| Literature DB >> 22641617 |
Asgeir Brevik1, Birgitte Lindeman, Vendula Rusnakova, Ann-Karin Olsen, Gunnar Brunborg, Nur Duale.
Abstract
The health of the offspring depends on the genetic constitution of the parental germ cells. The paternal genome appears to be important; e.g., de novo mutations in some genes seem to ariseEntities:
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Year: 2012 PMID: 22641617 PMCID: PMC3430208 DOI: 10.1093/toxsci/kfs187
Source DB: PubMed Journal: Toxicol Sci ISSN: 1096-0929 Impact factor: 4.849
FIG. 1.Unsupervised hierarchical clustering analysis of the relative expression of 51 genes after filtering and normalization of the data. The hierarchical clustering analysis is based on similarities in gene expression. Genes are coded according to their expression patterns (the expression scale spans from -6.0 to 4.5). Samples are horizontally labeled based on the developmental stage they belong to. Vertically, labeled genes indicate more than twofold significantly downregulated expression levels at the blastocyst stage. The covariance value was used as distance metric in this complete hierarchical linkage clustering analysis.
FIG. 2.Relative gene expression at various developmental stages for (A) genes involved in DNA damage repair; (B) genes involved in cell-cycle regulation; (C) genes involved in embryo development; and (D) genes involved in methylation and acetylation pathways. Expression in embryos of exposed fathers is shown relative to expression in control embryos.
Differentially Expressed Genes (Based on Twofold Cutoff Value) Between Control Embryos and Embryos of Exposed Fathers at Various Stages of Embryo Development
| Genes | 1 cell | 2 cell | 4 cell | 8 cell | Blastocyst |
|---|---|---|---|---|---|
|
| −0.5 | 0.9 | 0.7 | 0.7 | − |
|
| −0.5 | 0.3 | 0.3 |
| − |
|
| −0.9 | 0.6 | 0.1 |
| − |
|
| −0.5 | 0.1 | −0.1 | 0.3 | − |
|
| −0.4 | 0.6 | 0.4 | 0.0 | − |
|
| −0.2 | 0.2 | 0.2 | 0.6 | − |
|
| 0.4 | 0.7 | 0.0 |
| − |
|
| 0.5 | −0.2 | 0.3 |
| −0.4 |
|
| −0.2 | 0.9 | 0.4 | 0.3 | − |
|
| −0.6 | −0.5 | 0.3 |
| − |
|
| 0.2 | 0.4 | 0.0 | 0.2 | − |
|
| 0.5 | 0.5 | 0.9 | 0.7 | − |
|
| 0.3 | 0.1 | −0.1 | 0.5 | − |
|
| 0.1 | 0.1 | −0.1 | 0.2 | − |
|
| 0.6 | 0.6 | 0.2 | 0.6 | − |
|
| −0.1 | 0.2 | 0.5 | 0.2 | − |
|
| 0.3 | 0.0 | 0.2 | 0.3 | − |
|
|
| −0.6 | −0.1 | 0.8 | − |
Note. Bold values represent statistically significant up- and downregulated genes.
FIG. 3.miRNA-mRNA interaction network of 33 inversely correlated miRNA-mRNA pairs (19 miRNAs and 17 mRNAs). In this network, 16 out of 19 miRNAs (mmu-miR-133b, mmu-miR-138, mmu-miR-181d, mmu-miR-197, mmu-miR-210, mmu-miR-297c, mmu-miR-298, mmu-miR-30b, mmu-miR-455, mmu-miR-503, mmu-miR-532-3p, mmu-miR-665, mmu-miR-696, mmu-miR-709, mmu-miR-762 and mmu-miR-92a) were upregulated and the remaining three miRNAs (mmu-miR-1906, mmu-miR-204 and mmu-miR-669b) were downregulated, in previously determined of B[a]P dysregulated miRNAs (Brevik et al., 2012). These miRNAs are inversely correlated with the 17 mRNAs from this study. Connection lines represent miRNA-mRNA interaction; there are negative miRNA-mRNA pair correlation between the 16 upregulated miRNAs and downregulated mRNAs. There are also connection between genes, and inconsistently correlated miRNA-mRNA pairs.