Supercoiling Theory and Model of Chromosomal Structures in Eukaryotic Cells
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Sequence Divergence Impedes Crossover More Than Noncrossover Events During Mitotic Gap Repair in Yeast
Copyright Ó 2008 by the Genetics Society of America DOI: 10.1534/genetics.108.090233 Sequence Divergence Impedes Crossover More Than Noncrossover Events During Mitotic Gap Repair in Yeast Caroline Welz-Voegele and Sue Jinks-Robertson1 Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina 27710 Manuscript received April 11, 2008 Accepted for publication May 8, 2008 ABSTRACT Homologous recombination between dispersed repeated sequences is important in shaping eukaryotic genome structure, and such ectopic interactions are affected by repeat size and sequence identity. A transformation-based, gap-repair assay was used to examine the effect of 2% sequence divergence on the efficiency of mitotic double-strand break repair templated by chromosomal sequences in yeast. Because the repaired plasmid could either remain autonomous or integrate into the genome, the effect of sequence divergence on the crossover–noncrossover (CO–NCO) outcome was also examined. Finally, proteins important for regulating the CO–NCO outcome and for enforcing identity requirements during recombination were examined by transforming appropriate mutant strains. Results demonstrate that the basic CO–NCO outcome is regulated by the Rad1-Rad10 endonuclease and the Sgs1 and Srs2 helicases, that sequence divergence impedes CO to a much greater extent than NCO events, that an intact mismatch repair system is required for the discriminating identical and nonidentical repair templates, and that the Sgs1 and Srs2 helicases play additional, antirecombination roles when the interacting sequences are not identical. ECOMBINATION is a high-fidelity process that persed throughout the genome. Such ectopic inter- R copies information from one DNA duplex to re- actions are important for shaping genome structure, pair single- or double-strand discontinuities in another with NCO events likely driving the concerted evolution DNA duplex (reviewed by Krogh and Symington of multigene families and COs leading to various types 2004). -
Spatial Chromatin Architecture Alteration By
Sadowski et al. Genome Biology (2019) 20:148 https://doi.org/10.1186/s13059-019-1728-x RESEARCH Open Access Spatial chromatin architecture alteration by structural variations in human genomes at the population scale Michal Sadowski1,2, Agnieszka Kraft1,3, Przemyslaw Szalaj1,4,5, Michal Wlasnowolski1,3, Zhonghui Tang6, Yijun Ruan7* and Dariusz Plewczynski1,3* Abstract Background: The number of reported examples of chromatin architecture alterations involved in the regulation of gene transcription and in disease is increasing. However, no genome-wide testing has been performed to assess the abundance of these events and their importance relative to other factors affecting genome regulation. This is particularly interesting given that a vast majority of genetic variations identified in association studies are located outside coding sequences. This study attempts to address this lack by analyzing the impact on chromatin spatial organization of genetic variants identified in individuals from 26 human populations and in genome- wide association studies. Results: We assess the tendency of structural variants to accumulate in spatially interacting genomic segments and design an algorithm to model chromatin conformational changes caused by structural variations. We show that differential gene transcription is closely linked to the variation in chromatin interaction networks mediated by RNA polymerase II. We also demonstrate that CTCF-mediated interactions are well conserved across populations, but enriched with disease-associated SNPs. Moreover, we find boundaries of topological domains as relatively frequent targets of duplications, which suggest that these duplications can be an important evolutionary mechanism of genome spatial organization. Conclusions: This study assesses the critical impact of genetic variants on the higher-order organization of chromatin folding and provides insight into the mechanisms regulating gene transcription at the population scale, of which local arrangement of chromatin loops seems to be the most significant. -
Epigenetics Bladder Cancer
