Quantitative and functional interrogation of parent-of-origin allelic expression biases in the brain

Author:

Perez Julio D1,Rubinstein Nimrod D1,Fernandez Daniel E2,Santoro Stephen W3,Needleman Leigh A1,Ho-Shing Olivia1,Choi John J1,Zirlinger Mariela4,Chen Shau-Kwaun5,Liu Jun S2,Dulac Catherine1

Affiliation:

1. Department of Molecular and Cellular Biology, Howard Hughes Medical Institute, Harvard University, Cambridge, United States

2. Department of Statistics, Harvard University, Cambridge, United States

3. Neuroscience Program, Department of Zoology and Physiology, University of Wyoming, Laramie, United States

4. Cell Press, Cambridge, United States

5. National Chengchi University, Tapei, Taiwan

Abstract

The maternal and paternal genomes play different roles in mammalian brains as a result of genomic imprinting, an epigenetic regulation leading to differential expression of the parental alleles of some genes. Here we investigate genomic imprinting in the cerebellum using a newly developed Bayesian statistical model that provides unprecedented transcript-level resolution. We uncover 160 imprinted transcripts, including 41 novel and independently validated imprinted genes. Strikingly, many genes exhibit parentally biased—rather than monoallelic—expression, with different magnitudes according to age, organ, and brain region. Developmental changes in parental bias and overall gene expression are strongly correlated, suggesting combined roles in regulating gene dosage. Finally, brain-specific deletion of the paternal, but not maternal, allele of the paternally-biased Bcl-x, (Bcl2l1) results in loss of specific neuron types, supporting the functional significance of parental biases. These findings reveal the remarkable complexity of genomic imprinting, with important implications for understanding the normal and diseased brain.

Funder

Howard Hughes Medical Institute (HHMI)

National Institute of Mental Health (NIMH)

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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