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Hunter S, Hendrix J, Freeman J, Dowell RD, Allen MA. Transcription dosage compensation does not occur in Down syndrome. BMC Biol 2023; 21:228. [PMID: 37946204 PMCID: PMC10636926 DOI: 10.1186/s12915-023-01700-4] [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: 02/06/2023] [Accepted: 09/12/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND The increase in DNA copy number in Down syndrome (DS; caused by trisomy 21) has led to the DNA dosage hypothesis, which posits that the level of gene expression is proportional to the gene's DNA copy number. Yet many reports have suggested that a proportion of chromosome 21 genes are dosage compensated back towards typical expression levels (1.0×). In contrast, other reports suggest that dosage compensation is not a common mechanism of gene regulation in trisomy 21, providing support to the DNA dosage hypothesis. RESULTS In our work, we use both simulated and real data to dissect the elements of differential expression analysis that can lead to the appearance of dosage compensation, even when compensation is demonstrably absent. Using lymphoblastoid cell lines derived from a family with an individual with Down syndrome, we demonstrate that dosage compensation is nearly absent at both nascent transcription (GRO-seq) and steady-state RNA (RNA-seq) levels. Furthermore, we link the limited apparent dosage compensation to expected allelic variation in transcription levels. CONCLUSIONS Transcription dosage compensation does not occur in Down syndrome. Simulated data containing no dosage compensation can appear to have dosage compensation when analyzed via standard methods. Moreover, some chromosome 21 genes that appear to be dosage compensated are consistent with allele specific expression.
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Affiliation(s)
- Samuel Hunter
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, 80301, USA
| | - Jo Hendrix
- BioFrontiers Institute, University of Colorado, Boulder, 80309, USA
- Computational Bioscience, The University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Center for Genes, Environment and Health, National Jewish Health, Denver, CO, USA
| | - Justin Freeman
- BioFrontiers Institute, University of Colorado, Boulder, 80309, USA
| | - Robin D Dowell
- Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, 80301, USA
- BioFrontiers Institute, University of Colorado, Boulder, 80309, USA
- Linda Crnic Institute for Down Syndrome, 80045, Aurora, USA
- Crnic Boulder Branch, BioFrontiers, Boulder, 80309, USA
| | - Mary A Allen
- BioFrontiers Institute, University of Colorado, Boulder, 80309, USA.
- Linda Crnic Institute for Down Syndrome, 80045, Aurora, USA.
- Crnic Boulder Branch, BioFrontiers, Boulder, 80309, USA.
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2
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Hunter S, Dowell RD, Hendrix J, Freeman J, Allen MA. Transcription dosage compensation does not occur in Down syndrome. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.06.07.543933. [PMID: 37333218 PMCID: PMC10274774 DOI: 10.1101/2023.06.07.543933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
Background Trisomy 21, also known as Down syndrome, describes the genetic condition of having an extra copy of chromosome 21. The increase in DNA copy number has led to the "DNA dosage hypothesis", which claims that the level of gene transcription is proportional to the gene's DNA copy number. Yet many reports have suggested that a proportion of chromosome 21 genes are dosage compensated back towards typical expression levels (1.0x). In contrast, other reports suggest that dosage compensation is not a common mechanism of gene regulation in Trisomy 21, providing support to the DNA dosage hypothesis. Results In our work, we use both simulated and real data to dissect the elements of differential expression analysis that can lead to the appearance of dosage compensation even when compensation is demonstrably absent. Using lymphoblastoid cell lines derived from a family of an individual with Down syndrome, we demonstrate that dosage compensation is nearly absent at both nascent transcription (GRO-seq) and steady-state RNA (RNA-seq) levels. Conclusions Transcriptional dosage compensation does not occur in Down syndrome. Simulated data containing no dosage compensation can appear to have dosage compensation when analyzed via standard methods. Moreover, some chromosome 21 genes that appear to be dosage compensated are consistent with allele specific expression.
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Brosens JJ, Bennett PR, Abrahams VM, Ramhorst R, Coomarasamy A, Quenby S, Lucas ES, McCoy RC. Maternal selection of human embryos in early gestation: Insights from recurrent miscarriage. Semin Cell Dev Biol 2022; 131:14-24. [PMID: 35094946 PMCID: PMC9325922 DOI: 10.1016/j.semcdb.2022.01.007] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/21/2022] [Accepted: 01/21/2022] [Indexed: 02/06/2023]
Abstract
Compared to most mammals, human pregnancy is unusual in that it involves chromosomally diverse embryos, cyclical breakdown and regeneration of the uterine mucosa, and intimate integration of fetal and maternal cells at the uteroplacental interface. Not surprisingly, pregnancy often falters in early gestation. Whether these losses result in clinical miscarriages depends on the origins and impacts of chromosomal errors on fetal development and the ability of the decidualizing endometrium to engage in embryo biosensing and selection. Aneuploidy originating in oocytes during meiosis drives the age-related risk of miscarriage. By contrast, the frequency of endometrial cycles with an impaired decidual response may account for the stepwise increase in miscarriage rates with each pregnancy loss independently of maternal age. Additional physiological mechanisms operate in early gestation to ensure that most failing pregnancies are lost before vascular maternal-fetal connections are established by the end of the first trimester. Here, we summarise how investigations into the mechanisms that cause miscarriage led to new insights into the processes that govern maternal selection of human embryos in early gestation.