Published OnlineFirst March 3, 2016; DOI: 10.1158/2159-8290.CD-RW2016-040 RESEARCH WATCH Bladder Cancer Major finding: CDH1 mutations are Approach: Plasmacytoid variant tumors Impact: Plasmacytoid variant tumors specific to, and occur in the majority of, were molecularly characterized using are distinguishable from nonvariant plasmacytoid variant bladder cancers. whole-exome and targeted sequencing. bladder cancers by CDH1 mutations. PLASMACYTOID VARIANT BLADDER CANCERS HARBOR CDH1 MUTATIONS Bladder cancers have a large range of variant mor- was similar to lobular breast carcinoma and diffuse phologies, and tumors with wholly variant histolo- gastric carcinoma, both of which also have frequent gies exhibit worse survival rates. Variant histology CDH1 mutations. Patients with plasmacytoid vari- bladder cancers were not included in The Cancer ant cancer had a poorer survival rate, increased inci- Genome Atlas (TCGA), and, thus, the molecular dence of recurrence, and an increased incidence of events underlying these tumors remain poorly peritoneal spread compared to patients with other understood. Al-Ahmadie, Iyer, Lee, and colleagues types of bladder cancer. To determine if loss of used whole-exome and targeted sequencing to char- E-cadherin contributed to the aggressive phenotype, acterize plasmacytoid bladder cancer, an aggressive histologic CDH1 was deleted by CRISPR/Cas9 in two urothelial carci- variant cancer. Whole-exome sequencing of six plasmacytoid noma cell lines. CDH1 loss resulted in increased migration, variant bladder tumors revealed truncating somatic muta- suggesting that loss of E-cadherin may result in the increased tions in cadherin 1 (CDH1), which encodes E-cadherin, in all invasiveness of plasmacytoid variant tumors. These fi ndings of the tumors, whereas there were no CDH1-truncating muta- indicate that plasmacytoid variant bladder cancers are charac- tions in the 127 bladder cancers in TCGA. -
Functional Analysis of Structural Variation in the 2D and 3D Human Genome
FUNCTIONAL ANALYSIS OF STRUCTURAL VARIATION IN THE 2D AND 3D HUMAN GENOME by Conor Mitchell Liam Nodzak A dissertation submitted to the faculty of The University of North Carolina at Charlotte in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Bioinformatics and Computational Biology Charlotte 2019 Approved by: Dr. Xinghua Mindy Shi Dr. Rebekah Rogers Dr. Jun-tao Guo Dr. Adam Reitzel ii c 2019 Conor Mitchell Liam Nodzak ALL RIGHTS RESERVED iii ABSTRACT CONOR MITCHELL LIAM NODZAK. Functional analysis of structural variation in the 2D and 3D human genome. (Under the direction of DR. XINGHUA MINDY SHI) The human genome consists of over 3 billion nucleotides that have an average distance of 3.4 Angstroms between each base, which equates to over two meters of DNA contained within the 125 µm3 volume diploid cell nuclei. The dense compaction of chromatin by the supercoiling of DNA forms distinct architectural modules called topologically associated domains (TADs), which keep protein-coding genes, noncoding RNAs and epigenetic regulatory elements in close nuclear space. It has recently been shown that these conserved chromatin structures may contribute to tissue-specific gene expression through the encapsulation of genes and cis-regulatory elements, and mutations that affect TADs can lead to developmental disorders and some forms of cancer. At the population-level, genomic structural variation contributes more to cumulative genetic difference than any other class of mutation, yet much remains to be studied as to how structural variation affects TADs. Here, we study the func- tional effects of structural variants (SVs) through the analysis of chromatin topology and gene activity for three trio families sampled from genetically diverse popula- tions from the Human Genome Structural Variation Consortium. -
Methods from Statistical Computing for Genetic Analysis of Complex Traits
Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1373 Methods from Statistical Computing for Genetic Analysis of Complex Traits BEHRANG MAHJANI ACTA UNIVERSITATIS UPSALIENSIS ISSN 1651-6214 ISBN 978-91-554-9574-9 UPPSALA urn:nbn:se:uu:diva-284378 2016 Dissertation presented at Uppsala University to be publicly examined in 2446, Lägerhyddsvägen 2, Uppsala, Tuesday, 7 June 2016 at 13:15 for the degree of Doctor of Philosophy. The examination will be conducted in English. Faculty examiner: Assistant Professor Silvia Delgado Olabarriaga (BioInformatics Laboratory, Clinical Epidemiology, Biostatistics and Bioinformatics Department (KEBB), Academic Medical Centre of the University of Amsterdam (AMC)). Abstract Mahjani, B. 2016. Methods from Statistical Computing for Genetic Analysis of Complex Traits. Digital Comprehensive Summaries of Uppsala Dissertations from the Faculty of Science and Technology 1373. 