Nucleosome Structural Variations in Interphase and Metaphase Chromosomes
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												  H2A Ubiquitylated Mononucleosomes Next-Generation Substrates for Deubiquitylation Enzyme (DUB) AssaysH2A Ubiquitylated Mononucleosomes Next-Generation Substrates for Deubiquitylation Enzyme (DUB) Assays Next-Generation DUB Assay Substrates are here. Get results that matter. • Enabling access to DUB targets that require nucleosome substrates in vitro • Proper substrates for DUB inhibitor development • Unmatched quality control for results you can trust Histone monoubiquitylation (ub1) acts as a critical signaling center that regulates cascades of downstream epigenetic enzymes to modify gene transcription. The physiological substrate for chromatin-targeting DUBs is the nucleosome (Nuc), the basic repeating unit of chromatin (comprised of histone proteins wrapped by DNA). Current high-throughput screening (HTS) DUB assays use unnatural modified or diubiquitin conjugates as substrates, which poorly mimic endogenous targets in vivo. In collaboration with Boston Biochem, EpiCypher is delivering ubiquitylated nucleosome substrates for drug screening and chromatin biology research. FIGURE 1 Ub Ub Schematic representation of mononucleosoms assembled from recombinant human histones Ub expressed in E. coli (two each of histones H2A, H2B, H3 and H4). H2A H2A Approximately 50% of the nucleosomes are monoubiquitylated on histone H2A lysine 118, while the other 50% are monoubiquitylated on both histone H2A lysine 118 and histone H2A lysine 119 (multi-mono- ubiquitylated). Next Generation Deubiquitylation Enzyme (DUB) Assay Substrates EpiCypher has developed recombinant mononucleosomes carrying monoubiquitylation on H2A. These ubiquitylated nucleosomes are generated enzymatically using the RING1B/BMI1 ubiquitin ligase complex. The resulting product is highly pure (>95% of nucleosomes are ubiquitylated) and consists of nucleosomes monoubiquitylated at H2A lysine 118/119 (Figure 1; the physiological target of RING1B/BMI1 in vivo). FIGURE 2 Deubiquitylation Assay Data: Mononucleosomes H2A Ubiquityl, Recombinant Human, Biotinylated (1 μg) were employed in a deubiquitylation (DUB) assay using no enzyme (Lane 1), USP5 (Lane 2) or USP16 (Lane 3) and run on an SDS PAGE gel.
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												  Tricarboxylic Acid Cycle Metabolites As Mediators of DNA Methylation Reprogramming in Bovine Preimplantation EmbryosSupplementary Materials Tricarboxylic Acid Cycle Metabolites as Mediators of DNA Methylation Reprogramming in Bovine Preimplantation Embryos Figure S1. (A) Total number of cells in fast (FBL) and slow (SBL) blastocysts; (B) Fluorescence intensity for 5-methylcytosine and 5-hydroxymethylcytosine of fast and slow blastocysts of cells from Trophoectoderm (TE) or inner cell mass (ICM). Fluorescence intensity for 5-methylcytosine of cells from the ICM or TE in blastocysts cultured with (C) dimethyl-succinate or (D) dimethyl-α- ketoglutarate. Statistical significance is identified by different letters. Figure S2. Experimental design. Table S1. Selected genes related to metabolism and epigenetic mechanisms from RNA-Seq analysis of bovine blastocysts (slow vs. fast). Genes in blue represent upregulation in slow blastocysts, genes in red represent upregulation in fast blastocysts. log2FoldCh Gene p-value p-Adj ange PDHB −1.425 0.000 0.000 MDH1 −1.206 0.000 0.000 APEX1 −1.193 0.000 0.000 OGDHL −3.417 0.000 0.002 PGK1 −0.942 0.000 0.002 GLS2 1.493 0.000 0.002 AICDA 1.171 0.001 0.005 ACO2 0.693 0.002 0.011 CS −0.660 0.002 0.011 SLC25A1 1.181 0.007 0.032 IDH3A −0.728 0.008 0.035 GSS 1.039 0.013 0.053 TET3 0.662 0.026 0.093 GLUD1 −0.450 0.032 0.108 SDHD −0.619 0.049 0.143 FH −0.547 0.054 0.149 OGDH 0.316 0.133 0.287 ACO1 −0.364 0.141 0.297 SDHC −0.335 0.149 0.311 LIG3 0.338 0.165 0.334 SUCLG −0.332 0.174 0.349 SDHA 0.297 0.210 0.396 SUCLA2 −0.324 0.248 0.439 DNMT1 0.266 0.279 0.486 IDH3B1 −0.269 0.296 0.503 SDHB −0.213 0.339 0.544 DNMT3B 0.181 0.386 0.598 APOBEC1 0.629 0.386 0.598 TDG 0.427 0.398 0.611 IDH3G 0.237 0.468 0.675 NEIL2 0.509 0.572 0.720 IDH2 0.298 0.571 0.720 DNMT3L 1.306 0.590 0.722 GLS 0.120 0.706 0.821 XRCC1 0.108 0.793 0.887 TET1 −0.028 0.879 0.919 DNMT3A 0.029 0.893 0.920 MBD4 −0.056 0.885 0.920 PDHX 0.033 0.890 0.920 SMUG1 0.053 0.936 0.954 TET2 −0.002 0.991 0.991 Table S2.
