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Popotas A, Casimir GJ, Corazza F, Lefèvre N. Sex-related immunity: could Toll-like receptors be the answer in acute inflammatory response? Front Immunol 2024; 15:1379754. [PMID: 38835761 PMCID: PMC11148260 DOI: 10.3389/fimmu.2024.1379754] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 05/06/2024] [Indexed: 06/06/2024] Open
Abstract
An increasing number of studies have highlighted the existence of a sex-specific immune response, wherein men experience a worse prognosis in cases of acute inflammatory diseases. Initially, this sex-dependent inflammatory response was attributed to the influence of sex hormones. However, a growing body of evidence has shifted the focus toward the influence of chromosomes rather than sex hormones in shaping these inflammatory sex disparities. Notably, certain pattern recognition receptors, such as Toll-like receptors (TLRs), and their associated immune pathways have been implicated in driving the sex-specific immune response. These receptors are encoded by genes located on the X chromosome. TLRs are pivotal components of the innate immune system, playing crucial roles in responding to infectious diseases, including bacterial and viral pathogens, as well as trauma-related conditions. Importantly, the TLR-mediated inflammatory responses, as indicated by the production of specific proteins and cytokines, exhibit discernible sex-dependent patterns. In this review, we delve into the subject of sex bias in TLR activation and explore its clinical implications relatively to both the X chromosome and the hormonal environment. The overarching objective is to enhance our understanding of the fundamental mechanisms underlying these sex differences.
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Affiliation(s)
- Alexandros Popotas
- Laboratory of Pediatrics, Université Libre de Bruxelles, Brussels, Belgium
- Laboratory of Translational Research, Université Libre de Bruxelles, Brussels, Belgium
| | - Georges Jacques Casimir
- Laboratory of Pediatrics, Université Libre de Bruxelles, Brussels, Belgium
- Department of Pulmonology, Allergology and Cystic Fibrosis, Queen Fabiola Childrens University Hospital (Hôpital Universitaire des Enfants Reine Fabiola) – University Hospital of Brussels (Hôpital Universitaire de Bruxelles), Brussels, Belgium
| | - Francis Corazza
- Laboratory of Translational Research, Université Libre de Bruxelles, Brussels, Belgium
- Laboratory of Immunology, Centre Hospitalier Universitaire (CHU) Brugmann, Université Libre de Bruxelles, Brussels, Belgium
| | - Nicolas Lefèvre
- Laboratory of Pediatrics, Université Libre de Bruxelles, Brussels, Belgium
- Department of Pulmonology, Allergology and Cystic Fibrosis, Queen Fabiola Childrens University Hospital (Hôpital Universitaire des Enfants Reine Fabiola) – University Hospital of Brussels (Hôpital Universitaire de Bruxelles), Brussels, Belgium
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2
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Mina IK, Mavrogeorgis E, Siwy J, Stojanov R, Mischak H, Latosinska A, Jankowski V. Multiple urinary peptides display distinct sex-specific distribution. Proteomics 2024; 24:e2300227. [PMID: 37750242 DOI: 10.1002/pmic.202300227] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 09/08/2023] [Accepted: 09/11/2023] [Indexed: 09/27/2023]
Abstract
Previous studies have established the association of sex with gene and protein expression. This study investigated the association of sex with the abundance of endogenous urinary peptides, using capillary electrophoresis-coupled to mass spectrometry (CE-MS) datasets from 2008 healthy individuals and patients with type II diabetes, divided in one discovery and two validation cohorts. Statistical analysis using the Mann-Whitney test, adjusted for multiple testing, revealed 143 sex-associated peptides in the discovery cohort. Of these, 90 peptides were associated with sex in at least one of the validation cohorts and showed agreement in their regulation trends across all cohorts. The 90 sex-associated peptides were fragments of 29 parental proteins. Comparison with previously published transcriptomics data demonstrated that the genes encoding 16 of these parental proteins had sex-biased expression. The 143 sex-associated peptides were combined into a support vector machine-based classifier that could discriminate males from females in two independent sets of healthy individuals and patients with type II diabetes, with an AUC of 89% and 81%, respectively. Collectively, the urinary peptidome contains multiple sex-associated differences, which may enable a better understanding of sex-biased molecular mechanisms and the development of more accurate diagnostic, prognostic, or predictive classifiers for each individual sex.
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Affiliation(s)
- Ioanna K Mina
- Mosaiques Diagnostics GmbH, Hannover, Germany
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
| | - Emmanouil Mavrogeorgis
- Mosaiques Diagnostics GmbH, Hannover, Germany
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
| | | | - Riste Stojanov
- Faculty of Computer Science and Engineering, Ss. Cyril and Methodius University in Skopje, Skopje, North Macedonia
| | | | | | - Vera Jankowski
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Germany
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3
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Escape from X-inactivation in twins exhibits intra- and inter-individual variability across tissues and is heritable. PLoS Genet 2023; 19:e1010556. [PMID: 36802379 PMCID: PMC9942974 DOI: 10.1371/journal.pgen.1010556] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Accepted: 12/06/2022] [Indexed: 02/23/2023] Open
Abstract
X-chromosome inactivation (XCI) silences one X in female cells to balance sex-differences in X-dosage. A subset of X-linked genes escape XCI, but the extent to which this phenomenon occurs and how it varies across tissues and in a population is as yet unclear. To characterize incidence and variability of escape across individuals and tissues, we conducted a transcriptomic study of escape in adipose, skin, lymphoblastoid cell lines and immune cells in 248 healthy individuals exhibiting skewed XCI. We quantify XCI escape from a linear model of genes' allelic fold-change and XIST-based degree of XCI skewing. We identify 62 genes, including 19 lncRNAs, with previously unknown patterns of escape. We find a range of tissue-specificity, with 11% of genes escaping XCI constitutively across tissues and 23% demonstrating tissue-restricted escape, including cell type-specific escape across immune cells of the same individual. We also detect substantial inter-individual variability in escape. Monozygotic twins share more similar escape than dizygotic twins, indicating that genetic factors may underlie inter-individual differences in escape. However, discordant escape also occurs within monozygotic co-twins, suggesting environmental factors also influence escape. Altogether, these data indicate that XCI escape is an under-appreciated source of transcriptional differences, and an intricate phenotype impacting variable trait expressivity in females.
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4
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Sierra I, Pyfrom S, Weiner A, Zhao G, Driscoll A, Yu X, Gregory BD, Vaughan AE, Anguera MC. Unusual X chromosome inactivation maintenance in female alveolar type 2 cells is correlated with increased numbers of X-linked escape genes and sex-biased gene expression. Stem Cell Reports 2023; 18:489-502. [PMID: 36638790 PMCID: PMC9968984 DOI: 10.1016/j.stemcr.2022.12.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 12/07/2022] [Accepted: 12/08/2022] [Indexed: 01/13/2023] Open
Abstract
Sex differences exist for many lung pathologies, including COVID-19 and pulmonary fibrosis, but the mechanistic basis for this remains unclear. Alveolar type 2 cells (AT2s), which play a key role in alveolar lung regeneration, express the X-linked Ace2 gene that has roles in lung repair and SARS-CoV-2 pathogenesis, suggesting that X chromosome inactivation (XCI) in AT2s might impact sex-biased lung pathology. Here we investigate XCI maintenance and sex-specific gene expression profiles using male and female AT2s. Remarkably, the inactive X chromosome (Xi) lacks robust canonical Xist RNA "clouds" and less enrichment of heterochromatic modifications in human and mouse AT2s. We demonstrate that about 68% of expressed X-linked genes in mouse AT2s, including Ace2, escape XCI. There are genome-wide expression differences between male and female AT2s, likely influencing both lung physiology and pathophysiologic responses. These studies support a renewed focus on AT2s as a potential contributor to sex-biased differences in lung disease.
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Affiliation(s)
- Isabel Sierra
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sarah Pyfrom
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Aaron Weiner
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Gan Zhao
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amanda Driscoll
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xiang Yu
- Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Brian D Gregory
- Department of Biology, University of Pennsylvania, Philadelphia, PA, USA
| | - Andrew E Vaughan
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Penn Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA.
| | - Montserrat C Anguera
- Department of Biomedical Sciences, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA.
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5
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The human inactive X chromosome modulates expression of the active X chromosome. CELL GENOMICS 2023; 3:100259. [PMID: 36819663 PMCID: PMC9932992 DOI: 10.1016/j.xgen.2023.100259] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 08/12/2022] [Accepted: 01/06/2023] [Indexed: 02/11/2023]
Abstract
The "inactive" X chromosome (Xi) has been assumed to have little impact, in trans, on the "active" X (Xa). To test this, we quantified Xi and Xa gene expression in individuals with one Xa and zero to three Xis. Our linear modeling revealed modular Xi and Xa transcriptomes and significant Xi-driven expression changes for 38% (162/423) of expressed X chromosome genes. By integrating allele-specific analyses, we found that modulation of Xa transcript levels by Xi contributes to many of these Xi-driven changes (≥121 genes). By incorporating metrics of evolutionary constraint, we identified 10 X chromosome genes most likely to drive sex differences in common disease and sex chromosome aneuploidy syndromes. We conclude that human X chromosomes are regulated both in cis, through Xi-wide transcriptional attenuation, and in trans, through positive or negative modulation of individual Xa genes by Xi. The sum of these cis and trans effects differs widely among genes.
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6
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Vihinen M. Individual Genetic Heterogeneity. Genes (Basel) 2022; 13:genes13091626. [PMID: 36140794 PMCID: PMC9498725 DOI: 10.3390/genes13091626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2022] [Revised: 08/25/2022] [Accepted: 09/08/2022] [Indexed: 11/28/2022] Open
Abstract
Genetic variation has been widely covered in literature, however, not from the perspective of an individual in any species. Here, a synthesis of genetic concepts and variations relevant for individual genetic constitution is provided. All the different levels of genetic information and variation are covered, ranging from whether an organism is unmixed or hybrid, has variations in genome, chromosomes, and more locally in DNA regions, to epigenetic variants or alterations in selfish genetic elements. Genetic constitution and heterogeneity of microbiota are highly relevant for health and wellbeing of an individual. Mutation rates vary widely for variation types, e.g., due to the sequence context. Genetic information guides numerous aspects in organisms. Types of inheritance, whether Mendelian or non-Mendelian, zygosity, sexual reproduction, and sex determination are covered. Functions of DNA and functional effects of variations are introduced, along with mechanism that reduce and modulate functional effects, including TARAR countermeasures and intraindividual genetic conflict. TARAR countermeasures for tolerance, avoidance, repair, attenuation, and resistance are essential for life, integrity of genetic information, and gene expression. The genetic composition, effects of variations, and their expression are considered also in diseases and personalized medicine. The text synthesizes knowledge and insight on individual genetic heterogeneity and organizes and systematizes the central concepts.
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Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, BMC B13, Lund University, SE-22184 Lund, Sweden
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7
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Single-cell analysis reveals X upregulation is not global in pre-gastrulation embryos. iScience 2022; 25:104465. [PMID: 35707719 PMCID: PMC9189126 DOI: 10.1016/j.isci.2022.104465] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 04/27/2022] [Accepted: 05/18/2022] [Indexed: 11/25/2022] Open
Abstract
In mammals, transcriptional inactivation of one X chromosome in female compensates for the dosage of X-linked gene expression between the sexes. Additionally, it is believed that the upregulation of active X chromosome in male and female balances the dosage of X-linked gene expression relative to autosomal genes, as proposed by Ohno. However, the existence of X chromosome upregulation (XCU) remains controversial. Here, we have profiled gene-wise dynamics of XCU in pre-gastrulation mouse embryos at single-cell level and found that XCU is dynamically linked with X chromosome inactivation (XCI); however, XCU is not global like XCI. Moreover, we show that upregulated genes are enriched with activating marks and have enhanced burst frequency. Finally, our In-silico model predicts that recruitment probabilities of activating factors and a surge of these factors upon X-inactivation trigger XCU. Altogether, our study provides significant insight into the gene-wise dynamics and mechanistic basis of XCU during early development and extends support for Ohno’s hypothesis. X-upregulation coincides with X chromosome inactivation in pre-gastrulation embryos X-upregulation is not chromosome-wide like X-inactivation Upregulated genes have enhanced burst frequency and are enriched with activating marks A surge of activating factors on X-inactivation triggers X-upregulation
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8
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Villegas-Mirón P, Acosta S, Nye J, Bertranpetit J, Laayouni H. Chromosome X-wide Analysis of Positive Selection in Human Populations: Common and Private Signals of Selection and its Impact on Inactivated Genes and Enhancers. Front Genet 2021; 12:714491. [PMID: 34646300 PMCID: PMC8502928 DOI: 10.3389/fgene.2021.714491] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 09/08/2021] [Indexed: 01/22/2023] Open
Abstract
The ability of detecting adaptive (positive) selection in the genome has opened the possibility of understanding the genetic basis of population-specific adaptations genome-wide. Here, we present the analysis of recent selective sweeps, specifically in the X chromosome, in human populations from the third phase of the 1,000 Genomes Project using three different haplotype-based statistics. We describe instances of recent positive selection that fit the criteria of hard or soft sweeps, and detect a higher number of events among sub-Saharan Africans than non-Africans (Europe and East Asia). A global enrichment of neural-related processes is observed and numerous genes related to fertility appear among the top candidates, reflecting the importance of reproduction in human evolution. Commonalities with previously reported genes under positive selection are found, while particularly strong new signals are reported in specific populations or shared across different continental groups. We report an enrichment of signals in genes that escape X chromosome inactivation, which may contribute to the differentiation between sexes. We also provide evidence of a widespread presence of soft-sweep-like signatures across the chromosome and a global enrichment of highly scoring regions that overlap potential regulatory elements. Among these, enhancers-like signatures seem to present putative signals of positive selection which might be in concordance with selection in their target genes. Also, particularly strong signals appear in regulatory regions that show differential activities, which might point to population-specific regulatory adaptations.
