The Firre Locus Produces a Trans-Acting RNA Molecule That Functions in Hematopoiesis

Total Page:16

File Type:pdf, Size:1020Kb

The Firre Locus Produces a Trans-Acting RNA Molecule That Functions in Hematopoiesis ARTICLE https://doi.org/10.1038/s41467-019-12970-4 OPEN The Firre locus produces a trans-acting RNA molecule that functions in hematopoiesis Jordan P. Lewandowski1, James C. Lee 1,2, Taeyoung Hwang1,3, Hongjae Sunwoo 4, Jill M. Goldstein1,5, Abigail F. Groff1,6, Nydia P. Chang1, William Mallard 1, Adam Williams7, Jorge Henao-Meija8, Richard A. Flavell 9, Jeannie T. Lee 4,10,11, Chiara Gerhardinger1, Amy J. Wagers1,5,12 & John L. Rinn 1,3* RNA has been classically known to play central roles in biology, including maintaining telo- 1234567890():,; meres, protein synthesis, and in sex chromosome compensation. While thousands of long noncoding RNAs (lncRNAs) have been identified, attributing RNA-based roles to lncRNA loci requires assessing whether phenotype(s) could be due to DNA regulatory elements, tran- scription, or the lncRNA. Here, we use the conserved X chromosome lncRNA locus Firre,asa model to discriminate between DNA- and RNA-mediated effects in vivo. We demonstrate that (i) Firre mutant mice have cell-specific hematopoietic phenotypes, and (ii) upon expo- sure to lipopolysaccharide, mice overexpressing Firre exhibit increased levels of pro- inflammatory cytokines and impaired survival. (iii) Deletion of Firre does not result in changes in local gene expression, but rather in changes on autosomes that can be rescued by expression of transgenic Firre RNA. Together, our results provide genetic evidence that the Firre locus produces a trans-acting lncRNA that has physiological roles in hematopoiesis. 1 Department of Stem Cell and Regenerative Biology and Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA. 2 Department of Medicine, University of Cambridge School of Clinical Medicine, Addenbrooke’s Hospital, Cambridge, UK. 3 BioFrontiers Institute, University of Colorado Boulder, Boulder, CO, USA. 4 Department of Molecular Biology, Massachusetts General Hospital, Boston, MA, USA. 5 Paul F. Glenn Center for the Biology of Aging, Harvard Medical School, 77 Louis Pasteur Avenue, Boston, MA, USA. 6 Department of Systems Biology, Harvard Medical School, Boston, MA, USA. 7 The Jackson Laboratory, JAX Genomic Medicine, Farmington, CT, USA. 8 Department of Pathology and Laboratory Medicine, Perelman School of Medicine University of Pennsylvania, Philadelphia, PA, USA. 9 Department of Immunobiology and Howard Hughes Medical Institute, Yale University, School of Medicine, New Haven, CT, USA. 10 Department of Genetics, Harvard Medical School, Boston, MA, USA. 11 Howard Hughes Medical Institute, Boston, MA, USA. 12 Joslin Diabetes Center, Boston, MA, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5137 | https://doi.org/10.1038/s41467-019-12970-4 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-12970-4 ranscription occurs at thousands of sites throughout the RNA-seq on eight different WT embryonic tissues and plotted the mammalian genome. Many of these sites are devoid of expression of noncoding and coding transcripts. Consistent with T 32–35 protein-coding genes and instead contain long noncoding previous reports , we observed that noncoding transcripts RNAs (lncRNAs). While lncRNA loci have been implicated in a were generally less abundant than protein-coding transcripts variety of biological functions, comparatively few lncRNA loci (Fig. 1b). Despite most lncRNAs being expressed at low levels, we have been genetically defined to have RNA-based roles. Indeed, found that Firre, like Malat1 (refs36–38), is an abundant transcript deletions of entire lncRNA loci have uncovered a number of (Fig. 1b). Next, since Firre is located on the X chromosome and in vivo phenotypes1–5; however, this approach alone is con- escapes