Histone Methylation Regulation in Neurodegenerative Disorders
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Recombination and the Evolution of Mutational Robustness
ARTICLE IN PRESS Journal of Theoretical Biology 241 (2006) 707–715 www.elsevier.com/locate/yjtbi Recombination and the evolution of mutational robustness Andy Gardnera,b,c,Ã, Alex T. Kalinkaa aInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3JT, UK bDepartment of Mathematics & Statistics, Queen’s University, Kingston, Ont., Canada K7L 3N6 cDepartment of Biology, Queen’s University, Kingston, Ont., Canada K7L 3N6 Received 25 July 2005; received in revised form 8 December 2005; accepted 5 January 2006 Available online 20 February 2006 Abstract Mutational robustness is the degree to which a phenotype, such as fitness, is resistant to mutational perturbations. Since most of these perturbations will tend to reduce fitness, robustness provides an immediate benefit for the mutated individual. However, robust systems decay due to the accumulation of deleterious mutations that would otherwise have been cleared by selection. This decay has received very little theoretical attention. At equilibrium, a population or asexual lineage is expected to have a mutation load that is invariant with respect to the selection coefficient of deleterious alleles, so the benefit of robustness (at the level of the population or asexual lineage) is temporary. However, previous work has shown that robustness can be favoured when robustness loci segregate independently of the mutating loci they act upon. We examine a simple two-locus model that allows for intermediate rates of recombination and inbreeding to show that increasing the effective recombination rate allows for the evolution of greater mutational robustness. r 2006 Elsevier Ltd. All rights reserved. Keywords: Canalization; Epistasis; Linkage disequilibrium; Multilocus methodology; Mutation–selection balance 1. -
Antigen-Receptor Degeneracy and Immunological Paradigms Irun R
Molecular Immunology 40 (2004) 993–996 Antigen-receptor degeneracy and immunological paradigms Irun R. Cohen a,∗, Uri Hershberg b, Sorin Solomon c a The Department of Immunology, The Weizmann Institute of Science, Rehovot, 76100 Israel b Interdisciplinary Center for Neuronal Computation, The Hebrew University of Jerusalem, Jerusalem, Israel c The Racah Institute of Physics, The Hebrew University of Jerusalem, Jerusalem, Israel Abstract This paper discusses some consequences of the discovery that antigen receptors are degenerate: Immune specificity, in contrast to the tenets of the clonal selection paradigm, must be generated by the immune response down-stream of initial antigen recognition; and specificity is a property of a collective of cells and not of single clones. © 2003 Elsevier Ltd. All rights reserved. Keywords: T cells; T-cell receptor; Inflammation; Specificity; Degeneracy; Clonal selection; Cognitive paradigm 1. Degeneracy problems characterized by extreme poly-clonality; in fact, most nat- ural T-cell responses are oligo-clonal (Douek et al., 2003). Degeneracy, in the present discourse, refers to the capac- So, there must be a mechanism or mechanisms that operate ity of any single antigen receptor to bind and respond to to restrict poly-clonality in wild-type adaptive immune sys- (recognize) many different ligands. The Oxford English Dic- tems. The inherent potential for extreme poly-clonality, in tionary (Second Edition, 1989) defines the primary meaning practice, may be tempered by clonal competition. Compe- of degeneracy as: tition among clones for access, energy or space will most likely reward the fast and the avid. Since the best clones Having lost the qualities proper to the race or kind; having should win, clonal competition does not threaten the logic declined from a higher to a lower type; hence, declined of the clonal selection theory (CST) of adaptive immunity. -
Microrna Function: Multiple Mechanisms for a Tiny RNA?