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Affiliation(s)
- Pablo Villegas-Mirón
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Sandra Acosta
- Department Pathology and Experimental Therapeutics, Medical School, University of Barcelona, Barcelona, Spain
| | - Jessica Nye
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Jaume Bertranpetit
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain
| | - Hafid Laayouni
- Institut de Biologia Evolutiva (UPF-CSIC), Universitat Pompeu Fabra, Barcelona, Spain.,Bioinformatics Studies, ESCI-UPF, Barcelona, Spain
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9
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Kawatake-Kuno A, Murai T, Uchida S. The Molecular Basis of Depression: Implications of Sex-Related Differences in Epigenetic Regulation. Front Mol Neurosci 2021; 14:708004. [PMID: 34276306 PMCID: PMC8282210 DOI: 10.3389/fnmol.2021.708004] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Accepted: 06/14/2021] [Indexed: 12/22/2022] Open
Abstract
Major depressive disorder (MDD) is a leading cause of disability worldwide. Although the etiology and pathophysiology of MDD remain poorly understood, aberrant neuroplasticity mediated by the epigenetic dysregulation of gene expression within the brain, which may occur due to genetic and environmental factors, may increase the risk of this disorder. Evidence has also been reported for sex-related differences in the pathophysiology of MDD, with female patients showing a greater severity of symptoms, higher degree of functional impairment, and more atypical depressive symptoms. Males and females also differ in their responsiveness to antidepressants. These clinical findings suggest that sex-dependent molecular and neural mechanisms may underlie the development of depression and the actions of antidepressant medications. This review discusses recent advances regarding the role of epigenetics in stress and depression. The first section presents a brief introduction of the basic mechanisms of epigenetic regulation, including histone modifications, DNA methylation, and non-coding RNAs. The second section reviews their contributions to neural plasticity, the risk of depression, and resilience against depression, with a particular focus on epigenetic modulators that have causal relationships with stress and depression in both clinical and animal studies. The third section highlights studies exploring sex-dependent epigenetic alterations associated with susceptibility to stress and depression. Finally, we discuss future directions to understand the etiology and pathophysiology of MDD, which would contribute to optimized and personalized therapy.
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Affiliation(s)
- Ayako Kawatake-Kuno
- SK Project, Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Toshiya Murai
- SK Project, Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan.,Department of Psychiatry, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Shusaku Uchida
- SK Project, Medical Innovation Center, Kyoto University Graduate School of Medicine, Kyoto, Japan
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10
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Davies W. The contribution of Xp22.31 gene dosage to Turner and Klinefelter syndromes and sex-biased phenotypes. Eur J Med Genet 2021; 64:104169. [PMID: 33610733 DOI: 10.1016/j.ejmg.2021.104169] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2020] [Revised: 01/11/2021] [Accepted: 02/16/2021] [Indexed: 11/27/2022]
Abstract
Turner syndrome (TS) is a rare developmental condition in females caused by complete, or partial, loss of the second sex chromosome; it is associated with a number of phenotypes including short stature, ovarian failure and infertility, as well as neurobehavioural and cognitive manifestations. In contrast, Klinefelter syndrome (KS) arises from an excess of X chromosome material in males (typical karyotype is 47,XXY); like TS, KS is associated with infertility and hormonal imbalance, and behavioural/neurocognitive differences from gonadal sex-matched counterparts. Lower dosage of genes that escape X-inactivation may partially explain TS phenotypes, whilst overdosage of these genes may contribute towards KS-related symptoms. Here, I discuss new findings from individuals with deletions or duplications limited to Xp22.31 (a region escaping X-inactivation), and consider the extent to which altered gene dosage within this small interval (and of the steroid sulfatase (STS) gene in particular) may influence the phenotypic profiles of TS and KS. The expression of X-escapees can be higher in female than male tissues; I conclude by considering how lower Xp22.31 gene dosage in males may increase their likelihood of exhibiting particular phenotypes relative to females. Understanding the genetic contribution to specific phenotypes in rare disorders such as TS and KS, and to more common sex-biased phenotypes, will be important for developing more effective, and more personalised, therapeutic approaches.
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Affiliation(s)
- William Davies
- School of Psychology, Cardiff University, Cardiff, UK; Division of Psychological Medicine and Clinical Neurosciences and Centre for Neuropsychiatric Genetics and Genomics, School of Medicine, Cardiff University, Cardiff, UK; Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK.
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11
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Sex-Associated Gene Expression Alterations Correlate With Esophageal Cancer Survival. Clin Transl Gastroenterol 2020; 12:e00281. [PMID: 33464731 PMCID: PMC7752676 DOI: 10.14309/ctg.0000000000000281] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 11/05/2020] [Indexed: 11/17/2022] Open
Abstract
OBJECTIVES: Esophageal cancer (EC) is a significant cause of cancer death with 5-year survival of 10%–15% and males more frequently affected. Genetic evaluation for loci highlighting risk has been performed, but survival data are limited. The Cancer Genome Atlas (TCGA) data sets allow for potential prognostic marker assessment in large patient cohorts. The study aimed to use the TCGA EC data set to assess whether survival varies by sex and explore genetic alterations that may explain variation observed. METHODS: TCGA clinical/RNA-seq data sets (n = 185, 158 males/27 females) were downloaded from the cancer genome browser. Data analysis/figure preparation was performed in R and GraphPad Prism 7. Survival analysis was performed using the survival package. Text mining of PubMed was performed using the tm, RISmed, and wordcloud packages. Pathway analysis was performed using the Reactome database. RESULTS: In EC, male sex/high tumor grade reduced overall survival (hazard ratio = 2.27 [0.99–5.24] for M vs F and 2.49 [0.89–6.92] for low vs high grade, respectively) and recurrence-free survival (hazard ratio = 4.09 [0.98–17.03] for M vs F and 3.36 [0.81–14.01] for low vs high grade, respectively). To investigate the genetic basis for sex-based survival differences in EC, corresponding gene expression data were analyzed. Sixty-nine genes were dysregulated at the P < 0.01 level by the Wilcox test, 33% were X-chromosome genes, and 7% were Y-chromosome genes. DISCUSSION: Female sex potentially confers an EC survival advantage. Importantly, we demonstrate a genetic/epigenetic basis for these survival differences that are independent of lifestyle-associated risk factors overrepresented in males. Further research may lead to novel concepts in treating/measuring EC aggressiveness by sex.
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12
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Vihinen M. Functional effects of protein variants. Biochimie 2020; 180:104-120. [PMID: 33164889 DOI: 10.1016/j.biochi.2020.10.009] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 10/15/2020] [Accepted: 10/19/2020] [Indexed: 12/11/2022]
Abstract
Genetic and other variations frequently affect protein functions. Scientific articles can contain confusing descriptions about which function or property is affected, and in many cases the statements are pure speculation without any experimental evidence. To clarify functional effects of protein variations of genetic or non-genetic origin, a systematic conceptualisation and framework are introduced. This framework describes protein functional effects on abundance, activity, specificity and affinity, along with countermeasures, which allow cells, tissues and organisms to tolerate, avoid, repair, attenuate or resist (TARAR) the effects. Effects on abundance discussed include gene dosage, restricted expression, mis-localisation and degradation. Enzymopathies, effects on kinetics, allostery and regulation of protein activity are subtopics for the effects of variants on activity. Variation outcomes on specificity and affinity comprise promiscuity, specificity, affinity and moonlighting. TARAR mechanisms redress variations with active and passive processes including chaperones, redundancy, robustness, canalisation and metabolic and signalling rewiring. A framework for pragmatic protein function analysis and presentation is introduced. All of the mechanisms and effects are described along with representative examples, most often in relation to diseases. In addition, protein function is discussed from evolutionary point of view. Application of the presented framework facilitates unambiguous, detailed and specific description of functional effects and their systematic study.
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Affiliation(s)
- Mauno Vihinen
- Department of Experimental Medical Science, BMC B13, Lund University, SE-22 184, Lund, Sweden.
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13
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Tsamou M, Vrijens K, Wang C, Winckelmans E, Neven KY, Madhloum N, de Kok TM, Nawrot TS. Genome-wide microRNA expression analysis in human placenta reveals sex-specific patterns: an ENVIR ONAGE birth cohort study. Epigenetics 2020; 16:373-388. [PMID: 32892695 PMCID: PMC7993149 DOI: 10.1080/15592294.2020.1803467] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
There is an increasing interest in microRNAs (miRNAs) as they are of utmost importance in gene regulation at the posttranscriptional level. Sex-related susceptibility for non-communicable diseases later in life could originate in early life. Until now, no data on sex-specific miRNA expression are available for the placenta. Therefore, we investigated the difference by sex of newborn's miRNA expression in human placental tissue. Within the ENVIRONAGE birth cohort, miRNA and mRNA expression profiling was performed in 60 placentae (50% boys) using Agilent (8 × 60 K) microarrays. The distribution of chromosome locations was studied and pathway analysis of the identified sex-specific miRNAs in the placenta was carried out. Of the total 2558 miRNAs on the array, 597 miRNAs were expressed in over 70% of the samples and were included for further analyses. A total of 142 miRNAs were significantly (FDR<0.05) associated with the newborn's sex. In newborn girls, 76 miRNAs had higher expression (hsa-miR-361-5p as most significant) and 66 miRNAs had lower expression (hsa-miR-4646-5p as most significant) than in newborn boys. In the same study population, placental differentially expressed genes by sex were also identified using a whole genome approach. The placental gene expression revealed 27 differentially expressed genes by comparing girls to boys. Ultimately, we studied the miRNA-RNA interactome and identified 14 miRNA-mRNA interactions as sex-specific. Sex differences in placental m(i)RNA expression may reveal sex-specific patterns already present during pregnancy, which may influence physiological conditions in early or later life. These molecular processes might play a role in sex-specific disease susceptibility in later life.
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Affiliation(s)
- Maria Tsamou
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Karen Vrijens
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Congrong Wang
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Ellen Winckelmans
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Kristof Y Neven
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Narjes Madhloum
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium
| | - Theo M de Kok
- Department of Toxicogenomics, GROW Institute of Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Tim S Nawrot
- Center for Environmental Sciences, Hasselt University, Diepenbeek, Belgium.,Department of Public Health, Environment & Health Unit, Leuven University (KU Leuven), Leuven, Belgium
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14
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Wang D, Tang L, Wu Y, Fan C, Zhang S, Xiang B, Zhou M, Li X, Li Y, Li G, Xiong W, Zeng Z, Guo C. Abnormal X chromosome inactivation and tumor development. Cell Mol Life Sci 2020; 77:2949-2958. [PMID: 32040694 PMCID: PMC11104905 DOI: 10.1007/s00018-020-03469-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2019] [Revised: 01/17/2020] [Accepted: 01/21/2020] [Indexed: 12/13/2022]
Abstract
During embryonic development, one of the two X chromosomes of a mammalian female cell is randomly inactivated by the X chromosome inactivation mechanism, which is mainly dependent on the regulation of the non-coding RNA X-inactive specific transcript at the X chromosome inactivation center. There are three proteins that are essential for X-inactive specific transcript to function properly: scaffold attachment factor-A, lamin B receptor, and SMRT- and HDAC-associated repressor protein. In addition, the absence of X-inactive specific transcript expression promotes tumor development. During the process of chromosome inactivation, some tumor suppressor genes escape inactivation of the X chromosome and thereby continue to play a role in tumor suppression. A well-functioning tumor suppressor gene on the idle X chromosome in women is one of the reasons they have a lower propensity to develop cancer than men, women thereby benefit from this enhanced tumor suppression. This review will explore the mechanism of X chromosome inactivation, discuss the relationship between X chromosome inactivation and tumorigenesis, and consider the consequent sex differences in cancer.
