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Epigenomic Insights into Common Human Disease Pathology

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Publisher Springer
Specialty Biology
Date 2024 Apr 11
PMID 38602535
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Abstract

The epigenome-the chemical modifications and chromatin-related packaging of the genome-enables the same genetic template to be activated or repressed in different cellular settings. This multi-layered mechanism facilitates cell-type specific function by setting the local sequence and 3D interactive activity level. Gene transcription is further modulated through the interplay with transcription factors and co-regulators. The human body requires this epigenomic apparatus to be precisely installed throughout development and then adequately maintained during the lifespan. The causal role of the epigenome in human pathology, beyond imprinting disorders and specific tumour suppressor genes, was further brought into the spotlight by large-scale sequencing projects identifying that mutations in epigenomic machinery genes could be critical drivers in both cancer and developmental disorders. Abrogation of this cellular mechanism is providing new molecular insights into pathogenesis. However, deciphering the full breadth and implications of these epigenomic changes remains challenging. Knowledge is accruing regarding disease mechanisms and clinical biomarkers, through pathogenically relevant and surrogate tissue analyses, respectively. Advances include consortia generated cell-type specific reference epigenomes, high-throughput DNA methylome association studies, as well as insights into ageing-related diseases from biological 'clocks' constructed by machine learning algorithms. Also, 3rd-generation sequencing is beginning to disentangle the complexity of genetic and DNA modification haplotypes. Cell-free DNA methylation as a cancer biomarker has clear clinical utility and further potential to assess organ damage across many disorders. Finally, molecular understanding of disease aetiology brings with it the opportunity for exact therapeutic alteration of the epigenome through CRISPR-activation or inhibition.

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References
1.
Chen L, Ge B, Casale F, Vasquez L, Kwan T, Garrido-Martin D . Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells. Cell. 2016; 167(5):1398-1414.e24. PMC: 5119954. DOI: 10.1016/j.cell.2016.10.026. View

2.
Teschendorff A, Menon U, Gentry-Maharaj A, Ramus S, Weisenberger D, Shen H . Age-dependent DNA methylation of genes that are suppressed in stem cells is a hallmark of cancer. Genome Res. 2010; 20(4):440-6. PMC: 2847747. DOI: 10.1101/gr.103606.109. View

3.
Higham J, Kerr L, Zhang Q, Walker R, Harris S, Howard D . Local CpG density affects the trajectory and variance of age-associated DNA methylation changes. Genome Biol. 2022; 23(1):216. PMC: 9575273. DOI: 10.1186/s13059-022-02787-8. View

4.
Akbari V, Garant J, ONeill K, Pandoh P, Moore R, Marra M . Genome-wide detection of imprinted differentially methylated regions using nanopore sequencing. Elife. 2022; 11. PMC: 9255983. DOI: 10.7554/eLife.77898. View

5.
Berdyshev G, Korotaev G, Boiarskikh G, Vaniushin B . [Nucleotide composition of DNA and RNA from somatic tissues of humpback and its changes during spawning]. Biokhimiia. 1967; 32(5):988-93. View