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Ruotsalainen S, Karjalainen J, Kurki M, Lahtela E, Pirinen M, Riikonen J, Ritari J, Tammi S, Partanen J, Laivuori H, Palotie A, Heyne H, Daly M, Widen E. Inherited infertility: Mapping loci associated with impaired female reproduction. Am J Hum Genet 2024; 111:2789-2798. [PMID: 39566493 PMCID: PMC11639076 DOI: 10.1016/j.ajhg.2024.10.018] [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: 07/23/2024] [Revised: 10/25/2024] [Accepted: 10/28/2024] [Indexed: 11/22/2024] Open
Abstract
Female infertility is a common and complex health problem affecting millions of women worldwide. While multiple factors can contribute to this condition, the underlying cause remains elusive in up to 15%-30% of affected individuals. In our large genome-wide association study (GWAS) of 22,849 women with infertility and 198,989 control individuals from the Finnish population cohort FinnGen, we unveil a landscape of genetic factors associated with the disorder. Our recessive analysis identified a low-frequency stop-gained mutation in TATA-box binding protein-like 2 (TBPL2; c.895A>T [p.Arg299Ter]; minor-allele frequency [MAF] = 1.2%) with an impact comparable to highly penetrant monogenic mutations (odds ratio [OR] = 650, p = 4.1 × 10-25). While previous studies have linked the orthologous gene to anovulation and sterility in knockout mice, the severe consequence of the p.Arg299Ter variant was evidenced by individuals carrying two copies of that variant having significantly fewer offspring (average of 0.16) compared to women belonging to the other genotype groups (average of 1.75 offspring, p = 1.4 × 10-15). Notably, all homozygous women who had given birth had received infertility therapy. Moreover, our age-stratified analyses identified three additional genome-wide significant loci. Two loci were associated with early-onset infertility (diagnosed before age 30), located near CHEK2 and within the major histocompatibility complex (MHC) region. The third locus, associated with late-onset infertility, had its lead SNP located in an intron of a long non-coding RNA (lncRNA) gene. Taken together, our data highlight the significance of rare recessive alleles in shaping female infertility risk. The results further provide evidence supporting specific age-dependent mechanisms underlying this complex disorder.
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Affiliation(s)
- Sanni Ruotsalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Juha Karjalainen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Mitja Kurki
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Elisa Lahtela
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Matti Pirinen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland; Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Juha Riikonen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland
| | - Jarmo Ritari
- Finnish Red Cross Blood Service, R&D, Helsinki, Finland
| | - Silja Tammi
- Finnish Red Cross Blood Service, R&D, Helsinki, Finland
| | | | - Hannele Laivuori
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Medical and Clinical Genetics, University of Helsinki and Helsinki University Hospital, Helsinki, Finland; Department of Obstetrics and Gynecology, Tampere University Hospital, Tampere, Finland; Faculty of Medicine and Health Technology, Center for Child, Adolescent and Maternal Health Research, University of Tampere, Tampere, Finland
| | - Aarno Palotie
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Psychiatric and Neurodevelopmental Genetics Unit, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Henrike Heyne
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Digital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany; Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Mark Daly
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland; Program for Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA; Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - Elisabeth Widen
- Institute for Molecular Medicine Finland (FIMM), HiLIFE, University of Helsinki, Helsinki, Finland.
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2
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Hisler V, Bardot P, Detilleux D, Bernardini A, Stierle M, Sanchez EG, Richard C, Arab LH, Ehrhard C, Morlet B, Hadzhiev Y, Jung M, Le Gras S, Négroni L, Müller F, Tora L, Vincent SD. RNA polymerase II transcription initiation in holo-TFIID-depleted mouse embryonic stem cells. Cell Rep 2024; 43:114791. [PMID: 39352809 PMCID: PMC11551524 DOI: 10.1016/j.celrep.2024.114791] [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: 01/09/2024] [Revised: 07/09/2024] [Accepted: 09/07/2024] [Indexed: 10/04/2024] Open
Abstract
The recognition of core promoter sequences by TFIID is the first step in RNA polymerase II (Pol II) transcription initiation. Metazoan holo-TFIID is a trilobular complex, composed of the TATA binding protein (TBP) and 13 TBP-associated factors (TAFs). Why and how TAFs are necessary for the formation of TFIID domains and how they contribute to transcription initiation remain unclear. Inducible TAF7 or TAF10 depletion, followed by comprehensive analysis of TFIID subcomplex formation, chromatin binding, and nascent transcription in mouse embryonic stem cells, result in the formation of a TAF7-lacking TFIID or a minimal core-TFIID complex, respectively. These partial complexes support TBP recruitment at promoters and nascent Pol II transcription at most genes early after depletion, but importantly, TAF10 is necessary for efficient Pol II pausing. We show that partially assembled TFIID complexes can sustain Pol II transcription initiation but cannot replace holo-TFIID over several cell divisions and/or development.
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Affiliation(s)
- Vincent Hisler
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Paul Bardot
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Dylane Detilleux
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Andrea Bernardini
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Matthieu Stierle
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Emmanuel Garcia Sanchez
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Claire Richard
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Lynda Hadj Arab
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Cynthia Ehrhard
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Bastien Morlet
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France; Proteomics Platform (IGBMC), 67400 Illkirch, France
| | - Yavor Hadzhiev
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - Matthieu Jung
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France; GenomEast (IGBMC), 67400 Illkirch, France
| | - Stéphanie Le Gras
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France; GenomEast (IGBMC), 67400 Illkirch, France
| | - Luc Négroni
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France; Proteomics Platform (IGBMC), 67400 Illkirch, France
| | - Ferenc Müller
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, Birmingham B15 2TT, UK
| | - László Tora
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France
| | - Stéphane D Vincent
- Institut de Génétique et de Biologie Moléculaire et Cellulaire (IGBMC), 67400 Illkirch, France; CNRS, UMR7104, 67400 Illkirch, France; INSERM, U1258, 67400 Illkirch, France; Université de Strasbourg, 67400 Illkirch, France.