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Affiliation(s)
- Dan Wang
- Department of Stomatology, NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Le Tang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Yingfen Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Chunmei Fan
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Shanshan Zhang
- Department of Stomatology, NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China
| | - Bo Xiang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Ming Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Xiaoling Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Yong Li
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, Texas, USA
| | - Guiyuan Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Wei Xiong
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Zhaoyang Zeng
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China
| | - Can Guo
- Department of Stomatology, NHC Key Laboratory of Carcinogenesis, Xiangya Hospital, Central South University, Changsha, Hunan, China.
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute, Central South University, Changsha, Hunan, China.
- Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, Hunan, China.
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15
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Godfrey AK, Naqvi S, Chmátal L, Chick JM, Mitchell RN, Gygi SP, Skaletsky H, Page DC. Quantitative analysis of Y-Chromosome gene expression across 36 human tissues. Genome Res 2020; 30:860-873. [PMID: 32461223 PMCID: PMC7370882 DOI: 10.1101/gr.261248.120] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 05/18/2020] [Indexed: 02/07/2023]
Abstract
Little is known about how human Y-Chromosome gene expression directly contributes to differences between XX (female) and XY (male) individuals in nonreproductive tissues. Here, we analyzed quantitative profiles of Y-Chromosome gene expression across 36 human tissues from hundreds of individuals. Although it is often said that Y-Chromosome genes are lowly expressed outside the testis, we report many instances of elevated Y-Chromosome gene expression in a nonreproductive tissue. A notable example is EIF1AY, which encodes eukaryotic translation initiation factor 1A Y-linked, together with its X-linked homolog EIF1AX. Evolutionary loss of a Y-linked microRNA target site enabled up-regulation of EIF1AY, but not of EIF1AX, in the heart. Consequently, this essential translation initiation factor is nearly twice as abundant in male as in female heart tissue at the protein level. Divergence between the X and Y Chromosomes in regulatory sequence can therefore lead to tissue-specific Y-Chromosome-driven sex biases in expression of critical, dosage-sensitive regulatory genes.
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Affiliation(s)
- Alexander K Godfrey
- Whitehead Institute, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Sahin Naqvi
- Whitehead Institute, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA
| | - Lukáš Chmátal
- Whitehead Institute, Cambridge, Massachusetts 02142, USA
| | - Joel M Chick
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Richard N Mitchell
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Steven P Gygi
- Department of Cell Biology, Harvard Medical School, Boston, Massachusetts 02115, USA
| | - Helen Skaletsky
- Whitehead Institute, Cambridge, Massachusetts 02142, USA.,Howard Hughes Medical Institute, Whitehead Institute, Cambridge, Massachusetts 02142, USA
| | - David C Page
- Whitehead Institute, Cambridge, Massachusetts 02142, USA.,Department of Biology, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.,Howard Hughes Medical Institute, Whitehead Institute, Cambridge, Massachusetts 02142, USA
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16
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Wang D, Zeng Z, Zhang S, Xiong F, He B, Wu Y, Li W, Tang L, Wei F, Xiang B, Li Z, Zhou Y, Zhou M, Li X, Li Y, Li G, Xiong W, Guo C. Epstein-Barr virus-encoded miR-BART6-3p inhibits cancer cell proliferation through the LOC553103-STMN1 axis. FASEB J 2020; 34:8012-8027. [PMID: 32306460 DOI: 10.1096/fj.202000039rr] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 03/28/2020] [Accepted: 03/30/2020] [Indexed: 01/01/2023]
Abstract
Epstein-Barr virus (EBV) is a tumorigenic virus that can cause various human malignancies such as nasopharyngeal carcinoma (NPC) and gastric cancer (GC). EBV encodes 44 mature micro (mi)RNAs, mostly exhibiting oncogenic properties and promoting cancer progression. However, we have previously found that one EBV-encoded miRNA, namely EBV-miR-BART6-3p, acts as a tumor suppressor by inhibiting metastasis and invasion. Here, we report that EBV-miR-BART6-3p inhibits the proliferation of EBV-associated cancers, NPC, and GC, by targeting and downregulating a long non-coding RNA (lncRNA), LOC553103. Through proteomics analysis, we determined that stathmin (STMN1) is affected by EBV-miR-BART6-3p and LOC553103. Further, via RNA immunoprecipitation and luciferase reporter assay, we confirmed that LOC553103 directly binds and stabilizes the 3'UTR region of STMN1 mRNA. These results indicate that the EBV-miR-BART6-3p/LOC553103/STMN1 axis regulates the expression of cell cycle-associated proteins, which then inhibit EBV-associated tumor cell proliferation. These findings provide potential targets or strategies for novel EBV-related cancer treatments, as well as contributes new insights into the understanding of EBV infection-related carcinogenesis.
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Affiliation(s)
- Dan Wang
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.,Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Zhaoyang Zeng
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.,Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Shanshan Zhang
- Department of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Fang Xiong
- Department of Stomatology, Xiangya Hospital, Central South University, Changsha, China
| | - Baoyu He
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Yingfen Wu
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Weimin Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Le Tang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Fang Wei
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Bo Xiang
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Zheng Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Yanhong Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Ming Zhou
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Xiaoling Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Yong Li
- Department of Medicine, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA
| | - Guiyuan Li
- Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
| | - Wei Xiong
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.,Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China.,Hunan Key Laboratory of Nonresolving Inflammation and Cancer, Disease Genome Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Can Guo
- NHC Key Laboratory of Carcinogenesis, Hunan Cancer Hospital and the Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.,Key Laboratory of Carcinogenesis and Cancer Invasion of the Chinese Ministry of Education, Cancer Research Institute and School of Basic Medical Science, Central South University, Changsha, China
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17
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Khramtsova EA, Davis LK, Stranger BE. The role of sex in the genomics of human complex traits. Nat Rev Genet 2019; 20:173-190. [PMID: 30581192 DOI: 10.1038/s41576-018-0083-1] [Citation(s) in RCA: 164] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Nearly all human complex traits and disease phenotypes exhibit some degree of sex differences, including differences in prevalence, age of onset, severity or disease progression. Until recently, the underlying genetic mechanisms of such sex differences have been largely unexplored. Advances in genomic technologies and analytical approaches are now enabling a deeper investigation into the effect of sex on human health traits. In this Review, we discuss recent insights into the genetic models and mechanisms that lead to sex differences in complex traits. This knowledge is critical for developing deeper insight into the fundamental biology of sex differences and disease processes, thus facilitating precision medicine.
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Affiliation(s)
- Ekaterina A Khramtsova
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA.,Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, USA
| | - Lea K Davis
- Division of Medical Genetics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA. .,Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, TN, USA.
| | - Barbara E Stranger
- Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL, USA. .,Institute for Genomics and Systems Biology, University of Chicago, Chicago, IL, USA. .,Center for Data Intensive Science, University of Chicago, Chicago, IL, USA.
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18
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Extensive cellular heterogeneity of X inactivation revealed by single-cell allele-specific expression in human fibroblasts. Proc Natl Acad Sci U S A 2018; 115:13015-13020. [PMID: 30510006 DOI: 10.1073/pnas.1806811115] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
X-chromosome inactivation (XCI) provides a dosage compensation mechanism where, in each female cell, one of the two X chromosomes is randomly silenced. However, some genes on the inactive X chromosome and outside the pseudoautosomal regions escape from XCI and are expressed from both alleles (escapees). We investigated XCI at single-cell resolution combining deep single-cell RNA sequencing with whole-genome sequencing to examine allelic-specific expression in 935 primary fibroblast and 48 lymphoblastoid single cells from five female individuals. In this framework we integrated an original method to identify and exclude doublets of cells. In fibroblast cells, we have identified 55 genes as escapees including five undescribed escapee genes. Moreover, we observed that all genes exhibit a variable propensity to escape XCI in each cell and cell type and that each cell displays a distinct expression profile of the escapee genes. A metric, the Inactivation Score-defined as the mean of the allelic expression profiles of the escapees per cell-enables us to discover a heterogeneous and continuous degree of cellular XCI with extremes represented by "inactive" cells, i.e., cells exclusively expressing the escaping genes from the active X chromosome and "escaping" cells expressing the escapees from both alleles. We found that this effect is associated with cell-cycle phases and, independently, with the XIST expression level, which is higher in the quiescent phase (G0). Single-cell allele-specific expression is a powerful tool to identify novel escapees in different tissues and provide evidence of an unexpected cellular heterogeneity of XCI.
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19
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Daca-Roszak P, Swierniak M, Jaksik R, Tyszkiewicz T, Oczko-Wojciechowska M, Zebracka-Gala J, Jarzab B, Witt M, Zietkiewicz E. Transcriptomic population markers for human population discrimination. BMC Genet 2018; 19:54. [PMID: 30086702 PMCID: PMC6081795 DOI: 10.1186/s12863-018-0663-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 07/30/2018] [Indexed: 12/27/2022] Open
Abstract
Background Numerous studies have demonstrated significant differences in the expression level across continental human populations. Most of published results were performed on B-cell lines materials examined under specific laboratory conditions, without further validation in a primary biological material. The goal of our study was to identify mRNA markers characterized by a significant and stable difference in the gene expression profile in Caucasian and Chinese populations, both in the commercially available B-lymphocyte cell lines and in the primary samples of the peripheral blood. Results The preliminary selection of population-differentiating transcripts was based on Illumina expression microarray analysis of the representative group of ethnically-specified B-lymphocyte cell lines. Twenty genes with the inter-population difference in the mean expression characterized by the at least 1.5-fold change and FDR < 0.05 were identified. Subsequently, a two-step validation procedure was carried out. In the first step, a subset of selected population- differentiating transcripts was tested in the independent set of B-lymphocyte cell lines, using TLDA cards. Based on TLDA analysis, three transcripts representing Fch > 2 were chosen for validation. The differentiating status was confirmed for all of them: UTS2, UGT2B17 and SLC7A7. The mean expression of UTS2 was higher in CHB (25.8-fold change compared to CEU), while the expression of UGT2B17 and SLC7A7 was higher in CEU (3.2- and 2.2-fold change, respectively). In the next validation step, two transcripts were verified in the primary biological material. As an ultimate result of our study, two mRNA markers (UTS2 and UGT2B17) exhibiting population differences in the expression level in both B-cell line and in the blood were identified. Further statistical analysis confirmed the discriminatory potential of these two markers. Conclusions An inter-population differences on the level of gene expression were identified in both B-cell lines and peripheral blood samples. These findings may have a practical application in the field of forensic science. In particular, these transcripts, targeted by specific probes, may be used as population-specific targets in the efforts aiming to separate mixture of blood from individuals of different populations. Notwithstanding, these results have to be confirmed on extended population group. Electronic supplementary material The online version of this article (10.1186/s12863-018-0663-2) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- P Daca-Roszak
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479, Poznan, Poland
| | - M Swierniak
- Maria Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Gliwice, Poland.,Present address: Laboratory of Human Cancer Genetics, Center of New Technologies, CENT, University of Warsaw, Warsaw, Poland.,Genomic Medicine, Medical University of Warsaw, Warsaw, Poland
| | - R Jaksik
- Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland
| | - T Tyszkiewicz
- Maria Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - M Oczko-Wojciechowska
- Maria Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - J Zebracka-Gala
- Maria Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - B Jarzab
- Maria Sklodowska-Curie, Memorial Cancer Center and Institute of Oncology, Gliwice Branch, Gliwice, Poland
| | - M Witt
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479, Poznan, Poland
| | - E Zietkiewicz
- Institute of Human Genetics, Polish Academy of Sciences, Strzeszynska 32, 60-479, Poznan, Poland.
