The regulation of microRNA in each of cancer stage from two different ethnicities as potential biomarker for breast cancer

miRNA has recently emerged as a potential biomarker for breast cancer. Even though many studies have identified ethnic variation affecting miRNA regulation, the effect of cancer stage within specific ethnicities on miRNA epigenetic remains unclear. The present study is designed to investigate miRNA regulation from two distinct ethnicities in specific cancer stages (non-Hispanic white and non-Hispanic black) using the TCGA dataset. Differentially expressed miRNAs were calculated by using the edgeR package. miRNAs with the highest or lowest log fold Change from each cancer stage were selected as a potential biomarker. miRNA-gene interaction was analyzed by using spearman correlation analysis, CLUEGO, and DIANA-mirpath. The association of biomarker candidates with diagnostic and prognostic performance was assessed using ROC and Kaplan-Meier survival analysis. miRNA-gene interaction analysis revealed the involvement of selected miRNAs in cancer progression. From eleven selected aberrant miRNAs, four of the miRNAs (hsa-mir-495, hsa-mir-592, hsa-mir-6501, and hsa-mir-937) are significantly detrimental to breast cancer diagnosis and prognosis. Hence, our result provides valuable information to explore miRNA’s role in each cancer stage between non-Hispanic white and non-Hispanic black.     

Substrates and Cyclic Peptide Inhibitors of the Oligonucleotide-Activated Sirtuin 7**

The sirtuins are NAD⁺-dependent lysine deacylases, comprising seven isoforms (SIRT1–7) in humans, which are involved in the regulation of a plethora of biological processes, including gene expression and metabolism. The sirtuins share a common hydrolytic mechanism but display preferences for different ϵ-N-acyllysine substrates. SIRT7 deacetylates targets in nuclei and nucleoli but remains one of the lesser studied of the seven isoforms, in part due to a lack of chemical tools to specifically probe SIRT7 activity. Here we expressed SIRT7 and, using small-angle X-ray scattering, reveal SIRT7 to be a monomeric enzyme with a low degree of globular flexibility in solution. We developed a fluorogenic assay for investigation of the substrate preferences of SIRT7 and to evaluate compounds that modulate its activity. We report several mechanism-based SIRT7 inhibitors as well as de novo cyclic peptide inhibitors selected from mRNA-display library screening that exhibit selectivity for SIRT7 over other sirtuin isoforms, stabilize SIRT7 in cells, and cause an increase in the acetylation of H3 K18.     

Quantitative analysis of DNA methylation in the promoter region of the methylguanine‐O6‐DNA‐methyltransferase gene by COBRA and subsequent native capillary gel electrophoresis

Along with histone modifications, RNA interference and delayed replication timing, DNA methylation belongs to the key processes in epigenetic regulation of gene expression. Therefore, reliable information about the methylation level of particular DNA fragments is of major interest. Herein the methylation level at two positions of the promoter region of the gene methylguanine‐O⁶‐DNA‐Methyltransferase (MGMT) was investigated. Previously, it was demonstrated that the epigenetic status of this DNA region correlates with response to alkylating anticancer agents. An automated CGE method with LIF detection was established to separate the six DNA fragments resulting from combined bisulfite restriction analysis of the methylated and non‐methylated MGMT promoter. In COBRA, the DNA was treated with bisulfite converting cytosine into uracil. During PCR uracil pairs with adenine, which changes the original recognition site of the restriction enzyme Taql. Artificial probes generated by mixing appropriate amounts of DNA after bisulfite treatment and PCR amplification were used for validation of the method. The methylation levels of these samples could be determined with high accuracy and precision. DNA samples prepared by mixing the corresponding clones first and then performing PCR amplification led to non‐linear correlation between the corrected peak areas and the methylation levels. This effect is explained by slightly different PCR amplification of DNA with different sequences present in the mixture. The superiority of CGE over PAGE was clearly demonstrated. Finally, the established method was used to analyze the methylation levels of human brain tumor tissue samples.     