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3
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Vilstrup AP, Gupta A, Rasmussen AJ, Ebert A, Riedelbauch S, Lukassen MV, Hayashi R, Andersen P. A germline PAF1 paralog complex ensures cell type-specific gene expression. Genes Dev 2024; 38:866-886. [PMID: 39332828 PMCID: PMC11535153 DOI: 10.1101/gad.351930.124] [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: 05/15/2024] [Accepted: 08/27/2024] [Indexed: 09/29/2024]
Abstract
Animal germline development and fertility rely on paralogs of general transcription factors that recruit RNA polymerase II to ensure cell type-specific gene expression. It remains unclear whether gene expression processes downstream from such paralog-based transcription is distinct from that of canonical RNA polymerase II genes. In Drosophila, the testis-specific TBP-associated factors (tTAFs) activate over a thousand spermatocyte-specific gene promoters to enable meiosis and germ cell differentiation. Here, we show that efficient termination of tTAF-activated transcription relies on testis-specific paralogs of canonical polymerase-associated factor 1 complex (PAF1C) proteins, which form a testis-specific PAF1C (tPAF). Consequently, tPAF mutants show aberrant expression of hundreds of downstream genes due to read-in transcription. Furthermore, tPAF facilitates expression of Y-linked male fertility factor genes and thus serves to maintain spermatocyte-specific gene expression. Consistently, tPAF is required for the segregation of meiotic chromosomes and male fertility. Supported by comparative in vivo protein interaction assays, we provide a mechanistic model for the functional divergence of tPAF and the PAF1C and identify transcription termination as a developmentally regulated process required for germline-specific gene expression.
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Affiliation(s)
- Astrid Pold Vilstrup
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Archica Gupta
- The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, The Australian National University, Acton, Australian Capital Territory 2601, Australia
| | - Anna Jon Rasmussen
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Anja Ebert
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | - Sebastian Riedelbauch
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark
| | | | - Rippei Hayashi
- The Shine-Dalgarno Centre for RNA Innovation, The John Curtin School of Medical Research, The Australian National University, Acton, Australian Capital Territory 2601, Australia;
| | - Peter Andersen
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark;
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4
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Liu B, He Y, Wu X, Lin Z, Ma J, Qiu Y, Xiang Y, Kong F, Lai F, Pal M, Wang P, Ming J, Zhang B, Wang Q, Wu J, Xia W, Shen W, Na J, Torres-Padilla ME, Li J, Xie W. Mapping putative enhancers in mouse oocytes and early embryos reveals TCF3/12 as key folliculogenesis regulators. Nat Cell Biol 2024; 26:962-974. [PMID: 38839978 DOI: 10.1038/s41556-024-01422-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2023] [Accepted: 04/11/2024] [Indexed: 06/07/2024]
Abstract
Dynamic epigenomic reprogramming occurs during mammalian oocyte maturation and early development. However, the underlying transcription circuitry remains poorly characterized. By mapping cis-regulatory elements using H3K27ac, we identified putative enhancers in mouse oocytes and early embryos distinct from those in adult tissues, enabling global transitions of regulatory landscapes around fertilization and implantation. Gene deserts harbour prevalent putative enhancers in fully grown oocytes linked to oocyte-specific genes and repeat activation. Embryo-specific enhancers are primed before zygotic genome activation and are restricted by oocyte-inherited H3K27me3. Putative enhancers in oocytes often manifest H3K4me3, bidirectional transcription, Pol II binding and can drive transcription in STARR-seq and a reporter assay. Finally, motif analysis of these elements identified crucial regulators of oogenesis, TCF3 and TCF12, the deficiency of which impairs activation of key oocyte genes and folliculogenesis. These data reveal distinctive regulatory landscapes and their interacting transcription factors that underpin the development of mammalian oocytes and early embryos.
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Affiliation(s)
- Bofeng Liu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yuanlin He
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
- Innovation Center of Suzhou Nanjing Medical University, Suzhou, China
| | - Xiaotong Wu
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, Tsinghua University, Beijing, China
| | - Zili Lin
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Jing Ma
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Yuexin Qiu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China
| | - Yunlong Xiang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Feng Kong
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Fangnong Lai
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Mrinmoy Pal
- Institute of Epigenetics and Stem Cells (IES), Helmholtz Zentrum München, Munich, Germany
| | - Peizhe Wang
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | - Jia Ming
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | - Bingjie Zhang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Qiujun Wang
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Jingyi Wu
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Weikun Xia
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China
- Tsinghua-Peking Center for Life Sciences, Beijing, China
| | - Weimin Shen
- Tsinghua-Peking Center for Life Sciences, Beijing, China
- Laboratory of Molecular Developmental Biology, State Key Laboratory of Membrane Biology, Tsinghua University, Beijing, China
| | - Jie Na
- Center for Stem Cell Biology and Regenerative Medicine, School of Medicine, Tsinghua University, Beijing, China
| | | | - Jing Li
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, China.
- Innovation Center of Suzhou Nanjing Medical University, Suzhou, China.
| | - Wei Xie
- Center for Stem Cell Biology and Regenerative Medicine, MOE Key Laboratory of Bioinformatics, New Cornerstone Science Laboratory, School of Life Sciences, Tsinghua University, Beijing, China.
- Tsinghua-Peking Center for Life Sciences, Beijing, China.
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5
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Fang S, Chang KW, Lefebvre L. Roles of endogenous retroviral elements in the establishment and maintenance of imprinted gene expression. Front Cell Dev Biol 2024; 12:1369751. [PMID: 38505259 PMCID: PMC10948482 DOI: 10.3389/fcell.2024.1369751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 02/26/2024] [Indexed: 03/21/2024] Open
Abstract
DNA methylation (DNAme) has long been recognized as a host defense mechanism, both in the restriction modification systems of prokaryotes as well as in the transcriptional silencing of repetitive elements in mammals. When DNAme was shown to be implicated as a key epigenetic mechanism in the regulation of imprinted genes in mammals, a parallel with host defense mechanisms was drawn, suggesting perhaps a common evolutionary origin. Here we review recent work related to this hypothesis on two different aspects of the developmental imprinting cycle in mammals that has revealed unexpected roles for long terminal repeat (LTR) retroelements in imprinting, both canonical and noncanonical. These two different forms of genomic imprinting depend on different epigenetic marks inherited from the mature gametes, DNAme and histone H3 lysine 27 trimethylation (H3K27me3), respectively. DNAme establishment in the maternal germline is guided by transcription during oocyte growth. Specific families of LTRs, evading silencing mechanisms, have been implicated in this process for specific imprinted genes. In noncanonical imprinting, maternally inherited histone marks play transient roles in transcriptional silencing during preimplantation development. These marks are ultimately translated into DNAme, notably over LTR elements, for the maintenance of silencing of the maternal alleles in the extraembryonic trophoblast lineage. Therefore, LTR retroelements play important roles in both establishment and maintenance of different epigenetic pathways leading to imprinted expression during development. Because such elements are mobile and highly polymorphic among different species, they can be coopted for the evolution of new species-specific imprinted genes.