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20
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Bonora G, Disteche CM. Structural aspects of the inactive X chromosome. Philos Trans R Soc Lond B Biol Sci 2018; 372:rstb.2016.0357. [PMID: 28947656 PMCID: PMC5627159 DOI: 10.1098/rstb.2016.0357] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2017] [Indexed: 12/20/2022] Open
Abstract
A striking difference between male and female nuclei was recognized early on by the presence of a condensed chromatin body only in female cells. Mary Lyon proposed that X inactivation or silencing of one X chromosome at random in females caused this structural difference. Subsequent studies have shown that the inactive X chromosome (Xi) does indeed have a very distinctive structure compared to its active counterpart and all autosomes in female mammals. In this review, we will recap the discovery of this fascinating biological phenomenon and seminal studies in the field. We will summarize imaging studies using traditional microscopy and super-resolution technology, which revealed uneven compaction of the Xi. We will then discuss recent findings based on high-throughput sequencing techniques, which uncovered the distinct three-dimensional bipartite configuration of the Xi and the role of specific long non-coding RNAs in eliciting and maintaining this structure. The relative position of specific genomic elements, including genes that escape X inactivation, repeat elements and chromatin features, will be reviewed. Finally, we will discuss the position of the Xi, either near the nuclear periphery or the nucleolus, and the elements implicated in this positioning. This article is part of the themed issue ‘X-chromosome inactivation: a tribute to Mary Lyon’.
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Affiliation(s)
- Giancarlo Bonora
- Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Christine M Disteche
- Department of Pathology, University of Washington, Seattle, WA 98195, USA .,Department of Medicine, University of Washington, Seattle, WA 98195, USA
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21
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Sex Differences in Inflammatory Response and Acid-Base Balance in Prepubertal Children with Severe Sepsis. Shock 2018; 47:422-428. [PMID: 27755508 DOI: 10.1097/shk.0000000000000773] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
PURPOSE AND METHODS The severity and prognosis of various acute inflammatory conditions, such as sepsis, differ between males and females. The mechanisms underlying these sex differences probably involve both hormonal and genetic factors. In order to evaluate a possible genetic influence, we reviewed clinical signs and biological inflammatory markers of prepubertal children with severe sepsis admitted to the pediatric intensive care unit (PICU). FINDINGS A total of 142 prepubertal children, 66 girls and 76 boys, suffering from severe sepsis and admitted to the PICU were included. The survival rate demonstrated a tendency to be higher in females (P = 0.14). Maximum white blood cell count (23,800 cells/μL [15,110-34,600] in girls vs. 19,025 cells/μL [12,358-26,098] in boys, P = 0.02), neutrophil count (16,944 cells/μL [10,620-27,540] vs. 13,756 cells/μL [8410-20,110], P = 0.03), and C-reactive protein level (26.2 mg/dL [15.7-33.6] vs. 18.8 mg/dL [11.1-30.0], P = 0.04) were all significantly higher in girls. Girls also exhibited significantly longer fever duration (2 days [1-6] vs. 1 day [1-3] for the boys, P <0.01), lower pH on admission (7.32 [7.25-7.39] vs. 7.37 [7.31-7.43] P = 0.03), and lower base excess (-6 mEq/L [-10.7 to -0.8] vs. -2.3 mEq/L [-6.6 to -2.6], P <0.01), as well as lower bicarbonate levels (19.1 mEq/l [15.9-24.0] vs. 21.15 mEq/l [18.3-26.68], P = 0.04), when compared with the boys. CONCLUSIONS Our study revealed higher neutrophilic inflammation, as well as lower pH on admission, in girls with severe sepsis; associated with longer fever duration, which could contribute to better pathogen clearance. However, further studies are needed to demonstrate the link between acidosis and modulation of the immune response.
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22
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Printzlau F, Wolstencroft J, Skuse DH. Cognitive, behavioral, and neural consequences of sex chromosome aneuploidy. J Neurosci Res 2017; 95:311-319. [PMID: 27870409 DOI: 10.1002/jnr.23951] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 08/25/2016] [Accepted: 09/06/2016] [Indexed: 02/04/2023]
Abstract
The X chromosome has played a critical role in the development of sexually selected characteristics for over 300 million years, and during that time it has accumulated a disproportionate number of genes concerned with mental functions. There are relatively specific effects of X-linked genes on social cognition, language, emotional regulation, visuospatial, and numerical skills. Many human X-linked genes outside the X-Y pairing pseudoautosomal regions escape X-inactivation. Dosage differences in the expression of such genes (which constitute at least 15% of the total) are likely to play an important role in male-female neural differentiation, and in cognitive deficits and behavioral characteristics, particularly in the realm of social communication, that are associated with sex chromosome aneuploidies. © 2016 Wiley Periodicals, Inc.
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Affiliation(s)
- Frida Printzlau
- Great Ormond Street Hospital Institute of Child Health, University College London, United Kingdom
| | - Jeanne Wolstencroft
- Great Ormond Street Hospital Institute of Child Health, University College London, United Kingdom
| | - David H Skuse
- Great Ormond Street Hospital Institute of Child Health, University College London, United Kingdom
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23
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Carrel L, Brown CJ. When the Lyon(ized chromosome) roars: ongoing expression from an inactive X chromosome. Philos Trans R Soc Lond B Biol Sci 2017; 372:20160355. [PMID: 28947654 PMCID: PMC5627157 DOI: 10.1098/rstb.2016.0355] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/24/2017] [Indexed: 12/21/2022] Open
Abstract
A tribute to Mary Lyon was held in October 2016. Many remarked about Lyon's foresight regarding many intricacies of the X-chromosome inactivation process. One such example is that a year after her original 1961 hypothesis she proposed that genes with Y homologues should escape from X inactivation to achieve dosage compensation between males and females. Fifty-five years later we have learned many details about these escapees that we attempt to summarize in this review, with a particular focus on recent findings. We now know that escapees are not rare, particularly on the human X, and that most lack functionally equivalent Y homologues, leading to their increasingly recognized role in sexually dimorphic traits. Newer sequencing technologies have expanded profiling of primary tissues that will better enable connections to sex-biased disorders as well as provide additional insights into the X-inactivation process. Chromosome organization, nuclear location and chromatin environments distinguish escapees from other X-inactivated genes. Nevertheless, several big questions remain, including what dictates their distinct epigenetic environment, the underlying basis of species differences in escapee regulation, how different classes of escapees are distinguished, and the roles that local sequences and chromosome ultrastructure play in escapee regulation.This article is part of the themed issue 'X-chromosome inactivation: a tribute to Mary Lyon'.
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Affiliation(s)
- Laura Carrel
- Department of Biochemistry and Molecular Biology, Penn State College of Medicine, 500 University Drive, Mail code H171, Hershey, PA 17033, USA
| | - Carolyn J Brown
- Department of Medical Genetics, Molecular Epigenetics Group, Life Sciences Institute, University of British Columbia, 2350 Health Sciences Mall, Vancouver, Canada BC V6T 1Z3
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24
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Wang Q, Mank JE, Li J, Yang N, Qu L. Allele-Specific Expression Analysis Does Not Support Sex Chromosome Inactivation on the Chicken Z Chromosome. Genome Biol Evol 2017; 9:619-626. [PMID: 28391319 PMCID: PMC5381566 DOI: 10.1093/gbe/evx031] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/22/2017] [Indexed: 12/27/2022] Open
Abstract
Heterogametic sex chromosomes have evolved many times independently, and in many cases, the loss of functional genes from the sex-limited Y or W chromosome leaves only one functional gene copy on the corresponding X or Z chromosome in the heterogametic sex. Because gene dose often correlates with gene expression level, this difference in gene dose between males and females for X- or Z-linked genes in some cases has selected for chromosome-wide transcriptional dosage compensation mechanisms to counteract any reduction in expression in the heterogametic sex. These mechanisms are thought to restore the balance between sex-linked loci and the autosomal genes they interact with, and this also typically results in equal expression between the sexes. However, dosage compensation in many other species is incomplete, and in the case of birds average expression from males (ZZ) remains higher than in females (ZW). Interestingly, recent reports in chickens and related species have shown that the Z chromosome is expressed less in males than would be expected from two copies of the chromosome, and recent data from cell-based approaches on 11 loci in chicken have suggested that one Z chromosome is partially inactivated in males, in a mechanism thought to be homologous to X inactivation in therian mammals. In the present study, we use controlled crosses in three tissues to test for the presence of Z inactivation in males, which would be expected to bias transcription to the active gene copy (allele-specific expression). We show that for the vast majority of genes on the chicken Z chromosome, males express both parental alleles at statistically similar levels, indicating no Z chromosome inactivation. For those Z chromosome loci with detectable ASE in males, we show that the most likely cause is cis-regulatory variation, rather than Z chromosome inactivation. Taken together, our results indicate that unlike the X chromosome in mammals, Z inactivation does not affect an appreciable number of loci in chicken.
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Affiliation(s)
- Qiong Wang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Judith E Mank
- Department of Genetics Evolution and Environment, University College London, United Kingdom
| | - Junying Li
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Ning Yang
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
| | - Lujiang Qu
- Department of Animal Genetics and Breeding, National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, Beijing, China
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25
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Tukiainen T, Villani AC, Yen A, Rivas MA, Marshall JL, Satija R, Aguirre M, Gauthier L, Fleharty M, Kirby A, Cummings BB, Castel SE, Karczewski KJ, Aguet F, Byrnes A, Lappalainen T, Regev A, Ardlie KG, Hacohen N, MacArthur DG. Landscape of X chromosome inactivation across human tissues. Nature 2017; 550:244-248. [PMID: 29022598 PMCID: PMC5685192 DOI: 10.1038/nature24265] [Citation(s) in RCA: 580] [Impact Index Per Article: 82.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2016] [Accepted: 09/28/2017] [Indexed: 12/16/2022]
Abstract
X chromosome inactivation (XCI) silences transcription from one of the two X chromosomes in female mammalian cells to balance expression dosage between XX females and XY males. XCI is, however, incomplete in humans: up to one-third of X-chromosomal genes are expressed from both the active and inactive X chromosomes (Xa and Xi, respectively) in female cells, with the degree of 'escape' from inactivation varying between genes and individuals. The extent to which XCI is shared between cells and tissues remains poorly characterized, as does the degree to which incomplete XCI manifests as detectable sex differences in gene expression and phenotypic traits. Here we describe a systematic survey of XCI, integrating over 5,500 transcriptomes from 449 individuals spanning 29 tissues from GTEx (v6p release) and 940 single-cell transcriptomes, combined with genomic sequence data. We show that XCI at 683 X-chromosomal genes is generally uniform across human tissues, but identify examples of heterogeneity between tissues, individuals and cells. We show that incomplete XCI affects at least 23% of X-chromosomal genes, identify seven genes that escape XCI with support from multiple lines of evidence and demonstrate that escape from XCI results in sex biases in gene expression, establishing incomplete XCI as a mechanism that is likely to introduce phenotypic diversity. Overall, this updated catalogue of XCI across human tissues helps to increase our understanding of the extent and impact of the incompleteness in the maintenance of XCI.
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Affiliation(s)
- Taru Tukiainen
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Angela Yen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | - Manuel A. Rivas
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Jamie L. Marshall
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Rahul Satija
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- New York Genome Center, New York, NY 10013, USA
- Center for Genomics and Systems Biology, Department of Biology, New York University, New York, NY 10003, USA
| | - Matt Aguirre
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Laura Gauthier
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Mark Fleharty
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrew Kirby
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Beryl B. Cummings
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Stephane E. Castel
- New York Genome Center, New York, NY 10013, USA
- Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Konrad J. Karczewski
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - François Aguet
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Andrea Byrnes
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | | | - Tuuli Lappalainen
- New York Genome Center, New York, NY 10013, USA
- Department of Systems Biology, Columbia University, New York, NY 10032, USA
| | - Aviv Regev
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
| | | | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
- Center for Immunology and Inflammatory Diseases, Massachusetts General Hospital, Charlestown, MA 02129, USA
| | - Daniel G. MacArthur
- Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114, USA
- Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
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26
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Dosage compensation in the process of inactivation/reactivation during both germ cell development and early embryogenesis in mouse. Sci Rep 2017. [PMID: 28623283 PMCID: PMC5473838 DOI: 10.1038/s41598-017-03829-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Ohno proposed that dosage compensation in mammals evolved as a two-step mechanism involving X-inactivation and X-upregulation. While X-inactivation is well characterized, it remains to further analysis whether upregulation of the single activated X chromosome in mammals occurs. We obtained RNA-seq data, including single-cell RNA-seq data, from cells undergoing inactivation/reactivation in both germ cell development and early embryogenesis stages in mouse and calculated the X: A ratio from the gene expression. Our results showed that the X: A ratio is always 1, regardless of the number of X chromosomes being transcribed for expressed genes. Furthermore, the single-cell RNA-seq data across individual cells of mouse preimplantation embryos of mixed backgrounds indicated that strain-specific SNPs could be used to distinguish transcription from maternal and paternal chromosomes and further showed that when the paternal was inactivated, the average gene dosage of the active maternal X chromosome was increased to restore the balance between the X chromosome and autosomes. In conclusion, our analysis of RNA-seq data (particularly single-cell RNA-seq) from cells undergoing the process of inactivation/reactivation provides direct evidence that the average gene dosage of the single active X chromosome is upregulated to achieve a similar level to that of two active X chromosomes and autosomes present in two copies.