42 pp. Uppsala: Acta Universitatis Upsaliensis. ISBN 978-91-554-9574-9. The goal of this thesis is to explore, improve and implement some advanced modern computational methods in statistics, focusing on applications in genetics. The thesis has three major directions. First, we study likelihoods for genetics analysis of experimental populations. Here, the maximum likelihood can be viewed as a computational global optimization problem. We introduce a faster optimization algorithm called PruneDIRECT, and explain how it can be parallelized for permutation testing using the Map-Reduce framework. We have implemented PruneDIRECT as an open source R package, and also Software as a Service for cloud infrastructures (QTLaaS). The second part of the thesis focusses on using sparse matrix methods for solving linear mixed models with large correlation matrices. -
Theoretical Population Genetics of Repeated Genes Forming a Multigene Family *
THEORETICAL POPULATION GENETICS OF REPEATED GENES FORMING A MULTIGENE FAMILY * TOMOKO OHTA National Institute of Genetics, Mishima, 411 Japan Manuscript received September 23, 1977 Revised copy received December 19, 1977 ABSTRACT The evolution of repeated genes forming a multigene family in a finite population is studied with special reference to the probability of gene identity, i.e., the identity probability of two gene units chosen from the gene family. This quantity is called clonality and is defined as the sum of squares of the frequencies of gene lineages in the family. The multigene family is under- going continuous unequal somatic crossing over, ordinary interchromosomal crossing over, mutation and random frequency drift. Two measures of clonality are used: clonality within one chromosome and that between two different chromosomes. The equilibrium properties of the means, the variances and the covariance of the two measures of clonality are investigated by using the diffusion equation method under the assumption of constant number of gene units in the multigene family. Some models of natural selection based on clonality are considered. The possible significance of the variance and covari- ance of clonality among the chromosomes on the adaptive differentiation of gene families such as those producing antibodies is discussed. INrecent years, much attention has been paid to the problem of evolution of repeated genes. Although how repeated genes emerged and what role they play in evolution are far from being elucidated, their universal existence in the genome of higher organisms is well demonstrated (see, Proc. Cold Spring Harbor Symp. 1974). HOOD,CAMPBELL and ELGIN (1975) have recently classified repeated genes into three classes: simple-sequence multigene families (highly repeated sequences), multiplicational multigene families (genes for ribosomal RNA, transfer RNA and histone) and informational multigene families (genes for immunoglobulins). -
Intragenic Sex-Chromosomal Crossovers of Xmrk Oncogene Alleles Affect Pigment Pattern Formation and the Severity of Melanoma in Xiphophorus
Copyright 1999 by the Genetics Society of America Intragenic Sex-Chromosomal Crossovers of Xmrk Oncogene Alleles Affect Pigment Pattern Formation and the Severity of Melanoma in Xiphophorus Heidrun Gutbrod and Manfred Schartl Physiological Chemistry I, Biocenter, University of WuÈrzburg, D-97074 WuÈrzburg, Germany Manuscript received July 23, 1998 Accepted for publication October 21, 1998 ABSTRACT The X and Y chromosomes of the platy®sh (Xiphophorus maculatus) contain a region that encodes several important traits, including the determination of sex, pigment pattern formation, and predisposition to develop malignant melanoma. Several sex-chromosomal crossovers were identi®ed in this region. As the melanoma-inducing oncogene Xmrk is the only molecularly identi®ed constituent, its genomic organization on both sex chromosomes was analyzed in detail. Using X and Y allele-speci®c sequence differences a high proportion of the crossovers was found to be intragenic in the oncogene Xmrk, concentrating in the extracellular domain-encoding region. The genetic and molecular data allowed establishment of an order of loci over z0.6 cM. It further revealed a sequence located within several kilobases of the extracellular domain-encoding region of Xmrk that regulates overexpression of the oncogene. N the platy®sh Xiphophorus maculatus, three sex chro- Two pigment pattern loci of X. maculatus also locate to I mosomes coexist. They have been characterized as the SD and P-containing region. The red-yellow pattern X, Y, and W. Over a large geographic range the individ- (RY) locus [this locus has been referred to by other ual populations are polymorphic for these three chro- research groups as XANT (see Morizot et al. -