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Affiliation(s)
| | | | - Louis Lefebvre
- Department of Medical Genetics, Life Sciences Institute, University of British Columbia, Vancouver, BC, Canada
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6
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Girard C. The tri-flow adaptiveness of codes in major evolutionary transitions. Biosystems 2024; 237:105133. [PMID: 38336225 DOI: 10.1016/j.biosystems.2024.105133] [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: 11/17/2023] [Revised: 01/26/2024] [Accepted: 01/27/2024] [Indexed: 02/12/2024]
Abstract
Life codes increase in both number and variety with biological complexity. Although our knowledge of codes is constantly expanding, the evolutionary progression of organic, neural, and cultural codes in response to selection pressure remains poorly understood. Greater clarification of the selective mechanisms is achieved by investigating how major evolutionary transitions reduce spatiotemporal and energetic constraints on transmitting heritable code to offspring. Evolution toward less constrained flows is integral to enduring flow architecture everywhere, in both engineered and natural flow systems. Beginning approximately 4 billion years ago, the most basic level for transmitting genetic material to offspring was initiated by protocell division. Evidence from ribosomes suggests that protocells transmitted comma-free or circular codes, preceding the evolution of standard genetic code. This rudimentary information flow within protocells is likely to have first emerged within the geo-energetic and geospatial constraints of hydrothermal vents. A broad-gauged hypothesis is that major evolutionary transitions overcame such constraints with tri-flow adaptations. The interconnected triple flows incorporated energy-converting, spatiotemporal, and code-based informational dynamics. Such tri-flow adaptations stacked sequence splicing code on top of protein-DNA recognition code in eukaryotes, prefiguring the transition to sexual reproduction. Sex overcame the spatiotemporal-energetic constraints of binary fission with further code stacking. Examples are tubulin code and transcription initiation code in vertebrates. In a later evolutionary transition, language reduced metabolic-spatiotemporal constraints on inheritance by stacking phonetic, phonological, and orthographic codes. In organisms that reproduce sexually, each major evolutionary transition is shown to be a tri-flow adaptation that adds new levels of code-based informational exchange. Evolving biological complexity is also shown to increase the nongenetic transmissibility of code.
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Affiliation(s)
- Chris Girard
- Department of Global and Sociocultural Studies, Florida International University, Miami, FL 33199, United States.
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7
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Luna-Arias JP, Castro-Muñozledo F. Participation of the TBP-associated factors (TAFs) in cell differentiation. J Cell Physiol 2024; 239:e31167. [PMID: 38126142 DOI: 10.1002/jcp.31167] [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: 09/18/2023] [Revised: 11/04/2023] [Accepted: 11/27/2023] [Indexed: 12/23/2023]
Abstract
The understanding of the mechanisms that regulate gene expression to establish differentiation programs and determine cell lineages, is one of the major challenges in Developmental Biology. Besides the participation of tissue-specific transcription factors and epigenetic processes, the role of general transcription factors has been ignored. Only in recent years, there have been scarce studies that address this issue. Here, we review the studies on the biological activity of some TATA-box binding protein (TBP)-associated factors (TAFs) during the proliferation of stem/progenitor cells and their involvement in cell differentiation. Particularly, the accumulated evidence suggests that TAF4, TAF4b, TAF7L, TAF8, TAF9, and TAF10, among others, participate in nervous system development, adipogenesis, myogenesis, and epidermal differentiation; while TAF1, TAF7, TAF15 may be involved in the regulation of stem cell proliferative abilities and cell cycle progression. On the other hand, evidence suggests that TBP variants such as TBPL1 and TBPL2 might be regulating some developmental processes such as germ cell maturation and differentiation, myogenesis, or ventral specification during development. Our analysis shows that it is necessary to study in greater depth the biological function of these factors and its participation in the assembly of specific transcription complexes that contribute to the differential gene expression that gives rise to the great diversity of cell types existing in an organism. The understanding of TAFs' regulation might lead to the development of new therapies for patients which suffer from mutations, alterations, and dysregulation of these essential elements of the transcriptional machinery.
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Affiliation(s)
- Juan Pedro Luna-Arias
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del IPN, México City, Mexico
| | - Federico Castro-Muñozledo
- Departamento de Biología Celular, Centro de Investigación y de Estudios Avanzados del IPN, México City, Mexico
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8
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Du T, Li M, Chen L, Shao Y, Wang Y, Wang H, Ma J, Yao B. Compound heterozygous mutations in TBPL2 were identified in an infertile woman with impaired ovarian folliculogenesis. J Assist Reprod Genet 2023; 40:2945-2950. [PMID: 37804378 PMCID: PMC10656374 DOI: 10.1007/s10815-023-02961-2] [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: 08/07/2023] [Accepted: 09/27/2023] [Indexed: 10/09/2023] Open
Abstract
OBJECTIVE A 32-year-old female was diagnosed with unexplained primary infertility for 10 years. She had roughly normal basal hormone levels, but her basal follicle-stimulating hormone (FSH) levels were elevated. In addition, the level of anti-Mullerian hormone was within the normal range, and she had undergone two failed oocyte collection attempts. We aimed to investigate the genetic cause of female infertility in patients with impaired ovarian folliculogenesis. METHODS Genomic DNA was extracted from the peripheral blood of the patient and her family members. Whole-exome sequencing was performed on the patient, and TBPL2 mutations were identified and confirmed by Sanger sequencing. The Exome Aggregation Consortium (ExAC) Browser and Genome Aggregation Database (gnomAD) Browser Beta were used to search the allele frequencies of the variants in the general population. The harmfulness of the mutations was analyzed by SIFT, Mutation Taster, and CADD software. RESULT One novel mutation, c.802C > T (p. Arg268Ter), and one known variant, c.788 + 3A > G (p. Arg233Ter), in TBPL2 were identified in the infertile family. Compound heterozygous mutations in TBPL2 may be the cause of impaired ovarian folliculogenesis, failure of superovulation, and infertility. CONCLUSIONS We identified compound heterozygous mutations in TBPL2 that caused impaired ovarian folliculogenesis, failure of superovulation, and infertility in patients. These findings suggest an important role for compound heterozygous mutations in TBPL2 and expand the mutational spectrum of TBPL2, which might provide a new precise diagnostic marker for female infertility.