Downloaded from rnajournal.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press REVIEW MicroRNA function: Multiple mechanisms for a tiny RNA? RAMESH S. PILLAI Friedrich Miescher Institute for Biomedical Research, 4002 Basel, Switzerland ABSTRACT MicroRNAs are sequence-specific regulators of post-transcriptional gene expression in many eukaryotes. They are believed to control the expression of thousands of target mRNAs, with each mRNA believed to be targeted by multiple microRNAs. Recent studies have uncovered various mechanisms by which microRNAs down-regulate their target mRNAs and have linked a well- known subcellular structure, the cytoplasmic processing bodies (PBs) to the microRNA pathway. The finding that microRNAs are misexpressed in cancers has reinforced the idea that their regulatory roles are very important. Keywords: microRNAs; miRNPs; translational repression; P-bodies; Argonaute INTRODUCTION that the forced overexpression of miRNAs can lead to the development of tumors (He et al. 2005). MicroRNAs (miRNAs) have come a long way from being Another pathway that uses small RNAs as sequence-spe- an oddity of worms when they were first discovered over 10 cific regulators is the RNA interference (RNAi) pathway, years ago (Lee et al. 1993) to be recognized now as novel which is an evolutionarily conserved response to the pres- agents exercising post-transcriptional control over most ence of double-stranded RNA (dsRNA) in the cell (Meister eukaryotic genomes. They are a family of 21–25-nucleotides and Tuschl 2004; Filipowicz 2005). The dsRNAs are cleaved (nt)-long RNAs expressed in a wide variety of organisms into 20-base pair (bp) duplexes of small-interfering RNAs ranging from plants to worms and humans. -
KDM5B Promotes Drug Resistance by Regulating Melanoma-Propagating Cell Subpopulations Xiaoni Liu1,2, Shang-Min Zhang1, Meaghan K
Published OnlineFirst December 6, 2018; DOI: 10.1158/1535-7163.MCT-18-0395 Cancer Biology and Translational Studies Molecular Cancer Therapeutics KDM5B Promotes Drug Resistance by Regulating Melanoma-Propagating Cell Subpopulations Xiaoni Liu1,2, Shang-Min Zhang1, Meaghan K. McGeary1,2, Irina Krykbaeva1,2, Ling Lai3, Daniel J. Jansen4, Stephen C. Kales4, Anton Simeonov4, Matthew D. Hall4, Daniel P. Kelly3, Marcus W. Bosenberg1,2,5, and Qin Yan1 Abstract Tumor heterogeneity is a major challenge for cancer elevated KDM5B expression, melanoma cells shift toward a À treatment, especially due to the presence of various sub- more drug-tolerant, CD34 state upon exposure to BRAF populations with stem cell or progenitor cell properties. inhibitor or combined BRAF inhibitor and MEK inhibitor þ À þ In mouse melanomas, both CD34 p75 (CD34 )and treatment. KDM5B loss or inhibition shifts melanoma cells À À À þ CD34 p75 (CD34 ) tumor subpopulations were charac- to the more BRAF inhibitor–sensitive CD34 state. These terized as melanoma-propagating cells (MPC) that exhibit results support that KDM5B is a critical epigenetic regulator some of those key features. However, these two subpopula- that governs the transition of key MPC subpopulations tions differ from each other in tumorigenic potential, with distinct drug sensitivity. This study also emphasizes ability to recapitulate heterogeneity, and chemoresistance. the importance of continuing to advance our understand- þ À In this study, we demonstrate that CD34 and CD34 ing of intratumor heterogeneity and ultimately develop V600E subpopulations carrying the BRAF mutation confer novel therapeutics by altering the heterogeneous character- differential sensitivity to targeted BRAF inhibition. -