X-inactivation15,22–24, we investigated whether Firre has founded because in addition to the lncRNA transcript, lncRNA different expression levels in male and female WT tissues. While loci can also exert function through DNA regulatory elements6–8, levels of Firre RNA varied across embryonic tissue types, within the promoter region9, as well as by the act of transcription10,11. individual tissues, male and female samples exhibited similar Thus, attributing RNA-based role(s) to lncRNA loci requires expression levels of Firre, despite escaping X-inactivation testing whether other regulatory modes potentially present at the (Fig. 1c). locus have molecular activity that could contribute to phenotypic effects3,12,13. In this study, we use the functional intergenic repeating RNA Firre knockout and overexpression mice are viable and fertile. element, (Firre) locus as a model to discriminate between DNA- To investigate the in vivo role of Firre and assess DNA- and and RNA-mediated effects in vivo. We selected this locus for our RNA-mediated effects, we generated both Firre loss-of-function study because it is syntenically conserved in a number of mam- and Firre overexpression mice. To delete the Firre locus in vivo, mals, including human14–17, and because studies have reported we generated a mouse line containing a floxed allele (Firrefloxed) diverse biological and molecular roles. Early characterization of from a previously targeted mouse embryonic stem cell line15 and the FIRRE locus in human cell lines identified it as a region that mated to a CMV-Cre deleter mouse39. This produced a genomic interacts with the X-linked macrosatellite region, DXZ4,ina deletion (81.8 kb) that removed the entire Firre gene body and CTCF-dependent manner18–21. Further analyses of the Firre locus promoter (henceforth called ΔFirre) (Fig. 1d). We confirmed the demonstrated that it produces a lncRNA that escapes X- deletion of the Firre locus by genotyping (Supplementary Fig. 1) inactivation15,22–24, although it is predominately expressed from and examined Firre RNA expression. As expected, we did not the active X chromosome21,25. Studies using cell culture models detect Firre RNA in ΔFirre embryos by whole-mount in situ suggest that the Firre locus has biological roles in multiple pro- hybridization or by RNA-seq (Fig. 1a, d). cesses, including adipogenesis26, nuclear architecture15,19,21, and Since Firre is found on the X chromosome, we first sought to in the regulation of gene expression programs15,27. In addition, determine if deletion of the locus had an effect on the expected there is some evidence for roles of the FIRRE locus in human sex ratio of the progeny. Matings between ΔFirre mice produced development and disease28–31. Collectively, these studies viable progeny and had a normal frequency of male and female demonstrate the diverse cellular and biological functions for the pups (Supplementary Table 1) that did not exhibit overt Firre locus. However, the biological roles of Firre as well as dis- morphological, skeletal, or weight defects (Supplementary Fig. 2). entangling DNA- and RNA-mediated function(s) for the Firre Moreover, deletion of Firre did not impact expression levels of locus have not been explored in vivo. Xist RNA in embryonic tissues or perturb Xist RNA localization Using multiple genetic approaches, we describe an in vivo role during random X chromosome inactivation (XCI) in mouse for the Firre locus during hematopoiesis. We report that Firre embryonic fibroblasts (MEFs) (Supplementary Fig. 3A–C). mutant mice have cell-specific defects in hematopoietic popula- Because the ΔFirre allele removes the entire gene body, this tions. Deletion of Firre is accompanied by significant changes in model does not allow us to distinguish between DNA- and RNA- gene expression in a hematopoietic progenitor cell type, which mediated effects. Therefore, in order