Tumor antigen PRAME is a potential therapeutic target of p53 activation in melanoma cells.

Upregulation of PRAME (preferentially expressed antigen of melanoma) has been implicated in the progression of a variety of cancers, including melanoma. The tumor suppressor p53 is a transcriptional regulator that mediates cell cycle arrest and apoptosis in response to stress signals. Here, we report that PRAME is a novel repressive target of p53. This was supported by analysis of melanoma cell lines carrying wild-type p53 and human melanoma databases. mRNA expression of PRAME was downregulated by p53 overexpression and activation using DNA-damaging agents, but upregulated by p53 depletion. We identified a p53-responsive element (p53RE) in the promoter region of PRAME. Luciferase and ChIP assays showed that p53 represses the transcriptional activity of the PRAME promoter and is recruited to the p53RE together with HDAC1 upon etoposide treatment. The functional significance of p53 activationmediated PRAME downregulation was demonstrated by measuring colony formation and p27 expression in melanoma cells. These data suggest that p53 activation, which leads to PRAME downregulation, could be a therapeutic strategy in melanoma cells.

Additional Sex Combs-like Family Associated with Epigenetic Regulation.

The additional sex combs-like (ASXL) family, a mammalian homolog of the additional sex combs (Asx) of Drosophila, has been implicated in transcriptional regulation via chromatin modifications. Abnormal expression of ASXL family genes leads to myelodysplastic syndromes and various types of leukemia. De novo mutation of these genes also causes developmental disorders. Genes in this family and their neighbor genes are evolutionary conserved in humans and mice. This review provides a comprehensive summary of epigenetic regulations associated with ASXL family genes. Their expression is commonly regulated by DNA methylation at CpG islands preceding transcription starting sites. Their proteins primarily engage in histone tail modifications through interactions with chromatin regulators (PRC2, TrxG, PR-DUB, SRC1, HP1α, and BET proteins) and with transcription factors, including nuclear hormone receptors (RAR, PPAR, ER, and LXR). Histone modifications associated with these factors include histone H3K9 acetylation and methylation, H3K4 methylation, H3K27 methylation, and H2AK119 deubiquitination. Recently, non-coding RNAs have been identified following mutations in the ASXL1 or ASXL3 gene, along with circular ASXLs and microRNAs that regulate ASXL1 expression. The diverse epigenetic regulations linked to ASXL family genes collectively contribute to tumor suppression and developmental processes. Our understanding of ASXL-regulated epigenetics may provide insights into the development of therapeutic epigenetic drugs.

Biological and mechanical influence of three-dimensional microenvironment formed in microwell on multicellular spheroids composed of heterogeneous hair follicle stem cells.

Hair loss caused by malfunction of the hair follicle stem cells (HFSCs) and physical damage to the skin is difficult to recover from naturally. To overcome these obstacles to hair follicle (HF) regeneration, it is essential to understand the three-dimensional (3D) microenvironment and interactions of various cells within the HFs. Therefore, 3D cell culture technology has been used in HF regeneration research; specifically, multicellular spheroids have been generally adapted to mimic the 3D volumetric structure of the HF. In this study, we culture HF-derived cells, which are mainly composed of HFSCs, in the form of 3D spheroids using a microwell array and discuss the effects of the 3D cellular environment on HF morphogenesis by expression measurements of Sonic hedgehog signaling and stem cell markers in the HF spheroids. Additionally, the influences of microwell depth on HF spheroid formation and biological conditions were investigated. The biomolecular diffusion and convective flow in the microwell were predicted using computational fluid dynamics, which allows analysis of the physical stimulations occurring on the spheroid at the micro-scale. Although a simple experimental method using the microwell array was adopted in this study, the results provide fundamental insights into the physiological phenomena of HFs in the 3D microenvironment, and the numerical analysis is expected to shed light on the investigation of the geometric parameters of the microwell system.