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Downloaded from genome.cshlp.org on September 29, 2021 - Published by Cold Spring Harbor Laboratory Press Research Dioxin receptor and SLUG transcription factors regulate the insulator activity of B1 SINE retrotransposons via an RNA polymerase switch Angel Carlos Roma´n,1 Francisco J. Gonza´lez-Rico,1 Eduardo Molto´,2,3 Henar Hernando,4 Ana Neto,5 Cristina Vicente-Garcia,2,3 Esteban Ballestar,4 Jose´ L. Go´mez-Skarmeta,5 Jana Vavrova-Anderson,6 Robert J. White,6,7 Lluı´s Montoliu,2,3 and Pedro M. Ferna´ndez-Salguero1,8 1Departamento de Bioquı´mica y Biologı´a Molecular, Facultad de Ciencias, Universidad de Extremadura, 06071 Badajoz, Spain; 2Centro Nacional de Biotecnologı´a (CNB), Consejo Superior de Investigaciones Cientı´ficas (CSIC), Department of Molecular and Cellular Biology, Campus de Cantoblanco, C/Darwin 3, 28049 Madrid, Spain; 3Centro de Investigacio´n Biome´dica en Red de Enfermedades Raras (CIBERER), ISCIII, Madrid, Spain; 4Chromatin and Disease Group, Cancer Epigenetics and Biology Programme, Bellvitge Biomedical Research Institute (IDIBELL), Barcelona 08907, Spain; 5Centro Andaluz de Biologı´a del Desarrollo, CSIC-Universidad Pablo de Olavide, 41013 Sevilla, Spain; 6College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom; 7Beatson Institute for Cancer Research, Glasgow, G61 1BD, United Kingdom Complex genomes utilize insulators and boundary elements to help define spatial and temporal gene expression patterns. We report that a genome-wide B1 SINE (Short Interspersed Nuclear Element) retrotransposon (B1-X35S) has potent in- trinsic insulator activity in cultured cells and live animals. This insulation is mediated by binding of the transcription factors dioxin receptor (AHR) and SLUG (SNAI2) to consensus elements present in the SINE. -
Small Molecule Inhibitors of KDM5 Histone Demethylases Increase the Radiosensitivity of Breast Cancer Cells Overexpressing JARID1B
molecules Article Small Molecule Inhibitors of KDM5 Histone Demethylases Increase the Radiosensitivity of Breast Cancer Cells Overexpressing JARID1B Simone Pippa 1, Cecilia Mannironi 2, Valerio Licursi 1,3, Luca Bombardi 1, Gianni Colotti 2, Enrico Cundari 2, Adriano Mollica 4, Antonio Coluccia 5 , Valentina Naccarato 5, Giuseppe La Regina 5 , Romano Silvestri 5 and Rodolfo Negri 1,2,* 1 Department of Biology and Biotechnology “C. Darwin”, Sapienza University of Rome, 00185 Rome, Italy; [email protected] (S.P.); [email protected] (V.L.); [email protected] (L.B.) 2 Institute of Molecular Biology and Pathology, Italian National Research Council, 00185 Rome, Italy; [email protected] (C.M.); [email protected] (G.C.); [email protected] (E.C.) 3 Institute for Systems Analysis and Computer Science “A. Ruberti”, Italian National Research Council, 00185 Rome, Italy 4 Department of Pharmacy, University “G. d’ Annunzio” of Chieti, Via dei Vestini 31, 66100 Chieti, Italy; [email protected] 5 Department of Drug Chemistry and Technologies, Sapienza University of Rome, Laboratory affiliated to Istituto Pasteur Italia Cenci Bolognetti Foundation, Sapienza University of Rome, 00185 Rome, Italy; [email protected] (A.C.); [email protected] (V.N.); [email protected] (G.L.R.); [email protected] (R.S.) * Correspondence: [email protected]; Tel.: +39-06-4991-7790 Academic Editors: Sergio Valente and Diego Muñoz-Torrero Received: 12 October 2018; Accepted: 1 May 2019; Published: 4 May 2019 Abstract: Background: KDM5 enzymes are H3K4 specific histone demethylases involved in transcriptional regulation and DNA repair. These proteins are overexpressed in different kinds of cancer, including breast, prostate and bladder carcinomas, with positive effects on cancer proliferation and chemoresistance. -
Subcloning, Expression, and Enzymatic Study of PRMT5
Georgia State University ScholarWorks @ Georgia State University Biology Theses Department of Biology Summer 7-12-2010 Subcloning, Expression, and Enzymatic Study of PRMT5 Ran Guo Georgia State University Follow this and additional works at: https://scholarworks.gsu.edu/biology_theses Part of the Biology Commons Recommended Citation Guo, Ran, "Subcloning, Expression, and Enzymatic Study of PRMT5." Thesis, Georgia State University, 2010. https://scholarworks.gsu.edu/biology_theses/26 This Thesis is brought to you for free and open access by the Department of Biology at ScholarWorks @ Georgia State University. It has been accepted for inclusion in Biology Theses by an authorized administrator of ScholarWorks @ Georgia State University. For more information, please contact [email protected]. SUBCLONING, EXPRESSION, AND ENZYMATIC STUDY OF PRMT5 by RAN GUO Under the Direction of Yujun George Zheng ABSTRACT Protein arginine methyltransferases (PRMTs) mediate the transfer of methyl groups to arginine residues in histone and non-histone proteins. PRMT5 is an important member of PRMTs which symmetrically dimethylates arginine 8 in histone H3 (H3R8) and arginine 3 in histone H4 (H4R3). PRMT5 was reported to inhibit some tumor suppressors in leukemia and lymphoma cells and regulate p53 gene, through affecting the promoter of p53. Through methylation of H4R3, PRMT5 can recruit DNA-methyltransferase 3A (DNMT3A) which regulates gene transcription. All the above suggest that PRMT5 has an important function of suppressing cell apoptosis and is a potential anticancer target. Currently, the enzymatic activities of PRMT5 are not clearly understood. In our study, we improved the protein expression methodology and greatly enhanced the yield and quality of the recombinant PRMT5. -
Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin
cells Review Modes of Interaction of KMT2 Histone H3 Lysine 4 Methyltransferase/COMPASS Complexes with Chromatin Agnieszka Bochy ´nska,Juliane Lüscher-Firzlaff and Bernhard Lüscher * ID Institute of Biochemistry and Molecular Biology, Medical School, RWTH Aachen University, Pauwelsstrasse 30, 52057 Aachen, Germany; [email protected] (A.B.); jluescher-fi[email protected] (J.L.-F.) * Correspondence: [email protected]; Tel.: +49-241-8088850; Fax: +49-241-8082427 Received: 18 January 2018; Accepted: 27 February 2018; Published: 2 March 2018 Abstract: Regulation of gene expression is achieved by sequence-specific transcriptional regulators, which convey the information that is contained in the sequence of DNA into RNA polymerase activity. This is achieved by the recruitment of transcriptional co-factors. One of the consequences of co-factor recruitment is the control of specific properties of nucleosomes, the basic units of chromatin, and their protein components, the core histones. The main principles are to regulate the position and the characteristics of nucleosomes. The latter includes modulating the composition of core histones and their variants that are integrated into nucleosomes, and the post-translational modification of these histones referred to as histone marks. One of these marks is the methylation of lysine 4 of the core histone H3 (H3K4). While mono-methylation of H3K4 (H3K4me1) is located preferentially at active enhancers, tri-methylation (H3K4me3) is a mark found at open and potentially active promoters. Thus, H3K4 methylation is typically associated with gene transcription. The class 2 lysine methyltransferases (KMTs) are the main enzymes that methylate H3K4. KMT2 enzymes function in complexes that contain a necessary core complex composed of WDR5, RBBP5, ASH2L, and DPY30, the so-called WRAD complex. -
Inferring Causal Relationships Among Different Histone Modifications and Gene Expression
Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Inferring Causal Relationships among Different Histone Modifications and Gene Expression Hong Yu*, Shanshan Zhu*, Bing Zhou*, Huiling Xue and Jing-Dong J. Han Chinese Academy of Sciences Key Laboratory of Molecular Developmental Biology, Center for Molecular Systems Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Datun Road, Beijing, 100101, China * These authors contributed equally to this work. Correspondence should be addressed to J.