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Affiliation(s)
- Tian Du
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China
| | - Meiling Li
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China
| | - Li Chen
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China
| | - Yong Shao
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China
| | - Yichun Wang
- Department of Urology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, Jiangsu, China
| | - Hui Wang
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China
| | - Jinzhao Ma
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China.
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China.
| | - Bing Yao
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Southeast University, Nanjing, 210002, Jiangsu, China.
- Center of Reproductive Medicine, Affiliated Hospital of Medical School, Jinling Hospital, Nanjing University, Nanjing, 21002, Jiangsu, China.
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9
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Hisler V, Bardot P, Detilleux D, Stierle M, Sanchez EG, Richard C, Arab LH, Ehrhard C, Morlet B, Hadzhiev Y, Jung M, Gras SL, Négroni L, Müller F, Tora L, Vincent SD. RNA polymerase II transcription with partially assembled TFIID complexes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.11.27.567046. [PMID: 38076793 PMCID: PMC10705246 DOI: 10.1101/2023.11.27.567046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/24/2023]
Abstract
The recognition of core promoter sequences by the general transcription factor TFIID is the first step in the process of RNA polymerase II (Pol II) transcription initiation. Metazoan holo-TFIID is composed of the TATA binding protein (TBP) and of 13 TBP associated factors (TAFs). Inducible Taf7 knock out (KO) results in the formation of a Taf7-less TFIID complex, while Taf10 KO leads to serious defects within the TFIID assembly pathway. Either TAF7 or TAF10 depletions correlate with the detected TAF occupancy changes at promoters, and with the distinct phenotype severities observed in mouse embryonic stem cells or mouse embryos. Surprisingly however, under either Taf7 or Taf10 deletion conditions, TBP is still associated to the chromatin, and no major changes are observed in nascent Pol II transcription. Thus, partially assembled TFIID complexes can sustain Pol II transcription initiation, but cannot replace holo-TFIID over several cell divisions and/or development.
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Affiliation(s)
- Vincent Hisler
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Paul Bardot
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Dylane Detilleux
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Matthieu Stierle
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Emmanuel Garcia Sanchez
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Claire Richard
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Lynda Hadj Arab
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Cynthia Ehrhard
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Bastien Morlet
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
- Proteomics platform
| | - Yavor Hadzhiev
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - Matthieu Jung
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
- GenomEast
| | - Stéphanie Le Gras
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
- GenomEast
| | - Luc Négroni
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
- Proteomics platform
| | - Ferenc Müller
- Institute of Cancer and Genomic Sciences, College of Medical and Dental Sciences, University of Birmingham, B152TT, Birmingham, UK
| | - László Tora
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
| | - Stéphane D. Vincent
- Université de Strasbourg, IGBMC UMR 7104- UMR-S 1258, F-67400 Illkirch, France
- CNRS, UMR 7104, F-67400 Illkirch, France
- Inserm, UMR-S 1258, F-67400 Illkirch, France
- IGBMC, Institut de Génétique et de Biologie Moléculaire et Cellulaire, F-67400 Illkirch, France
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Behluli L, Fontanilla AM, Andessner-Angleitner L, Tolar N, Molina JM, Gahurova L. Expression analysis suggests that DNMT3L is required for oocyte de novo DNA methylation only in Muridae and Cricetidae rodents. Epigenetics Chromatin 2023; 16:43. [PMID: 37924163 PMCID: PMC10625200 DOI: 10.1186/s13072-023-00518-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 10/25/2023] [Indexed: 11/06/2023] Open
Abstract
BACKGROUND During early mammalian development, DNA methylation undergoes two waves of reprogramming, enabling transitions between somatic cells, oocyte and embryo. The first wave of de novo DNA methylation establishment occurs in oocytes. Its molecular mechanisms have been studied in mouse, a classical mammalian model. Current model describes DNA methyltransferase 3A (DNMT3A) and its cofactor DNMT3L as two essential factors for oocyte DNA methylation-the ablation of either leads to nearly complete abrogation of DNA methylation. However, DNMT3L is not expressed in human oocytes, suggesting that the mechanism uncovered in mouse is not universal across mammals. RESULTS We analysed available RNA-seq data sets from oocytes of multiple mammals, including our novel data sets of several rodent species, and revealed that Dnmt3l is expressed only in the oocytes of mouse, rat and golden hamster, and at a low level in guinea pigs. We identified a specific promoter sequence recognised by an oocyte transcription factor complex associated with strong Dnmt3l activity and demonstrated that it emerged in the rodent clade Eumuroida, comprising the families Muridae (mice, rats, gerbils) and Cricetidae (hamsters). In addition, an evolutionarily novel promoter emerged in the guinea pig, driving weak Dnmt3l expression, likely without functional relevance. Therefore, Dnmt3l is expressed and consequently plays a role in oocyte de novo DNA methylation only in a small number of rodent species, instead of being an essential pan-mammalian factor. In contrast to somatic cells, where catalytically inactive DNMT3B interacts with DNMT3A, forming a heterotetramer, we did not find evidence for the expression of such inactive Dnmt3b isoforms in the oocytes of the tested species. CONCLUSIONS The analysis of RNA-seq data and genomic sequences revealed that DNMT3L is likely to play a role in oocytes de novo DNA methylation only in mice, rats, gerbils and hamsters. The mechanism governing de novo DNA methylation in the oocytes of most mammalian species, including humans, occurs through a yet unknown mechanism that differs from the current model discovered in mouse.
