Epigenomics最新文献

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.

Aim: This study investigated the role of lncRNA LINC01232 in ferroptosis of colorectal cancer (CRC).Materials & methods: Real time quantitative polymerase chain reaction or western blot experiments were performed to examine relevant mRNAs and proteins expression. The kit assays evaluated malondialdehyde, iron, Fe²⁺ and glutathione levels. ROS levels were verified by flow cytometry. Chromatin immunoprecipitation and RNA immunoprecipitation analysis monitored the correlation among LINC01232, H3K27ac, p300 and ARNTL2.Results: LINC01232 or ARNTL2 knockdown facilitated erastin-induced ferroptosis. The interaction between LINC01232 and p300 resulted in the enhancement of H3K27ac levels at ARNTL2 promoter to promote ARNTL2 transcriptional activity. ARNTL2 overexpression reversed the promoting effect of LINC01232 knockdown on ferroptosis.Conclusion: LINC01232 inhibited the ferroptosis in CRC by epigenetically upregulating the transcriptional activity of ARNTL2.

Fetal exposures can induce epigenetic modifications, particularly DNA methylation, potentially predisposing individuals to later health issues. Cord blood (CB) DNA methylation provides a unique window into the fetal epigenome, reflecting the intrauterine environment's impact. Maternal factors, including nutrition, smoking and toxin exposure, can alter CB DNA methylation patterns, associated with conditions from obesity to neurodevelopmental disorders. These epigenetic changes underscore prenatal exposures' enduring effects on health trajectories. Technical challenges include tissue specificity issues, limited coverage of current methylation arrays and confounding factors like cell composition variability. Emerging technologies, such as single-cell sequencing, promise to overcome some of these limitations. Longitudinal studies are crucial to elucidate exposure-epigenome interactions and develop prevention strategies. Future research should address these challenges, advance public health initiatives to reduce teratogen exposure and consider ethical implications of epigenetic profiling. Progress in CB epigenetics research promises personalized medicine approaches, potentially transforming our understanding of developmental programming and offering novel interventions to promote lifelong health from the earliest stages of life.

Aim: To explore the specific histone acetylation sites and oxidative stress-related genes that are associated with the pathogenesis of manganese toxicity. Methods: We employed liquid chromatography-tandem mass spectrometry and bioinformatics analysis to identify acetylated proteins in the striatum of subchronic manganese-intoxicated rats. Results: We identified a total of 12 differentially modified histone acetylation sites: H3K9ac, H3K14ac, H3K18ac, H3K56ac and H3K79ac were upregulated and H3K27ac, H3K36ac, H4K91ac, H4K79ac, H4K31ac, H2BK16ac and H2BK20ac were downregulated. Additionally, we found that CAT, SOD1 and SOD2 might be epigenetically regulated and involved in the pathogenesis of manganism. Conclusion: This study identified histone acetylation sites and oxidative stress-related genes associated with the pathogenesis of manganese toxicity, and these findings are useful in the search for potential epigenetic targets for manganese toxicity.