Efficient Neocentromere Formation Is Suppressed by Gene Conversion to Maintain Centromere Function at Native Physical Chromosomal Loci in Candida Albicans
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Gene Knockdown of CENPA Reduces Sphere Forming Ability and Stemness of Glioblastoma Initiating Cells
Neuroepigenetics 7 (2016) 6–18 Contents lists available at ScienceDirect Neuroepigenetics journal homepage: www.elsevier.com/locate/nepig Gene knockdown of CENPA reduces sphere forming ability and stemness of glioblastoma initiating cells Jinan Behnan a,1, Zanina Grieg b,c,1, Mrinal Joel b,c, Ingunn Ramsness c, Biljana Stangeland a,b,⁎ a Department of Molecular Medicine, Institute of Basic Medical Sciences, The Medical Faculty, University of Oslo, Oslo, Norway b Norwegian Center for Stem Cell Research, Department of Immunology and Transfusion Medicine, Oslo University Hospital, Oslo, Norway c Vilhelm Magnus Laboratory for Neurosurgical Research, Institute for Surgical Research and Department of Neurosurgery, Oslo University Hospital, Oslo, Norway article info abstract Article history: CENPA is a centromere-associated variant of histone H3 implicated in numerous malignancies. However, the Received 20 May 2016 role of this protein in glioblastoma (GBM) has not been demonstrated. GBM is one of the most aggressive Received in revised form 23 July 2016 human cancers. GBM initiating cells (GICs), contained within these tumors are deemed to convey Accepted 2 August 2016 characteristics such as invasiveness and resistance to therapy. Therefore, there is a strong rationale for targeting these cells. We investigated the expression of CENPA and other centromeric proteins (CENPs) in Keywords: fi CENPA GICs, GBM and variety of other cell types and tissues. Bioinformatics analysis identi ed the gene signature: fi Centromeric proteins high_CENP(AEFNM)/low_CENP(BCTQ) whose expression correlated with signi cantly worse GBM patient Glioblastoma survival. GBM Knockdown of CENPA reduced sphere forming ability, proliferation and cell viability of GICs. We also Brain tumor detected significant reduction in the expression of stemness marker SOX2 and the proliferation marker Glioblastoma initiating cells and therapeutic Ki67. -
Centromere RNA Is a Key Component for the Assembly of Nucleoproteins at the Nucleolus and Centromere
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Centromere RNA is a key component for the assembly of nucleoproteins at the nucleolus and centromere Lee H. Wong,1,3 Kate H. Brettingham-Moore,1 Lyn Chan,1 Julie M. Quach,1 Melisssa A. Anderson,1 Emma L. Northrop,1 Ross Hannan,2 Richard Saffery,1 Margaret L. Shaw,1 Evan Williams,1 and K.H. Andy Choo1 1Chromosome and Chromatin Research Laboratory, Murdoch Childrens Research Institute & Department of Paediatrics, University of Melbourne, Royal Children’s Hospital, Parkville 3052, Victoria, Australia; 2Peter MacCallum Research Institute, St. Andrew’s Place, East Melbourne, Victoria 3002, Australia The centromere is a complex structure, the components and assembly pathway of which remain inadequately defined. Here, we demonstrate that centromeric ␣-satellite RNA and proteins CENPC1 and INCENP accumulate in the human interphase nucleolus in an RNA polymerase I–dependent manner. The nucleolar targeting of CENPC1 and INCENP requires ␣-satellite RNA, as evident from the delocalization of both proteins from the nucleolus in RNase-treated cells, and the nucleolar relocalization of these proteins following ␣-satellite RNA replenishment in these cells. Using protein truncation and in vitro mutagenesis, we have identified the nucleolar localization sequences on CENPC1 and INCENP. We present evidence that CENPC1 is an RNA-associating protein that binds ␣-satellite RNA by an in vitro binding assay. Using chromatin immunoprecipitation, RNase treatment, and “RNA replenishment” experiments, we show that ␣-satellite RNA is a key component in the assembly of CENPC1, INCENP, and survivin (an INCENP-interacting protein) at the metaphase centromere. -
PDF Output of CLIC (Clustering by Inferred Co-Expression)