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Affiliation(s)
- Lirik Behluli
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic
| | - Alyssa M Fontanilla
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic
| | - Laura Andessner-Angleitner
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic
| | - Nikolas Tolar
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic
| | - Julia M Molina
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic
- Department of Biological Sciences, Faculty of Sciences and Languages, São Paulo State University "Júlio de Mesquita Filho" - UNESP, Assis, São Paulo, Brazil
| | - Lenka Gahurova
- Department of Molecular Biology and Genetics, Faculty of Science, University of South Bohemia, Branisovska 1760, 37005, Ceske Budejovice, Czech Republic.
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11
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Role of the TATA-box binding protein (TBP) and associated family members in transcription regulation. Gene X 2022; 833:146581. [PMID: 35597524 DOI: 10.1016/j.gene.2022.146581] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2021] [Revised: 04/18/2022] [Accepted: 05/16/2022] [Indexed: 11/20/2022] Open
Abstract
The assembly of transcription complexes on eukaryotic promoters involves a series of steps, including chromatin remodeling, recruitment of TATA-binding protein (TBP)-containing complexes, the RNA polymerase II holoenzyme, and additional basal transcription factors. This review describes the transcriptional regulation by TBP and its corresponding homologs that constitute the TBP family and their interactions with promoter DNA. The C-terminal core domain of TBP is highly conserved and contains two structural repeats that fold into a saddle-like structure, essential for the interaction with the TATA-box on DNA. Based on the TBP C-terminal core domain similarity, three TBP-related factors (TRFs) or TBP-like factors (TBPLs) have been discovered in metazoans, TRF1, TBPL1, and TBPL2. TBP is autoregulated, and once bound to DNA, repressors such as Mot1 induce TBP to dissociate, while other factors such as NC2 and the NOT complex convert the active TBP/DNA complex into inactive, negatively regulating TBP. TFIIA antagonizes the TBP repressors but may be effective only in conjunction with the RNA polymerase II holoenzyme recruitment to the promoter by promoter-bound activators. TRF1 has been discovered inDrosophila melanogasterandAnophelesbut found absent in vertebrates and yeast. TBPL1 cannot bind to the TATA-box; instead, TBPL1 prefers binding to TATA-less promoters. However, TBPL1 shows a stronger association with TFIIA than TBP. The TCT core promoter element is present in most ribosomal protein genes inDrosophilaand humans, and TBPL1 is required for the transcription of these genes. TBP directly participates in the DNA repair mechanism, and TBPL1 mediates cell cycle arrest and apoptosis. TBPL2 is closely related to its TBP paralog, showing 95% sequence similarity with the TBP core domain. Like TBP, TBPL2 also binds to the TATA-box and shows interactions with TFIIA, TFIIB, and other basal transcription factors. Despite these advances, much remains to be explored in this family of transcription factors.
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12
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Liu L, Liu B, Li K, Wang C, Xie Y, Luo N, Wang L, Sun Y, Huang W, Cheng Z, Liu S. Identification of Biomarkers for Predicting Ovarian Reserve of Primordial Follicle via Transcriptomic Analysis. Front Genet 2022; 13:879974. [PMID: 35692832 PMCID: PMC9174591 DOI: 10.3389/fgene.2022.879974] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 05/04/2022] [Indexed: 01/20/2023] Open
Abstract
Ovarian reserve (OR) is mainly determined by the number of primordial follicles in the ovary and continuously depleted until ovarian senescence. With the development of assisted reproductive technology such as ovarian tissue cryopreservation and autotransplantation, growing demand has arisen for objective assessment of OR at the histological level. However, no specific biomarkers of OR can be used effectively in clinic nowadays. Herein, bulk RNA-seq datasets of the murine ovary with the biological ovarian age (BOA) dynamic changes and single-cell RNA-seq datasets of follicles at different stages of folliculogenesis were obtained from the GEO database to identify gene signature correlated to the primordial follicle pool. The correlations between gene signature expression and OR were also validated in several comparative OR models. The results showed that genes including Lhx8, Nobox, Sohlh1, Tbpl2, Stk31, and Padi6 were highly correlated to the OR of the primordial follicle pool, suggesting that these genes might be used as biomarkers for predicting OR at the histological level.
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Affiliation(s)
- Li Liu
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Biting Liu
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ke Li
- Department of Clinical Laboratory Medicine, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Chunyan Wang
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yan Xie
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Ning Luo
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Lian Wang
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Yaoqi Sun
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Wei Huang
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
| | - Zhongping Cheng
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Zhongping Cheng, ; Shupeng Liu,
| | - Shupeng Liu
- Department of Obstetrics and Gynecology, Shanghai Tenth People’s Hospital, School of Medicine, Tongji University, Shanghai, China
- Institute of Gynecological Minimally Invasive Medicine, School of Medicine, Tongji University, Shanghai, China
- *Correspondence: Zhongping Cheng, ; Shupeng Liu,
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13
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Ren S, Chen X, Tian X, Yang D, Dong Y, Chen F, Fang X. The expression, function, and utilization of Protamine1: a literature review. Transl Cancer Res 2022; 10:4947-4957. [PMID: 35116345 PMCID: PMC8799248 DOI: 10.21037/tcr-21-1582] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Accepted: 10/20/2021] [Indexed: 12/14/2022]
Abstract
Objective Protamine 1 (PRM1) is specific in sperm and plays essential roles in fertilization, also a member of cancer testis antigen (CTA) family. This study aims to summarize the expression and function of PRM1 in spermatogenesis, and to broaden the current knowledge and inspire future development of PRM1-based therapeutic strategies in cancer treatment and nanomedicine. Background The protamine proteins, are characterized by an arginine-rich core and cysteine residues. Humans express two types of protamine: PRM1 and PRM2. The abnormal expression or proportion of PRM1 and PRM2 is known to be associated with subfertility and infertility, especially for PRM1 which is highly evolutionary conserved in mammalians and expressed in all vertebrates. Biological functions of PRM1 have been unveiled in diverse cellular processes, such as tumorigenesis, somatic cell nucleus transfer, and drug delivery systems. Moreover, PRM1 is identified as a CTA in chronic leukemia (CLL) and colorectal cancer (CRC). Methods Literature was obtained using PubMed and the keywords protamine 1, PRM1, or P1, from January 1, 1980, through July 20, 2021. We also collect the additional evidence through screening references of articles identified through the PubMed searches. Conclusions PRM1 is well-studied in male infertility, and further researches and attempts to develop PRM1 as novel tumor marker, as well as drug delivery vector, will be of important clinical significance.