-D.J.H ([email protected]). Running title: histone modification and gene expression network Keywords: histone modification, gene expression, Bayesian network, causal relationship, epigenetics 1 Downloaded from genome.cshlp.org on September 28, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Histone modifications are major epigenetic factors regulating gene expression. They play important roles in maintaining stem cell pluripotency and in cancer pathogenesis. Different modifications may combine to form complex ‘histone codes’. Recent high throughput technologies, such as ‘ChIP-chip’ and ‘ChIP-seq’, have generated high resolution maps for many histone modifications on the human genome. Here we use these maps to build a Bayesian network to infer causal and combinatorial relationships among histone modifications and gene expression. A pilot network derived by the same method among polycomb group (PcG) genes and H3K27 trimethylation is accurately supported by current literature. Our unbiased network model among histone modifications is also well supported by cross validation results. It not only confirmed already known relationships, such as those of H3K27me3 to gene silencing, H3K4me3 to gene activation, and the effect of bivalent modification of both H3K4me3 and H3K27me3, but also identified many other relationships that may predict new epigenetic interactions important in epigenetic gene regulation. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Combinatorial Genetic Control of Rpd3s Through Histone H3K4 and H3K36 Methylation
bioRxiv preprint doi: https://doi.org/10.1101/376046; this version posted July 24, 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. 1 Combinatorial Genetic Control of Rpd3S through histone H3K4 and H3K36 Methylation 2 in Budding Yeast 3 4 Kwan Yin Lee*, Mathieu Ranger*, and Marc D. Meneghini* 5 *Department of Molecular Genetics, University of Toronto, ON, M5S 1A8, Canada 6 Running title: Rpd3S control by H3K4me and H3K36me 7 Keywords: Rpd3S; histone methylation; SET1; JHD2; RPH1; SET2 8 Corresponding author mailing addresses: 9 Marc Meneghini 10 Dept. of Molecular Genetics University of Toronto 11 MaRS2 1532 12 661 University Avenue 13 Toronto, ON M5G 1M1 14 Office: 416-978-7578 15 Fax: 416-978-6885 16 email: [email protected] 17 18 19 1 bioRxiv preprint doi: https://doi.org/10.1101/376046; this version posted July 24, 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. 1 Abstract 2 Much of euchromatin regulation occurs through reversible methylation of histone H3 3 lysine-4 and lysine-36 (H3K4me and H3K36me). Using the budding yeast Saccharomyces 4 cerevisiae, we previously found that levels of H3K4me modulated temperature sensitive alleles 5 of the transcriptional elongation complex Spt6-Spn1 through an unknown H3K4me effector 6 pathway. Here we identify the Rpd3S histone deacetylase complex as the H3K4me effector 7 underlying these Spt6-Spn1 genetic interactions. -
4-6 Weeks Old Female C57BL/6 Mice Obtained from Jackson Labs Were Used for Cell Isolation
Methods Mice: 4-6 weeks old female C57BL/6 mice obtained from Jackson labs were used for cell isolation. Female Foxp3-IRES-GFP reporter mice (1), backcrossed to B6/C57 background for 10 generations, were used for the isolation of naïve CD4 and naïve CD8 cells for the RNAseq experiments. The mice were housed in pathogen-free animal facility in the La Jolla Institute for Allergy and Immunology and were used according to protocols approved by the Institutional Animal Care and use Committee. Preparation of cells: Subsets of thymocytes were isolated by cell sorting as previously described (2), after cell surface staining using CD4 (GK1.5), CD8 (53-6.7), CD3ε (145- 2C11), CD24 (M1/69) (all from Biolegend). DP cells: CD4+CD8 int/hi; CD4 SP cells: CD4CD3 hi, CD24 int/lo; CD8 SP cells: CD8 int/hi CD4 CD3 hi, CD24 int/lo (Fig S2). Peripheral subsets were isolated after pooling spleen and lymph nodes. T cells were enriched by negative isolation using Dynabeads (Dynabeads untouched mouse T cells, 11413D, Invitrogen). After surface staining for CD4 (GK1.5), CD8 (53-6.7), CD62L (MEL-14), CD25 (PC61) and CD44 (IM7), naïve CD4+CD62L hiCD25-CD44lo and naïve CD8+CD62L hiCD25-CD44lo were obtained by sorting (BD FACS Aria). Additionally, for the RNAseq experiments, CD4 and CD8 naïve cells were isolated by sorting T cells from the Foxp3- IRES-GFP mice: CD4+CD62LhiCD25–CD44lo GFP(FOXP3)– and CD8+CD62LhiCD25– CD44lo GFP(FOXP3)– (antibodies were from Biolegend). In some cases, naïve CD4 cells were cultured in vitro under Th1 or Th2 polarizing conditions (3, 4).