Rare Genetic Variants in the Gene Encoding Histone Lysine
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Fast-Evolving Gene Is Key Player in Brain Development
Spectrum | Autism Research News https://www.spectrumnews.org NEWS Fast-evolving gene is key player in brain development BY DEBORAH RUDACILLE 14 OCTOBER 2011 Knocked down: Zebrafish lacking AUTS2 (right), a gene linked to autism, have fewer neurons in the mid-brain region compared with controls (left). A gene that changed rapidly after the human genome diverged from that of Neanderthals plays a critical role in brain development, according to unpublished results presented Thursday at the International Congress of Human Genetics in Montreal, Canada. Neanderthals are the closest evolutionary relatives of present-day humans. In 2001, researchers first identified mutations in the gene, autism susceptibility candidate 2 or AUTS2, which is located on chromosome 7, in a pair of identical twins with autism1. Since then, AUTS2 has also been linked to attention deficit hyperactivity disorder, epilepsy and mental retardation. A mouse study last year reported that AUTS2 is expressed at high levels in developing neurons of certain brain regions, notably the frontal cortex and cerebellum2. Last year, a study published in Science pinpointed the gene as containing a genomic sequence that differentiated humans from Neanderthals early in human history3. 1 / 3 Spectrum | Autism Research News https://www.spectrumnews.org Still, the function of AUTS2 has remained elusive until now. Researchers at the University of California, San Francisco presented the first functional study of the gene, which they identified while searching for genes important in development. “We were looking for regions in the genome that have a lot of evolutionary conservation, which usually indicates an important developmental gene that needs tight regulation,” says lead investigator Nadav Ahituv, assistant professor of bioengineering and therapeutic sciences at the University of California, San Francisco. -
Interplay Between Epigenetics and Metabolism in Oncogenesis: Mechanisms and Therapeutic Approaches
OPEN Oncogene (2017) 36, 3359–3374 www.nature.com/onc REVIEW Interplay between epigenetics and metabolism in oncogenesis: mechanisms and therapeutic approaches CC Wong1, Y Qian2,3 and J Yu1 Epigenetic and metabolic alterations in cancer cells are highly intertwined. Oncogene-driven metabolic rewiring modifies the epigenetic landscape via modulating the activities of DNA and histone modification enzymes at the metabolite level. Conversely, epigenetic mechanisms regulate the expression of metabolic genes, thereby altering the metabolome. Epigenetic-metabolomic interplay has a critical role in tumourigenesis by coordinately sustaining cell proliferation, metastasis and pluripotency. Understanding the link between epigenetics and metabolism could unravel novel molecular targets, whose intervention may lead to improvements in cancer treatment. In this review, we summarized the recent discoveries linking epigenetics and metabolism and their underlying roles in tumorigenesis; and highlighted the promising molecular targets, with an update on the development of small molecule or biologic inhibitors against these abnormalities in cancer. Oncogene (2017) 36, 3359–3374; doi:10.1038/onc.2016.485; published online 16 January 2017 INTRODUCTION metabolic genes have also been identified as driver genes It has been appreciated since the early days of cancer research mutated in some cancers, such as isocitrate dehydrogenase 1 16 17 that the metabolic profiles of tumor cells differ significantly from and 2 (IDH1/2) in gliomas and acute myeloid leukemia (AML), 18 normal cells. Cancer cells have high metabolic demands and they succinate dehydrogenase (SDH) in paragangliomas and fuma- utilize nutrients with an altered metabolic program to support rate hydratase (FH) in hereditary leiomyomatosis and renal cell 19 their high proliferative rates and adapt to the hostile tumor cancer (HLRCC). -