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Affiliation(s)
- Jan J Brosens
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK.
| | - Phillip R Bennett
- Tommy's National Centre for Miscarriage Research, Imperial College London, UK
| | - Vikki M Abrahams
- Department of Obstetrics, Gynecology & Reproductive Sciences, Yale University, New Haven, CT, USA
| | - Rosanna Ramhorst
- CONICET, Universidad de Buenos Aires, Instituto de Química Biológica de la Facultad de Ciencias Exactas y Naturales IQUIBICEN, Buenos Aires, Argentina
| | - Arri Coomarasamy
- Tommy's National Centre for Miscarriage Research, Institute of Metabolism and Systems Research, University of Birmingham, UK
| | - Siobhan Quenby
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK; Tommy's National Centre for Miscarriage Research, University Hospitals Coventry & Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Emma S Lucas
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, UK
| | - Rajiv C McCoy
- Department of Biology, Johns Hopkins University, Baltimore, Maryland 21218, USA
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Scopel EFC, Hose J, Bensasson D, Gasch AP. Genetic variation in aneuploidy prevalence and tolerance across Saccharomyces cerevisiae lineages. Genetics 2021; 217:iyab015. [PMID: 33734361 PMCID: PMC8049548 DOI: 10.1093/genetics/iyab015] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 01/21/2021] [Indexed: 01/06/2023] Open
Abstract
Individuals carrying an aberrant number of chromosomes can vary widely in their expression of aneuploidy phenotypes. A major unanswered question is the degree to which an individual's genetic makeup influences its tolerance of karyotypic imbalance. Here we investigated within-species variation in aneuploidy prevalence and tolerance, using Saccharomyces cerevisiae as a model for eukaryotic biology. We analyzed genotypic and phenotypic variation recently published for over 1,000 S. cerevisiae strains spanning dozens of genetically defined clades and ecological associations. Our results show that the prevalence of chromosome gain and loss varies by clade and can be better explained by differences in genetic background than ecology. The relationships between lineages with high aneuploidy frequencies suggest that increased aneuploidy prevalence emerged multiple times in S. cerevisiae evolution. Separate from aneuploidy prevalence, analyzing growth phenotypes revealed that some genetic backgrounds-such as the European Wine lineage-show fitness costs in aneuploids compared to euploids, whereas other clades with high aneuploidy frequencies show little evidence of major deleterious effects. Our analysis confirms that chromosome gain can produce phenotypic benefits, which could influence evolutionary trajectories. These results have important implications for understanding genetic variation in aneuploidy prevalence in health, disease, and evolution.
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Affiliation(s)
- Eduardo F C Scopel
- Institute of Bioinformatics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - James Hose
- Laboratory of Genetics and Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Douda Bensasson
- Institute of Bioinformatics and Department of Plant Biology, University of Georgia, Athens, GA 30602, USA
| | - Audrey P Gasch
- Laboratory of Genetics and Center for Genomic Science Innovation, University of Wisconsin-Madison, Madison, WI 53706, USA
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Romanov RA, Tretiakov EO, Kastriti ME, Zupancic M, Häring M, Korchynska S, Popadin K, Benevento M, Rebernik P, Lallemend F, Nishimori K, Clotman F, Andrews WD, Parnavelas JG, Farlik M, Bock C, Adameyko I, Hökfelt T, Keimpema E, Harkany T. Molecular design of hypothalamus development. Nature 2020; 582:246-252. [PMID: 32499648 PMCID: PMC7292733 DOI: 10.1038/s41586-020-2266-0] [Citation(s) in RCA: 98] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2019] [Accepted: 03/05/2020] [Indexed: 12/21/2022]
Abstract
A wealth of specialized neuroendocrine command systems intercalated within the hypothalamus control the most fundamental physiological needs in vertebrates1,2. Nevertheless, we lack a developmental blueprint that integrates the molecular determinants of neuronal and glial diversity along temporal and spatial scales of hypothalamus development3. Here we combine single-cell RNA sequencing of 51,199 mouse cells of ectodermal origin, gene regulatory network (GRN) screens in conjunction with genome-wide association study-based disease phenotyping, and genetic lineage reconstruction to show that nine glial and thirty-three neuronal subtypes are generated by mid-gestation under the control of distinct GRNs. Combinatorial molecular codes that arise from neurotransmitters, neuropeptides and transcription factors are minimally required to decode the taxonomical hierarchy of hypothalamic neurons. The differentiation of γ-aminobutyric acid (GABA) and dopamine neurons, but not glutamate neurons, relies on quasi-stable intermediate states, with a pool of GABA progenitors giving rise to dopamine cells4. We found an unexpected abundance of chemotropic proliferation and guidance cues that are commonly implicated in dorsal (cortical) patterning5 in the hypothalamus. In particular, loss of SLIT-ROBO signalling impaired both the production and positioning of periventricular dopamine neurons. Overall, we identify molecular principles that shape the developmental architecture of the hypothalamus and show how neuronal heterogeneity is transformed into a multimodal neural unit to provide virtually infinite adaptive potential throughout life.