to be able to investigate the can be rescued by induction of Firre RNA from an autosomal role of Firre RNA, we generated a doxycycline (dox)-inducible transgene within the Firre knockout background. Mice over- Firre overexpression mouse. This mouse model was engineered to expressing Firre have increased levels of pro-inflammatory cyto- contain a Firre cDNA downstream of a tet-responsive element kines and significantly impaired survival upon exposure to (henceforth called tg(Firre)), and was mated to mice that lipopolysaccharide (LPS). Finally, the Firre locus does not contain constitutively express the reverse tetracycline transcriptional cis-acting RNA or DNA elements (including the promoter) that activator (rtTA) gene (combined alleles henceforth called FirreOE) regulate neighboring gene expression on the X chromosome (nine (Fig. 1e). This approach enabled systemic induction of Firre RNA biological contexts examined), suggesting that Firre does not in a temporally controllable manner by the administration of dox. function in cis. Collectively, our study provides evidence for a Moreover, by combining the FirreOE and ΔFirre alleles (hence- trans-acting RNA-based role for the Firre locus that, thus far, has forth called Firrerescue), we could test whether Firre RNA physiological importance for hematopoiesis. expression alone is sufficient to rescue phenotypes arising in the ΔFirre mice, thereby distinguishing DNA- and RNA-based effects. To confirm expression of transgenic Firre RNA, tg(Firre) Results females were mated with rtTA males and placed on a dox diet the The Firre locus produces an abundant lncRNA.Wefirst sought day a copulatory plug was detected, and embryos were collected to investigate the gene expression properties for Firre RNA at E11.5 for analyses. Compared with sibling control embryos, we in vivo. To determine potential spatial and temporal aspects of detected increased Firre RNA in
Recommended publications
  • Regulation and Dysregulation of Chromosome Structure in Cancer
    Regulation and Dysregulation of Chromosome Structure in Cancer The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Hnisz, Denes et al. “Regulation and Dysregulation of Chromosome Structure in Cancer.” Annual Review of Cancer Biology 2, 1 (March 2018): 21–40 © 2018 Annual Reviews As Published https://doi.org/10.1146/annurev-cancerbio-030617-050134 Version Author's final manuscript Citable link http://hdl.handle.net/1721.1/117286 Terms of Use Creative Commons Attribution-Noncommercial-Share Alike Detailed Terms http://creativecommons.org/licenses/by-nc-sa/4.0/ Regulation and dysregulation of chromosome structure in cancer Denes Hnisz1*, Jurian Schuijers1, Charles H. Li1,2, Richard A. Young1,2* 1 Whitehead Institute for Biomedical Research, 455 Main Street, Cambridge, MA 02142, USA 2 Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA * Corresponding authors Corresponding Authors: Denes Hnisz Whitehead Institute for Biomedical Research 455 Main Street Cambridge, MA 02142 Tel: (617) 258-7181 Fax: (617) 258-0376 [email protected] Richard A. Young Whitehead Institute for Biomedical Research 455 Main Street Cambridge, MA 02142 Tel: (617) 258-5218 Fax: (617) 258-0376 [email protected] 1 Summary Cancer arises from genetic alterations that produce dysregulated gene expression programs. Normal gene regulation occurs in the context of chromosome loop structures called insulated neighborhoods, and recent studies have shown that these structures are altered and can contribute to oncogene dysregulation in various cancer cells. We review here the types of genetic and epigenetic alterations that influence neighborhood structures and contribute to gene dysregulation in cancer, present models for insulated neighborhoods associated with the most prominent human oncogenes, and discuss how such models may lead to further advances in cancer diagnosis and therapy.
