Developmental patterns of chromatin structure and DNA methylation responsible for epigenetic expression of a maize regulatory gene

Epigenetic regulatory mechanisms heritably alter patterns of gene expression without changes in DNA sequence. Epigenetic states are often correlated with developmentally imposed alterations in genomic DNA methylation and local chromatin structure. Pl-Blotched is a stable epigenetic allele of the maize anthocyanin regulatory gene, purple plant1(pl). Pl-Blotched plants display a variegated pattern of pigmentation that contrasts sharply with the uniformly dark purple pigmentation of plants carrying the dominant Pl-Rhoades allele. Previously, we showed that the lower level of pigmentation in Pl-Blotched is correlated with lower pl mRNA levels and increased DNA methylation at some sites. To explore how DNA methylation, chromatin structure, and developmental stage might contribute to the expression of Pl-Blotched, we used methylation-sensitive restriction enzymes and DNaseI sensitivity assays to compare the methylation status and chromatin structure of Pl-Blotched and Pl-Rhoades at different stages in development. Both alleles exhibit developmentally sensitive changes in methylation. In Pl-Blotched, methylation of two diagnostic HpaII/MspI sites increases progressively, coincident with the juvenile-to-adult transition in growth. In seedlings, the chromatin encompassing the coding region of the gene is less sensitive to DNaseI digestion in Pl-Blotched than in Pl-Rhoades. Developmental maturation from seedling to adult is accompanied by expansion of this closed chromatin domain to include the promoter and downstream flanking sequences. We provide evidence to show that chromatin structure, rather than DNA methylation, is the primary epigenetic determinant for the phenotypic differences between Pl-Blotched and Pl-Rhoades.     

Integrative analyses of genes associated with idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF), characterized by irreversible scarring and progressive destruction of the lung tissue, is one of the most common types of idiopathic interstitial pneumonia worldwide. However, there are no reliable candidates for curative therapies. Hence, elucidation of the mechanisms of IPF genesis and exploration of potential biomarkers and prognostic indicators are essential for accurate diagnosis and treatment of IPF. Recently, efficient microarray and bioinformatics analyses have promoted an understanding of the molecular mechanisms of disease occurrence and development, which is necessary to explore genetic alternations and identify potential diagnostic biomarkers. However, high false-positive rates results have been observed based on single microarray datasets. In the current study, we performed a comprehensive analysis of the differential expression, biological functions, and interactions of IPF-related genes. Three publicly available microarray datasets including 54 IPF samples and 34 normal samples were integrated by performing gene set enrichment analysis and analyzing differentially expressed genes (DEGs). Our results identified 350 DEGs genetically associated with IPF. Gene ontology analyses revealed that the changes in the modules were mostly enriched in the positive regulation of smooth muscle cell proliferation, positive regulation of inflammatory responses, and the extracellular space. Kyoto encyclopedia of genes and genomes enrichment analysis of DEGs revealed that IPF involves the TNF signaling pathway, NOD-like receptor signaling pathway, and PPAR signaling pathway. To identify key genes related to IPF in the protein-protein interaction network, 20 hub genes were screened out with highest scores. Our results provided a framework for developing new pathological molecular networks related to specific diseases in silico.     

DNA methylation and gene expression profiles characterize epigenetic regulation of lncRNAs in colon adenocarcinoma

The long noncoding RNAs (lncRNAs) are associated with tumorigenesis and progression of cancer. While DNA methylation is a common epigenetic regulator of gene expression, the methylation of lncRNAs was rarely studied. To address this gap, we integrated DNA methylation and RNA-seq data to characterize the landscape of lncRNA methylation in colon adenocarcinoma (COAD). We collected and analyzed the lncRNA expression and methylation data from The Cancer Genome Atlas and Cancer Cell Line Encyclopedia to identify the epigenetically regulated lncRNAs. We further investigated the biological and clinical relevance of the identified lncRNAs via bioinformatics analysis. We identified 20 epigenetically upregulated lncRNAs in COAD, including several well-studied lncRNAs whose methylation regulation were poorly investigated, such as PVT1 and UCA1. We also revealed several novel tumor-associated lncRNAs in COAD, including GATA2-As1 and CYTOR. Next, we explored their biology function using gene set enrichment analysis and competitive endogenous RNA analysis. We characterized the methylation landscape of lncRNA in COAD and identified 20 epigenetically upregulated lncRNAs. Our findings will shed new light on the epigenetic regulation of lncRNA expression by DNA methylation.     