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Affiliation(s)
- Roman A. Romanov
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
- Department of Neuroscience, Biomedicum D7, Karolinska Institutet,
Solna, Sweden
| | - Evgenii O. Tretiakov
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Maria Eleni Kastriti
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
- Department of Physiology and Pharmacology, Biomedicum D6, Karolinska
Institutet, Solna, Sweden
| | - Maja Zupancic
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Martin Häring
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Solomiia Korchynska
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Konstantin Popadin
- Human Genomics of Infection and Immunity, School of Life Sciences,
Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland
| | - Marco Benevento
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Patrick Rebernik
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Francois Lallemend
- Department of Neuroscience, Biomedicum D7, Karolinska Institutet,
Solna, Sweden
| | - Katsuhiko Nishimori
- Deptartment of Obesity and Internal Inflammation, Fukushima Medical
University, Fukushima City, Japan
| | - Frédéric Clotman
- Laboratory of Neural Differentiation, Institute of Neuroscience,
Université Catholique de Louvain, Brussels, Belgium
| | - William D. Andrews
- Department of Cell and Developmental Biology, University College
London, London, United Kingdom
| | - John G. Parnavelas
- Department of Cell and Developmental Biology, University College
London, London, United Kingdom
| | - Matthias Farlik
- CeMM Research Center for Molecular Medicine of the Austrian Academy
of Sciences, Vienna, Austria
- Department of Dermatology, Medical University of Vienna, Vienna,
Austria
| | - Christoph Bock
- CeMM Research Center for Molecular Medicine of the Austrian Academy
of Sciences, Vienna, Austria
- Department of Laboratory Medicine, Medical University of Vienna,
Vienna, Austria
| | - Igor Adameyko
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
- Department of Physiology and Pharmacology, Biomedicum D6, Karolinska
Institutet, Solna, Sweden
| | - Tomas Hökfelt
- Department of Neuroscience, Biomedicum D7, Karolinska Institutet,
Solna, Sweden
| | - Erik Keimpema
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
| | - Tibor Harkany
- Department of Molecular Neurosciences, Center for Brain Research,
Medical University of Vienna, Vienna, Austria
- Department of Neuroscience, Biomedicum D7, Karolinska Institutet,
Solna, Sweden
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Lopatkina ME, Lebedev IN. Transcriptome Analysis as a Tool for Investigation of Pathogenesis of Chromosomal Diseases. RUSS J GENET+ 2020. [DOI: 10.1134/s1022795420050099] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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Characterization of Prevalence and Health Consequences of Uniparental Disomy in Four Million Individuals from the General Population. Am J Hum Genet 2019; 105:921-932. [PMID: 31607426 PMCID: PMC6848996 DOI: 10.1016/j.ajhg.2019.09.016] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2019] [Accepted: 09/13/2019] [Indexed: 12/30/2022] Open
Abstract
Meiotic nondisjunction and resulting aneuploidy can lead to severe health consequences in humans. Aneuploidy rescue can restore euploidy but may result in uniparental disomy (UPD), the inheritance of both homologs of a chromosome from one parent with no representative copy from the other. Current understanding of UPD is limited to ∼3,300 case subjects for which UPD was associated with clinical presentation due to imprinting disorders or recessive diseases. Thus, the prevalence of UPD and its phenotypic consequences in the general population are unknown. We searched for instances of UPD across 4,400,363 consented research participants from the personal genetics company 23andMe, Inc., and 431,094 UK Biobank participants. Using computationally detected DNA segments identical-by-descent (IBD) and runs of homozygosity (ROH), we identified 675 instances of UPD across both databases. We estimate that UPD is twice as common as previously thought, and we present a machine-learning framework to detect UPD using ROH. While we find a nominally significant association between UPD of chromosome 22 and autism risk, we do not find significant associations between UPD and deleterious traits in the 23andMe database.