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27
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Min B, Park JS, Jeon K, Kang YK. Characterization of X-Chromosome Gene Expression in Bovine Blastocysts Derived by In vitro Fertilization and Somatic Cell Nuclear Transfer. Front Genet 2017; 8:42. [PMID: 28443134 PMCID: PMC5385346 DOI: 10.3389/fgene.2017.00042] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Accepted: 03/24/2017] [Indexed: 12/26/2022] Open
Abstract
To better understand X-chromosome reactivation (XCR) during early development, we analyzed transcriptomic data obtained from bovine male and female blastocysts derived by in-vitro fertilization (IVF) or somatic-cell nuclear transfer (SCNT). We found that X-linked genes were upregulated by almost two-fold in female compared with male IVF blastocysts. The upregulation of X-linked genes in female IVFs indicated a transcriptional dimorphism between the sexes, because the mean autosomal gene expression levels were relatively constant, regardless of sex. X-linked genes were expressed equivalently in the inner-cell mass and the trophectoderm parts of female blastocysts, indicating no imprinted inactivation of paternal X in the trophectoderm. All these features of X-linked gene expression observed in IVFs were also detected in SCNT blastocysts, although to a lesser extent. A heatmap of X-linked gene expression revealed that the initial resemblance of X-linked gene expression patterns between male and female donor cells turned sexually divergent in host SCNTs, ultimately resembling the patterns of male and female IVFs. Additionally, we found that sham SCNT blastocysts, which underwent the same nuclear-transfer procedures, but retained their embryonic genome, closely mimicked IVFs for X-linked gene expression, which indicated that the embryo manipulation procedure itself does not interfere with XCR in SCNT blastocysts. Our findings indicated that female SCNTs have less efficient XCR, suggesting that clonal reprogramming of X chromosomes is incomplete and occurs variably among blastocysts, and even among cells in a single blastocyst.
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Affiliation(s)
- Byungkuk Min
- Development and Differentiation Research Center, Korea Research Institute of Bioscience BiotechnologyDaejeon, South Korea
| | - Jung Sun Park
- Development and Differentiation Research Center, Korea Research Institute of Bioscience BiotechnologyDaejeon, South Korea
| | - Kyuheum Jeon
- Development and Differentiation Research Center, Korea Research Institute of Bioscience BiotechnologyDaejeon, South Korea
| | - Yong-Kook Kang
- Development and Differentiation Research Center, Korea Research Institute of Bioscience BiotechnologyDaejeon, South Korea
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28
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Sun YX, Zhang YX, Zhang D, Xu CM, Chen SC, Zhang JY, Ruan YC, Chen F, Zhang RJ, Qian YQ, Liu YF, Jin LY, Yu TT, Xu HY, Luo YQ, Liu XM, Sun F, Sheng JZ, Huang HF. XCI-escaping gene KDM5C contributes to ovarian development via downregulating miR-320a. Hum Genet 2016; 136:227-239. [PMID: 27896428 DOI: 10.1007/s00439-016-1752-9] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2016] [Accepted: 11/22/2016] [Indexed: 01/03/2023]
Abstract
Mechanisms underlying female gonadal dysgenesis remain unclarified and relatively unstudied. Whether X-chromosome inactivation (XCI)-escaping genes and microRNAs (miRNAs) contribute to this condition is currently unknown. We compared 45,X Turner Syndrome women with 46,XX normal women, and investigated differentially expressed miRNAs in Turner Syndrome through plasma miRNA sequencing. We found that miR-320a was consistently upregulated not only in 45,X plasma and peripheral blood mononuclear cells (PBMCs), but also in 45,X fetal gonadal tissues. The levels of miR-320a in PBMCs from 45,X, 46,XX, 46,XY, and 47,XXY human subjects were inversely related to the expression levels of XCI-escaping gene KDM5C in PBMCs. In vitro models indicated that KDM5C suppressed miR-320a transcription by directly binding to the promoter of miR-320a to prevent histone methylation. In addition, we demonstrated that KITLG, an essential gene for ovarian development and primordial germ cell survival, was a direct target of miR-320a and that it was downregulated in 45,X fetal gonadal tissues. In conclusion, we demonstrated that downregulation of miR-320a by the XCI-escaping gene KDM5C contributed to ovarian development by targeting KITLG.
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Affiliation(s)
- Yi-Xi Sun
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Yi-Xin Zhang
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Dan Zhang
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Chen-Ming Xu
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Song-Chang Chen
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jun-Yu Zhang
- International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education (Shanghai Jiao Tong University), Shanghai, 200030, China
| | - Ye-Chun Ruan
- Epithelial Cell Biology Research Centre, School of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Feng Chen
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Run-Ju Zhang
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Ye-Qing Qian
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Yi-Feng Liu
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Lu-Yang Jin
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China
| | - Tian-Tian Yu
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Hai-Yan Xu
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Yu-Qin Luo
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Reproductive Endocrinology, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, 310006, Zhejiang, China
| | - Xin-Mei Liu
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Fei Sun
- International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China.,Institute of Embryo-Fetal Original Adult Disease and Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China
| | - Jian-Zhong Sheng
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China.,Department of Pathology and Pathophysiology, School of Medicine, Zhejiang University, Hangzhou, 310000, Zhejiang, China
| | - He-Feng Huang
- Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310058, Zhejiang, China. .,International Peace Maternal and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China. .,Institute of Embryo-Fetal Original Adult Disease and Shanghai Key Laboratory for Reproductive Medicine, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200030, China. .,Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Ministry of Education (Shanghai Jiao Tong University), Shanghai, 200030, China. .,Key Laboratory of Reproductive Genetics, Ministry of Education (Zhejiang University), Hangzhou, 310006, Zhejiang, China.
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29
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Dunford A, Weinstock DM, Savova V, Schumacher SE, Cleary JP, Yoda A, Sullivan TJ, Hess JM, Gimelbrant AA, Beroukhim R, Lawrence MS, Getz G, Lane AA. Tumor-suppressor genes that escape from X-inactivation contribute to cancer sex bias. Nat Genet 2016; 49:10-16. [PMID: 27869828 PMCID: PMC5206905 DOI: 10.1038/ng.3726] [Citation(s) in RCA: 248] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 10/24/2016] [Indexed: 12/14/2022]
Abstract
There is a striking and unexplained male predominance across many cancer types. A subset of X-chromosome genes can escape X-inactivation, which would protect females from complete functional loss by a single mutation. To identify putative 'escape from X-inactivation tumor-suppressor' (EXITS) genes, we examined somatic alterations from >4,100 cancers across 21 tumor types for sex bias. Six of 783 non-pseudoautosomal region (PAR) X-chromosome genes (ATRX, CNKSR2, DDX3X, KDM5C, KDM6A, and MAGEC3) harbored loss-of-function mutations more frequently in males (based on a false discovery rate < 0.1), in comparison to zero of 18,055 autosomal and PAR genes (Fisher's exact P < 0.0001). Male-biased mutations in genes that escape X-inactivation were observed in combined analysis across many cancers and in several individual tumor types, suggesting a generalized phenomenon. We conclude that biallelic expression of EXITS genes in females explains a portion of the reduced cancer incidence in females as compared to males across a variety of tumor types.
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Affiliation(s)
- Andrew Dunford
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - David M Weinstock
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Virginia Savova
- Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.,Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Steven E Schumacher
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - John P Cleary
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | - Akinori Yoda
- Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
| | | | - Julian M Hess
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA
| | - Alexander A Gimelbrant
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA.,Department of Genetics, Harvard Medical School, Boston, Massachusetts, USA
| | - Rameen Beroukhim
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA.,Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
| | - Michael S Lawrence
- Department of Pathology and Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Gad Getz
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Pathology and Cancer Center, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Andrew A Lane
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts, USA
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30
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Chan WH, Mohamad MS, Deris S, Zaki N, Kasim S, Omatu S, Corchado JM, Al Ashwal H. Identification of informative genes and pathways using an improved penalized support vector machine with a weighting scheme. Comput Biol Med 2016; 77:102-15. [PMID: 27522238 DOI: 10.1016/j.compbiomed.2016.08.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2016] [Revised: 08/03/2016] [Accepted: 08/03/2016] [Indexed: 01/03/2023]
Abstract
Incorporation of pathway knowledge into microarray analysis has brought better biological interpretation of the analysis outcome. However, most pathway data are manually curated without specific biological context. Non-informative genes could be included when the pathway data is used for analysis of context specific data like cancer microarray data. Therefore, efficient identification of informative genes is inevitable. Embedded methods like penalized classifiers have been used for microarray analysis due to their embedded gene selection. This paper proposes an improved penalized support vector machine with absolute t-test weighting scheme to identify informative genes and pathways. Experiments are done on four microarray data sets. The results are compared with previous methods using 10-fold cross validation in terms of accuracy, sensitivity, specificity and F-score. Our method shows consistent improvement over the previous methods and biological validation has been done to elucidate the relation of the selected genes and pathway with the phenotype under study.
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Affiliation(s)
- Weng Howe Chan
- Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia
| | - Mohd Saberi Mohamad
- Artificial Intelligence and Bioinformatics Research Group, Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia.
| | - Safaai Deris
- Faculty of Creative Technology & Heritage, Universiti Malaysia Kelantan, Locked Bag 01, Bachok, 16300 Kota Bharu, Kelantan, Malaysia
| | - Nazar Zaki
- College of Information Technology, United Arab Emirate University, Al Ain 15551, United Arab Emirates
| | - Shahreen Kasim
- Faculty of Computer Science and Information Technology, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Malaysia
| | - Sigeru Omatu
- Department of Electronics, Information and Communication Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan
| | - Juan Manuel Corchado
- Biomedical Research Institute of Salamanca/BISITE Research Group, University of Salamanca, Salamanca, Spain
| | - Hany Al Ashwal
- College of Information Technology, United Arab Emirate University, Al Ain 15551, United Arab Emirates
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31
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Ka S, Ahn H, Seo M, Kim H, Kim JN, Lee HJ. Status of dosage compensation of X chromosome in bovine genome. Genetica 2016; 144:435-44. [PMID: 27376899 DOI: 10.1007/s10709-016-9912-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 06/27/2016] [Indexed: 01/18/2023]
Abstract
Dosage compensation system with X chromosome upregulation and inactivation have evolved to overcome the genetic imbalance between sex chromosomes in both male and female of mammals. Although recent development of chromosome-wide technologies has allowed us to test X upregulation, discrete data processing and analysis methods draw disparate conclusions. A series of expression studies revealed status of dosage compensation in some species belonging to monotremes, marsupials, rodents and primates. However, X upregulation in the Artiodactyla order including cattle have not been studied yet. In this study, we surveyed the genome-wide transcriptional upregulation in X chromosome in cattle RNA-seq data using different gene filtration methods. Overall examination of RNA-seq data revealed that X chromosome in the pituitary gland expressed more genes than in other peripheral tissues, which was consistent with the previous results observed in human and mouse. When analyzed with globally expressed genes, a median X:A expression ratio was 0.94. The ratio of 1-to-1 ortholog genes between chicken and mammals, however, showed considerable reduction to 0.68. These results indicate that status of dosage compensation for cattle is not deviated from those found in rodents and primate, and this is consistent with the evolutionary history of cattle.
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Affiliation(s)
- Sojeong Ka
- Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Hyeonju Ahn
- Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Minseok Seo
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea
- C&K Genomics Inc., Seoul National University Research Park, Seoul, 08826, Republic of Korea
| | - Heebal Kim
- Department of Agricultural Biotechnology, College of Agriculture and Life Sciences, Seoul National University, Seoul, 08826, Republic of Korea
- Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, 08826, Republic of Korea
| | - Jin Nam Kim
- C&K Genomics Inc., Seoul National University Research Park, Seoul, 08826, Republic of Korea.
| | - Hyun-Jeong Lee
- Animal Nutritional Physiology Team, National Institute of Animal Science, Jeonju, Jeollabuk-Do, 55365, Republic of Korea.
