1
|
Gadek M, Shaw CK, Abdulai-Saiku S, Saloner R, Marino F, Wang D, Bonham LW, Yokoyama JS, Panning B, Benayoun BA, Casaletto KB, Ramani V, Dubal DB. Aging activates escape of the silent X chromosome in the female mouse hippocampus. SCIENCE ADVANCES 2025; 11:eads8169. [PMID: 40043106 PMCID: PMC11881916 DOI: 10.1126/sciadv.ads8169] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/11/2024] [Accepted: 12/31/2024] [Indexed: 03/09/2025]
Abstract
Women live longer than men and exhibit less cognitive aging. The X chromosome contributes to sex differences, as females harbor an inactive X (Xi) and active X (Xa), in contrast to males with only an Xa. Thus, reactivation of silent Xi genes may contribute to sex differences. We use allele-specific, single-nucleus RNA sequencing to show that aging remodels transcription of the Xi and Xa across hippocampal cell types. Aging preferentially changed gene expression on the X's relative to autosomes. Select genes on the Xi underwent activation, with new escape across cells including in the dentate gyrus, critical to learning and memory. Expression of the Xi escapee Plp1, a myelin component, was increased in the aging hippocampus of female mice and parahippocampus of women. AAV-mediated Plp1 elevation in the dentate gyrus of aging male and female mice improved cognition. Understanding how the Xi may confer female advantage could lead to novel targets that counter brain aging and disease in both sexes.
Collapse
Affiliation(s)
- Margaret Gadek
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Medical Scientist Training Program, University of California, San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Cayce K. Shaw
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Rehabilitation Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Samira Abdulai-Saiku
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Rowan Saloner
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Francesca Marino
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Neurosciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
| | - Dan Wang
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
| | - Luke W. Bonham
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Jennifer S. Yokoyama
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
- Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA, USA
| | - Barbara Panning
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
| | - Bérénice A. Benayoun
- Leonard Davis School of Gerontology, University of Southern California, Los Angeles, CA, USA
- Molecular and Computational Biology Department, USC Dornsife College of Letters, Arts and Sciences, Los Angeles, CA, USA
- Biochemistry and Molecular Medicine Department, USC Keck School of Medicine; USC Norris Comprehensive Cancer Center, Los Angeles, CA, USA
- USC Stem Cell Initiative, Los Angeles, CA, USA
| | - Kaitlin B. Casaletto
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Memory and Aging Center, University of California, San Francisco, San Francisco, CA, USA
| | - Vijay Ramani
- Department of Biochemistry and Biophysics, University of California, San Francisco, San Francisco, CA, USA
- Gladstone Institute for Data Science and Biotechnology, J. David Gladstone Institutes, San Francisco, CA, USA
- Bakar Computational Health Sciences Institute, San Francisco, CA, USA
| | - Dena B. Dubal
- Department of Neurology and Weill Institute for Neurosciences, University of California, San Francisco, San Francisco, CA, USA
- Biomedical Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Rehabilitation Sciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Neurosciences Graduate Program, University of California, San Francisco, San Francisco, CA, USA
- Bakar Aging Research Institute, University of California, San Francisco, San Francisco, CA, USA
| |
Collapse
|
2
|
Bammidi LS, Gayen S. Multifaceted role of CTCF in X-chromosome inactivation. Chromosoma 2024; 133:217-231. [PMID: 39433641 DOI: 10.1007/s00412-024-00826-w] [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: 03/19/2024] [Revised: 10/02/2024] [Accepted: 10/07/2024] [Indexed: 10/23/2024]
Abstract
Therian female mammals compensate for the dosage of X-linked gene expression by inactivating one of the X-chromosomes. X-inactivation is facilitated by the master regulator Xist long non-coding RNA, which coats the inactive-X and facilitates heterochromatinization through recruiting different chromatin modifiers and changing the X-chromosome 3D conformation. However, many mechanistic aspects behind the X-inactivation process remain poorly understood. Among the many contributing players, CTCF has emerged as one of the key players in orchestrating various aspects related to X-chromosome inactivation by interacting with several other protein and RNA partners. In general, CTCF is a well-known architectural protein, which plays an important role in chromatin organization and transcriptional regulation. Here, we provide significant insight into the role of CTCF in orchestrating X-chromosome inactivation and highlight future perspectives.
