Cell GenomicsGenomicsPeer-reviewed journal article
Cell-type-specific DNA methylation dynamics in the prenatal and postnatal human cortex
Alice FrankliniD, Jonathan P. DaviesiD, Nicholas E. CliftoniD, Georgina E. T. BlakeiD, Rosemary A. BamfordiD, Emma WalkeriD, Barry A. ChiozaiD, Martyn Frith, Simon Baron‐CoheniD, Carrie Allison, Varun WarrieriD, Alex TsompanidisiD, Deep AdhyaiD, Rosie Holt, Joanna Davis, Genie Gu, Yira Zhang, Niran Okewole, Omar Al-Rubaie, Daniel H. GeschwindiD, Ramin Ali Marandi GhoddousiiD, Alexander E. P. HeazelliD, Jonathan Mill, Rosemary Bamford, Matthew E. HurlesiD, , Covadonga M. Diaz-Caneja
Abstract
The human cortex undergoes extensive epigenetic remodelling during development, although the precise temporal and cell-type-specific dynamics of DNA methylation remain incompletely understood. In this study, we profiled genome-wide DNA methylation across human cortex tissue from donors aged 6 post-conception weeks (pcw) to 108 years of age. We observed widespread, developmentally regulated, changes in DNA methylation, with pronounced shifts occurring during early- and mid-gestation that were distinct from age-associated modifications in the postnatal cortex. Using fluorescence-activated nuclei sorting (FANS), we optimized a protocol for the isolation of SATB2-positive neuronal nuclei, enabling the identification of cell-type-specific DNA methylation trajectories in developing neuronal and non-neuronal populations. Developmentally dynamic DNA methylation sites were significantly enriched near genes implicated in autism and schizophrenia, supporting a role for epigenetic dysregulation in neurodevelopmental disorders. Our findings underscore the prenatal period as a critical window of epigenomic plasticity in the central nervous system with important implications for understanding the genetic basis of neurodevelopmental phenotypes.
- organism: human
- assay: DNA methylation
- research focus: differential expression
- approach: statistical model
- Citations
- 9
- FWCI
- 2.69
- Field percentile
- top 9%
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