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32
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Arnold AP, Reue K, Eghbali M, Vilain E, Chen X, Ghahramani N, Itoh Y, Li J, Link JC, Ngun T, Williams-Burris SM. The importance of having two X chromosomes. Philos Trans R Soc Lond B Biol Sci 2016; 371:20150113. [PMID: 26833834 DOI: 10.1098/rstb.2015.0113] [Citation(s) in RCA: 68] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/08/2015] [Indexed: 12/14/2022] Open
Abstract
Historically, it was thought that the number of X chromosomes plays little role in causing sex differences in traits. Recently, selected mouse models have been used increasingly to compare mice with the same type of gonad but with one versus two copies of the X chromosome. Study of these models demonstrates that mice with one X chromosome can be strikingly different from those with two X chromosomes, when the differences are not attributable to confounding group differences in gonadal hormones. The number of X chromosomes affects adiposity and metabolic disease, cardiovascular ischaemia/reperfusion injury and behaviour. The effects of X chromosome number are likely the result of inherent differences in expression of X genes that escape inactivation, and are therefore expressed from both X chromosomes in XX mice, resulting in a higher level of expression when two X chromosomes are present. The effects of X chromosome number contribute to sex differences in disease phenotypes, and may explain some features of X chromosome aneuploidies such as in Turner and Klinefelter syndromes.
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Affiliation(s)
- Arthur P Arnold
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
| | - Karen Reue
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Mansoureh Eghbali
- Department of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Eric Vilain
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Department of Pediatrics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Xuqi Chen
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
| | - Negar Ghahramani
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
| | - Yuichiro Itoh
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
| | - Jingyuan Li
- Department of Anesthesiology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Jenny C Link
- Molecular Biology Institute, University of California, Los Angeles, Los Angeles, CA, USA Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Tuck Ngun
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
| | - Shayna M Williams-Burris
- Department of Integrative Biology and Physiology, University of California, Los Angeles, Los Angeles, CA, USA Interdepartmental Program for Neuroscience, University of California, Los Angeles, Los Angeles, CA, USA Laboratory of Neuroendocrinology, UCLA Brain Research Institute, Los Angeles, CA, USA
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33
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The X factor: X chromosome dosage compensation in the evolutionarily divergent monotremes and marsupials. Semin Cell Dev Biol 2016; 56:117-121. [PMID: 26806635 DOI: 10.1016/j.semcdb.2016.01.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2015] [Revised: 12/21/2015] [Accepted: 01/06/2016] [Indexed: 11/22/2022]
Abstract
Marsupials and monotremes represent evolutionarily divergent lineages from the majority of extant mammals which are eutherian, or placental, mammals. Monotremes possess multiple X and Y chromosomes that appear to have arisen independently of eutherian and marsupial sex chromosomes. Dosage compensation of X-linked genes occurs in monotremes on a gene-by-gene basis, rather than through chromosome-wide silencing, as is the case in eutherians and marsupials. Specifically, studies in the platypus have shown that for any given X-linked gene, a specific proportion of nuclei within a cell population will silence one locus, with the percentage of cells undergoing inactivation at that locus being highly gene-specific. Hence, it is perhaps not surprising that the expression level of X-linked genes in female platypus is almost double that in males. This is in contrast to the situation in marsupials where one of the two X chromosomes is inactivated in females by the long non-coding RNA RSX, a functional analogue of the eutherian XIST. However, marsupial X chromosome inactivation differs from that seen in eutherians in that it is exclusively the paternal X chromosome that is silenced. In addition, marsupials appear to have globally upregulated X-linked gene expression in both sexes, thus balancing their expression levels with those of the autosomes, a process initially proposed by Ohno in 1967 as being a fundamental component of the X chromosome dosage compensation mechanism but which may not have evolved in eutherians.
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Balaton BP, Cotton AM, Brown CJ. Derivation of consensus inactivation status for X-linked genes from genome-wide studies. Biol Sex Differ 2015; 6:35. [PMID: 26719789 PMCID: PMC4696107 DOI: 10.1186/s13293-015-0053-7] [Citation(s) in RCA: 131] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2015] [Accepted: 12/14/2015] [Indexed: 12/04/2022] Open
Abstract
Background X chromosome inactivation is the epigenetic silencing of the majority of the genes on one of the X chromosomes in XX therian mammals. In humans, approximately 15 % of genes consistently escape from this inactivation and another 15 % of genes vary between individuals or tissues in whether they are subject to, or escape from, inactivation. Multiple studies have provided inactivation status calls for a large subset of the genes on the X chromosome; however, these studies vary in which genes they were able to make calls for and in some cases which call they give a specific gene. Methods This analysis aggregated three published studies that have examined X chromosome inactivation status of genes across the X chromosome, generating consensus calls and identifying discordancies. The impact of expression level and chromosomal location on X chromosome inactivation status was also assessed. Results Overall, we assigned a consensus XCI status 639 genes, including 78 % of protein-coding genes expressed outside of the testes, with a lower frequency for non-coding RNA and testis-specific genes. Study-specific discordancies suggest that there may be instability of XCI during cell culture and also highlight study-specific variations in call type. We observe an enrichment of discordant genes at boundaries between genes subject to and escaping from inactivation. Conclusions This study has compiled a comprehensive list of X-chromosome inactivation statuses for genes and also discovered some biases which will help guide future studies examining X-chromosome inactivation. Electronic supplementary material The online version of this article (doi:10.1186/s13293-015-0053-7) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Bradley P Balaton
- Department of Medical Genetics, Molecular Epigenetics Group, Life Sciences Institute, University of British Columbia, Vancouver, Canada
| | - Allison M Cotton
- Department of Medical Genetics, Centre for Molecular Medicine and Therapeutics, Child and Family Research Institute, University of British Columbia, Vancouver, BC Canada
| | - Carolyn J Brown
- Department of Medical Genetics, Molecular Epigenetics Group, Life Sciences Institute, University of British Columbia, Vancouver, Canada
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Over-expression of XIST, the Master Gene for X Chromosome Inactivation, in Females With Major Affective Disorders. EBioMedicine 2015; 2:909-18. [PMID: 26425698 PMCID: PMC4563114 DOI: 10.1016/j.ebiom.2015.06.012] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2015] [Revised: 06/05/2015] [Accepted: 06/11/2015] [Indexed: 11/23/2022] Open
Abstract
Background Psychiatric disorders are common mental disorders without a pathological biomarker. Classic genetic studies found that an extra X chromosome frequently causes psychiatric symptoms in patients with either Klinefelter syndrome (XXY) or Triple X syndrome (XXX). Over-dosage of some X-linked escapee genes was suggested to cause psychiatric disorders. However, relevance of these rare genetic diseases to the pathogenesis of psychiatric disorders in the general population of psychiatric patients is unknown. Methods XIST and several X-linked genes were studied in 36 lymphoblastoid cell lines from healthy females and 60 lymphoblastoid cell lines from female patients with either bipolar disorder or recurrent major depression. XIST and KDM5C expression was also quantified in 48 RNA samples from postmortem human brains of healthy female controls and female psychiatric patients. Findings We found that the XIST gene, a master in control of X chromosome inactivation (XCI), is significantly over-expressed (p = 1 × 10− 7, corrected after multiple comparisons) in the lymphoblastoid cells of female patients with either bipolar disorder or major depression. The X-linked escapee gene KDM5C also displays significant up-regulation (p = 5.3 × 10− 7, corrected after multiple comparisons) in the patients' cells. Expression of XIST and KDM5C is highly correlated (Pearson's coefficient, r = 0.78, p = 1.3 × 10− 13). Studies on human postmortem brains supported over-expression of the XIST gene in female psychiatric patients. Interpretations We propose that over-expression of XIST may cause or result from subtle alteration of XCI, which up-regulates the expression of some X-linked escapee genes including KDM5C. Over-expression of X-linked genes could be a common mechanism for the development of psychiatric disorders between patients with those rare genetic diseases and the general population of female psychiatric patients with XIST over-expression. Our studies suggest that XIST and KDM5C expression could be used as a biological marker for diagnosis of psychiatric disorders in a significantly large subset of female patients. Research in context Due to lack of biological markers, diagnosis and treatment of psychiatric disorders are subjective. There is utmost urgency to identify biomarkers for clinics, research, and drug development. We found that XIST and KDM5C gene expression may be used as a biological marker for diagnosis of major affective disorders in a significantly large subset of female patients from the general population. Our studies show that over-expression of XIST and some X-linked escapee genes may be a common mechanism for development of psychiatric disorders between the patients with rare genetic diseases (XXY or XXX) and the general population of female psychiatric patients. XIST and KDM5C genes are over-expressed in a large subset of female patients with major affective disorders. Over-expression of XIST and KDM5C genes could be used as a biomarker for diagnosis of individual patients. Over-expression of XIST and X-linked escapee genes including KDM5C may cause major affective disorders.
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Xp11.2 microduplications including IQSEC2, TSPYL2 and KDM5C genes in patients with neurodevelopmental disorders. Eur J Hum Genet 2015; 24:373-80. [PMID: 26059843 DOI: 10.1038/ejhg.2015.123] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 03/26/2015] [Accepted: 05/06/2015] [Indexed: 01/06/2023] Open
Abstract
Copy number variations are a common cause of intellectual disability (ID). Determining the contribution of copy number variants (CNVs), particularly gains, to disease remains challenging. Here, we report four males with ID with sub-microscopic duplications at Xp11.2 and review the few cases with overlapping duplications reported to date. We established the extent of the duplicated regions in each case encompassing a minimum of three known disease genes TSPYL2, KDM5C and IQSEC2 with one case also duplicating the known disease gene HUWE1. Patients with a duplication encompassing TSPYL2, KDM5C and IQSEC2 without gains of nearby SMC1A and HUWE1 genes have not been reported thus far. All cases presented with ID and significant deficits of speech development. Some patients also manifested behavioral disturbances such as hyperactivity and attention-deficit/hyperactivity disorder. Lymphoblastic cell lines from patients show markedly elevated levels of TSPYL2, KDM5C and SMC1A, transcripts consistent with the extent of their CNVs. The duplicated region in our patients contains several genes known to escape X-inactivation, including KDM5C, IQSEC2 and SMC1A. In silico analysis of expression data in selected gene expression omnibus series indicates that dosage of these genes, especially IQSEC2, is similar in males and females despite the fact they escape from X-inactivation in females. Taken together, the data suggest that gains in Xp11.22 including IQSEC2 cause ID and are associated with hyperactivity and attention-deficit/hyperactivity disorder, and are likely to be dosage-sensitive in males.
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Crowley JJ, Zhabotynsky V, Sun W, Huang S, Pakatci IK, Kim Y, Wang JR, Morgan AP, Calaway JD, Aylor DL, Yun Z, Bell TA, Buus RJ, Calaway ME, Didion JP, Gooch TJ, Hansen SD, Robinson NN, Shaw GD, Spence JS, Quackenbush CR, Barrick CJ, Nonneman RJ, Kim K, Xenakis J, Xie Y, Valdar W, Lenarcic AB, Wang W, Welsh CE, Fu CP, Zhang Z, Holt J, Guo Z, Threadgill DW, Tarantino LM, Miller DR, Zou F, McMillan L, Sullivan PF, Pardo-Manuel de Villena F. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance. Nat Genet 2015; 47:353-60. [PMID: 25730764 PMCID: PMC4380817 DOI: 10.1038/ng.3222] [Citation(s) in RCA: 162] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2014] [Accepted: 01/26/2015] [Indexed: 12/15/2022]
Abstract
Complex human traits are influenced by variation in regulatory DNA through mechanisms that are not fully understood. Since regulatory elements are conserved between humans and mice, a thorough annotation of cis regulatory variants in mice could aid in this process. Here we provide a detailed portrait of mouse gene expression across multiple tissues in a three-way diallel. Greater than 80% of mouse genes have cis regulatory variation. These effects influence complex traits and usually extend to the human ortholog. Further, we estimate that at least one in every thousand SNPs creates a cis regulatory effect. We also observe two types of parent-of-origin effects, including classical imprinting and a novel, global allelic imbalance in favor of the paternal allele. We conclude that, as with humans, pervasive regulatory variation influences complex genetic traits in mice and provide a new resource toward understanding the genetic control of transcription in mammals.