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												  FACT Is Recruited to the +1 Nucleosome of Transcribed Genes and Spreads in a Chd1-Dependent MannerbioRxiv preprint doi: https://doi.org/10.1101/2020.08.20.259960; this version posted August 21, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. FACT is recruited to the +1 nucleosome of transcribed genes and spreads in a Chd1-dependent manner Célia Jeronimo1, Andrew Angel2, Christian Poitras1, Pierre Collin1, Jane Mellor2 and François Robert1,3,4* 1 Institut de recherches cliniques de Montréal, 110 Avenue des Pins Ouest, Montréal, QC H2W 1R7, Canada. 2Department of Biochemistry, University of Oxford, South Parks Road, Oxford, OX1 3QU, UK. 3 Département de Médecine, Faculté de Médecine, Université de Montréal, 2900 Boul. Édouard- Montpetit, Montréal, QC H3T 1J4, Canada. 4 Lead Contact *Correspondence: [email protected] The histone chaperone FACT occupies transcribed regions where it plays prominent roles in maintaining chromatin integrity and preserving epigenetic information. How it is targeted to transcribed regions, however, remains unclear. Proposed models for how FACT finds its way to transcriptionally active chromatin include docking on the RNA polymerase II (RNAPII) C-terminal domain (CTD), recruitment by elongation factors, recognition of modified histone tails and binding partially disassembled nucleosomes. Here, we systematically tested these and other scenarios in Saccharomyces cerevisiae and found that FACT binds transcribed chromatin, not RNAPII. Through a combination of experimental and mathematical modeling evidence, we propose that FACT recognizes the +1 nucleosome, as it is partially unwrapped by the engaging RNAPII, and spreads to downstream nucleosomes aided by the chromatin remodeler Chd1.
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												  Watanabe S, Resch M, Lilyestrom W, Clark NNIH Public Access Author Manuscript Biochim Biophys Acta. Author manuscript; available in PMC 2010 November 1. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Biochim Biophys Acta. 2010 ; 1799(5-6): 480±486. doi:10.1016/j.bbagrm.2010.01.009. Structural characterization of H3K56Q nucleosomes and nucleosomal arrays Shinya Watanabe1,*, Michael Resch2,*, Wayne Lilyestrom2, Nicholas Clark2, Jeffrey C. Hansen2, Craig Peterson1, and Karolin Luger2,3 1 Program in Molecular Medicine, University of Massachusetts Medical School, 373 Plantation St.; Worcester, Massachusetts 01605 2 Department of Biochemistry and Molecular Biology, Colorado State University, Fort Collins, CO 80523-1870 3 Howard Hughes Medical Institute Abstract The posttranslational modification of histones is a key mechanism for the modulation of DNA accessibility. Acetylated lysine 56 in histone H3 is associated with nucleosome assembly during replication and DNA repair, and is thus likely to predominate in regions of chromatin containing nucleosome free regions. Here we show by x-ray crystallography that mutation of H3 lysine 56 to glutamine (to mimic acetylation) or glutamate (to cause a charge reversal) has no detectable effects on the structure of the nucleosome. At the level of higher order chromatin structure, the K to Q substitution has no effect on the folding of model nucleosomal arrays in cis, regardless of the degree of nucleosome density. In contrast, defects in array-array interactions in trans (‘oligomerization’) are selectively observed for mutant H3 lysine 56 arrays that contain nucleosome free regions. Our data suggests that H3K56 acetylation is one of the molecular mechanisms employed to keep chromatin with nucleosome free regions accessible to the DNA replication and repair machinery.