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Affiliation(s)
- Shengnan Ren
- Department of Breast, Thyroid, Hepatobiliary and Pancreatic Surgery, Xinmin Division of China-Japan Union Hospital of Jilin University, Changchun, China
| | - Xuebo Chen
- Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Xiaofeng Tian
- Department of Breast, Thyroid, Hepatobiliary and Pancreatic Surgery, Xinmin Division of China-Japan Union Hospital of Jilin University, Changchun, China
| | - Dingquan Yang
- Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Yongli Dong
- Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
| | - Fangfang Chen
- Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China.,Nanomedicine Translational Research Center, China-Japan Union Hospital of Jilin University, Changchun, China
| | - Xuedong Fang
- Department of Gastrointestinal, Colorectal and Anal Surgery, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
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14
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Frayssinhes JYA, Cerruti F, Laulin J, Cattaneo A, Bachi A, Apcher S, Coux O, Cascio P. PA28γ-20S proteasome is a proteolytic complex committed to degrade unfolded proteins. Cell Mol Life Sci 2021; 79:45. [PMID: 34913092 PMCID: PMC11071804 DOI: 10.1007/s00018-021-04045-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Revised: 11/15/2021] [Accepted: 11/17/2021] [Indexed: 02/07/2023]
Abstract
PA28γ is a nuclear activator of the 20S proteasome that, unlike the 19S regulatory particle, stimulates hydrolysis of several substrates in an ATP- and ubiquitin-independent manner and whose exact biological functions and molecular mechanism of action still remain elusive. In an effort to shed light on these important issues, we investigated the stimulatory effect of PA28γ on the hydrolysis of different fluorogenic peptides and folded or denatured full-length proteins by the 20S proteasome. Importantly, PA28γ was found to dramatically enhance breakdown rates by 20S proteasomes of several naturally or artificially unstructured proteins, but not of their native, folded counterparts. Furthermore, these data were corroborated by experiments in cell lines with a nucleus-tagged myelin basic protein. Finally, mass spectrometry analysis of the products generated during proteasomal degradation of two proteins demonstrated that PA28γ does not increase, but rather decreases, the variability of peptides that are potentially suitable for MHC class I antigen presentation. These unexpected findings indicate that global stimulation of the degradation of unfolded proteins may represent a more general feature of PA28γ and suggests that this proteasomal activator might play a broader role in the pathway of protein degradation than previously believed.
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Affiliation(s)
| | - Fulvia Cerruti
- Department of Veterinary Sciences, University of Turin, Largo P. Braccini 2, 10095, Grugliasco, Turin, Italy
| | - Justine Laulin
- Université Paris-Saclay, Institut Gustave Roussy, Inserm, Immunologie Des Tumeurs et Immunothérapie, Villejuif, France
| | | | - Angela Bachi
- The FIRC Institute of Molecular Oncology (IFOM), 20139, Milan, Italy
| | - Sebastien Apcher
- Université Paris-Saclay, Institut Gustave Roussy, Inserm, Immunologie Des Tumeurs et Immunothérapie, Villejuif, France
| | - Olivier Coux
- Centre de Recherche de Biologie Cellulaire de Montpellier (CRBM), CNRS UMR 5237, Université de Montpellier, 1919 Route de Mende, 34293, Montpellier, France
| | - Paolo Cascio
- Department of Veterinary Sciences, University of Turin, Largo P. Braccini 2, 10095, Grugliasco, Turin, Italy.
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15
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Soffers JHM, Alcantara SGM, Li X, Shao W, Seidel CW, Li H, Zeitlinger J, Abmayr SM, Workman JL. The SAGA core module is critical during Drosophila oogenesis and is broadly recruited to promoters. PLoS Genet 2021; 17:e1009668. [PMID: 34807910 PMCID: PMC8648115 DOI: 10.1371/journal.pgen.1009668] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 12/06/2021] [Accepted: 10/22/2021] [Indexed: 11/19/2022] Open
Abstract
The Spt/Ada-Gcn5 Acetyltransferase (SAGA) coactivator complex has multiple modules with different enzymatic and non-enzymatic functions. How each module contributes to gene expression is not well understood. During Drosophila oogenesis, the enzymatic functions are not equally required, which may indicate that different genes require different enzymatic functions. An analogy for this phenomenon is the handyman principle: while a handyman has many tools, which tool he uses depends on what requires maintenance. Here we analyzed the role of the non-enzymatic core module during Drosophila oogenesis, which interacts with TBP. We show that depletion of SAGA-specific core subunits blocked egg chamber development at earlier stages than depletion of enzymatic subunits. These results, as well as additional genetic analyses, point to an interaction with TBP and suggest a differential role of SAGA modules at different promoter types. However, SAGA subunits co-occupied all promoter types of active genes in ChIP-seq and ChIP-nexus experiments, and the complex was not specifically associated with distinct promoter types in the ovary. The high-resolution genomic binding profiles were congruent with SAGA recruitment by activators upstream of the start site, and retention on chromatin by interactions with modified histones downstream of the start site. Our data illustrate that a distinct genetic requirement for specific components may conceal the fact that the entire complex is physically present and suggests that the biological context defines which module functions are critical. Embryonic development critically relies on the differential expression of genes in different tissues. This involves the dynamic interplay between DNA, sequence-specific transcription factors, coactivators and chromatin remodelers, which guide the transcription machinery to the appropriate promoters for productive transcription. To understand how this happens at the molecular level, we need to understand when and how coactivator complexes such as SAGA function. SAGA consists of multiple modules with well characterized enzymatic functions. This study shows that the non-enzymatic core module of SAGA is required for Drosophila oogenesis, while the enzymatic functions are largely dispensable. Despite this differential requirement, SAGA subunits appear to be broadly recruited to all promoter types, consistent with the biochemical integrity of the complex. These results suggest that genetic requirements for different modules depend on the developmental demands.
