-eclampsia and to characterize a meta-signature of differentially expressed genes in order to identify novel putative diagnostic markers.

          Data Sources

          Medline through 11 February 2011 using MeSH terms and keywords related to placenta, gene expression and gene expression arrays; GEO database using the term “placent*”; and reference lists of eligible primary studies, without constraints.

          Methods

          From 1068 studies retrieved from the search, we included original publications that had performed gene expression array analyses of placental tissue in the third trimester and that reported on differentially expressed genes in pre-eclampsia versus normotensive controls. Two reviewers independently identified eligible studies, extracted descriptive and gene expression data and assessed study quality. Using a vote-counting method based on a comparative meta-profiling algorithm, we determined a meta-signature that characterizes the significant intersection of differentially expressed genes from the collection of independent gene signatures.

          Results

          We identified 33 eligible gene expression array studies of placental tissue in the 3 rd trimester comprising 30 datasets on mRNA expression and 4 datasets on microRNA expression. The pre-eclamptic placental meta-signature consisted of 40 annotated gene transcripts and 17 microRNAs. At least half of the mRNA transcripts encode a protein that is secreted from the cell and could potentially serve as a biomarker.

          Conclusions

          In addition to well-known and validated genes, we identified 14 transcripts not reported previously in relation to pre-eclampsia of which the majority is also expressed in the 1 st trimester placenta, and three encode a secreted protein.

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          Most cited references46

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          Gene silencing by microRNAs: contributions of translational repression and mRNA decay.

          Despite their widespread roles as regulators of gene expression, important questions remain about target regulation by microRNAs. Animal microRNAs were originally thought to repress target translation, with little or no influence on mRNA abundance, whereas the reverse was thought to be true in plants. Now, however, it is clear that microRNAs can induce mRNA degradation in animals and, conversely, translational repression in plants. Recent studies have made important advances in elucidating the relative contributions of these two different modes of target regulation by microRNAs. They have also shed light on the specific mechanisms of target silencing, which, although it differs fundamentally between plants and animals, shares some common features between the two kingdoms.
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            Large-scale meta-analysis of cancer microarray data identifies common transcriptional profiles of neoplastic transformation and progression.

            Many studies have used DNA microarrays to identify the gene expression signatures of human cancer, yet the critical features of these often unmanageably large signatures remain elusive. To address this, we developed a statistical method, comparative metaprofiling, which identifies and assesses the intersection of multiple gene expression signatures from a diverse collection of microarray data sets. We collected and analyzed 40 published cancer microarray data sets, comprising 38 million gene expression measurements from >3,700 cancer samples. From this, we characterized a common transcriptional profile that is universally activated in most cancer types relative to the normal tissues from which they arose, likely reflecting essential transcriptional features of neoplastic transformation. In addition, we characterized a transcriptional profile that is commonly activated in various types of undifferentiated cancer, suggesting common molecular mechanisms by which cancer cells progress and avoid differentiation. Finally, we validated these transcriptional profiles on independent data sets.
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              • Record: found
              • Abstract: not found
              • Article: not found

              Placental origins of preeclampsia: challenging the current hypothesis.

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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2013
                12 July 2013
                : 8
                : 7
                : e68991
                Affiliations
                [1 ]Women’s and Children’s Clinic, Department of Obstetrics, Academic Medical Center, Amsterdam, The Netherlands
                [2 ]Reproductive Biology Laboratory, Academic Medical Center, Amsterdam, The Netherlands
                [3 ]Bioinformatics Laboratory, Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, Amsterdam, The Netherlands
                VU University Medical Center, The Netherlands
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: JAMvdP GBA. Performed the experiments: CEK MvU GBA. Analyzed the data: MvU PM CRS GBA. Contributed reagents/materials/analysis tools: MvU PM. Wrote the paper: CEK MvU PM CRS JAMvdP GBA.

                Article
                PONE-D-13-12477
                10.1371/journal.pone.0068991
                3709893
                23874842
                d3f5ae27-21c7-47c1-add5-801dbe195486
                Copyright @ 2013

                This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 26 March 2013
                : 4 June 2013
                Page count
                Pages: 9
                Funding
                C. Emily Kleinrouweler is supported by a PhD Scholarship from the AMC Graduate School. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genetics
                Gene Expression
                Genomics
                Genome Analysis Tools
                Transcriptomes
                Molecular Cell Biology
                Gene Expression
                Mathematics
                Statistics
                Biostatistics
                Medicine
                Clinical Research Design
                Meta-Analyses
                Systematic Reviews
                Obstetrics and Gynecology
                Pregnancy
                Hypertensive Disorders in Pregnancy
                Pregnancy Complications

                Uncategorized
                Uncategorized

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