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												  Supplementary MaterialsSupplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine
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												  DNA Condensation and PackagingDNA condensation and packaging October 13, 2009 Professor Wilma K. Olson Viral DNA - chain molecules in confined spaces Viruses come in all shapes and sizes Clockwise: Human immuno deficiency virus (HIV); Aeromonas virus 31, Influenza virus, Orf virus, Herpes simplex virus (HSV), Small pox virus Image from U Wisconsin Microbial World website: http://bioinfo.bact.wisc.edu DNA packaging pathway of T3 and T7 bacteriophages • In vivo pathway - solid arrows Fang et al. (2008) “Visualization of bacteriophage T3 capsids with DNA incompletely packaged in vivo.” J. Mol. Biol. 384, 1384-1399 Cryo EM images of T3 capsids with 10.6 kbp packaged DNA • Labels mark particles representative of different types of capsids • Arrows point to tails on capsids Fang et al. (2008) “Visualization of bacteriophage T3 capsids with DNA incompletely packaged in vivo.”” J. Mol. Biol. 384, 1384-1399 Cryo EM images of representative particles • (b) 10.6 kbp DNA • (c) 22 kbp DNA • (d) bacteriophage T3 Fang et al. (2008) “Visualization of bacteriophage T3 capsids with DNA incompletely packaged in vivo.” J. Mol. Biol. 384, 1384-1399 3D icosohedral reconstructions of cryo-EM-imaged particles Threefold surface views and central cross sections • (b) 10.6 kbp DNA • (c) 22 kbp DNA • (d) bacteriophage T3 Fang et al. (2008) “Visualization of bacteriophage T3 capsids with DNA incompletely packaged in vivo.” J. Mol. Biol. 384, 1384-1399 Top-down views of λ phage DNA toroids captured in cryo-EM micrographs Note the circumferential winding of DNA found in collapsed toroidal particles produced in the presence of multi-valent cations. Hud & Vilfan (2005) “Toroidal DNA condensates: unraveling the fine structure and the role of nucleation in determining size.” Ann.
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												  Genome-Wide DNA Methylation Analysis Reveals Molecular Subtypes of Pancreatic Cancerwww.impactjournals.com/oncotarget/ Oncotarget, 2017, Vol. 8, (No. 17), pp: 28990-29012 Research Paper Genome-wide DNA methylation analysis reveals molecular subtypes of pancreatic cancer Nitish Kumar Mishra1 and Chittibabu Guda1,2,3,4 1Department of Genetics, Cell Biology and Anatomy, University of Nebraska Medical Center, Omaha, NE, 68198, USA 2Bioinformatics and Systems Biology Core, University of Nebraska Medical Center, Omaha, NE, 68198, USA 3Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68198, USA 4Fred and Pamela Buffet Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68198, USA Correspondence to: Chittibabu Guda, email: [email protected] Keywords: TCGA, pancreatic cancer, differential methylation, integrative analysis, molecular subtypes Received: October 20, 2016 Accepted: February 12, 2017 Published: March 07, 2017 Copyright: Mishra et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Pancreatic cancer (PC) is the fourth leading cause of cancer deaths in the United States with a five-year patient survival rate of only 6%. Early detection and treatment of this disease is hampered due to lack of reliable diagnostic and prognostic markers. Recent studies have shown that dynamic changes in the global DNA methylation and gene expression patterns play key roles in the PC development; hence, provide valuable insights for better understanding the initiation and progression of PC. In the current study, we used DNA methylation, gene expression, copy number, mutational and clinical data from pancreatic patients.