Structure-based design of conformationally constrained cyclic peptidomimetics to target the MLL1-WDR5 protein–protein interaction as inhibitors of the MLL1 methyltransferase activity

We described herein structure-based design,synthesis and evaluation of conformationally constrained,cyclic peptidomimetics to block the MLL1-WDR5 protein–protein interaction as inhibitors of the MLL1 histone methyltransferase activity.Our study has yielded cyclic peptidomimetics with very high binding affinities to WDR5(Kivalues 1 nmol/L) and function as antagonists of the MLL1 histone methyltransferase activity.     

Development of a body fluid identification multiplex via DNA methylation analysis

The goal of this study is to develop an epigenetic multiplex for body fluid identification based on tissue specific DNA methylation. A series of genetic loci capable of discerning the origin of DNA as coming from saliva, blood, vaginal epithelia, or semen were used for this application. The markers – BCAS4, CG06379435, VE_8, and ZC3H12D – were amplified together and then sequenced via pyrosequencing. Methylation values for cytosine guanine dinucleotide (CpG) sites at each locus were then measured across the four markers. In total, 124 samples were collected, and bisulfite modified to convert unmethylated DNA to uracil. This converted DNA was then amplified via multiplex PCR with reverse primers containing a biotin molecule. Biotinylated PCR products were then analyzed using pyrosequencing to generate a series of pyrograms containing 18 CpG sites. The percent methylation at each CpG site was determined, and then agglomerative hierarchical cluster analysis was used to create a model to indicate sample origin. Further analysis reduced the number of CpG sites required for optimal determination of body fluid type to five. This study demonstrates an efficient multiplexed body fluid identification process utilizing DNA methylation that can be easily implemented in forensic laboratories.     

DEEPAligner: Deep encoding of pathways to align epigenetic signatures

Background and objectiveRecently, differential DNA Methylation is known to affect the regulatory mechanism of biological pathways. A pathway encompasses a set of interacting genes or gene products that altogether perform a given biological function. Pathways often encode strong methylation signatures that are capable of distinguishing biologically distinct subtypes. Even though Next Generation Sequencing techniques such as MeDIP-seq and MBD-isolated genome sequencing (MiGS) allow for genome-wide identification of clinical and biological subtypes, there is a pressing need for computational methods to compare epigenetic signatures across pathways.MethodsA novel alignment method, called DEEPAligner (Deep Encoded Epigenetic Pathway Aligner), is proposed in this paper that finds functionally consistent and topologically sound alignments of epigenetic signatures from pathway networks. A deep embedding framework is used to obtain epigenetic signatures from pathways which are then aligned for functional consistency and local topological similarity.ResultsExperiments on four benchmark cancer datasets reveal epigenetic signatures that are conserved in cancer-specific and across-cancer subtypes.ConclusionThe proposed deep embedding framework obtains highly coherent signatures that are aligned for biological as well as structural orthology. Comparison with state-of-the-art network alignment methods clearly suggest that the proposed method obtains topologically and functionally more consistent alignments.Availabilityhttp://bdbl.nitc.ac.in/DEEPAligner     

Mechanistic study on DNA mutation of the cytosine methylation reaction at C5 position

DNA methylation is a crucial epigenetic mark connected to conventionally changing the DNA bases, typically by adding methyl groups into DNA bases. Methylation of cytosine at the C5 position (5-methylcytosine) occurs mostly in the context of cytosine-phosphate-guanine dinucleotides, the methylation of which has important impacts on gene regulation and expression. However, the mechanistic details of this reaction are still debatable concerning the concertedness of the key reaction steps and the roles played by the base that abstracts the proton in the β-elimination and water molecules at the active site. To gain a deeper insight into the formation of 5-mehtylcytosine, an extensive density functional theory (DFT) study was performed with the B3LYP functional in conjunction with different basis sets. Our study has clearly established the mechanistic details of this methylation approach, based on which the roles of conserved active site residues, such as glutamic acid and waters, are well understood. Our results show that the reaction of 5-methylcytosine follows a concerted mechanism in which water molecules are critically involved. Moreover, arginine and alanine give more significant catalytic effects than glutamic acid on the 5-methylcytosine process. Considering the effect of Alanine, Arginine, and one water bridging molecule, the activation energy is 31 kJ mol^?1 calculated at B3LYP/6-31G(d) level of theory.