    [Show full text]
  • DNA Replication Stress Response Involving PLK1, CDC6, POLQ
    DNA replication stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients C. Allera-Moreau, I. Rouquette, B. Lepage, N. Oumouhou, M. Walschaerts, E. Leconte, V. Schilling, K. Gordien, L. Brouchet, Mb Delisle, et al. To cite this version: C. Allera-Moreau, I. Rouquette, B. Lepage, N. Oumouhou, M. Walschaerts, et al.. DNA replica- tion stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients. Oncogenesis, Nature Publishing Group: Open Access Journals - Option C, 2012, 1, pp.e30. 10.1038/oncsis.2012.29. hal-00817701 HAL Id: hal-00817701 https://hal.archives-ouvertes.fr/hal-00817701 Submitted on 9 Jun 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives| 4.0 International License Citation: Oncogenesis (2012) 1, e30; doi:10.1038/oncsis.2012.29 & 2012 Macmillan Publishers Limited All rights reserved 2157-9024/12 www.nature.com/oncsis ORIGINAL ARTICLE DNA replication stress response involving PLK1, CDC6, POLQ, RAD51 and CLASPIN upregulation prognoses the outcome of early/mid-stage non-small cell lung cancer patients C Allera-Moreau1,2,7, I Rouquette2,7, B Lepage3, N Oumouhou3, M Walschaerts4, E Leconte5, V Schilling1, K Gordien2, L Brouchet2, MB Delisle1,2, J Mazieres1,2, JS Hoffmann1, P Pasero6 and C Cazaux1 Lung cancer is the leading cause of cancer deaths worldwide.
    [Show full text]
  • Supplemental Information
    Supplemental information Dissection of the genomic structure of the miR-183/96/182 gene. Previously, we showed that the miR-183/96/182 cluster is an intergenic miRNA cluster, located in a ~60-kb interval between the genes encoding nuclear respiratory factor-1 (Nrf1) and ubiquitin-conjugating enzyme E2H (Ube2h) on mouse chr6qA3.3 (1). To start to uncover the genomic structure of the miR- 183/96/182 gene, we first studied genomic features around miR-183/96/182 in the UCSC genome browser (http://genome.UCSC.edu/), and identified two CpG islands 3.4-6.5 kb 5’ of pre-miR-183, the most 5’ miRNA of the cluster (Fig. 1A; Fig. S1 and Seq. S1). A cDNA clone, AK044220, located at 3.2-4.6 kb 5’ to pre-miR-183, encompasses the second CpG island (Fig. 1A; Fig. S1). We hypothesized that this cDNA clone was derived from 5’ exon(s) of the primary transcript of the miR-183/96/182 gene, as CpG islands are often associated with promoters (2). Supporting this hypothesis, multiple expressed sequences detected by gene-trap clones, including clone D016D06 (3, 4), were co-localized with the cDNA clone AK044220 (Fig. 1A; Fig. S1). Clone D016D06, deposited by the German GeneTrap Consortium (GGTC) (http://tikus.gsf.de) (3, 4), was derived from insertion of a retroviral construct, rFlpROSAβgeo in 129S2 ES cells (Fig. 1A and C). The rFlpROSAβgeo construct carries a promoterless reporter gene, the β−geo cassette - an in-frame fusion of the β-galactosidase and neomycin resistance (Neor) gene (5), with a splicing acceptor (SA) immediately upstream, and a polyA signal downstream of the β−geo cassette (Fig.
    [Show full text]
  • Análise Integrativa De Perfis Transcricionais De Pacientes Com
    UNIVERSIDADE DE SÃO PAULO FACULDADE DE MEDICINA DE RIBEIRÃO PRETO PROGRAMA DE PÓS-GRADUAÇÃO EM GENÉTICA ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Ribeirão Preto – 2012 ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas Tese apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo para obtenção do título de Doutor em Ciências. Área de Concentração: Genética Orientador: Prof. Dr. Eduardo Antonio Donadi Co-orientador: Prof. Dr. Geraldo A. S. Passos Ribeirão Preto – 2012 AUTORIZO A REPRODUÇÃO E DIVULGAÇÃO TOTAL OU PARCIAL DESTE TRABALHO, POR QUALQUER MEIO CONVENCIONAL OU ELETRÔNICO, PARA FINS DE ESTUDO E PESQUISA, DESDE QUE CITADA A FONTE. FICHA CATALOGRÁFICA Evangelista, Adriane Feijó Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas. Ribeirão Preto, 2012 192p. Tese de Doutorado apresentada à Faculdade de Medicina de Ribeirão Preto da Universidade de São Paulo. Área de Concentração: Genética. Orientador: Donadi, Eduardo Antonio Co-orientador: Passos, Geraldo A. 1. Expressão gênica – microarrays 2. Análise bioinformática por module maps 3. Diabetes mellitus tipo 1 4. Diabetes mellitus tipo 2 5. Diabetes mellitus gestacional FOLHA DE APROVAÇÃO ADRIANE FEIJÓ EVANGELISTA Análise integrativa de perfis transcricionais de pacientes com diabetes mellitus tipo 1, tipo 2 e gestacional, comparando-os com manifestações demográficas, clínicas, laboratoriais, fisiopatológicas e terapêuticas.
