Abnormal DNA methylation has been associated with the development and progression of several human cancers and is a potential target for treatment. Thus, myriad technologies for the analysis of DNA methylation have been developed over the past few decades. However, most of these technologies are still far from ideal because they are time-consuming, labor-intensive, and complex, and there is the risk of contamination of samples. Here, we present an innovative DNA methylation-specific amplification/detection device for analysis of DNA methylation in cancer-related DNA biomarkers. The assay is based on a microfluidic system that is coupled to a flexible plastic-based on-chip endonuclease digestion device with optimized magnetic field effect and a methylation-specific isothermal solid-phase amplification/detection technique to allow a low-cost, simple, and rapid analysis of DNA methylation status in a label-free and real-time manner. This flexible plastic/silicon-based microfluidic device is relatively simple to fabricate with a flexible thin film and a magnet array by using a laser machine that can overcome the limitations of a PDMS-based microfluidic device. We demonstrated the ability of the methylation analysis based on the proposed flexible device to detect the methylated RARβ gene, which is a common DNA methylation biomarker in several human cancers. The simple platform detected the methylated gene in genomic DNA from human cancer cell lines within 65 min, whereas other methods required at least several hours. Therefore, this simple, low-cost, and rapid methylation analysis platform will be useful for the detection of DNA methylation in point-of-care applications.
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http://dx.doi.org/10.1039/c4lc00804a | DOI Listing |
Plant Cell Environ
January 2025
Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan.
Epigenetic mechanisms, including DNA methylation, histone modifications, and Noncoding RNAs, play a critical role in enabling plants to adapt to environmental changes without altering their DNA sequence. These processes dynamically regulate gene expression in response to diverse stressors, making them essential for plant resilience under changing global conditions. This review synthesises research on tropical and subtropical plants-species naturally exposed to extreme temperatures, salinity, drought, and other stressors-while drawing parallels with similar mechanisms observed in arid and temperate ecosystems.
View Article and Find Full Text PDFClin Transl Med
January 2025
BOE Technology Group Co., Ltd, Beijing, China.
Background: Multi-omics features of cell-free DNA (cfDNA) can effectively improve the performance of non-invasive early diagnosis and prognosis of cancer. However, multimodal characterization of cfDNA remains technically challenging.
Methods: We developed a comprehensive multi-omics solution (COMOS) to specifically obtain an extensive fragmentomics landscape, presented by breakpoint characteristics of nucleosomes, CpG islands, DNase clusters and enhancers, besides typical methylation, copy number alteration of cfDNA.
Eur J Appl Physiol
January 2025
Department of Kinesiology, Health Promotion, and Recreation, University of North Texas, Denton, TX, USA.
Physical activity (PA) and exercise elicit adaptations and physiological responses in skeletal muscle, which are advantageous for preserving health and minimizing chronic illnesses. The complicated atmosphere of the exercise response can be attributed to hereditary and environmental variables. The primary cause of these adaptations and physiological responses is the transcriptional reactions that follow exercise, whether endurance- (ET) or resistance- training (RT).
View Article and Find Full Text PDFNeuro Oncol
January 2025
MacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada.
Background: Meningiomas exhibit considerable clinical and biological heterogeneity. We previously identified four distinct molecular groups (immunogenic, NF2-wildtype, hypermetabolic, proliferative) that address much of this heterogeneity. Despite the utility of these groups, the stochasticity of clustering methods and the use of multi-omics data for discovery limits the potential for classifying prospective cases.
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