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Affiliation(s)
- James J Crowley
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Vasyl Zhabotynsky
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Wei Sun
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Shunping Huang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Isa Kemal Pakatci
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yunjung Kim
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jeremy R Wang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Andrew P Morgan
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John D Calaway
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David L Aylor
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Zaining Yun
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Timothy A Bell
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ryan J Buus
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Mark E Calaway
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - John P Didion
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Terry J Gooch
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Stephanie D Hansen
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nashiya N Robinson
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Ginger D Shaw
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Jason S Spence
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Corey R Quackenbush
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Cordelia J Barrick
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Randal J Nonneman
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Kyungsu Kim
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - James Xenakis
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Yuying Xie
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - William Valdar
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Alan B Lenarcic
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Wei Wang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Catherine E Welsh
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Chen-Ping Fu
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Zhaojun Zhang
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - James Holt
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Zhishan Guo
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - David W Threadgill
- Department of Molecular and Cellular Medicine, Texas A&M Health Science Center, College Station, Texas, USA
| | - Lisa M Tarantino
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Darla R Miller
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Fei Zou
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Leonard McMillan
- Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Patrick F Sullivan
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [4] Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Fernando Pardo-Manuel de Villena
- 1] Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [2] Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. [3] Carolina Center for Genome Sciences, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
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Laiho A, Elo LL. A note on an exon-based strategy to identify differentially expressed genes in RNA-seq experiments. PLoS One 2014; 9:e115964. [PMID: 25541961 PMCID: PMC4277429 DOI: 10.1371/journal.pone.0115964] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 12/03/2014] [Indexed: 11/25/2022] Open
Abstract
RNA-sequencing (RNA-seq) has rapidly become the method of choice in many genome-wide transcriptomic studies. To meet the high expectations posed by this technology, powerful computational techniques are needed to translate the measurements into biological and biomedical understanding. A number of statistical procedures have already been developed to identify differentially expressed genes between distinct sample groups. With these methods statistical testing is typically performed after the data has been summarized at the gene level. As an alternative strategy, developed with the aim to improve the results, we demonstrate a method in which statistical testing at the exon level is performed prior to the summary of the results at the gene level. Using publicly available RNA-seq datasets as case studies, we illustrate how this exon-based strategy can improve the performance of the widely used differential expression software packages as compared to the conventional gene-based strategy. In particular, we show how it enables robust detection of moderate but systematic changes that are missed when relying on single gene-level summary counts only.
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Affiliation(s)
- Asta Laiho
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
- * E-mail: (AL); (LLE)
| | - Laura L. Elo
- Turku Centre for Biotechnology, University of Turku and Åbo Akademi University, Turku, Finland
- Department of Mathematics and Statistics, University of Turku, Turku, Finland
- * E-mail: (AL); (LLE)
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Paternal X inactivation does not correlate with X chromosome evolutionary strata in marsupials. BMC Evol Biol 2014; 14:267. [PMID: 25539578 PMCID: PMC4302592 DOI: 10.1186/s12862-014-0267-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2014] [Accepted: 12/11/2014] [Indexed: 11/10/2022] Open
Abstract
Background X chromosome inactivation is the transcriptional silencing of one X chromosome in the somatic cells of female mammals. In eutherian mammals (e.g. humans) one of the two X chromosomes is randomly chosen for silencing, with about 15% (usually in younger evolutionary strata of the X chromosome) of genes escaping this silencing. In contrast, in the distantly related marsupial mammals the paternally derived X is silenced, although not as completely as the eutherian X. A chromosome wide examination of X inactivation, using RNA-seq, was recently undertaken in grey short-tailed opossum (Monodelphis domestica) brain and extraembryonic tissues. However, no such study has been conduced in Australian marsupials, which diverged from their American cousins ~80 million years ago, leaving a large gap in our understanding of marsupial X inactivation. Results We used RNA-seq data from blood or liver of a family (mother, father and daughter) of tammar wallabies (Macropus eugenii), which in conjunction with available genome sequence from the mother and father, permitted genotyping of 42 expressed heterozygous SNPs on the daughter’s X. These 42 SNPs represented 34 X loci, of which 68% (23 of the 34) were confirmed as inactivated on the paternally derived X in the daughter’s liver; the remaining 11 X loci escaped inactivation. Seven of the wallaby loci sampled were part of the old X evolutionary stratum, of which three escaped inactivation. Three loci were classified as part of the newer X stratum, of which two escaped inactivation. A meta-analysis of previously published opossum X inactivation data revealed that 5 of 52 genes in the old X stratum escaped inactivation. Conclusions We demonstrate that chromosome wide inactivation of the paternal X is common to an Australian marsupial representative, but that there is more escape from inactivation than reported for opossum (32% v 14%). We also provide evidence that, unlike the human X chromosome, the location of loci within the oldest evolutionary stratum on the marsupial X does not correlate with their probability of escape from inactivation. Electronic supplementary material The online version of this article (doi:10.1186/s12862-014-0267-z) contains supplementary material, which is available to authorized users.
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Smith G, Chen YR, Blissard GW, Briscoe AD. Complete dosage compensation and sex-biased gene expression in the moth Manduca sexta. Genome Biol Evol 2014; 6:526-37. [PMID: 24558255 PMCID: PMC3971586 DOI: 10.1093/gbe/evu035] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
Sex chromosome dosage compensation balances homogametic sex chromosome expression with autosomal expression in the heterogametic sex, leading to sex chromosome expression parity between the sexes. If compensation is incomplete, this can lead to expression imbalance and sex-biased gene expression. Recent work has uncovered an intriguing and variable pattern of dosage compensation across species that includes a lack of complete dosage compensation in ZW species compared with XY species. This has led to the hypothesis that ZW species do not require complete compensation or that complete compensation would negatively affect their fitness. To date, only one study, a study of the moth Bombyx mori, has discovered evidence for complete dosage compensation in a ZW species. We examined another moth species, Manduca sexta, using high-throughput sequencing to survey gene expression in the head tissue of males and females. We found dosage compensation to be complete in M. sexta with average expression between the Z chromosome in males and females being equal. When genes expressed at very low levels are removed by filtering, we found that average autosome expression was highly similar to average Z expression, suggesting that the majority of genes in M. sexta are completely dosage compensated. Further, this compensation was accompanied by sex-specific gene expression associated with important sexually dimorphic traits. We suggest that complete dosage compensation in ZW species might be more common than previously appreciated and linked to additional selective processes, such as sexual selection. More ZW and lepidopteran species should now be examined in a phylogenetic framework, to understand the evolution of dosage compensation.
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Affiliation(s)
- Gilbert Smith
- Department of Ecology and Evolutionary Biology, University of California, Irvine
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Cox KH, Bonthuis PJ, Rissman EF. Mouse model systems to study sex chromosome genes and behavior: relevance to humans. Front Neuroendocrinol 2014; 35:405-19. [PMID: 24388960 PMCID: PMC4079771 DOI: 10.1016/j.yfrne.2013.12.004] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2013] [Revised: 12/16/2013] [Accepted: 12/20/2013] [Indexed: 10/25/2022]
Abstract
Sex chromosome genes directly influence sex differences in behavior. The discovery of the Sry gene on the Y chromosome (Gubbay et al., 1990; Koopman et al., 1990) substantiated the sex chromosome mechanistic link to sex differences. Moreover, the pronounced connection between X chromosome gene mutations and mental illness produces a strong sex bias in these diseases. Yet, the dominant explanation for sex differences continues to be the gonadal hormones. Here we review progress made on behavioral differences in mouse models that uncouple sex chromosome complement from gonadal sex. We conclude that many social and cognitive behaviors are modified by sex chromosome complement, and discuss the implications for human research. Future directions need to include identification of the genes involved and interactions with these genes and gonadal hormones.
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Affiliation(s)
- Kimberly H Cox
- Department of Biochemistry and Molecular Genetics and Program in Neuroscience, University of Virginia School of Medicine, Charlottesville, VA 22908, United States
| | - Paul J Bonthuis
- Department of Biochemistry and Molecular Genetics and Program in Neuroscience, University of Virginia School of Medicine, Charlottesville, VA 22908, United States
| | - Emilie F Rissman
- Department of Biochemistry and Molecular Genetics and Program in Neuroscience, University of Virginia School of Medicine, Charlottesville, VA 22908, United States.
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Chaligné R, Heard E. X-chromosome inactivation in development and cancer. FEBS Lett 2014; 588:2514-22. [PMID: 24937141 DOI: 10.1016/j.febslet.2014.06.023] [Citation(s) in RCA: 98] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2014] [Accepted: 06/06/2014] [Indexed: 12/21/2022]
Abstract
X-chromosome inactivation represents an epigenetics paradigm and a powerful model system of facultative heterochromatin formation triggered by a non-coding RNA, Xist, during development. Once established, the inactive state of the Xi is highly stable in somatic cells, thanks to a combination of chromatin associated proteins, DNA methylation and nuclear organization. However, sporadic reactivation of X-linked genes has been reported during ageing and in transformed cells and disappearance of the Barr body is frequently observed in cancer cells. In this review we summarise current knowledge on the epigenetic changes that accompany X inactivation and discuss the extent to which the inactive X chromosome may be epigenetically or genetically perturbed in breast cancer.
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Affiliation(s)
- Ronan Chaligné
- Mammalian Developmental Epigenetics Group, Genetics and Developmental Biology Unit, Institut Curie, CNRS UMR3215, INSERM U934, 75248 Paris, France
| | - Edith Heard
- Mammalian Developmental Epigenetics Group, Genetics and Developmental Biology Unit, Institut Curie, CNRS UMR3215, INSERM U934, 75248 Paris, France.
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Deng X, Berletch JB, Nguyen DK, Disteche CM. X chromosome regulation: diverse patterns in development, tissues and disease. Nat Rev Genet 2014; 15:367-78. [PMID: 24733023 PMCID: PMC4117651 DOI: 10.1038/nrg3687] [Citation(s) in RCA: 213] [Impact Index Per Article: 21.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Genes on the mammalian X chromosome are present in one copy in males and two copies in females. The complex mechanisms that regulate the X chromosome lead to evolutionary and physiological variability in gene expression between species, the sexes, individuals, developmental stages, tissues and cell types. In early development, delayed and incomplete X chromosome inactivation (XCI) in some species causes variability in gene expression. Additional diversity stems from escape from XCI and from mosaicism or XCI skewing in females. This causes sex-specific differences that manifest as differential gene expression and associated phenotypes. Furthermore, the complexity and diversity of X dosage regulation affect the severity of diseases caused by X-linked mutations.
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Affiliation(s)
- Xinxian Deng
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Joel B Berletch
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Di K Nguyen
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Christine M Disteche
- 1] Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA. [2] Department of Medicine, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
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Auer PL, Teumer A, Schick U, O’Shaughnessy A, Lo KS, Chami N, Carlson C, de Denus S, Dubé MP, Haessler J, Jackson RD, Kooperberg C, Perreault LPL, Nauck M, Peters U, Rioux JD, Schmidt F, Turcot V, Völker U, Völzke H, Greinacher A, Hsu L, Tardif JC, Diaz GA, Reiner AP, Lettre G. Rare and low-frequency coding variants in CXCR2 and other genes are associated with hematological traits. Nat Genet 2014; 46:629-34. [PMID: 24777453 PMCID: PMC4050975 DOI: 10.1038/ng.2962] [Citation(s) in RCA: 101] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2013] [Accepted: 03/31/2014] [Indexed: 12/15/2022]
Abstract
Hematological traits are important clinical parameters. To test the effects of rare and low-frequency coding variants on hematological traits, we analyzed hemoglobin concentration, hematocrit levels, white blood cell (WBC) counts and platelet counts in 31,340 individuals genotyped on an exome array. We identified several missense variants in CXCR2 associated with reduced WBC count (gene-based P = 2.6 × 10(-13)). In a separate family-based resequencing study, we identified a CXCR2 frameshift mutation in a pedigree with congenital neutropenia that abolished ligand-induced CXCR2 signal transduction and chemotaxis. We also identified missense or splice-site variants in key hematopoiesis regulators (EPO, TFR2, HBB, TUBB1 and SH2B3) associated with blood cell traits. Finally, we were able to detect associations between a rare somatic JAK2 mutation (encoding p.Val617Phe) and platelet count (P = 3.9 × 10(-22)) as well as hemoglobin concentration (P = 0.002), hematocrit levels (P = 9.5 × 10(-7)) and WBC count (P = 3.1 × 10(-5)). In conclusion, exome arrays complement genome-wide association studies in identifying new variants that contribute to complex human traits.
