An Epigenetic Signature for Monoallelic Olfactory Receptor Expression
Autor: | Bradley M. Colquitt, Angela Yen, Pouya Kheradpour, George Mountoufaris, Stavros Lomvardas, Manolis Kellis, E. Josephine Clowney, Eirene Markenscoff-Papadimitriou, Catriona Carey, Gilad Barnea, Zoe A. Evans, Angeliki Magklara, William E. Allen |
---|---|
Rok vydání: | 2011 |
Předmět: |
Chromatin Immunoprecipitation
Heterochromatin Gene Expression Mice Transgenic Biology Receptors Odorant Article General Biochemistry Genetics and Molecular Biology Mice 03 medical and health sciences Olfactory mucosa 0302 clinical medicine Olfactory Mucosa medicine Animals Constitutive heterochromatin Histone code Gene silencing Gene Silencing Epigenetics 10. No inequality Oligonucleotide Array Sequence Analysis 030304 developmental biology Genetics 0303 health sciences Olfactory receptor Biochemistry Genetics and Molecular Biology(all) Chromatin Assembly and Disassembly Histone Code Mice Inbred C57BL medicine.anatomical_structure Olfactory epithelium 030217 neurology & neurosurgery |
Zdroj: | Cell. 145:555-570 |
ISSN: | 0092-8674 |
DOI: | 10.1016/j.cell.2011.03.040 |
Popis: | SummaryConstitutive heterochromatin is traditionally viewed as the static form of heterochromatin that silences pericentromeric and telomeric repeats in a cell cycle- and differentiation-independent manner. Here, we show that, in the mouse olfactory epithelium, olfactory receptor (OR) genes are marked in a highly dynamic fashion with the molecular hallmarks of constitutive heterochromatin, H3K9me3 and H4K20me3. The cell type and developmentally dependent deposition of these marks along the OR clusters are, most likely, reversed during the process of OR choice to allow for monogenic and monoallelic OR expression. In contrast to the current view of OR choice, our data suggest that OR silencing takes place before OR expression, indicating that it is not the product of an OR-elicited feedback signal. Our findings suggest that chromatin-mediated silencing lays a molecular foundation upon which singular and stochastic selection for gene expression can be applied. |
Databáze: | OpenAIRE |
Externí odkaz: |