Collapse
Affiliation(s)
- Lakshmi Sowjanya Bammidi
- Chromatin RNA and Genome (CRG) Lab, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore-560012, India
| | - Srimonta Gayen
- Chromatin RNA and Genome (CRG) Lab, Department of Developmental Biology and Genetics, Indian Institute of Science, Bangalore-560012, India.
| |
Collapse
|
3
|
Koshiguchi M, Yonezawa N, Hatano Y, Suenaga H, Yamagata K, Kobayashi S. A system to analyze the initiation of random X-chromosome inactivation using time-lapse imaging of single cells. Sci Rep 2024; 14:20327. [PMID: 39223177 PMCID: PMC11369159 DOI: 10.1038/s41598-024-71105-y] [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: 05/21/2023] [Accepted: 08/26/2024] [Indexed: 09/04/2024] Open
Abstract
In female eutherian mammal development, X-chromosome inactivation (XCI) of one of the two X chromosomes is initiated early. Understanding the relationship between the initiation of XCI and cell fate is critical for understanding early female development and requires a system that can monitor XCI in single living cells. Traditional embryonic stem cells (ESCs) used for XCI studies often lose X chromosomes spontaneously during culture and differentiation, making accurate monitoring difficult. Additionally, most XCI assessment methods necessitate cell disruption, hindering cell fate tracking. We developed the Momiji (version 2) ESC line to address these difficulties, enabling real-time monitoring of X-chromosome activity via fluorescence. We inserted green and red fluorescent reporter genes and neomycin and puromycin resistance genes into the two X chromosomes of PGK12.1 ESCs, creating a female ESC line that retains two X chromosomes more faithfully during differentiation. Momiji (version 2) ESCs exhibit a more stable XX karyotype than other ESC lines, including the parental PGK12.1 line. This new tool offers valuable insights into the relationship between XCI and cell fate, improving our understanding of early female development.
Collapse
Affiliation(s)
- Manami Koshiguchi
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koutou-ku, Tokyo, 135-0064, Japan
- RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Hyogo, 650-0047, Japan
| | - Nao Yonezawa
- Faculty of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama, 649-6493, Japan
| | - Yu Hatano
- Faculty of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama, 649-6493, Japan
- Faculty of Life and Environmental Science, University of Yamanashi, Kofu, Yamanashi, 400-8510, Japan
| | - Hikaru Suenaga
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koutou-ku, Tokyo, 135-0064, Japan
| | - Kazuo Yamagata
- Faculty of Biology-Oriented Science and Technology, Kindai University, Kinokawa, Wakayama, 649-6493, Japan
| | - Shin Kobayashi
- Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), 2-4-7 Aomi, Koutou-ku, Tokyo, 135-0064, Japan.
| |
Collapse
|
4
|
Lister NC, Milton AM, Patel HR, Waters SA, Hanrahan BJ, McIntyre KL, Livernois AM, Horspool WB, Wee LK, Ringel AR, Mundlos S, Robson MI, Shearwin-Whyatt L, Grützner F, Graves JAM, Ruiz-Herrera A, Waters PD. Incomplete transcriptional dosage compensation of chicken and platypus sex chromosomes is balanced by post-transcriptional compensation. Proc Natl Acad Sci U S A 2024; 121:e2322360121. [PMID: 39074288 PMCID: PMC11317591 DOI: 10.1073/pnas.2322360121] [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: 12/19/2023] [Accepted: 06/25/2024] [Indexed: 07/31/2024] Open
Abstract
Heteromorphic sex chromosomes (XY or ZW) present problems of gene dosage imbalance between sexes and with autosomes. A need for dosage compensation has long been thought to be critical in vertebrates. However, this was questioned by findings of unequal mRNA abundance measurements in monotreme mammals and birds. Here, we demonstrate unbalanced mRNA levels of X genes in platypus males and females and a correlation with differential loading of histone modifications. We also observed unbalanced transcripts of Z genes in chicken. Surprisingly, however, we found that protein abundance ratios were 1:1 between the sexes in both species, indicating a post-transcriptional layer of dosage compensation. We conclude that sex chromosome output is maintained in chicken and platypus (and perhaps many other non therian vertebrates) via a combination of transcriptional and post-transcriptional control, consistent with a critical importance of sex chromosome dosage compensation.
