ArticleJournal of visualized experiments : JoVE2015
Targeted DNA methylation analysis by next-generation sequencing.
Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 52 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect on Pregnancy Outcomes, Infant Growth and Development of an Egg Intervention During Pregnancy in Indonesia
DNA Methylation, Microbiome Profile, Nutritional Status, and Developmental Outcomes of Stunted and Non-stunted Children Growing up During Covid-19 Pandemic: a Case-control Study
Who cites it
52 citing papers in PubMed.
- Prediagnostic White Blood Cell DNA Methylation and Risk of Breast Cancer in the Prostate Lung, Colorectal, and Ovarian Cancer Screening Trial (PLCO) Cohort.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Trial
- Advancing Marine Mammal Conservation Through Omics Tools and Integration of Indigenous Ecological Knowledge.Molecular ecology · 2026Review
- CRISPR technologies for detecting DNA and RNA methylation: Mechanisms, platforms, and translational opportunities.Bioengineering & translational medicine · 2026Review
- Integrative Epigenomics: Bioinformatics Strategies for Multi-Omics Data Analysis in Health and Disease.Epigenomes · 2026Review
- The potential of methylation signal detection in eDNA toward functional ecological monitoring.Communications biology · 2026Review
- DNA Methylation Dynamics in Development and Disease: Insights from Zebrafish Models.Biomedicines · 2026Review
- Epigenetic Age Estimation for Hawaiian False Killer Whales (Pseudorca crassidens) in the Absence of 'Known-Age' Individuals.Molecular ecology resources · 2026Article
- The technology landscape for detection of DNA methylation in cancer liquid biopsies.Epigenetics · 2025Review
- Altered mitochondrial DNA methylation in blood in individuals with mild cognitive impairment.Epigenomics · 2025Article
- DNA Methylation Status of Regulatory Regions of Apoptosis-Associated Genes in Dystropy «Huntington's Disease-Non-Small Cell Lung Cancer».Epigenomes · 2025Article
- The common bisulfite-conversion-based techniques to analyze DNA methylation in human cancers.Cancer cell international · 2024Review
- An epigenetic toolbox for conservation biologists.Evolutionary applications · 2024Article
- Extension of bacterial rDNA sequencing for simultaneous methylation detection and its application in microflora analysis.Scientific reports · 2023Article
- TheInternational journal of molecular sciences · 2022Article
- Methylation ofDiagnostics (Basel, Switzerland) · 2022Article
- Comparison of DNA methylation measurements from EPIC BeadChip and SeqCap targeted bisulphite sequencing in PON1 and nine additional candidate genes.Epigenetics · 2022Article
- mEpigenetics · 2022Article
- Article
- Investigation of Transposon DNA Methylation and Copy Number Variation in Plants Using Southern Hybridisation.Bio-protocol · 2022Article
- A novel workflow for the qualitative analysis of DNA methylation data.Computational and structural biotechnology journal · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The role of epigenetic processes in the control of gene expression has been known for a number of years. DNA methylation at cytosine residues is of particular interest for epigenetic studies as it has been demonstrated to be both a long lasting and a dynamic regulator of gene expression. Efforts to examine epigenetic changes in health and disease have been hindered by the lack of high-throughput, quantitatively accurate methods. With the advent and popularization of next-generation sequencing (NGS) technologies, these tools are now being applied to epigenomics in addition to existing genomic and transcriptomic methodologies. For epigenetic investigations of cytosine methylation where regions of interest, such as specific gene promoters or CpG islands, have been identified and there is a need to examine significant numbers of samples with high quantitative accuracy, we have developed a method called Bisulfite Amplicon Sequencing (BSAS). This method combines bisulfite conversion with targeted amplification of regions of interest, transposome-mediated library construction and benchtop NGS. BSAS offers a rapid and efficient method for analysis of up to 10 kb of targeted regions in up to 96 samples at a time that can be performed by most research groups with basic molecular biology skills. The results provide absolute quantitation of cytosine methylation with base specificity. BSAS can be applied to any genomic region from any DNA source. This method is useful for hypothesis testing studies of target regions of interest as well as confirmation of regions identified in genome-wide methylation analyses such as whole genome bisulfite sequencing, reduced representation bisulfite sequencing, and methylated DNA immunoprecipitation sequencing.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.