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Differential placental gene expression in preeclampsia
Author(s) -
Enquobahrie Daniel A,
Meller Margaret,
Rice Kenneth,
Psaty Bruce M,
Siscovick David S,
Williams Michelle A
Publication year - 2008
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.22.1_supplement.1003.5
Subject(s) - candidate gene , gene , biology , dna microarray , microarray , genetics , gene expression , microarray analysis techniques , gene expression profiling , subfamily , computational biology , bioinformatics
Objective: Candidate genes associated with preeclampsia have not been fully described. We conducted a microarray study to investigate global placental gene expression in preeclampsia. Study design: Cases (n=18) and controls (n=18) were selected among patients receiving care at Swedish Medical Center, Seattle, WA. Oligonucleotide probes representing 22,000 genes were used to measure gene expression. Differentially expressed genes were selected using criteria based on Students T‐test, fold change and Significance Analysis of Microarrays (SAM) analysis. Functions and functional relationships of differentially expressed genes were evaluated using Database for Annotation, Visualization and Integrated Discovery (DAVID) and Ingenuity Pathway Analysis (IPA) tools. Results: Genes (n=58) participating in immune system, inflammation, oxidative stress, signaling, growth and development pathways were differentially expressed in preeclampsia. These genes include previously described candidate genes (such as leptin, LEP), potential candidate genes with related functions (such as cytochrome P450 family 11 subfamily A, CYP11A) and novel genes (such as cyclin‐dependent kinase inhibitor 1C, CDKN1C). Conclusion: Expression of genes (both candidate and novel) with diverse functions is associated with preeclampsia risk, reflecting the complex pathogenesis.