Collapse
Affiliation(s)
- Nicholas C. Lister
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | - Ashley M. Milton
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | - Hardip R. Patel
- John Curtin School of Medical Research, Australian National University, Canberra, ACT2600, Australia
- National Centre for Indigenous Genomics, Australian National University, Canberra, ACT2600, Australia
| | - Shafagh A. Waters
- School of Biomedical Sciences, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW2052, Australia
| | - Benjamin J. Hanrahan
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | - Kim L. McIntyre
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | | | - William B. Horspool
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | - Lee Kian Wee
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| | - Alessa R. Ringel
- Max Planck Institute for Molecular Genetics, Berlin14195, Germany
- Institute for Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin10117, Germany
- Institute of Chemistry and Biochemistry, Freie Universität Berlin, Berlin14195, Germany
| | - Stefan Mundlos
- Max Planck Institute for Molecular Genetics, Berlin14195, Germany
- Institute for Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin10117, Germany
- Charité-Universitätsmedizin Berlin, Berlin Institute of Health Center for Regenerative Therapies, Berlin13353, Germany
| | - Michael I. Robson
- Max Planck Institute for Molecular Genetics, Berlin14195, Germany
- Institute for Medical and Human Genetics, Charité Universitätsmedizin Berlin, Berlin10117, Germany
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, EdinburghEH8 9YL, United Kingdom
| | | | - Frank Grützner
- School of Biological Sciences, University of Adelaide, Adelaide, SA5000, Australia
| | - Jennifer A. Marshall Graves
- Department of Environment and Genetics, La Trobe University, Melbourne, VIC3068, Australia
- Institute of Applied Ecology, University of Canberra, Canberra, ACT2601, Australia
| | - Aurora Ruiz-Herrera
- Departament de Biologia Cellular, Fisiologia I Immunologia, Universitat Autònoma de Barcelona, Cerdanyola del Vallès08193, Spain
- Genome Integrity and Instability Group, Institut de Biotecnologia i Biomedicina, Universitat Autònoma de Barcelona, Cerdanyola del Vallès08193, Spain
| | - Paul D. Waters
- School of Biotechnology and Biomolecular Sciences, Faculty of Science, University of New South Wales Sydney, Sydney, NSW2052, Australia
| |
Collapse
|
5
|
Cecalev D, Viçoso B, Galupa R. Compensation of gene dosage on the mammalian X. Development 2024; 151:dev202891. [PMID: 39140247 PMCID: PMC11361640 DOI: 10.1242/dev.202891] [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] [Indexed: 08/15/2024]
Abstract
Changes in gene dosage can have tremendous evolutionary potential (e.g. whole-genome duplications), but without compensatory mechanisms, they can also lead to gene dysregulation and pathologies. Sex chromosomes are a paradigmatic example of naturally occurring gene dosage differences and their compensation. In species with chromosome-based sex determination, individuals within the same population necessarily show 'natural' differences in gene dosage for the sex chromosomes. In this Review, we focus on the mammalian X chromosome and discuss recent new insights into the dosage-compensation mechanisms that evolved along with the emergence of sex chromosomes, namely X-inactivation and X-upregulation. We also discuss the evolution of the genetic loci and molecular players involved, as well as the regulatory diversity and potentially different requirements for dosage compensation across mammalian species.