    [Show full text]
  • Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
    bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes.
    [Show full text]
  • Supplementary Table S1. Correlation Between the Mutant P53-Interacting Partners and PTTG3P, PTTG1 and PTTG2, Based on Data from Starbase V3.0 Database
    Supplementary Table S1. Correlation between the mutant p53-interacting partners and PTTG3P, PTTG1 and PTTG2, based on data from StarBase v3.0 database. PTTG3P PTTG1 PTTG2 Gene ID Coefficient-R p-value Coefficient-R p-value Coefficient-R p-value NF-YA ENSG00000001167 −0.077 8.59e-2 −0.210 2.09e-6 −0.122 6.23e-3 NF-YB ENSG00000120837 0.176 7.12e-5 0.227 2.82e-7 0.094 3.59e-2 NF-YC ENSG00000066136 0.124 5.45e-3 0.124 5.40e-3 0.051 2.51e-1 Sp1 ENSG00000185591 −0.014 7.50e-1 −0.201 5.82e-6 −0.072 1.07e-1 Ets-1 ENSG00000134954 −0.096 3.14e-2 −0.257 4.83e-9 0.034 4.46e-1 VDR ENSG00000111424 −0.091 4.10e-2 −0.216 1.03e-6 0.014 7.48e-1 SREBP-2 ENSG00000198911 −0.064 1.53e-1 −0.147 9.27e-4 −0.073 1.01e-1 TopBP1 ENSG00000163781 0.067 1.36e-1 0.051 2.57e-1 −0.020 6.57e-1 Pin1 ENSG00000127445 0.250 1.40e-8 0.571 9.56e-45 0.187 2.52e-5 MRE11 ENSG00000020922 0.063 1.56e-1 −0.007 8.81e-1 −0.024 5.93e-1 PML ENSG00000140464 0.072 1.05e-1 0.217 9.36e-7 0.166 1.85e-4 p63 ENSG00000073282 −0.120 7.04e-3 −0.283 1.08e-10 −0.198 7.71e-6 p73 ENSG00000078900 0.104 2.03e-2 0.258 4.67e-9 0.097 3.02e-2 Supplementary Table S2.
    [Show full text]
  • Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Non-Small Cell Lung Cancer
    Statistical and Bioinformatic Analysis of Hemimethylation Patterns in Non-Small Cell Lung Cancer Shuying Sun ( [email protected] ) Texas State University San Marcos https://orcid.org/0000-0003-3974-6996 Austin Zane Texas A&M University College Station Carolyn Fulton Schreiner University Jasmine Philipoom Case Western Reserve University Research article Keywords: Methylation, Hemimethylation, Lung Cancer, Bioinformatics, Epigenetics Posted Date: October 12th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-17794/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Version of Record: A version of this preprint was published on March 12th, 2021. See the published version at https://doi.org/10.1186/s12885-021-07990-7. Page 1/29 Abstract Background: DNA methylation is an epigenetic event involving the addition of a methyl-group to a cytosine-guanine base pair (i.e., CpG site). It is associated with different cancers. Our research focuses on studying non- small cell lung cancer hemimethylation, which refers to methylation occurring on only one of the two DNA strands. Many studies often assume that methylation occurs on both DNA strands at a CpG site. However, recent publications show the existence of hemimethylation and its signicant impact. Therefore, it is important to identify cancer hemimethylation patterns. Methods: In this paper, we use the Wilcoxon signed rank test to identify hemimethylated CpG sites based on publicly available non-small cell lung cancer methylation sequencing data. We then identify two types of hemimethylated CpG clusters, regular and polarity clusters, and genes with large numbers of hemimethylated sites.
