Literature DB >> 24125805

Analysis of differentially expressed genes in placental tissues of preeclampsia patients using microarray combined with the Connectivity Map database.

Y Song1, J Liu, S Huang, L Zhang.   

Abstract

Preeclampsia (PE), which affects 2-7% of human pregnancies, causes significant maternal and neonatal morbidity and mortality. To better understand the pathophysiology of PE, the gene expression profiles of placental tissue from 5 controls and 5 PE patients were assessed using microarray. A total of 224 transcripts were significantly differentially expressed (>2-fold change and q value <0.05, SAM software). Gene Ontology (GO) enrichment analysis indicated that genes involved in hypoxia and oxidative and reductive processes were significantly changed. Three differentially expressed genes (DEGs) involved in these biological processes were further verified by quantitative real-time PCR. Finally, the potential therapeutic agents for PE were explored via the Connectivity Map database. In conclusion, the data obtained in this study might provide clues to better understand the pathophysiology of PE and to identify potential therapeutic agents for PE patients.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Connectivity Map database; Expression profiles; Microarray; Preeclampsia

Mesh:

Substances:

Year:  2013        PMID: 24125805     DOI: 10.1016/j.placenta.2013.09.013

Source DB:  PubMed          Journal:  Placenta        ISSN: 0143-4004            Impact factor:   3.481


  8 in total

1.  Integrated Systems Biology Approach Identifies Novel Maternal and Placental Pathways of Preeclampsia.

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Journal:  Front Immunol       Date:  2018-08-08       Impact factor: 7.561

2.  Consensus strategy in genes prioritization and combined bioinformatics analysis for preeclampsia pathogenesis.

Authors:  Eduardo Tejera; Maykel Cruz-Monteagudo; Germán Burgos; María-Eugenia Sánchez; Aminael Sánchez-Rodríguez; Yunierkis Pérez-Castillo; Fernanda Borges; Maria Natália Dias Soeiro Cordeiro; César Paz-Y-Miño; Irene Rebelo
Journal:  BMC Med Genomics       Date:  2017-08-08       Impact factor: 3.063

3.  Weighted Gene Coexpression Network Analysis Identifies Key Genes and Pathways Associated with Idiopathic Pulmonary Fibrosis.

Authors:  Zheng Wang; Jie Zhu; Fengzhe Chen; Lixian Ma
Journal:  Med Sci Monit       Date:  2019-06-09

4.  An integrative bioinformatics analysis of microarray data for identifying hub genes as diagnostic biomarkers of preeclampsia.

Authors:  Keling Liu; Qingmei Fu; Yao Liu; Chenhong Wang
Journal:  Biosci Rep       Date:  2019-09-03       Impact factor: 3.840

5.  A Multi-Objective Approach for Drug Repurposing in Preeclampsia.

Authors:  Eduardo Tejera; Yunierkis Pérez-Castillo; Andrea Chamorro; Alejandro Cabrera-Andrade; Maria Eugenia Sanchez
Journal:  Molecules       Date:  2021-02-03       Impact factor: 4.411

6.  Collagen I Induces Preeclampsia-Like Symptoms by Suppressing Proliferation and Invasion of Trophoblasts.

Authors:  Yinglin Feng; Xia Chen; Huiqiao Wang; Xueping Chen; Zixin Lan; Pan Li; Yingshi Cao; Mian Liu; Jin Lv; Yun Chen; Yu Wang; Chao Sheng; Yingying Huang; Mei Zhong; Zhijian Wang; Xiaojing Yue; Liping Huang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-06       Impact factor: 5.555

Review 7.  Contributions of Artificial Intelligence Reported in Obstetrics and Gynecology Journals: Systematic Review.

Authors:  Ferdinand Dhombres; Jules Bonnard; Kévin Bailly; Paul Maurice; Aris T Papageorghiou; Jean-Marie Jouannic
Journal:  J Med Internet Res       Date:  2022-04-20       Impact factor: 7.076

Review 8.  Current approaches and developments in transcript profiling of the human placenta.

Authors:  Hannah E J Yong; Shiao-Yng Chan
Journal:  Hum Reprod Update       Date:  2020-11-01       Impact factor: 15.610

  8 in total

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