Collapse
Affiliation(s)
- Daniela Cecalev
- Molecular, Cellular and Developmental Biology (MCD) Unit, Centre de Biologie Intégrative (CBI), University of Toulouse, CNRS, UPS, 31062, Toulouse, France
| | - Beatriz Viçoso
- Institute of Science and Technology Austria (ISTA), Am Campus 1, Klosterneuburg 3400, Austria
| | - Rafael Galupa
- Molecular, Cellular and Developmental Biology (MCD) Unit, Centre de Biologie Intégrative (CBI), University of Toulouse, CNRS, UPS, 31062, Toulouse, France
| |
Collapse
|
6
|
Krueger K, Lamenza F, Gu H, El-Hodiri H, Wester J, Oberdick J, Fischer AJ, Oghumu S. Sex differences in susceptibility to substance use disorder: Role for X chromosome inactivation and escape? Mol Cell Neurosci 2023; 125:103859. [PMID: 37207894 PMCID: PMC10286730 DOI: 10.1016/j.mcn.2023.103859] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 05/21/2023] Open
Abstract
There is a sex-based disparity associated with substance use disorders (SUDs) as demonstrated by clinical and preclinical studies. Females are known to escalate from initial drug use to compulsive drug-taking behavior (telescoping) more rapidly, and experience greater negative withdrawal effects than males. Although these biological differences have largely been attributed to sex hormones, there is evidence for non-hormonal factors, such as the influence of the sex chromosome, which underlie sex disparities in addiction behavior. However, genetic and epigenetic mechanisms underlying sex chromosome influences on substance abuse behavior are not completely understood. In this review, we discuss the role that escape from X-chromosome inactivation (XCI) in females plays in sex-associated differences in addiction behavior. Females have two X chromosomes (XX), and during XCI, one X chromosome is randomly chosen to be transcriptionally silenced. However, some X-linked genes escape XCI and display biallelic gene expression. We generated a mouse model using an X-linked gene specific bicistronic dual reporter mouse as a tool to visualize allelic usage and measure XCI escape in a cell specific manner. Our results revealed a previously undiscovered X-linked gene XCI escaper (CXCR3), which is variable and cell type dependent. This illustrates the highly complex and context dependent nature of XCI escape which is largely understudied in the context of SUD. Novel approaches such as single cell RNA sequencing will provide a global molecular landscape and impact of XCI escape in addiction and facilitate our understanding of the contribution of XCI escape to sex disparities in SUD.
Collapse
Affiliation(s)
- Kate Krueger
- Department of Pharmacy, The Ohio State University, Columbus, OH, USA
| | - Felipe Lamenza
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA; Department of Microbiology, The Ohio State University, Columbus, OH, USA
| | - Howard Gu
- Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, OH, USA
| | - Heithem El-Hodiri
- Department of Neuroscience, The Ohio State University, Columbus, OH, USA
| | - Jason Wester
- Department of Neuroscience, The Ohio State University, Columbus, OH, USA
| | - John Oberdick
- Department of Neuroscience, The Ohio State University, Columbus, OH, USA
| | - Andy J Fischer
- Department of Neuroscience, The Ohio State University, Columbus, OH, USA
| | - Steve Oghumu
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH, USA.
| |
Collapse
|
7
|
Lentini A, Cheng H, Noble JC, Papanicolaou N, Coucoravas C, Andrews N, Deng Q, Enge M, Reinius B. Elastic dosage compensation by X-chromosome upregulation. Nat Commun 2022; 13:1854. [PMID: 35388014 PMCID: PMC8987076 DOI: 10.1038/s41467-022-29414-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 03/14/2022] [Indexed: 12/24/2022] Open
Abstract
X-chromosome inactivation and X-upregulation are the fundamental modes of chromosome-wide gene regulation that collectively achieve dosage compensation in mammals, but the regulatory link between the two remains elusive and the X-upregulation dynamics are unknown. Here, we use allele-resolved single-cell RNA-seq combined with chromatin accessibility profiling and finely dissect their separate effects on RNA levels during mouse development. Surprisingly, we uncover that X-upregulation elastically tunes expression dosage in a sex- and lineage-specific manner, and moreover along varying degrees of X-inactivation progression. Male blastomeres achieve X-upregulation upon zygotic genome activation while females experience two distinct waves of upregulation, upon imprinted and random X-inactivation; and ablation of Xist impedes female X-upregulation. Female cells carrying two active X chromosomes lack upregulation, yet their collective RNA output exceeds that of a single hyperactive allele. Importantly, this conflicts the conventional dosage compensation model in which naïve female cells are initially subject to biallelic X-upregulation followed by X-inactivation of one allele to correct the X dosage. Together, our study provides key insights to the chain of events of dosage compensation, explaining how transcript copy numbers can remain remarkably stable across developmental windows wherein severe dose imbalance would otherwise be experienced by the cell.