    [Show full text]
  • Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
    Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A.
    [Show full text]
  • Gene Expression Profiles Complement the Analysis of Genomic Modifiers of the Clinical Onset of Huntington Disease
    bioRxiv preprint doi: https://doi.org/10.1101/699033; this version posted July 11, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Gene expression profiles complement the analysis of genomic modifiers of the clinical onset of Huntington disease Galen E.B. Wright1,2,3; Nicholas S. Caron1,2,3; Bernard Ng1,2,4; Lorenzo Casal1,2,3; Xiaohong Xu5; Jolene Ooi5; Mahmoud A. Pouladi5,6,7; Sara Mostafavi1,2,4; Colin J.D. Ross3,7 and Michael R. Hayden1,2,3* 1Centre for Molecular Medicine and Therapeutics, Vancouver, British Columbia, Canada; 2Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada; 3BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada; 4Department of Statistics, University of British Columbia, Vancouver, British Columbia, Canada; 5Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (A*STAR), Singapore; 6Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; 7Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; 8Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada; *Corresponding author ABSTRACT Huntington disease (HD) is a neurodegenerative disorder that is caused by a CAG repeat expansion in the HTT gene. In an attempt to identify genomic modifiers that contribute towards the age of onset of HD, we performed a transcriptome wide association study assessing heritable differences in genetically determined expression in diverse tissues, employing genome wide data from over 4,000 patients.
    [Show full text]
  • Disruption of Chtf18 Causes Defective Meiotic Recombination in Male Mice
    Disruption of Chtf18 Causes Defective Meiotic Recombination in Male Mice Karen M. Berkowitz1,2*, Aislinn R. Sowash1,2, Lydia R. Koenig1,2, Dawnette Urcuyo1,2, Fahmida Khan1,2, Fang Yang3, P. Jeremy Wang3, Thomas A. Jongens4, Klaus H. Kaestner4 1 Department of Obstetrics and Gynecology, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America, 2 Department of Biochemistry and Molecular Biology, Drexel University College of Medicine, Philadelphia, Pennsylvania, United States of America, 3 Department of Animal Biology, School of Veterinary Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America, 4 Department of Genetics, School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America Abstract CHTF18 (chromosome transmission fidelity factor 18) is an evolutionarily conserved subunit of the Replication Factor C-like complex, CTF18-RLC. CHTF18 is necessary for the faithful passage of chromosomes from one daughter cell to the next during mitosis in yeast, and it is crucial for germline development in the fruitfly. Previously, we showed that mouse Chtf18 is expressed throughout the germline, suggesting a role for CHTF18 in mammalian gametogenesis. To determine the role of CHTF18 in mammalian germ cell development, we derived mice carrying null and conditional mutations in the Chtf18 gene. Chtf18-null males exhibit 5-fold decreased sperm concentrations compared to wild-type controls, resulting in subfertility. Loss of Chtf18 results in impaired spermatogenesis; spermatogenic cells display abnormal morphology, and the stereotypical arrangement of cells within seminiferous tubules is perturbed. Meiotic recombination is defective and homologous chromosomes separate prematurely during prophase I. Repair of DNA double-strand breaks is delayed and incomplete; both RAD51 and cH2AX persist in prophase I.