PDF Output of CLIC (clustering by inferred co-expression) Dataset: Num of genes in input gene set: 13 Total number of genes: 16493 CLIC PDF output has three sections: 1) Overview of Co-Expression Modules (CEMs) Heatmap shows pairwise correlations between all genes in the input query gene set. Red lines shows the partition of input genes into CEMs, ordered by CEM strength. Each row shows one gene, and the brightness of squares indicates its correlations with other genes. Gene symbols are shown at left side and on the top of the heatmap. 2) Details of each CEM and its expansion CEM+ Top panel shows the posterior selection probability (dataset weights) for top GEO series datasets. Bottom panel shows the CEM genes (blue rows) as well as expanded CEM+ genes (green rows). Each column is one GEO series dataset, sorted by their posterior probability of being selected. The brightness of squares indicates the gene's correlations with CEM genes in the corresponding dataset. CEM+ includes genes that co-express with CEM genes in high-weight datasets, measured by LLR score. 3) Details of each GEO series dataset and its expression profile: Top panel shows the detailed information (e.g. title, summary) for the GEO series dataset. Bottom panel shows the background distribution and the expression profile for CEM genes in this dataset. Overview of Co-Expression Modules (CEMs) with Dataset Weighting Scale of average Pearson correlations Num of Genes in Query Geneset: 13. Num of CEMs: 1. 0.0 0.2 0.4 0.6 0.8 1.0 Cenpk Cenph Cenpp Cenpu Cenpn Cenpq Cenpl Apitd1 -
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. -
Birth, Evolution, and Transmission of Satellite-Free Mammalian Centromeric Domains
Downloaded from genome.cshlp.org on October 7, 2021 - Published by Cold Spring Harbor Laboratory Press Research Birth, evolution, and transmission of satellite-free mammalian centromeric domains Solomon G. Nergadze,1,6 Francesca M. Piras,1,6 Riccardo Gamba,1,6 Marco Corbo,1,6 † Federico Cerutti,1, Joseph G.W. McCarter,2 Eleonora Cappelletti,1 Francesco Gozzo,1 Rebecca M. Harman,3 Douglas F. Antczak,3 Donald Miller,3 Maren Scharfe,4 Giulio Pavesi,5 Elena Raimondi,1 Kevin F. Sullivan,2 and Elena Giulotto1 1Department of Biology and Biotechnology “Lazzaro Spallanzani,” University of Pavia, 27100 Pavia, Italy; 2Centre for Chromosome Biology, School of Natural Sciences, National University of Ireland, Galway, H91 TK33, Ireland; 3Baker Institute for Animal Health, College of Veterinary Medicine, Cornell University, Ithaca, New York 14850, USA; 4Genomanalytik (GMAK), Helmholtz Centre for Infection Research (HZI), 38124 Braunschweig, Germany; 5Department of Biosciences, University of Milano, 20122 Milano, Italy Mammalian centromeres are associated with highly repetitive DNA (satellite DNA), which has so far hindered molecular analysis of this chromatin domain. Centromeres are epigenetically specified, and binding of the CENPA protein is their main determinant. In previous work, we described the first example of a natural satellite-free centromere on Equus caballus Chromosome 11. Here, we investigated the satellite-free centromeres of Equus asinus by using ChIP-seq with anti-CENPA an- tibodies. We identified an extraordinarily high number of centromeres lacking satellite DNA (16 of 31). All of them lay in LINE- and AT-rich regions. A subset of these centromeres is associated with DNA amplification. The location of CENPA binding domains can vary in different individuals, giving rise to epialleles. -
Ribosomal DNA Copy Number Is Coupled with Gene Expression Variation and Mitochondrial Abundance in Humans
ARTICLE Received 12 Apr 2014 | Accepted 30 Jul 2014 | Published 11 Sep 2014 DOI: 10.1038/ncomms5850 Ribosomal DNA copy number is coupled with gene expression variation and mitochondrial abundance in humans John G. Gibbons1, Alan T. Branco1, Shoukai Yu1 & Bernardo Lemos1 Ribosomes are essential intracellular machines composed of proteins and RNA molecules. The DNA sequences (rDNA) encoding ribosomal RNAs (rRNAs) are tandemly repeated and give origin to the nucleolus. Here we develop a computational method for estimating rDNA dosage (copy number) and mitochondrial DNA abundance using whole-genome short-read DNA sequencing. We estimate these attributes across hundreds of human genomes and their association with global gene expression. The analyses uncover abundant variation in rDNA dosage that is coupled with the expression of hundreds of functionally coherent gene sets. These include associations with genes coding for chromatin components that target the nucleolus, including CTCF and HP1b. Finally, the data show an inverse association between rDNA dosage and mitochondrial DNA abundance that is manifested across genotypes. Our findings uncover a novel and cryptic source of hypervariable genomic diversity with global regulatory consequences (ribosomal eQTL) in humans. The variation provides a mechanism for cellular homeostasis and for rapid and reversible adaptation. 1 Program in Molecular and Integrative Physiological Sciences, Department of Environmental Health, Harvard School of Public Health, 665 Huntington Avenue, Building 2, Room 219, Boston, Massachusetts 02115, USA. Correspondence and requests for materials should be addressed to B.L. (email: [email protected]). NATURE COMMUNICATIONS | 5:4850 | DOI: 10.1038/ncomms5850 | www.nature.com/naturecommunications 1 & 2014 Macmillan Publishers Limited. -