Collapse
Affiliation(s)
- Antonio Lentini
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Huaitao Cheng
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - J C Noble
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Natali Papanicolaou
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Christos Coucoravas
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Nathanael Andrews
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Qiaolin Deng
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Martin Enge
- Department of Oncology and Pathology, Karolinska Institutet, Stockholm, Sweden
| | - Björn Reinius
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
8
|
Panda A, Zylicz JJ, Pasque V. New Insights into X-Chromosome Reactivation during Reprogramming to Pluripotency. Cells 2020; 9:E2706. [PMID: 33348832 PMCID: PMC7766869 DOI: 10.3390/cells9122706] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2020] [Revised: 12/08/2020] [Accepted: 12/10/2020] [Indexed: 02/06/2023] Open
Abstract
Dosage compensation between the sexes results in one X chromosome being inactivated during female mammalian development. Chromosome-wide transcriptional silencing from the inactive X chromosome (Xi) in mammalian cells is erased in a process termed X-chromosome reactivation (XCR), which has emerged as a paradigm for studying the reversal of chromatin silencing. XCR is linked with germline development and induction of naive pluripotency in the epiblast, and also takes place upon reprogramming somatic cells to induced pluripotency. XCR depends on silencing of the long non-coding RNA (lncRNA) X inactive specific transcript (Xist) and is linked with the erasure of chromatin silencing. Over the past years, the advent of transcriptomics and epigenomics has provided new insights into the transcriptional and chromatin dynamics with which XCR takes place. However, multiple questions remain unanswered about how chromatin and transcription related processes enable XCR. Here, we review recent work on establishing the transcriptional and chromatin kinetics of XCR, as well as discuss a model by which transcription factors mediate XCR not only via Xist repression, but also by direct targeting of X-linked genes.
Collapse
Affiliation(s)
- Amitesh Panda
- Laboratory of Cellular Reprogramming and Epigenetic Regulation, Department of Development and Regeneration, Leuven Stem Cell Institute, KU Leuven-University of Leuven, 3000 Leuven, Belgium;
| | - Jan J. Zylicz
- The Novo Nordisk Foundation Center for Stem Cell Biology, University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Vincent Pasque
- Laboratory of Cellular Reprogramming and Epigenetic Regulation, Department of Development and Regeneration, Leuven Stem Cell Institute, KU Leuven-University of Leuven, 3000 Leuven, Belgium;
| |
Collapse
|
9
|
Deng X, Disteche CM. Rapid transcriptional bursts upregulate the X chromosome. Nat Struct Mol Biol 2020; 26:851-853. [PMID: 31582850 DOI: 10.1038/s41594-019-0314-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Affiliation(s)
- Xinxian Deng
- Department of Pathology, School of Medicine, University of Washington, Seattle, WA, USA.
| | - Christine M Disteche
- Department of Pathology, School of Medicine, University of Washington, Seattle, WA, USA. .,Department of Medicine, School of Medicine, University of Washington, Seattle, WA, USA.
| |
Collapse
|
10
|
Larsson AJM, Coucoravas C, Sandberg R, Reinius B. X-chromosome upregulation is driven by increased burst frequency. Nat Struct Mol Biol 2019; 26:963-969. [PMID: 31582851 DOI: 10.1038/s41594-019-0306-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2019] [Accepted: 08/20/2019] [Indexed: 12/14/2022]
Abstract
Ohno's hypothesis postulates that upregulation of X-linked genes rectifies their dosage imbalance relative to autosomal genes, which are present in two active copies per cell. Here we have dissected X-chromosome upregulation into the kinetics of transcription, inferred from allele-specific single-cell RNA sequencing data from somatic and embryonic mouse cells. We confirmed increased X-chromosome expression levels in female and male cells and found that the X chromosome achieved upregulation by elevated burst frequencies. By monitoring transcriptional kinetics in differentiating female mouse embryonic stem cells, we found that increased burst frequency was established on the active X chromosome when X inactivation took place on the other allele. Thus, our study provides mechanistic insights into X-chromosome upregulation.
