Literature DB >> 25858912

Allelic Imbalance Is a Prevalent and Tissue-Specific Feature of the Mouse Transcriptome.

Stefan F Pinter1, David Colognori1, Brian J Beliveau2, Ruslan I Sadreyev1, Bernhard Payer1, Eda Yildirim1, Chao-Ting Wu2, Jeannie T Lee3.   

Abstract

In mammals, several classes of monoallelic genes have been identified, including those subject to X-chromosome inactivation (XCI), genomic imprinting, and random monoallelic expression (RMAE). However, the extent to which these epigenetic phenomena are influenced by underlying genetic variation is unknown. Here we perform a systematic classification of allelic imbalance in mouse hybrids derived from reciprocal crosses of divergent strains. We observe that deviation from balanced biallelic expression is common, occurring in ∼20% of the mouse transcriptome in a given tissue. Allelic imbalance attributed to genotypic variation is by far the most prevalent class and typically is tissue-specific. However, some genotype-based imbalance is maintained across tissues and is associated with greater genetic variation, especially in 5' and 3' termini of transcripts. We further identify novel random monoallelic and imprinted genes and find that genotype can modify penetrance of parental origin even in the setting of large imprinted regions. Examination of nascent transcripts in single cells from inbred parental strains reveals that genes showing genotype-based imbalance in hybrids can also exhibit monoallelic expression in isogenic backgrounds. This surprising observation may suggest a competition between alleles and/or reflect the combined impact of cis- and trans-acting variation on expression of a given gene. Our findings provide novel insights into gene regulation and may be relevant to human genetic variation and disease.
Copyright © 2015 by the Genetics Society of America.

Entities:  

Keywords:  allele-specific RNA-seq; gene expression; genotype; imprinting; random monoallelic expression

Mesh:

Year:  2015        PMID: 25858912      PMCID: PMC4492378          DOI: 10.1534/genetics.115.176263

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  56 in total

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