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Affiliation(s)
- Jelly H. M. Soffers
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Sergio G-M Alcantara
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Xuanying Li
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Wanqing Shao
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Christopher W. Seidel
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Hua Li
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
| | - Julia Zeitlinger
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
- Department of Pathology and Laboratory Medicine, University of Kansas School of Medicine, Kansas City, Kansas, United States of America
| | - Susan M. Abmayr
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
- Department of Anatomy and Cell Biology, University of Kansas School of Medicine, Kansas City, Kansas, United States of America
| | - Jerry L. Workman
- Stowers Institute for Medical Research, Kansas City, Missouri, United States of America
- * E-mail:
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16
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What defines the maternal transcriptome? Biochem Soc Trans 2021; 49:2051-2062. [PMID: 34415300 PMCID: PMC8589422 DOI: 10.1042/bst20201125] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 07/05/2021] [Accepted: 07/19/2021] [Indexed: 01/09/2023]
Abstract
In somatic cells, RNA polymerase II (Pol II) transcription initiation starts by the binding of the general transcription factor TFIID, containing the TATA-binding protein (TBP) and 13 TBP-associated factors (TAFs), to core promoters. However, in growing oocytes active Pol II transcription is TFIID/TBP-independent, as during oocyte growth TBP is replaced by its vertebrate-specific paralog TBPL2. TBPL2 does not interact with TAFs, but stably associates with TFIIA. The maternal transcriptome is the population of mRNAs produced and stored in the cytoplasm of growing oocytes. After fertilization, maternal mRNAs are inherited by the zygote from the oocyte. As transcription becomes silent after oocyte growth, these mRNAs are the sole source for active protein translation. They will participate to complete the protein pool required for oocyte terminal differentiation, fertilization and initiation of early development, until reactivation of transcription in the embryo, called zygotic genome activation (ZGA). All these events are controlled by an important reshaping of the maternal transcriptome. This procedure combines cytoplasmic readenylation of stored transcripts, allowing their translation, and different waves of mRNA degradation by deadenylation coupled to decapping, to eliminate transcripts coding for proteins that are no longer required. The reshaping ends after ZGA with an almost total clearance of the maternal transcripts. In the past, the murine maternal transcriptome has received little attention but recent progresses have brought new insights into the regulation of maternal mRNA dynamics in the mouse. This review will address past and recent data on the mechanisms associated with maternal transcriptome dynamic in the mouse.
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17
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Taguchi YH, Turki T. Tensor-Decomposition-Based Unsupervised Feature Extraction in Single-Cell Multiomics Data Analysis. Genes (Basel) 2021; 12:genes12091442. [PMID: 34573424 PMCID: PMC8468466 DOI: 10.3390/genes12091442] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 09/13/2021] [Accepted: 09/15/2021] [Indexed: 01/04/2023] Open
Abstract
Analysis of single-cell multiomics datasets is a novel topic and is considerably challenging because such datasets contain a large number of features with numerous missing values. In this study, we implemented a recently proposed tensor-decomposition (TD)-based unsupervised feature extraction (FE) technique to address this difficult problem. The technique can successfully integrate single-cell multiomics data composed of gene expression, DNA methylation, and accessibility. Although the last two have large dimensions, as many as ten million, containing only a few percentage of nonzero values, TD-based unsupervised FE can integrate three omics datasets without filling in missing values. Together with UMAP, which is used frequently when embedding single-cell measurements into two-dimensional space, TD-based unsupervised FE can produce two-dimensional embedding coincident with classification when integrating single-cell omics datasets. Genes selected based on TD-based unsupervised FE are also significantly related to reasonable biological roles.
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Affiliation(s)
- Y-h. Taguchi
- Department of Physics, Chuo University, Tokyo 112-8551, Japan
- Correspondence: ; Tel.: +81-3-3817-1791
| | - Turki Turki
- Department of Computer Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia;
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18
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Abstract
The TATA box-binding protein (TBP) is highly conserved throughout eukaryotes and plays a central role in the assembly of the transcription preinitiation complex (PIC) at gene promoters. TBP binds and bends DNA, and directs adjacent binding of the transcription factors TFIIA and TFIIB for PIC assembly. Here, we show that yeast TBP can bind to a nucleosome containing the Widom-601 sequence and that TBP-nucleosome binding is stabilized by TFIIA. We determine three cryo-electron microscopy (cryo-EM) structures of TBP-nucleosome complexes, two of them containing also TFIIA. TBP can bind to superhelical location (SHL) -6, which contains a TATA-like sequence, but also to SHL +2, which is GC-rich. Whereas binding to SHL -6 can occur in the absence of TFIIA, binding to SHL +2 is only observed in the presence of TFIIA and goes along with detachment of upstream terminal DNA from the histone octamer. TBP-nucleosome complexes are sterically incompatible with PIC assembly, explaining why a promoter nucleosome generally impairs transcription and must be moved before initiation can occur.