The Chromosomal Basis of Inheritance Worksheet Answers
The Chromosomal Basis Of Inheritance Worksheet Answers Immanuel crayoning least while microseismic Linoel intervenes disguisedly or obumbrate interspatially. Bifacial and coseismal Chandler know, but Edmond obstetrically inflame her sequencer. Pierce gulls wherein? The inheritance was inherited together as a philadelphia chromosome pair consists of reasons, answer worksheet answer key in. Therefore, mutations can explain failure of six rare outcomes that misery to defy truth common genetic rules. Morgan made changes in humans is called epistasis describes what was a allele comes in tetraploids have such contains one gene inheritance of confusion about chromosomes? This is why alleles on a given chromosome are not always inherited together. Please can an institutional email address. Explain how these data generates genetic evidence leading to the chromosomal basis of inheritance and one another gamete is known as. Polyploids are inherited in experiments with answers you must work answer worksheet. This inheritance pattern of inheritance chromosomal basis of one gene to answer worksheet answer key worksheets are. Law of all the mother or a dominant and other diseases of certain genes are usually develops as violet flowers to assort independently of hla genes lie on a multiple of the chromosomal basis of haploid. Genetic Disorders goes spare the DNA mutations and couples each by them master a disease as people are affected by. In order on nonhomologous chromosome can not display mendelian inheritance? In the case of organ development, and therefore our genes must be located on chromosomes. The numbers of additive alleles in parentheses. DNA and associated proteins. The homozygous recessive parents will be unable to cross over. -
Dissecting Super-Enhancer Hierarchy Based on Chromatin Interactions
ARTICLE DOI: 10.1038/s41467-018-03279-9 OPEN Dissecting super-enhancer hierarchy based on chromatin interactions Jialiang Huang1,2, Kailong Li3, Wenqing Cai2, Xin Liu3, Yuannyu Zhang3, Stuart H. Orkin2,4, Jian Xu3 & Guo-Cheng Yuan 1 Recent studies have highlighted super-enhancers (SEs) as important regulatory elements for gene expression, but their intrinsic properties remain incompletely characterized. Through an 1234567890():,; integrative analysis of Hi-C and ChIP-seq data, here we find that a significant fraction of SEs are hierarchically organized, containing both hub and non-hub enhancers. Hub enhancers share similar histone marks with non-hub enhancers, but are distinctly associated with cohesin and CTCF binding sites and disease-associated genetic variants. Genetic ablation of hub enhancers results in profound defects in gene activation and local chromatin landscape. As such, hub enhancers are the major constituents responsible for SE functional and struc- tural organization. 1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute and Harvard T.H. Chan School of Public Health, Boston, MA 02215, USA. 2 Division of Hematology/Oncology, Boston Childrens Hospital and Department of Pediatric Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. 3 Department of Pediatrics, Childrens Medical Center Research Institute, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 4 Howard Hughes Medical Institute, Boston, MA 02215, USA. These authors contributed equally: Jialiang Huang, Kailong Li. Correspondence and requests for materials should be addressed to J.X. (email: [email protected]) or to G.-C.Y. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:943 | DOI: 10.1038/s41467-018-03279-9 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-03279-9 nhancers are cis-acting DNA sequences that control cell- chromatin organization and gene activation. -
DNA Repair and Recombination