Rapid Molecular Assays to Study Human Centromere Genomics
Downloaded from genome.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press Method Rapid molecular assays to study human centromere genomics Rafael Contreras-Galindo,1 Sabrina Fischer,1,2 Anjan K. Saha,1,3,4 John D. Lundy,1 Patrick W. Cervantes,1 Mohamad Mourad,1 Claire Wang,1 Brian Qian,1 Manhong Dai,5 Fan Meng,5,6 Arul Chinnaiyan,7,8 Gilbert S. Omenn,1,9,10 Mark H. Kaplan,1 and David M. Markovitz1,4,11,12 1Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan 48109, USA; 2Laboratory of Molecular Virology, Centro de Investigaciones Nucleares, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay 11400; 3Medical Scientist Training Program, University of Michigan, Ann Arbor, Michigan 48109, USA; 4Program in Cancer Biology, University of Michigan, Ann Arbor, Michigan 48109, USA; 5Molecular and Behavioral Neuroscience Institute, University of Michigan, Ann Arbor, Michigan 48109, USA; 6Department of Psychiatry, University of Michigan, Ann Arbor, Michigan 48109, USA; 7Michigan Center for Translational Pathology and Comprehensive Cancer Center, University of Michigan Medical School, Ann Arbor, Michigan 48109, USA; 8Howard Hughes Medical Institute, Chevy Chase, Maryland 20815, USA; 9Department of Human Genetics, 10Departments of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA; 11Program in Immunology, University of Michigan, Ann Arbor, Michigan 48109, USA; 12Program in Cellular and Molecular Biology, University of Michigan, Ann Arbor, Michigan 48109, USA The centromere is the structural unit responsible for the faithful segregation of chromosomes. Although regulation of cen- tromeric function by epigenetic factors has been well-studied, the contributions of the underlying DNA sequences have been much less well defined, and existing methodologies for studying centromere genomics in biology are laborious. -
CENP-A Overexpression Promotes Distinct Fates in Human Cells, Depending on P53 Status
ARTICLE https://doi.org/10.1038/s42003-021-01941-5 OPEN CENP-A overexpression promotes distinct fates in human cells, depending on p53 status Daniel Jeffery 1, Alberto Gatto 1, Katrina Podsypanina1, Charlène Renaud-Pageot 1, Rebeca Ponce Landete 1, Lorraine Bonneville1, Marie Dumont2, Daniele Fachinetti 2 & ✉ Geneviève Almouzni 1 Tumour evolution is driven by both genetic and epigenetic changes. CENP-A, the centromeric histone H3 variant, is an epigenetic mark that directly perturbs genetic stability and chro- matin when overexpressed. Although CENP-A overexpression is a common feature of many cancers, how this impacts cell fate and response to therapy remains unclear. Here, we 1234567890():,; established a tunable system of inducible and reversible CENP-A overexpression combined with a switch in p53 status in human cell lines. Through clonogenic survival assays, single-cell RNA-sequencing and cell trajectory analysis, we uncover the tumour suppressor p53 as a key determinant of how CENP-A impacts cell state, cell identity and therapeutic response. If p53 is functional, CENP-A overexpression promotes senescence and radiosensitivity. Surprisingly, when we inactivate p53, CENP-A overexpression instead promotes epithelial-mesenchymal transition, an essential process in mammalian development but also a precursor for tumour cell invasion and metastasis. Thus, we uncover an unanticipated function of CENP-A over- expression to promote cell fate reprogramming, with important implications for development and tumour evolution. 1 Institut Curie, PSL Research University, CNRS, Sorbonne Université, Nuclear Dynamics Unit, Equipe Labellisée Ligue contre le Cancer, Paris, France. 2 Institut ✉ Curie, PSL Research University, Centre de Recherche, Sorbonne Université, Cell Biology and Cancer Unit, Paris, France. -
Describe the Organisation of the Human Genome. How Has Knowledge of the Genome Sequence Assisted Our Understanding of This Organisation?