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Yang P, Chen T, Wu K, Hou Z, Zou Y, Li M, Zhang X, Xu J, Zhao H. A homozygous variant in TBPL2 was identified in women with oocyte maturation defects and infertility. Hum Reprod 2021; 36:2011-2019. [PMID: 33893736 DOI: 10.1093/humrep/deab094] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 03/08/2021] [Indexed: 12/13/2022] Open
Abstract
STUDY QUESTION What are the genetic causes of oocyte maturation defects? SUMMARY ANSWER A homozygous splicing variant (c.788 + 3A>G) in TATA-box binding protein like 2 (TBPL2) was identified as a contributory genetic factor in oocyte maturation defects. WHAT IS KNOWN ALREADY TBPL2, a vertebrate oocyte-specific general transcription factor, is essential for oocyte development. TBPL2 variants have not been studied in human oocyte maturation defects. STUDY DESIGN, SIZE, DURATION Two infertile families characterized by oocyte maturation defects were recruited for whole-exome sequencing (WES). PARTICIPANTS/MATERIALS, SETTING, METHODS Genomic DNA was extracted from peripheral blood for WES analysis. Sanger sequencing was performed for data validation. Pathogenicity of variants was predicted by in silico analysis. Minigene assay and single-oocyte RNA sequencing were performed to investigate the effects of the variant on mRNA integrity and oocyte transcriptome, respectively. MAIN RESULTS AND THE ROLE OF CHANCE A homozygous splicing variant (c.788 + 3A>G) in TBPL2 was identified in two unrelated families characterized by oocyte maturation defects. Haplotype analysis indicated that the disease allele of Families 1 and 2 was independent. The variant disrupted the integrity of TBPL2 mRNA. Transcriptome sequencing of affected oocytes showed that vital genes for oocyte maturation and fertilization were widely and markedly downregulated, suggesting that a mutation in the transcriptional factor, TBPL2, led to global gene alterations in oocytes. LIMITATIONS, REASONS FOR CAUTION Limitations include the lack of direct functional evidence. Owing to the scarcity of human oocyte samples, only two immature MI oocytes were obtained from the patients, and we could only investigate the effect of the mutation at the transcriptional level by high-throughput sequencing technology. No extra oocytes were obtained to assess the transcriptional activity of the mutant oocytes by immunofluorescence, or investigate the effects on the binding of TBPL2 caused by the mutation. WIDER IMPLICATIONS OF THE FINDINGS Our findings highlight a critical role of TBPL2 in female reproduction and identify a homozygous splicing mutation in TBPL2 that might be related to defects in human oocyte maturation. This information will facilitate the genetic diagnosis of infertile individuals with repeated failures of IVF, providing a basis for genetic counseling. STUDY FUNDING/COMPETING INTEREST(S) This study was supported by the National Key Research and Development Program of China (2018YFC1004000, 2017YFC1001504 and 2017YFC1001600), the National Natural Science Foundation of China (81871168, 31900409 and 31871509), the Foundation for Distinguished Young Scholars of Shandong Province (JQ201816), the Innovative Research Team of High-Level Local Universities in Shanghai (SSMU-ZLCX20180401) and the Fundamental Research Funds of Shandong University. The authors have no competing interests to declare. TRIAL REGISTRATION NUMBER N/A.
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Affiliation(s)
- Ping Yang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Tailai Chen
- Shanghai Key Laboratory for Assisted Reproduction and Reproductive Genetics, Center for Reproductive Medicine, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Keliang Wu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Zhenzhen Hou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Yang Zou
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Mei Li
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - XinZe Zhang
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Junting Xu
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
| | - Han Zhao
- Center for Reproductive Medicine, Cheeloo College of Medicine, Shandong University, Key Laboratory of Reproductive Endocrinology of Ministry of Education, Shandong University, Shandong Key Laboratory of Reproductive Medicine, Jinan, China
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20
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Policastro RA, McDonald DJ, Brendel VP, Zentner GE. Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR. NAR Genom Bioinform 2021; 3:lqab051. [PMID: 34250478 PMCID: PMC8265037 DOI: 10.1093/nargab/lqab051] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Revised: 04/29/2021] [Accepted: 05/18/2021] [Indexed: 12/13/2022] Open
Abstract
Heterogeneity in transcription initiation has important consequences for transcript stability and translation, and shifts in transcription start site (TSS) usage are prevalent in various developmental, metabolic, and disease contexts. Accordingly, numerous methods for global TSS profiling have been developed, including most recently Survey of TRanscription Initiation at Promoter Elements with high-throughput sequencing (STRIPE-seq), a method to profile transcription start sites (TSSs) on a genome-wide scale with significant cost and time savings compared to previous methods. In anticipation of more widespread adoption of STRIPE-seq and related methods for construction of promoter atlases and studies of differential gene expression, we built TSRexploreR, an R package for end-to-end analysis of TSS mapping data. TSRexploreR provides functions for TSS and transcription start region (TSR) detection, normalization, correlation, visualization, and differential TSS/TSR analyses. TSRexploreR is highly interoperable, accepting the data structures of TSS and TSR sets generated by several existing tools for processing and alignment of TSS mapping data, such as CAGEr for Cap Analysis of Gene Expression (CAGE) data. Lastly, TSRexploreR implements a novel approach for the detection of shifts in TSS distribution.
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Affiliation(s)
| | - Daniel J McDonald
- Department of Statistics, Indiana University, Bloomington, IN 47405, USA
| | - Volker P Brendel
- Department of Biology, Indiana University, Bloomington, IN 47405, USA
- Department of Computer Science, Indiana University, Bloomington, IN 47405, USA
| | - Gabriel E Zentner
- Department of Biology, Indiana University, Bloomington, IN 47405, USA
- Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, IN 46202, USA
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21
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Wang Y, Xiang M, Yu Z, Hao Y, Xu Q, Kong S, Wang F, Shi X, Song G, Cao Y, Huang L, Zhu F. A homozygous missense mutation in TBPL2 is associated with oocyte maturation arrest and degeneration. Clin Genet 2021; 100:324-328. [PMID: 33966269 DOI: 10.1111/cge.13993] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/19/2021] [Accepted: 05/04/2021] [Indexed: 11/26/2022]
Abstract
The genetic causes in most of patients with oocyte maturation arrest remain largely unknown. In this study, we identified a homozygous missense mutation (c.895T>C; p.C299R) in TBPL2 (TATA box binding protein like 2) in two infertile sisters with oocyte maturation arrest and degeneration from a consanguineous family by whole-exome sequencing. The TBPL2 mutation is rare and pathogenic, and impaired the transcription initiation function of the protein. Our results showed that TBPL2 mutation might be associated with female infertility due to oocyte maturation arrest and degeneration.
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Affiliation(s)
- Yu Wang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Mingfei Xiang
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Zhaojuan Yu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Yan Hao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Qianhua Xu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Shuai Kong
- School of Life Science, Anhui Medical University, Hefei, China
| | - Fengsong Wang
- School of Life Science, Anhui Medical University, Hefei, China
| | - Xuanming Shi
- Department of Biochemistry and Molecular Biology, Anhui Medical University, Hefei, Anhui, China
| | - Gaojie Song
- Shanghai Key Laboratory of Regulatory, Institute of Biomedical Sciences and School of Life Sciences, East China Normal University, Shanghai, China
| | - Yunxia Cao
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
| | - Lingli Huang
- Center for Reproductive Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China
| | - Fuxi Zhu
- Reproductive Medicine Center, Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract (Anhui Medical University), Hefei, Anhui, China.,Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, Hefei, Anhui, China
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