ArticleBMC genomics2019
Genome-wide analysis of epigenetic dynamics across human developmental stages and tissues.
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Rewriting cellular fate: epigenetic interventions in obesity and cellular programming.Molecular medicine (Cambridge, Mass.) · 2024Review
- Temporal sex specific brain gene expression pattern during early rat embryonic development.Frontiers in cell and developmental biology · 2024Article
- Glyphosate and a glyphosate-based herbicide dysregulate the epigenetic landscape of Homeobox A10 (Frontiers in toxicology · 2024Article
- The Methylation Game: Epigenetic and Epitranscriptomic Dynamics of 5-Methylcytosine.Frontiers in cell and developmental biology · 2022Review
- Genes, environment, and developmental timing: New insights from translational approaches to understand early origins of respiratory diseases.Pediatric pulmonology · 2021Article
- Epigenetic Dynamics of the Infant Immune System Reveals a Tumor Necrosis Factor Superfamily Signature in Early Human Life.Epigenomes · 2020Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEpigenome is highly dynamic during the early stages of embryonic development. Epigenetic modifications provide the necessary regulation for lineage specification and enable the maintenance of cellular identity. Given the rapid accumulation of genome-wide epigenomic modification maps across cellular differentiation process, there is an urgent need to characterize epigenetic dynamics and reveal their impacts on differential gene regulation.
methodsWe proposed DiffEM, a computational method for differential analysis of epigenetic modifications and identified highly dynamic modification sites along cellular differentiation process. We applied this approach to investigating 6 epigenetic marks of 20 kinds of human early developmental stages and tissues, including hESCs, 4 hESC-derived lineages and 15 human primary tissues.
resultsWe identified highly dynamic modification sites where different cell types exhibit distinctive modification patterns, and found that these highly dynamic sites enriched in the genes related to cellular development and differentiation. Further, to evaluate the effectiveness of our method, we correlated the dynamics scores of epigenetic modifications with the variance of gene expression, and compared the results of our method with those of the existing algorithms. The comparison results demonstrate the power of our method in evaluating the epigenetic dynamics and identifying highly dynamic regions along cell differentiation process.
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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.