Describe the organisation of the human genome. How has knowledge of the genome sequence assisted our understanding of this organisation? Since Avery, MacLeod and McCarty were able to prove that DNA was the genetic blueprint to life in 1944, research into the human genome has been one of the fastest evolving areas of science as scientists sequence and compare different sections of DNA of animals. All of this is with the purpose of finding new evidence for links between the genome and diseases, evolutionary ancestors, purposes of specific proteins and just out of scientific curiosity. The largest of these projects was the Human Genome Project which, completed in April of 2003, had successfully sequenced 99% of the euchromatic human genome with 99.99% accuracy [1]. This was a huge step in understanding the genome and its organisation for the purpose of gene expression and control. In this essay I will discuss the different sections of the human genome which have been sequenced, with the intent to explain our current understanding of the genome’s sequence and therefore its organisation. BASIC STRUCTURE The human genome is made up of DNA (deoxyribose nucleic acid) which is a double stranded molecule made up of repeating units of deoxyribose (a sugar), a phosphate group, and one of four nitrogenous bases which can be adenine (A), thymine (T), guanine (G) or cytosine (C) making what is known as a nucleotide. This polymer forms a string of over 3 billion letters which are the basis for everything that our bodies are capable of doing due to different arrangements of these same nucleotides [2]. -
The Genetic Program of Pancreatic Beta-Cell Replication in Vivo
Page 1 of 65 Diabetes The genetic program of pancreatic beta-cell replication in vivo Agnes Klochendler1, Inbal Caspi2, Noa Corem1, Maya Moran3, Oriel Friedlich1, Sharona Elgavish4, Yuval Nevo4, Aharon Helman1, Benjamin Glaser5, Amir Eden3, Shalev Itzkovitz2, Yuval Dor1,* 1Department of Developmental Biology and Cancer Research, The Institute for Medical Research Israel-Canada, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel 2Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot, Israel. 3Department of Cell and Developmental Biology, The Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem 91904, Israel 4Info-CORE, Bioinformatics Unit of the I-CORE Computation Center, The Hebrew University and Hadassah, The Institute for Medical Research Israel- Canada, The Hebrew University-Hadassah Medical School, Jerusalem 91120, Israel 5Endocrinology and Metabolism Service, Department of Internal Medicine, Hadassah-Hebrew University Medical Center, Jerusalem 91120, Israel *Correspondence: [email protected] Running title: The genetic program of pancreatic β-cell replication 1 Diabetes Publish Ahead of Print, published online March 18, 2016 Diabetes Page 2 of 65 Abstract The molecular program underlying infrequent replication of pancreatic beta- cells remains largely inaccessible. Using transgenic mice expressing GFP in cycling cells we sorted live, replicating beta-cells and determined their transcriptome. Replicating beta-cells upregulate hundreds of proliferation- related genes, along with many novel putative cell cycle components. Strikingly, genes involved in beta-cell functions, namely glucose sensing and insulin secretion were repressed. Further studies using single molecule RNA in situ hybridization revealed that in fact, replicating beta-cells double the amount of RNA for most genes, but this upregulation excludes genes involved in beta-cell function. -
Construction of Neocentromere-Based Human Minichromosomes by Telomere-Associated Chromosomal Truncation
