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      Analysis of expressed SNPs identifies variable extents of expression from the human inactive X chromosome

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          Abstract

          Background

          X-chromosome inactivation (XCI) results in the silencing of most genes on one X chromosome, yielding mono-allelic expression in individual cells. However, random XCI results in expression of both alleles in most females. Allelic imbalances have been used genome-wide to detect mono-allelically expressed genes. Analysis of X-linked allelic imbalance in females with skewed XCI offers the opportunity to identify genes that escape XCI with bi-allelic expression in contrast to those with mono-allelic expression and which are therefore subject to XCI.

          Results

          We determine XCI status for 409 genes, all of which have at least five informative females in our dataset. The majority of genes are subject to XCI and genes that escape from XCI show a continuum of expression from the inactive X. Inactive X expression corresponds to differences in the level of histone modification detected by allelic imbalance after chromatin immunoprecipitation. Differences in XCI between populations and between cell lines derived from different tissues are observed.

          Conclusions

          We demonstrate that allelic imbalance can be used to determine an inactivation status for X-linked genes, even without completely non-random XCI. There is a range of expression from the inactive X. Genes escaping XCI, including those that do so in only a subset of females, cluster together, demonstrating that XCI and location on the X chromosome are related. In addition to revealing mechanisms involved in cis-gene regulation, determining which genes escape XCI can expand our understanding of the contributions of X-linked genes to sexual dimorphism.

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          Most cited references27

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          Widespread monoallelic expression on human autosomes.

          Monoallelic expression with random choice between the maternal and paternal alleles defines an unusual class of genes comprising X-inactivated genes and a few autosomal gene families. Using a genome-wide approach, we assessed allele-specific transcription of about 4000 human genes in clonal cell lines and found that more than 300 were subject to random monoallelic expression. For a majority of monoallelic genes, we also observed some clonal lines displaying biallelic expression. Clonal cell lines reflect an independent choice to express the maternal, the paternal, or both alleles for each of these genes. This can lead to differences in expressed protein sequence and to differences in levels of gene expression. Unexpectedly widespread monoallelic expression suggests a mechanism that generates diversity in individual cells and their clonal descendants.
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            Gene silencing in X-chromosome inactivation: advances in understanding facultative heterochromatin formation.

            Anton Wutz (2011)
            In female mammals, one of the two X chromosomes is silenced for dosage compensation between the sexes. X-chromosome inactivation is initiated in early embryogenesis by the Xist RNA that localizes to the inactive X chromosome. During development, the inactive X chromosome is further modified, a specialized form of facultative heterochromatin is formed and gene repression becomes stable and independent of Xist in somatic cells. The recent identification of several factors involved in this process has provided insights into the mechanism of Xist localization and gene silencing. The emerging picture is complex and suggests that chromosome-wide silencing can be partitioned into several steps, the molecular components of which are starting to be defined.
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              • Record: found
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              Genome-wide allele-specific analysis: insights into regulatory variation.

              Functional genomics is rapidly progressing towards the elucidation of elements that are crucial for the cis-regulatory control of gene expression, and population-based studies of disease and gene expression traits are yielding widespread evidence of the influence of non-coding variants on trait variance. Recently, genome-wide allele-specific approaches that harness high-throughput sequencing technology have started to allow direct evaluation of how these cis-regulatory polymorphisms control gene expression and affect chromatin states. The emerging data is providing exciting opportunities for comprehensive characterization of the allele-specific events that govern human gene regulation.
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                Author and article information

                Contributors
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central
                1465-6906
                1465-6914
                2013
                1 November 2013
                : 14
                : 11
                : R122
                Affiliations
                [1 ]Department of Medical Genetics, Molecular Epigenetics Group, Life Sciences Institute, University of British Columbia, Vancouver, BC V6T 1Z3, Canada
                [2 ]McGill University and Genome Québec Innovation Centre, Department of Human and Medical Genetics, McGill University, Montréal, Québec H3A 0G1, Canada
                Article
                gb-2013-14-11-r122
                10.1186/gb-2013-14-11-r122
                4053723
                24176135
                8b1a4ff5-b16e-482d-b017-3fcc9b30a528
                Copyright © 2013 Cotton et al.; licensee BioMed Central Ltd.

                This is an open access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 16 May 2013
                : 1 November 2013
                Categories
                Research

                Genetics
                Genetics

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