DNA Repair and Recombination Metabolism, radiation, environmental substances… Liuh-yow Chen Molecular Biology of the Cell, Chapter 5 Outline 1. DNA damages and mutations 2. Base Excision Repair (BER), Nucleotide Excision Repair (NER), Mismatch Repair (MMR), etc. 3. Double-strand breaks repair: Nonhomologous End Joining (NHEJ) & Homologous Recombination (HR) 4. HR for meiosis Spontaneous Alterations of DNA Hydrolysis Oxidation Methylation A/G T/C Depurination and Deamination DNA lesions disrupt base pairing UV induces Pyrimidine Dimer UV light triggers a oxidation reaction to generate a covalent linkage between two neighboring pyrimidines Cyclobutane Pyrimidine dimers: TT, CC, CT, TC Pyrimidine dimer disrupts base pairing Damages to Mutations -> Mutations Damages-> Disrupted base pairing -> Repaired Base Excision Repair (BER) • Base Damages, Single Strand Breaks (ROS attacks). Recognition & cut AP site: apurinic/ apyrimidinic Glycosylases , xanthine DNA methylation for gene inactivation Cytosine methylation-- deamination--Thymine C:G>T:G mispair Thymine DNA glycosylase (TDG), methyl-CpG-binding protein 4 (MBD4) Nucleotide Excision Repair (NER) *Bulky lesions, UV, Tobacco smoke… DNA adducts ERCC1/XPF * Recognition ? UV-DDB, RPA, XPD.. ~ 30 nt humans Mismatch Repair (MMR) Mismatches: base-base mismatches, insertion/deletion loops (IDLs) Recognition: MSH2/MSH6, MSH2/MSH3 Strand discrimination:MLH1/PMS2, MLH1/PMS1 Translesion Synthesis (TLS) • TLS is used upon heavy damages (pyrimidine dimers) with DNA PCNA Ubiquitination replication. • Translesion -
Spatial Chromatin Architecture Alteration by Structural
bioRxiv preprint doi: https://doi.org/10.1101/266981; this version posted September 14, 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. Spatial Chromatin Architecture Alteration by Structural Variations in Human Genomes at Population Scale Michal Sadowski1,3, Agnieszka Kraft1,6, Przemyslaw Szalaj1,4,5, Michal Wlasnowolski1,7, Zhonghui Tang2, Yijun Ruan2*, Dariusz Plewczynski1,2,7,* 1Centre of New Technologies, University of Warsaw, Banacha 2c, 02-097 Warsaw, Poland, 2Jackson Laboratory for Genomic Medicine, Farmington, CT, USA, 3Faculty of Physics, University of Warsaw, Pasteura 5, 02-093 Warsaw, Poland, 4Centre for Innovative Research, Medical University of Bialystok, Bialystok, Poland, 5I-BioStat, Hasselt University, Belgium, 6Faculty of Mathematics, Informatics and Mechanics, University of Warsaw, Banacha 2, 02-097 Warsaw, Poland, 7Faculty of Mathematics and Information Science, Warsaw University of Technology, Warsaw, Poland. *Correspondence: [email protected]; [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/266981; this version posted September 14, 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 This genome-wide study is focused on the impact of structural variants identified in individuals from 26 human populations onto three-dimensional structures of their genomes. We assess the tendency of structural variants to accumulate in spatially interacting genomic segments and design a high-resolution computational algorithm to model the 3D conformational changes resulted by structural variations. We show that differential gene transcription is closely linked to variation in chromatin interaction networks mediated by RNA polymerase II. -
Editing DNA Methylation in the Mammalian Genome
Resource Editing DNA Methylation in the Mammalian Genome Graphical Abstract Authors X. Shawn Liu, Hao Wu, Xiong Ji, ..., Daniel Dadon, Richard A. Young, Rudolf Jaenisch Correspondence [email protected] In Brief DNA methylation patterns can be specifically altered in mammalian cells using CRISPR/Cas9-based approaches. Highlights d dCas9-Tet1 and -Dnmt3a enable precise editing of CpG methylation in vitro and in vivo d Targeted demethylation of BDNF promoter IV activates BDNF in neurons d Targeted enhancer demethylation facilitates MyoD-induced muscle cell reprogramming d Targeted de novo methylation of CTCF motifs alters CTCF- mediated gene loops Liu et al., 2016, Cell 167, 233–247 September 22, 2016 ª 2016 Elsevier Inc. http://dx.doi.org/10.1016/j.cell.2016.08.056 Resource Editing DNA Methylation in the Mammalian Genome X. Shawn Liu,1,4 Hao Wu,1,4 Xiong Ji,1,5 Yonatan Stelzer,1 Xuebing Wu,1 Szymon Czauderna,1,3 Jian Shu,1 Daniel Dadon,1,2 Richard A. Young,1,2 and Rudolf Jaenisch1,2,6,* 1Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA 2Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA 3Department of Medical Biotechnology, Faculty of Biochemistry, Biophysics, and Biotechnology, Jagiellonian University, 31-007 Krako´ w, Poland 4Co-first author 5Present address: School of Life Sciences, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China 6Lead Contact *Correspondence: [email protected] http://dx.doi.org/10.1016/j.cell.2016.08.056 SUMMARY resolution during different stages of normal development as well as disease (De Jager et al., 2014; Landau et al., 2014).