Construction of neocentromere-based human minichromosomes by telomere-associated chromosomal truncation Richard Saffery*, Lee H. Wong*, Danielle V. Irvine, Melissa A. Bateman, Belinda Griffiths, Suzanne M. Cutts, Michael R. Cancilla, Angela C. Cendron, Angela J. Stafford, and K. H. Andy Choo† The Murdoch Children’s Research Institute, Royal Children’s Hospital, Flemington Road, Melbourne 3052, Australia Edited by John A. Carbon, University of California, Santa Barbara, CA, and approved March 1, 2001 (received for review October 3, 2000) Neocentromeres (NCs) are fully functional centromeres that arise chromosomes. We describe here the production of mitotically ectopically in noncentromeric regions lacking ␣-satellite DNA. stable NC-based human MiCs containing a fully functional Using telomere-associated chromosome truncation, we have pro- human NC derived from the 10q25 region of the mardel(10) duced a series of minichromosomes (MiCs) from a mardel(10) marker chromosome (27, 28). marker chromosome containing a previously characterized human NC. These MiCs range in size from Ϸ0.7 to 1.8 Mb and contain Experimental Protocols single-copy intact genomic DNA from the 10q25 region. Two of Cell Culture and Transfection. BE2Cl-18–5f (abbreviated 5f) was these NC-based Mi-Cs (NC-MiCs) appear circular whereas one is cultured as described (28). HT1080 and derivatives were cultured in linear. All demonstrate stability in both structure and mitotic DMEM (GIBCO͞BRL) with 10% FCS. Hygromycin (Roche Mo- transmission in the absence of drug selection. Presence of a lecular Biochemicals), puromycin (Sigma), or zeocin (Invitrogen) functional NC is shown by binding a host of key centromere- were added to medium at 250 g͞ml, 1 g͞ml, or 200 g͞ml, associated proteins. -
Molecular Characterization of an Analphoid
Altieri et al. Molecular Cytogenetics 2014, 7:69 http://www.molecularcytogenetics.org/content/7/1/69 CASE REPORT Open Access Molecular characterization of an analphoid supernumerary marker chromosome derived from 18q22.1➔qter in prenatal diagnosis: a case report Vincenzo Altieri1†, Oronzo Capozzi2†, Maria Cristina Marzano3, Oriana Catapano4, Immacolata Di Biase4, Mariano Rocchi2* and Giuliana De Tollis1* Abstract Background: Small supernumerary marker chromosomes (sSMC) occur in 0.072% of unselected cases of prenatal diagnoses, and their molecular cytogenetic characterization is required to establish a reliable karyotype-phenotype correlation. A small group of sSMC are C-band-negative and devoid of alpha-satellite DNA. We report the molecular cytogenetic characterization of a de novo analphoid sSMC derived from 18q22.1→qter in cultured amniocytes. Results: We identified an analphoid sSMC in cultured amniocytes during a prenatal diagnosis performed because of advanced maternal age. GTG-banding revealed an sSMC in all metaphases. FISH experiments with a probe specific for the chromosome 18 centromere, and C-banding revealed neither alphoid sequences nor C-banding-positive satellite DNA thereby suggesting the presence of a neocentromere. To characterize the marker in greater detail, we carried out additional FISH experiments with a set of appropriate BAC clones. The pattern of the FISH signals indicated a symmetrical organization of the marker, the breakpoint likely representing the centromere of an inverted duplicated chromosome that results in tetrasomy of 18q22.1→qter. The karyotype after molecular cytogenetic investigations was interpreted as follows: 47,XY,+inv dup(18)(qter→q22.1::q22.1→neo→qter) Conclusion: Our case is the first report, in the prenatal diagnosis setting, of a de novo analphoid marker chromosome originating from the long arm of chromosome 18, and the second report of a neocentromere formation at 18q22.1.