    [Show full text]
  • Genomic and Transcriptome Analysis Revealing an Oncogenic Functional Module in Meningiomas
    Neurosurg Focus 35 (6):E3, 2013 ©AANS, 2013 Genomic and transcriptome analysis revealing an oncogenic functional module in meningiomas XIAO CHANG, PH.D.,1 LINGLING SHI, PH.D.,2 FAN GAO, PH.D.,1 JONATHAN RUssIN, M.D.,3 LIYUN ZENG, PH.D.,1 SHUHAN HE, B.S.,3 THOMAS C. CHEN, M.D.,3 STEVEN L. GIANNOTTA, M.D.,3 DANIEL J. WEISENBERGER, PH.D.,4 GAbrIEL ZADA, M.D.,3 KAI WANG, PH.D.,1,5,6 AND WIllIAM J. MAck, M.D.1,3 1Zilkha Neurogenetic Institute, Keck School of Medicine, University of Southern California, Los Angeles, California; 2GHM Institute of CNS Regeneration, Jinan University, Guangzhou, China; 3Department of Neurosurgery, Keck School of Medicine, University of Southern California, Los Angeles, California; 4USC Epigenome Center, Keck School of Medicine, University of Southern California, Los Angeles, California; 5Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, California; and 6Division of Bioinformatics, Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California Object. Meningiomas are among the most common primary adult brain tumors. Although typically benign, roughly 2%–5% display malignant pathological features. The key molecular pathways involved in malignant trans- formation remain to be determined. Methods. Illumina expression microarrays were used to assess gene expression levels, and Illumina single- nucleotide polymorphism arrays were used to identify copy number variants in benign, atypical, and malignant me- ningiomas (19 tumors, including 4 malignant ones). The authors also reanalyzed 2 expression data sets generated on Affymetrix microarrays (n = 68, including 6 malignant ones; n = 56, including 3 malignant ones).
    [Show full text]
  • Cryptic Splicing Events in the Iron Transporter ABCB7 and Other Key Target Genes in SF3B1-Mutant Myelodysplastic Syndromes
    OPEN Leukemia (2016) 30, 2322–2331 www.nature.com/leu ORIGINAL ARTICLE Cryptic splicing events in the iron transporter ABCB7 and other key target genes in SF3B1-mutant myelodysplastic syndromes H Dolatshad1,2,8, A Pellagatti1,2,8, FG Liberante3, M Llorian4, E Repapi5, V Steeples1,2, S Roy1,2, L Scifo1,2, RN Armstrong1,2, J Shaw1,2, BH Yip1,2, S Killick6,RKušec7, S Taylor5, KI Mills3, KI Savage3, CWJ Smith4 and J Boultwood1,2 The splicing factor SF3B1 is the most frequently mutated gene in myelodysplastic syndromes (MDS), and is strongly associated with the presence of ring sideroblasts (RS). We have performed a systematic analysis of cryptic splicing abnormalities from RNA sequencing data on hematopoietic stem cells (HSCs) of SF3B1-mutant MDS cases with RS. Aberrant splicing events in many downstream target genes were identified and cryptic 3′ splice site usage was a frequent event in SF3B1-mutant MDS. The iron transporter ABCB7 is a well-recognized candidate gene showing marked downregulation in MDS with RS. Our analysis unveiled aberrant ABCB7 splicing, due to usage of an alternative 3′ splice site in MDS patient samples, giving rise to a premature termination codon in the ABCB7 mRNA. Treatment of cultured SF3B1-mutant MDS erythroblasts and a CRISPR/Cas9-generated SF3B1-mutant cell line with the nonsense-mediated decay (NMD) inhibitor cycloheximide showed that the aberrantly spliced ABCB7 transcript is targeted by NMD. We describe cryptic splicing events in the HSCs of SF3B1-mutant MDS, and our data support a model in which NMD-induced downregulation of the iron exporter ABCB7 mRNA transcript resulting from aberrant splicing caused by mutant SF3B1 underlies the increased mitochondrial iron accumulation found in MDS patients with RS.
    [Show full text]