Epigenomics最新文献

miRNAs play a crucial therapeutic role in diseases such as cancer, diabetes and viral infections, with around 1900 identified in the human genome. Some have progressed to clinical trials, and miRNA mimics and miRNA inhibitors are pivotal therapeutic molecules undergoing evaluation. The review delves into various miRNA-associated clinical trials, emphasizing their precision in targeting specific genes, modulating disease pathways and diagnostic potential. This underscores the importance of miRNA therapy, foreseeing innovations in precision medicine techniques for diverse diseases. The future envisions improved delivery systems addressing challenges like immunogenicity and digestion, while a comprehensive miRNA-based omics database could guide the development of tailored antisense miRNAs, further advancing precision medicine strategies.

Background: Developmental language disorder (DLD) is a neurodevelopmental disorder. Considering the pivotal role of epigenetics in neurodevelopment, we examined any altered DNA methylation between DLD and control subjects. Materials & methods: We looked into genome-wide methylation differences between DLD and control groups. The findings were validated by quantitative PCR (qPCR). Results: In the DLD group, differential methylation of CpG sites was observed in the Wnt signaling regulator genes APCDD1, AMOTL1, LRP5, MARK2, TMEM64, TRABD2B, VEPH1 and WNT2B. Hypomethylation of APCDD1, LRP5 and WNT2B was confirmed by qPCR. Conclusion: This is the first report associating Wnt signaling with DLD. The findings are relevant in the light of the essential role of Wnt in myelination, and of the altered myelination in DLD.

Aim: Longevity accumulating in families has genetic and epigenetic components. To study early and unbiased epigenetic predictors of longevity prospectively, a birth cohort would be ideal. However, the original family longevity selection score (FLoSS) focuses on populations of elderly only.Methods: In the German birth cohort KUNO-Kids we assessed when information for such scores may be best collected and how to calculate an adapted FLoSS.Results: A total of 551 families contributed to adapted FLoSS, with a mean score of -0.15 (SD 2.33). Adapted FLoSS ≥7 as a marker of exceptional longevity occurred in 3.3% of families, comparable to original FLoSS in elderly.Conclusion: An adapted FLoSS from data collectable postnatally may be a feasible tool to study unbiased epigenetic predictors for longevity.

This study describes a protocol to assess a novel workflow called Epi-Genomic Newborn Screening (EpiGNs) on 100,000 infants from the state of Victoria, Australia. The workflow uses a first-tier screening approach called methylation-specific quantitative melt analysis (MS-QMA), followed by second and third tier testing including targeted methylation and copy number variation analyzes with droplet digital PCR, EpiTYPER system and low-coverage whole genome sequencing. EpiGNs utilizes only two 3.2 mm newborn blood spot punches to screen for genetic conditions, including fragile X syndrome, Prader-Willi syndrome, Angelman syndrome, Dup15q syndrome and sex chromosome aneuploidies. The program aims to: identify clinically actionable methylation screening thresholds for the first-tier screen and estimate prevalence for the conditions screened.

Aim: To explore precise function and underlying mechanism of circ_0006988 in gastric cancer (GC).Materials & methods: GC tissues were collected clinically, and GC cells were purchased from the company. Quantitative real-time polymerase chain reaction and western blot were used to detect mRNA and protein expression. Functional analysis was performed through CCK-8, Transwell and scratch experiment. Binding relationship was validated through dual luciferase reporter and RNA immunoprecipitation assays. HGC-27 cells were subcutaneously injected into mice to construct a xenograft tumor model.Results: In GC tissues and cells, circ_0006988 overexpressed, promoting proliferation, migration and invasion. MiRNA-92a-2-5p downregulation or TFAP4 overexpression weakened effects of circ_0006988 silencing on GC progression.Conclusion: circ_0006988 facilitates GC development through miRNA-92a-2-5p/TFAP4 axis.

Background: Bladder cancer and therapy responses hinge on immune profiles in the tumor microenvironment (TME) and blood, yet studies linking tumor-infiltrating immune cells to peripheral immune profiles are limited. Methods: DNA methylation cytometry quantified TME and matched peripheral blood immune cell proportions. With tumor immune profile data as the input, subjects were grouped by immune infiltration status and consensus clustering. Results: Immune hot and cold groups had different immune compositions in the TME but not in circulating blood. Two clusters of patients identified with consensus clustering had different immune compositions not only in the TME but also in blood. Conclusion: Detailed immune profiling via methylation cytometry reveals the significance of understanding tumor and systemic immune relationships in cancer patients.

Aim: We investigate the genome-wide DNA methylation (DNAm) patterns of term low birth weight (TLBW) neonates.Methods: In the discovery phase, we assayed 32 samples (TLBW/control:16/16) using the EPIC 850k BeadChip Array. Targeted pyrosequencing of in 60 samples (TLBW/control:28/32) using targeted pyrosequencing during the replication phase.Results: The 850K array identified TLBW-associated 144 differentially methylated positions (DMPs) and 149 DMRs. Nearly 77% DMPs exhibited hypomethylation, located in the opensea and gene body regions. The most significantly enriched pathway in KEGG is sphingolipid metabolism (hsa00600), and the genes GALC and SGMS1 related to this pathway both show hypomethylation.Conclusion: Our analysis provides evidence of genome-wide DNAm alterations in TLBW. Further investigations are needed to elucidate the functional significance of these DNAm changes.

DNA methylation (DNAm)-based deconvolution estimates contain relative data, forming a composition, that standard methods (testing directly on cell proportions) are ill-suited to handle. In this study we examined the performance of an alternative method, analysis of compositions of microbiomes (ANCOM), for the analysis of DNAm-based deconvolution estimates. We performed two different simulation studies comparing ANCOM to a standard approach (two sample t-test performed directly on cell proportions) and analyzed a real-world data from the Women's Health Initiative to evaluate the applicability of ANCOM to DNAm-based deconvolution estimates. Our findings indicate that ANCOM can effectively account for the compositional nature of DNAm-based deconvolution estimates. ANCOM adequately controls the false discovery rate while maintaining statistical power comparable to that of standard methods.