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Affiliation(s)
- Paul L. Auer
- School of Public Health, University of Wisconsin-Milwaukee, 1240 N. 10th Street, Milwaukee WI, 53201, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | - Alexander Teumer
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Ursula Schick
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | - Andrew O’Shaughnessy
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ken Sin Lo
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
| | - Nathalie Chami
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
| | - Chris Carlson
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | - Simon de Denus
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
- Université de Montréal, 2900 Boul. Édouard-Montpetit, Montréal, Québec, H3T 1J4, Canada
| | - Marie-Pierre Dubé
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
- Université de Montréal, 2900 Boul. Édouard-Montpetit, Montréal, Québec, H3T 1J4, Canada
| | - Jeff Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | - Rebecca D. Jackson
- Division of Endocrinology, Diabetes, and Metabolism, Ohio State University, 376 W 10th Avenue, Columbus OH, 43210, USA
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | | | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Germany
| | - Ulrike Peters
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
- Department of Epidemiology, University of Washington School of Public Health, 1959 NE Pacific Street, Seattle WA, 98195, USA
| | - John D. Rioux
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
- Université de Montréal, 2900 Boul. Édouard-Montpetit, Montréal, Québec, H3T 1J4, Canada
| | - Frank Schmidt
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Valérie Turcot
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
| | - Uwe Völker
- Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Germany
| | - Andreas Greinacher
- Institute for Immunology and Transfusion Medicine, University Medicine Greifswald, Germany
| | - Li Hsu
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
| | - Jean-Claude Tardif
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
- Université de Montréal, 2900 Boul. Édouard-Montpetit, Montréal, Québec, H3T 1J4, Canada
| | - George A. Diaz
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Alexander P. Reiner
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., Seattle WA, 98109, USA
- Department of Epidemiology, University of Washington School of Public Health, 1959 NE Pacific Street, Seattle WA, 98195, USA
| | - Guillaume Lettre
- Montreal Heart Institute, 5000 Bélanger Street, Montréal, Quebec, H1T 1C8, Canada
- Université de Montréal, 2900 Boul. Édouard-Montpetit, Montréal, Québec, H3T 1J4, Canada
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45
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Parenti I, Rovina D, Masciadri M, Cereda A, Azzollini J, Picinelli C, Limongelli G, Finelli P, Selicorni A, Russo S, Gervasini C, Larizza L. Overall and allele-specific expression of the SMC1A gene in female Cornelia de Lange syndrome patients and healthy controls. Epigenetics 2014; 9:973-9. [PMID: 24756084 DOI: 10.4161/epi.28903] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Cornelia de Lange syndrome (CdLS) is a rare multisystem disorder characterized by facial dysmorphisms, limb anomalies, and growth and cognitive deficits. Mutations in genes encoding subunits (SMC1A, SMC3, RAD21) or regulators (NIPBL, HDAC8) of the cohesin complex account for approximately 65% of clinically diagnosed CdLS cases. The SMC1A gene (Xp11.22), responsible for 5% of CdLS cases, partially escapes X chromosome inactivation in humans and the allele on the inactive X chromosome is variably expressed. In this study, we evaluated overall and allele-specific SMC1A expression. Real-time PCR analysis conducted on 17 controls showed that SMC1A expression in females is 50% higher than in males. Immunoblotting experiments confirmed a 44% higher protein level in healthy females than in males, and showed no significant differences in SMC1A protein levels between controls and patients. Pyrosequencing was used to assess the reciprocal level of allelic expression in six female carriers of different SMC1A mutations and 15 controls who were heterozygous at a polymorphic transcribed SMC1A locus. The two alleles were expressed at a 1:1 ratio in the control group and at a 2:1 ratio in favor of the wild type allele in the test group. Since a dominant negative effect is considered the pathogenic mechanism in SMC1A-defective female patients, the level of allelic preferential expression might be one of the factors contributing to the wide phenotypic variability observed in these patients. An extension of this study to a larger cohort containing mild to borderline cases could enhance our understanding of the clinical spectrum of SMC1A-linked CdLS.
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Affiliation(s)
- Ilaria Parenti
- Medical Genetics; Department of Health Sciences; Università degli Studi di Milano; Milan, Italy
| | - Davide Rovina
- Medical Genetics; Department of Health Sciences; Università degli Studi di Milano; Milan, Italy
| | - Maura Masciadri
- Laboratory of Medical Cytogenetics and Molecular Genetics; IRCCS Istituto Auxologico Italiano; Milan, Italy
| | - Anna Cereda
- Department of Pediatrics; Università Milano Bicocca; Fondazione MBBM; Monza, Italy
| | - Jacopo Azzollini
- Medical Genetics; Department of Health Sciences; Università degli Studi di Milano; Milan, Italy
| | - Chiara Picinelli
- Laboratory of Medical Cytogenetics and Molecular Genetics; IRCCS Istituto Auxologico Italiano; Milan, Italy
| | - Giuseppe Limongelli
- Department of Cardiology; Monaldi Hospital; Second University of Naples; Naples, Italy
| | - Palma Finelli
- Laboratory of Medical Cytogenetics and Molecular Genetics; IRCCS Istituto Auxologico Italiano; Milan, Italy; Department of Medical Biotechnology and Translational Medicine; Università degli Studi di Milano; Milan, Italy
| | - Angelo Selicorni
- Department of Pediatrics; Università Milano Bicocca; Fondazione MBBM; Monza, Italy
| | - Silvia Russo
- Laboratory of Medical Cytogenetics and Molecular Genetics; IRCCS Istituto Auxologico Italiano; Milan, Italy
| | - Cristina Gervasini
- Medical Genetics; Department of Health Sciences; Università degli Studi di Milano; Milan, Italy
| | - Lidia Larizza
- Medical Genetics; Department of Health Sciences; Università degli Studi di Milano; Milan, Italy; Laboratory of Medical Cytogenetics and Molecular Genetics; IRCCS Istituto Auxologico Italiano; Milan, Italy
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46
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Abstract
Genes on the mammalian X chromosome are present in one copy in males and two copies in females. The complex mechanisms that regulate the X chromosome lead to evolutionary and physiological variability in gene expression between species, the sexes, individuals, developmental stages, tissues and cell types. In early development, delayed and incomplete X chromosome inactivation (XCI) in some species causes variability in gene expression. Additional diversity stems from escape from XCI and from mosaicism or XCI skewing in females. This causes sex-specific differences that manifest as differential gene expression and associated phenotypes. Furthermore, the complexity and diversity of X dosage regulation affect the severity of diseases caused by X-linked mutations.
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47
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Deng X, Berletch JB, Nguyen DK, Disteche CM. X chromosome regulation: diverse patterns in development, tissues and disease. Nat Rev Genet 2014. [PMID: 24733023 DOI: 10.1038/nrg3687,+10.1038/nrn3745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Genes on the mammalian X chromosome are present in one copy in males and two copies in females. The complex mechanisms that regulate the X chromosome lead to evolutionary and physiological variability in gene expression between species, the sexes, individuals, developmental stages, tissues and cell types. In early development, delayed and incomplete X chromosome inactivation (XCI) in some species causes variability in gene expression. Additional diversity stems from escape from XCI and from mosaicism or XCI skewing in females. This causes sex-specific differences that manifest as differential gene expression and associated phenotypes. Furthermore, the complexity and diversity of X dosage regulation affect the severity of diseases caused by X-linked mutations.
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Affiliation(s)
- Xinxian Deng
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Joel B Berletch
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Di K Nguyen
- Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
| | - Christine M Disteche
- 1] Department of Pathology, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA. [2] Department of Medicine, School of Medicine, University of Washington, 1959 NE Pacific Street, Seattle, Washington 98115, USA
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48
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Human active X-specific DNA methylation events showing stability across time and tissues. Eur J Hum Genet 2014; 22:1376-81. [PMID: 24713664 DOI: 10.1038/ejhg.2014.34] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2013] [Revised: 01/29/2014] [Accepted: 02/13/2014] [Indexed: 02/07/2023] Open
Abstract
The phenomenon of X chromosome inactivation in female mammals is well characterised and remains the archetypal example of dosage compensation via monoallelic expression. The temporal series of events that culminates in inactive X-specific gene silencing by DNA methylation has revealed a 'patchwork' of gene inactivation along the chromosome, with approximately 15% of genes escaping. Such genes are therefore potentially subject to sex-specific imbalance between males and females. Aside from XIST, the non-coding RNA on the X chromosome destined to be inactivated, very little is known about the extent of loci that may be selectively silenced on the active X chromosome (Xa). Using longitudinal array-based DNA methylation profiling of two human tissues, we have identified specific and widespread active X-specific DNA methylation showing stability over time and across tissues of disparate origin. Our panel of X-chromosome loci subject to methylation on Xa reflects a potentially novel mechanism for controlling female-specific X inactivation and sex-specific dimorphisms in humans. Further work is needed to investigate these phenomena.
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49
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Pessia E, Engelstädter J, Marais GAB. The evolution of X chromosome inactivation in mammals: the demise of Ohno's hypothesis? Cell Mol Life Sci 2014; 71:1383-94. [PMID: 24173285 PMCID: PMC11113734 DOI: 10.1007/s00018-013-1499-6] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2013] [Revised: 10/11/2013] [Accepted: 10/14/2013] [Indexed: 12/24/2022]
Abstract
Ohno's hypothesis states that dosage compensation in mammals evolved in two steps: a twofold hyperactivation of the X chromosome in both sexes to compensate for gene losses on the Y chromosome, and silencing of one X (X-chromosome inactivation, XCI) in females to restore optimal dosage. Recent tests of this hypothesis have returned contradictory results. In this review, we explain this ongoing controversy and argue that a novel view on dosage compensation evolution in mammals is starting to emerge. Ohno's hypothesis may be true for a few, dosage-sensitive genes only. If so few genes are compensated, then why has XCI evolved as a chromosome-wide mechanism? This and several other questions raised by the new data in mammals are discussed, and future research directions are proposed.
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Affiliation(s)
- Eugénie Pessia
- Laboratoire de Biométrie et Biologie Évolutive, Centre National de la Recherche Scientifique, Université Lyon 1, Bat. Gregor Mendel, 16 rue Raphaël Dubois, 69622, Villeurbanne Cedex, France,
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50
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Viana J, Pidsley R, Troakes C, Spiers H, Wong CC, Al-Sarraj S, Craig I, Schalkwyk L, Mill J. Epigenomic and transcriptomic signatures of a Klinefelter syndrome (47,XXY) karyotype in the brain. Epigenetics 2014; 9:587-99. [PMID: 24476718 PMCID: PMC4121369 DOI: 10.4161/epi.27806] [Citation(s) in RCA: 37] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Klinefelter syndrome (KS) is the most common sex-chromosome aneuploidy in humans. Most affected individuals carry one extra X-chromosome (47,XXY karyotype) and the condition presents with a heterogeneous mix of reproductive, physical and psychiatric phenotypes. Although the mechanism(s) by which the supernumerary X-chromosome determines these features of KS are poorly understood, skewed X-chromosome inactivation (XCI), gene-dosage dysregulation, and the parental origin of the extra X-chromosome have all been implicated, suggesting an important role for epigenetic processes. We assessed genomic, methylomic and transcriptomic variation in matched prefrontal cortex and cerebellum samples identifying an individual with a 47,XXY karyotype who was comorbid for schizophrenia and had a notably reduced cerebellum mass compared with other individuals in the study (n = 49). We examined methylomic and transcriptomic differences in this individual relative to female and male samples with 46,XX or 46,XY karyotypes, respectively, and identified numerous locus-specific differences in DNA methylation and gene expression, with many differences being autosomal and tissue-specific. Furthermore, global DNA methylation, assessed via the interrogation of LINE-1 and Alu repetitive elements, was significantly altered in the 47,XXY patient in a tissue-specific manner with extreme hypomethylation detected in the prefrontal cortex and extreme hypermethylation in the cerebellum. This study provides the first detailed molecular characterization of the prefrontal cortex and cerebellum from an individual with a 47,XXY karyotype, identifying widespread tissue-specific epigenomic and transcriptomic alterations in the brain.
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Affiliation(s)
- Joana Viana
- University of Exeter Medical School; Exeter University; Exeter, UK
| | - Ruth Pidsley
- Institute of Psychiatry; King's College London; London, UK; Garvan Institute of Medical Research; Sydney, NSW Australia
| | - Claire Troakes
- Institute of Psychiatry; King's College London; London, UK
| | - Helen Spiers
- Institute of Psychiatry; King's College London; London, UK
| | - Chloe Cy Wong
- Institute of Psychiatry; King's College London; London, UK
| | - Safa Al-Sarraj
- Institute of Psychiatry; King's College London; London, UK
| | - Ian Craig
- Institute of Psychiatry; King's College London; London, UK
| | | | - Jonathan Mill
- University of Exeter Medical School; Exeter University; Exeter, UK; Institute of Psychiatry; King's College London; London, UK
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