Collapse
Affiliation(s)
- Anton J M Larsson
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Christos Coucoravas
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Rickard Sandberg
- Department of Cell and Molecular Biology, Karolinska Institutet, Stockholm, Sweden
| | - Björn Reinius
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden.
| |
Collapse
|
11
|
Oghumu S, Varikuti S, Stock JC, Volpedo G, Saljoughian N, Terrazas CA, Satoskar AR. Cutting Edge: CXCR3 Escapes X Chromosome Inactivation in T Cells during Infection: Potential Implications for Sex Differences in Immune Responses. THE JOURNAL OF IMMUNOLOGY 2019; 203:789-794. [PMID: 31253729 DOI: 10.4049/jimmunol.1800931] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2018] [Accepted: 06/12/2019] [Indexed: 12/22/2022]
Abstract
CXCR3, an X-linked gene, is subject to X chromosome inactivation (XCI), but it is unclear whether CXCR3 escapes XCI in immune cells. We determined whether CXCR3 escapes XCI in vivo, evaluated the contribution of allelic CXCR3 expression to the phenotypic properties of T cells during experimental infection with Leishmania, and examined the potential implications to sex differences in immune responses. We used a bicistronic CXCR3 dual-reporter mouse, with each CXCR3 allele linked to a green or red fluorescent reporter without affecting endogenous CXCR3 expression. Our results show that CXCR3 escapes XCI, biallelic CXCR3-expressing T cells produce more CXCR3 protein than monoallelic CXCR3-expressing cells, and biallelic CXCR3-expressing T cells produce more IFN-γ, IL-2, and CD69 compared with T cells that express CXCR3 from one allele during Leishmania mexicana infection. These results demonstrate that XCI escape by CXCR3 potentially contributes to the sex-associated bias observed during infection.
Collapse
Affiliation(s)
- Steve Oghumu
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - Sanjay Varikuti
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - James C Stock
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - Greta Volpedo
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - Noushin Saljoughian
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - Cesar A Terrazas
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| | - Abhay R Satoskar
- Department of Pathology, The Ohio State University Wexner Medical Center, Columbus, OH 43210
| |
Collapse
|
12
|
AlJanahi AA, Danielsen M, Dunbar CE. An Introduction to the Analysis of Single-Cell RNA-Sequencing Data. Mol Ther Methods Clin Dev 2018; 10:189-196. [PMID: 30094294 PMCID: PMC6072887 DOI: 10.1016/j.omtm.2018.07.003] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
The recent development of single-cell RNA sequencing has deepened our understanding of the cell as a functional unit, providing new insights based on gene expression profiles of hundreds to hundreds of thousands of individual cells, and revealing new populations of cells with distinct gene expression profiles previously hidden within analyses of gene expression performed on bulk cell populations. However, appropriate analysis and utilization of the massive amounts of data generated from single-cell RNA sequencing experiments are challenging and require an understanding of the experimental and computational pathways taken between preparation of input cells and output of interpretable data. In this review, we will discuss the basic principles of these new technologies, focusing on concepts important in the analysis of single-cell RNA-sequencing data. Specifically, we summarize approaches to quality-control measures for determination of which single cells to include for further examination, methods of data normalization and scaling to overcome the relatively inefficient capture rate of mRNA from each cell, and clustering and visualization algorithms used for dimensional reduction of the data to a two-dimensional plot.
Collapse
Affiliation(s)
- Aisha A. AlJanahi
- Translational Stem Cell Biology Branch, NHLBI, NIH, Bethesda, MD, USA
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
| | - Mark Danielsen
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC, USA
| | - Cynthia E. Dunbar
- Translational Stem Cell Biology Branch, NHLBI, NIH, Bethesda, MD, USA
| |
Collapse
|
13
|
Studying X chromosome inactivation in the single-cell genomic era. Biochem Soc Trans 2018; 46:577-586. [PMID: 29678955 DOI: 10.1042/bst20170346] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2017] [Revised: 03/23/2018] [Accepted: 03/26/2018] [Indexed: 01/03/2023]
Abstract
Single-cell genomics is set to revolutionise our understanding of how epigenetic silencing works; by studying specific epigenetic marks or chromatin conformations in single cells, it is possible to ask whether they cause transcriptional silencing or are instead a consequence of the silent state. Here, we review what single-cell genomics has revealed about X chromosome inactivation, perhaps the best characterised mammalian epigenetic process, highlighting the novel findings and important differences between mouse and human X inactivation uncovered through these studies. We consider what fundamental questions these techniques are set to answer in coming years and propose that X chromosome inactivation is an ideal model to study gene silencing by single-cell genomics as technical limitations are minimised through the co-analysis of hundreds of genes.
Collapse
|
14
|
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, GTEx Consortium, 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: 735] [Impact Index Per Article: 91.9] [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.
Collapse
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
| |
Collapse
|