ArticleFrontiers in genetics2014
Exploring genome wide bisulfite sequencing for DNA methylation analysis in livestock: a technical assessment.
Article in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 87 citations in OpenAlex.
- Trial
- Sex-specific multigenerational epigenetic responses to real-world chemical mixture exposure in an outbred sheep model.bioRxiv : the preprint server for biology · 2026Article
- Epigenetic Regulation of Production Traits in Ruminants: Implications for Breeding and Selection.Biology · 2026Review
- Methods for Investigating the Sperm Epigenome.Advances in experimental medicine and biology · 2026Review
- Developmental programming: Differing impact of prenatal testosterone and prenatal bisphenol-A -treatment on hepatic methylome in female sheep.Molecular and cellular endocrinology · 2025Article
- Molecular responses of chicken embryos to maternal heat stress through DNA methylation and gene expression: a pilot study.Environmental epigenetics · 2025Article
- DNA Imprinting and Differentially Expressed Genes inEpigenomes · 2024Article
- Age Prediction Using DNA Methylation Heterogeneity Metrics.International journal of molecular sciences · 2024Article
- Decoding the transcriptomic expression and genomic methylation patterns in the tendon proper and its peritenon region in the aging horse.BMC research notes · 2023Article
- Inheritance of social dominance is associated with global sperm DNA methylation in inbred male mice.Current zoology · 2023Article
- i4mC-GRU: Identifying DNA NComputational and structural biotechnology journal · 2023Article
- Computational identification of promoters inFrontiers in microbiology · 2023Article
- Computational prediction of promotors inFrontiers in microbiology · 2023Article
- Computational Analysis of High-Dimensional DNA Methylation Data for Cancer Prognosis.Journal of computational biology : a journal of computational molecular cell biology · 2022Review
- Deep-4mCGP: A Deep Learning Approach to Predict 4mC Sites inInternational journal of molecular sciences · 2022Article
- Systematic Analysis and Accurate Identification of DNA N4-Methylcytosine Sites by Deep Learning.Frontiers in microbiology · 2022Article
- Article
- Introduction to Single-Cell DNA Methylation Profiling Methods.Biomolecules · 2021Review
- Genome-wide DNA methylation alteration in prenatally stressed Brahman heifer calves with the advancement of age.Epigenetics · 2021Article
- Statistical and bioinformatic analysis of hemimethylation patterns in non-small cell lung cancer.BMC cancer · 2021Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent advances made in "omics" technologies are contributing to a revolution in livestock selection and breeding practices. Epigenetic mechanisms, including DNA methylation are important determinants for the control of gene expression in mammals. DNA methylation research will help our understanding of how environmental factors contribute to phenotypic variation of complex production and health traits. High-throughput sequencing is a vital tool for the comprehensive analysis of DNA methylation, and bisulfite-based strategies coupled with DNA sequencing allows for quantitative, site-specific methylation analysis at the genome level or genome wide. Reduced representation bisulfite sequencing (RRBS) and more recently whole genome bisulfite sequencing (WGBS) have proven to be effective techniques for studying DNA methylation in both humans and mice. Here we report the development of RRBS and WGBS for use in sheep, the first application of this technology in livestock species. Important technical issues associated with these methodologies including fragment size selection and sequence depth are examined and discussed.
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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.