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												  Investigating the Epigenetic Mechanisms of Trophoblast Giant CellsBiology ︱ Assistant Professor Koji Hayakawa NUCLEOSOME STRUCTURE OF TROPHOBLAST GIANT CELL (TGC) Diploid TSC Polyploid TGC H2A H2B H2AX/ Investigating the H2AZ epigenetic mechanisms Entry into DNA Endocycle H3 H4 H3.3 of trophoblast giant cells TGCs possess a loose chromatin structure owing to alterations in the histone composition of the nucleosomes, which involves the replacement of canonical histones with histone variants such as H2AX, H2AZ, and H3.3 during differentiation. Trophoblast giant cells (TGCs) ucleosome is a large molecule in the placenta of rodents, are a unique days, and that certain histone variants Many polyploid cells identified in plants are found in the placental in the cell which is primarily cell type that replicate their DNA until were associated with differentiated walls of rodents and play a Nmade up of DNA and proteins. the cell contains thousands of copies, cells. Overall, there was much less and animals appear to have a secretory role in maintaining pregnancy. The major protein in nucleosome is unlike most cells which normally contain variation in TGCs compared to the In contrast to most cell types called a histone, around which DNA two sets of chromosomes (diploid cells). undifferentiated, diploid cells. They or nutritive function. which contain two copies of wraps. These proteins are classified into The reasons for this condition are not found the histone profile to be very from undifferentiated cells showed distinct concentrations of salt buffer to disrupt each chromosome (diploid), canonical histones and non-canonical clear. However, it has been suggested similar in differentiated TSCs at day six bands when digested, demonstrating that DNA-protein bonds.
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												  Condensed DNA: Condensing the ConceptsProgress in Biophysics and Molecular Biology 105 (2011) 208e222 Contents lists available at ScienceDirect Progress in Biophysics and Molecular Biology journal homepage: www.elsevier.com/locate/pbiomolbio Review Condensed DNA: Condensing the concepts Vladimir B. Teif a,b,*, Klemen Bohinc c,d a BioQuant and German Cancer Research Center, Im Neuenheimer Feld 267, 69120 Heidelberg, Germany b Institute of Bioorganic Chemistry, Belarus National Academy of Sciences, Kuprevich 5/2, 220141, Minsk, Belarus c Faculty of Health Sciences, Zdravstvena pot 5, 1000 Ljubljana, Slovenia d Faculty of Electrical Engineering, University of Ljubljana, Trzaska 25, 1000 Ljubljana, Slovenia article info abstract Article history: DNA is stored in vivo in a highly compact, so-called condensed phase, where gene regulatory processes Available online 16 July 2010 are governed by the intricate interplay between different states of DNA compaction. These systems often have surprising properties, which one would not predict from classical concepts of dilute solutions. The Keywords: mechanistic details of DNA packing are essential for its functioning, as revealed by the recent devel- DNA condensation opments coming from biochemistry, electrostatics, statistical mechanics, and molecular and cell biology. Ligand binding Different aspects of condensed DNA behavior are linked to each other, but the links are often hidden in Counterion correlations the bulk of experimental and theoretical details. Here we try to condense some of these concepts and Macromolecular crowding fi Chromatin provide interconnections between the different elds. After a brief description of main experimental Gene regulation features of DNA condensation inside viruses, bacteria, eukaryotes and the test tube, main theoretical approaches for the description of these systems are presented.
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												  Nucleosome Loss Leads to Global Transcriptional Up-Regulation and Genomic Instability During Yeast AgingDownloaded from genesdev.cshlp.org on September 25, 2021 - Published by Cold Spring Harbor Laboratory Press Nucleosome loss leads to global transcriptional up-regulation and genomic instability during yeast aging Zheng Hu,1,6 Kaifu Chen,2,3,6 Zheng Xia,2,3 Myrriah Chavez,1,4 Sangita Pal,1,5 Ja-Hwan Seol,1 Chin-Chuan Chen,1 Wei Li,2,7,8 and Jessica K. Tyler1,7,8 1Department of Biochemistry and Molecular Biology, University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA; 2Dan L. Duncan Cancer Center, 3Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas 77030, USA; 4Molecular Biology Graduate Program, University of Colorado School of Medicine, Denver, Colorado 80010, USA; 5Genes and Development Graduate Program, The University of Texas Graduate School of Biomedical Sciences, Houston, Texas 77030, USA All eukaryotic cells divide a finite number of times, although the mechanistic basis of this replicative aging remains unclear. Replicative aging is accompanied by a reduction in histone protein levels, and this is a cause of aging in budding yeast. Here we show that nucleosome occupancy decreased by 50% across the whole genome during replicative aging using spike-in controlled micrococcal nuclease digestion followed by sequencing. Furthermore, nucleosomes became less well positioned or moved to sequences predicted to better accommodate histone octamers. The loss of histones during aging led to transcriptional induction of all yeast genes. Genes that are normally repressed by promoter nucleosomes were most induced, accompanied by preferential nucleosome loss from their promoters. We also found elevated levels of DNA strand breaks, mitochondrial DNA transfer to the nuclear genome, large-scale chromosomal alterations, translocations, and retrotransposition during aging.
