Refining the genomic determinants underlying escape from X-chromosome inactivation

Author:

Peeters Samantha1,Leung Tiffany12,Fornes Oriol12ORCID,Farkas Rachelle A12,Wasserman Wyeth W12ORCID,Brown Carolyn J1ORCID

Affiliation:

1. Department of Medical Genetics, University of British Columbia , Vancouver , British Columbia , Canada

2. Centre for Molecular Medicine and Therapeutics at British Columbia Children's Hospital, University of British Columbia , Vancouver , British Columbia , Canada

Abstract

Abstract X-chromosome inactivation (XCI) epigenetically silences one X chromosome in every cell in female mammals. Although the majority of X-linked genes are silenced, in humans 20% or more are able to escape inactivation and continue to be expressed. Such escape genes are important contributors to sex differences in gene expression, and may impact the phenotypes of X aneuploidies; yet the mechanisms regulating escape from XCI are not understood. We have performed an enrichment analysis of transcription factor binding on the X chromosome, providing new evidence for enriched factors at the transcription start sites of escape genes. The top escape-enriched transcription factors were detected at the RPS4X promoter, a well-described human escape gene previously demonstrated to escape from XCI in a transgenic mouse model. Using a cell line model system that allows for targeted integration and inactivation of transgenes on the mouse X chromosome, we further assessed combinations of RPS4X promoter and genic elements for their ability to drive escape from XCI. We identified a small transgenic construct of only 6 kb capable of robust escape from XCI, establishing that gene-proximal elements are sufficient to permit escape, and highlighting the additive effect of multiple elements that work together in a context-specific fashion.

Funder

Natural Sciences and Engineering Research Council of Canada

Canadian Institutes of Health Research

Publisher

Oxford University Press (OUP)

Subject

Applied Mathematics,Computer Science Applications,Genetics,Molecular Biology,Structural Biology

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