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Roper RJ, Hawley L, Goodlett CR. Influence of allelic differences in Down syndrome. PROGRESS IN BRAIN RESEARCH 2019; 251:29-54. [PMID: 32057311 PMCID: PMC7500172 DOI: 10.1016/bs.pbr.2019.09.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Both trisomic and non-trisomic genes may affect the incidence and severity of phenotypes associated with Down syndrome (DS). The importance of extra (trisomic) genetic material is emphasized in DS, with less emphasis to the allelic composition of candidate trisomic genes in defining the trisomic gene-phenotype relationship in DS. Allelic differences in non-trisomic genes have been shown to be important moderators of cardiac, leukemia, and developmental phenotypes associated with DS. Trisomic mouse models provide an in vivo genetic platform for examining the gene-phenotype relationship, including the influence of allelic variants, on DS-like phenotypes. DS mouse models have differing trisomic genetic makeup, and optimal development, viability and translational value of these mouse models may require a non-inbred genetic background with heterogeneity at many loci. Additionally, understanding the contribution of specific genes or regions to DS phenotypes often requires the utilization of genetically manipulated mice that may be established on a different inbred background than the trisomic mice. The impact of allelic differences of trisomic and background genes in human and model systems may offer insight into the variability in occurrence and severity of trisomic phenotypes.
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Affiliation(s)
- Randall J Roper
- Department of Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States.
| | - Laura Hawley
- Department of Biology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States
| | - Charles R Goodlett
- Department of Psychology, Indiana University-Purdue University Indianapolis, Indianapolis, IN, United States
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Sanchez-Ribas I, Diaz-Gimeno P, Sebastián-León P, Mercader A, Quiñonero A, Ballesteros A, Pellicer A, Domínguez F. Transcriptomic behavior of genes associated with chromosome 21 aneuploidies in early embryo development. Fertil Steril 2019; 111:991-1001.e2. [PMID: 30922649 DOI: 10.1016/j.fertnstert.2019.01.023] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Revised: 12/13/2018] [Accepted: 01/14/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVE To analyze how chromosome 21 (HSA21) ploidy affects global gene expression of early human blastocysts. DESIGN Prospective study. SETTING University-affiliated in vitro fertilization clinic. PATIENT(S) A total of 26 high-quality donated embryos from in vitro fertilization (IVF) patients: trisomy 21 (n = 8), monosomy 21 (n = 10), and euploid (n = 8) blastocysts. INTERVENTION(S) None. MAIN OUTCOME MEASURE(S) Blastocyst transcriptome changes and its associated functions. RESULT(S) Trisomy 21, monosomy 21, and euploid blastocysts were classified by comparative genomic hybridization. The global transcriptome of whole blastocysts was analyzed with small cell number RNA sequencing, and they were compared to understand the gene expression behavior at early development and its implications for embryo implantation. We identified 1,232 differentially expressed genes (false discovery rate <0.05) in monosomy 21 compared with euploid blastocysts associated with dysregulated functions in embryo development as the Rap1 signaling pathway. Curiously, Down syndrome in early development revealed fewer transcriptomic changes than expected. In addition, Down syndrome gene expression in neonates, children, and adults revealed that the number of deregulated genes increases across life stages from blastocysts to adults, suggesting a potential dosage-compensation mechanism for human chromosome 21. CONCLUSION(S) At the transcriptomic level, early development in Down syndrome is mainly dosage compensated. However, monosomy 21 is strongly transcriptionally affected because early development involving main functions is associated with embryo implantation.
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Affiliation(s)
- Imma Sanchez-Ribas
- IVI-RMA Fundación IVI, Universidad de Valencia, Valencia, Spain; IVI-RMA Barcelona, Barcelona, Spain
| | - Patricia Diaz-Gimeno
- IVI-RMA Fundación IVI, Universidad de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria INCLIVA, Valencia University, Valencia, Spain.
| | - Patricia Sebastián-León
- IVI-RMA Fundación IVI, Universidad de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria INCLIVA, Valencia University, Valencia, Spain
| | - Amparo Mercader
- Instituto de Investigación Sanitaria INCLIVA, Valencia University, Valencia, Spain; IVI-RMA Valencia, Valencia, Spain
| | | | | | - Antonio Pellicer
- IVI-RMA Fundación IVI, Universidad de Valencia, Valencia, Spain; Department of Pediatrics, Obstetrics, and Gynecology, Universidad de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria Hospital Universitario y Politécnico La Fe, Valencia, Spain
| | - Francisco Domínguez
- IVI-RMA Fundación IVI, Universidad de Valencia, Valencia, Spain; Instituto de Investigación Sanitaria INCLIVA, Valencia University, Valencia, Spain
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