Allele-specific DNA methylation analyses associated with siRNAs in Arabidopsis hybrids

Accumulating evidence has suggested that epigenetic marks including DNA methylation,small RNA and histone modification may involve hybrid vigor in plants.However,knowledge about how epigenetic marks in hybrids regulate gene expression is still limited.Based on genome-wide DNA methylation landscapes of Arabidopsis thaliana Ler and C24 ecotypes and their reciprocal F1 hybrids which were obtained in our previous work,we analyzed allele-specific DNA methylation and distinguished cis-and trans-regulated DNA methylation in hybrids.Our study indicated that both cis-and trans-regulated DNA methylation played roles in hybrids,when cis-regulation played a major role in CG methylation and trans-regulation played major roles in CHG and CHH methylation.In addition,we observed correlations between trans-regulated DNA methylation and siRNA densities.Enriched siRNA regions were significantly concurrent with highly trans-regulated DNA methylation regions.Our results illustrated DNA methylation regulation patterns integrated with siRNAs in Arabidopsis hybrids,and shed light on understanding the mechanism of epigenetic reprogramming for hybrid vigor.     

DNA methylation as a regulatory mechanism in rat gamma-crystallin gene expression.

We have investigated the methylation state of the rat gamma-crystallin genes in DNA from lens cells at different developmental stages as well as from kidney and heart cells. A clear correlation between the extent of demethylation of the promoter and 5' gene regions and the expression of these genes was observed. No change in the methylation state of the far upstream or 3' regions of the genes was seen. The demethylation of the promoter region was shown to occur during the differentiation from the lens epithelial to the lens fiber cell. The effect of cytosine methylation on gamma-crystallin promoter activity was tested by measuring gamma-crystallin promoter/chloramphenicol acetyltransferase fusion gene expression after in vitro primed repair synthesis of the promoter region in the presence of either dCTP or 5mdCTP. The hemimethylated promoter was no longer capable of promoting high CAT activity after introduction into lens-like cells. Taken together, our data suggest that DNA demethylation may be the determining step in the developmental stage-specific expression of the rat gamma-crystallin genes.     

Cell-specific epigenetic regulation of ChM-I gene expression: crosstalk between DNA methylation and histone acetylation

The expression of the chondromodulin-I (ChM-I) gene, a cartilage-specific gene, is regulated by the binding of Sp3 to the core promoter region, which is inhibited by the methylation of CpG in the target genome in the osteogenic lineage, osteosarcoma (OS) cells. The histone tails associated with the hypermethylated promoter region of the ChM-I gene were deacetylated by histone deacetylase 2 (HDAC2) in three ChM-I-negative OS cell lines. Treatment with an HDAC inhibitor induced the binding of Sp3 in one cell line, which became ChM-I-positive. This process was associated with acetylation instead of the dimethylation of histone H3 at lysine 9 (H3-K9) and, surprisingly, the demethylation of the core promoter region. The demethylation was transient, and gradually replaced by methylation after a rapid recovery of histone deacetylaion. These results represent an example of the plasticity of differentiation being regulated by the cell-specific plasticity of epigenetic regulation.     

The expression of phytohemagglutinin genes in Phaseolus vulgaris is associated with organ-specific DNA methylation patterns

Using methylation sensitive restriction enzymes and DNA gel blot analyses, we have examined DNA methylation patterns at the chromosomal locus harboring the two phytohemagglutinin genes of Phaseolus vulgaris. In cotyledons, where the genes are highly expressed, several sites have become undermethylated, whereas the methylation status of other sites remains constant, both in cotyledons and in other organs. Taken together with measurements of mRNA levels, these studies provide evidence that organ-specific changes in DNA methylation patterns are associated with the organ-specific expression of nuclear genes in a dicotyledonous plant.     

Integrative pathway-based survival prediction utilizing the interaction between gene expression and DNA methylation in breast cancer

Background

Integrative analysis on multi-omics data has gained much attention recently. To investigate the interactive effect of gene expression and DNA methylation on cancer, we propose a directed random walk-based approach on an integrated gene-gene graph that is guided by pathway information.

Methods

Our approach first extracts a single pathway profile matrix out of the gene expression and DNA methylation data by performing the random walk over the integrated graph. We then apply a denoising autoencoder to the pathway profile to further identify important pathway features and genes. The extracted features are validated in the survival prediction task for breast cancer patients.

Results

The results show that the proposed method substantially improves the survival prediction performance compared to that of other pathway-based prediction methods, revealing that the combined effect of gene expression and methylation data is well reflected in the integrated gene-gene graph combined with pathway information. Furthermore, we show that our joint analysis on the methylation features and gene expression profile identifies cancer-specific pathways with genes related to breast cancer.

Conclusions

In this study, we proposed a DRW-based method on an integrated gene-gene graph with expression and methylation profiles in order to utilize the interactions between them. The results showed that the constructed integrated gene-gene graph can successfully reflect the combined effect of methylation features on gene expression profiles. We also found that the selected features by DA can effectively extract topologically important pathways and genes specifically related to breast cancer.

     

Combining gene expression and genetic analyses to identify candidate genes involved in cold responses in pea

Cold stress affects plant growth and development. In order to better understand the responses to cold (chilling or freezing tolerance), we used two contrasted pea lines. Following a chilling period, the Champagne line becomes tolerant to frost whereas the Terese line remains sensitive.