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												  Identification of Key Genes Related to the Mechanism and Prognosis of Lung Squamous Cell Carcinoma Using Bioinformatics AnalysisIdentification of key genes related to the mechanism and prognosis of lung squamous cell carcinoma using bioinformatics analysis Miaomiao Gaoa,#, Weikaixin Kongb,#, Zhuo Huangb,* and Zhengwei Xiea,* #These authors contributed equally to this work aDepartment of Pharmacology and Department of Biomedical Informatics, School of Basic Medical Sciences, Peking University Health Science Center, 38 Xueyuan Lu, Haidian district, Beijing 100191, China bDepartment of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University Health Science Center, 38 Xueyuan Lu, Haidian district, Beijing 100191, China * To whom correspondence should be addressed. ZhengweiXie Tel: 86-10-82802798; Fax: 86-10-82802798; Email: [email protected]. Zhuo Huang E-mail: [email protected] Abstract Objectives Lung squamous cell carcinoma (LUSC) often diagnosed as advanced with poor prognosis. The mechanisms of its pathogenesis and prognosis require urgent elucidation. This study was performed to screen potential biomarkers related to the occurrence, development and prognosis of LUSC to reveal unknown physiological and pathological processes. Materials and Methods Using bioinformatics analysis, the lung squamous cell carcinoma microarray datasets from the GEO and TCGA databases were analyzed to identify differentially expressed genes (DEGs). Furthermore, PPI and WGCNA network analysis were integrated to identify the key genes closely related to the process of LUSC development. In addition, survival analysis was performed to achieve a prognostic model that accomplished a high level of prediction accuracy. Results and Conclusion Eighty-five up-regulated and 39 down-regulated genes were identified, on which functional and pathway enrichment analysis was conducted. GO analysis demonstrated that up-regulated genes were principally enriched in epidermal development and DNA unwinding in DNA replication.
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												  A Novel Histone H4 Variant Regulates Rdna Transcription in Breast CancerbioRxiv preprint doi: https://doi.org/10.1101/325811; this version posted May 18, 2018. 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. A novel histone H4 variant regulates rDNA transcription in breast cancer 1# 1# 1 1 Mengping Long , Xulun Sun , Wenjin Shi , Yanru An , Tsz Chui Sophia Leung1, 2 3 2 Dongbo Ding1, Manjinder S. Cheema , Nicol MacPherson , Chris Nelson , Juan 2 1 1 Ausio , Yan Yan , and Toyotaka Ishibashi * 1Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, NT, Hong Kong, HKSAR, China 2 Department of Biochemistry and Microbiology, University of Victoria, Victoria BC, Canada 3 Department of Medical Oncology BC Cancer, Vancouver Island Centre, Victoria, BC, Canada # These authors contributed equally to this work *correspondence: [email protected] Key Words Histone variant, histone H4, rDNA transcription, breast cancer, nucleophosmin bioRxiv preprint doi: https://doi.org/10.1101/325811; this version posted May 18, 2018. 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 Histone variants, present in various cell types and tissues, are known to exhibit different functions. For example, histone H3.3 and H2A.Z are both involved in gene expression regulation, whereas H2A.X is a specific variant that responds to DNA double-strand breaks. In this study, we characterized H4G, a novel hominidae-specific histone H4 variant. H4G expression was found in a variety of cell lines and was particularly overexpressed in the tissues of breast cancer patients.