Cellular resolution maps of X chromosome inactivation: implications for neural development, function, and disease
Hao Wu1, Junjie Luo2, Huimin Yu3
1Department of Molecular Biology and Genetics, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA; Howard Hughes Medical Institute, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA.
Neuron
|January 14, 2014
Summary
Female mammals use X chromosome inactivation (XCI) to regulate gene expression. This study maps XCI patterns in various cell types, revealing significant spatial variations that influence brain function.
Area of Science:
- Genetics and Epigenetics
- Neuroscience
- Mammalian Biology
Background:
- Female eutherian mammals utilize X chromosome inactivation (XCI) to epigenetically regulate gene expression from approximately 4% of the genome.
- Understanding the spatial distribution of XCI is crucial for comprehending cellular function and organismal development.
Purpose of the Study:
- To quantitatively map the topography of XCI at single-cell resolution in defined cell types.
- To investigate the spatial scales of XCI mosaicism and its implications for central nervous system (CNS) function.
Main Methods:
- Generation of female mice with X-linked, Cre-activated fluorescent reporters (GFP and tdTomato) on separate X chromosomes.
- Utilizing Cre-driver lines to activate reporters in specific cell types.
- Quantitative mapping of XCI mosaicism in CNS cell types and retinal vasculature.
Main Results:
- Defined the topographies of XCI mosaicism for multiple CNS cell types.
- Observed fluctuations in XCI mosaicism across a wide range of spatial scales, from neighboring cells to left-right body sides.
- Characterized XCI patterns in retinal vascular dysfunction in a Norrie disease model.
Conclusions:
- XCI plays a significant role in generating female-specific, stochastic diversity.
- The spatial scales of XCI variation are predicted to impact CNS function within and between individuals.
- This research provides a high-resolution map of XCI topography, essential for understanding its functional consequences.
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