BET Inhibitors Induce p53-Independent Growth Arrest in HCT116 Cells via Epigenetic Control of the E2F1/c-MYC Axis.

Although bromodomain and extraterminal (BET) inhibitors (BETis) have anti-tumor potential, the underlying molecular mechanism is poorly understood. We found that BETis effectively repressed cell growth via G1/S arrest and migration of HCT116 cells in a p53-independent manner. BETis increased the expression of p21WAF1 and repressed the expression of E2F target genes. Consistent with this, retinoblastoma protein (Rb) phosphorylation was downregulated by BETis, supporting E2F inactivation. To investigate the epigenetic mechanism, chromatin immunoprecipitation (ChIP) assays were employed using the E2F1 target gene c-MYC. Following BETi treatment, recruitment of phosphorylated Rb, BRD2, and MLL2 to the c-MYC promoter was reduced, whereas recruitment of unphosphorylated Rb and EZH2 was increased. Consequently, decreased H4K5/K12ac and H3K4me3 accumulation but increased H3K27me3 accumulation were observed. Overall, this study suggests that BETis may be useful for the treatment of colorectal cancer via epigenetic regulation of the E2F1/c-MYC axis, leading to growth arrest in a p53-independent manner.

Deep Learning for Human Disease Detection, Subtype Classification, and Treatment Response Prediction Using Epigenomic Data.

Deep learning (DL) is a distinct class of machine learning that has achieved first-class performance in many fields of study. For epigenomics, the application of DL to assist physicians and scientists in human disease-relevant prediction tasks has been relatively unexplored until very recently. In this article, we critically review published studies that employed DL models to predict disease detection, subtype classification, and treatment responses, using epigenomic data. A comprehensive search on PubMed, Scopus, Web of Science, Google Scholar, and arXiv.org was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Among 1140 initially identified publications, we included 22 articles in our review. DNA methylation and RNA-sequencing data are most frequently used to train the predictive models. The reviewed models achieved a high accuracy ranged from 88.3% to 100.0% for disease detection tasks, from 69.5% to 97.8% for subtype classification tasks, and from 80.0% to 93.0% for treatment response prediction tasks. We generated a workflow to develop a predictive model that encompasses all steps from first defining human disease-related tasks to finally evaluating model performance. DL holds promise for transforming epigenomic big data into valuable knowledge that will enhance the development of translational epigenomics.

Asxl1 exerts an antiproliferative effect on mouse lung maturation via epigenetic repression of the E2f1-Nmyc axis.

Although additional sex combs-like 1 (ASXL1) has been extensively described in hematologic malignancies, little is known about the molecular role of ASXL1 in organ development. Here, we show that Asxl1 ablation in mice results in postnatal lethality due to cyanosis, a respiratory failure. This lung defect is likely caused by higher proliferative potential and reduced expression of surfactant proteins, leading to reduced air space and defective lung maturation. By microarray analysis, we identified E2F1-responsive genes, including Nmyc, as targets repressed by Asxl1. Nmyc and Asxl1 are reciprocally expressed during the fetal development of normal mouse lungs, whereas Nmyc downregulation is impaired in Asxl1-deficient lungs. Together with E2F1 and ASXL1, host cell factor 1 (HCF-1), purified as an Asxl1-bound protein, is recruited to the E2F1-binding site of the Nmyc promoter. The interaction occurs between the C-terminal region of Asxl1 and the N-terminal Kelch domain of HCF-1. Trimethylation (me3) of histone H3 lysine 27 (H3K27) is enriched in the Nmyc promoter upon Asxl1 overexpression, whereas it is downregulated in Asxl1-deleted lung and -depleted A549 cells, similar to H3K9me3, another repressive histone marker. Overall, these findings suggest that Asxl1 modulates proliferation of lung epithelial cells via the epigenetic repression of Nmyc expression, deficiency of which may cause hyperplasia, leading to dyspnea.