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. -
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. -
A Long Noncoding RNA Maintains Active Chromatin to Coordinate Homeotic Gene Expression
LETTER doi:10.1038/nature09819 A long noncoding RNA maintains active chromatin to coordinate homeotic gene expression Kevin C. Wang1,2, Yul W. Yang1*, Bo Liu3*, Amartya Sanyal4, Ryan Corces-Zimmerman1, Yong Chen5, Bryan R. Lajoie4, Angeline Protacio1, Ryan A. Flynn1, Rajnish A. Gupta1, Joanna Wysocka6, Ming Lei5, Job Dekker4, Jill A. Helms3 & Howard Y. Chang1 The genome is extensively transcribed into long intergenic non- we suggest the name HOTTIP for ‘HOXA transcript at the distal tip’, coding RNAs (lincRNAs), many of which are implicated in gene exhibits bivalent H3K4me3 and H3K27me3, a histone modification silencing1,2. Potential roles of lincRNAs in gene activation are pattern associated with poised regulatory sequences16. Comparison much less understood3–5. Development and homeostasis require with RNA polymerase II occupancy and RNA expression showed that coordinate regulation of neighbouring genes through a process the bivalent H3K4me3 and H3K27me3 modifications on HOTTIP gene termed locus control6. Some locus control elements and enhancers do not require HOTTIP transcription, but transcription of HOTTIP is transcribe lincRNAs7–10, hinting at possible roles in long-range associated with increased H3K4me3 and decreased H3K27me3 (Fig. 1a, control. In vertebrates, 39 Hox genes, encoding homeodomain left). Chromatin immunoprecipitation (ChIP) analysis confirmed that transcription factors critical for positional identity, are clustered the HOTTIP gene is occupied by both polycomb repressive complex 2 in four chromosomal loci; the Hox genes are expressed in nested (PRC2) and MLL complex, consistent with the bivalent histone marks anterior-posterior and proximal-distal patterns colinear with their (Supplementary Fig. 1a). genomic position from 39 to 59of the cluster11. -
A Low‐Grade Astrocytoma in a Sixteen‐Year‐Old Boy with a 7Q11.22 Deletion
CASE REPORT A low-grade astrocytoma in a sixteen-year-old boy with a 7q11.22 deletion Francoise S. van Kampen1 , Marianne E. Doornbos1, Monique A. van Rijn2 & Yolande den Bever3 1Department of Paediatrics, Albert Schweitzer Hospital, Dordrecht, The Netherlands 2Department of Neurology, Albert Schweitzer Hospital, Dordrecht, The Netherlands 3Department of Clinical Genetics, Erasmus University Hospital, Rotterdam, The Netherlands Correspondence Key Clinical Message Franciscus Vlietland Group Vlietlandplein 2 Postbus 215 3100 AE Schiedam We report a patient with developmental delay due to germline AUTS2 muta- Tel: (0031)108939393 tion who developed a low-grade astrocytoma. While the contribution of this E-mail: [email protected] mutation to the pathogenesis of the tumor is not known at this time, a role of AUTS2 in deregulation of PRC1 can be a part in tumorigenesis of a brain tumor. Funding Information No sources of funding were declared for this study. Keywords AUTS2, brain tumor, neurologic, pediatric. Received: 29 October 2016; Revised: 26 October 2017; Accepted: 13 November 2017 Clinical Case Reports 2018; 6(2): 274–277 doi: 10.1002/ccr3.1312 Background drives the formation of most low-grade gliomas (LGG). The most common mechanism of a MAPK pathway acti- In this case report, we describe a first patient with a low- vation in LGG’s is a tandem duplication on chromosome grade astrocytoma and a deletion in the AUTS2 gene. 7q34. In addition, deletions in 7q34 are described [4]. Mutations in (parts of) the autism susceptibility candidate Astrocytomas are occasionally described in Noonan, 2 (AUTS2) are described in case reports and further Turner, Lynch syndrome, and neurofibromatosis. -
Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis
International Journal of Molecular Sciences Review Aberrant Activity of Histone–Lysine N-Methyltransferase 2 (KMT2) Complexes in Oncogenesis Elzbieta Poreba 1,* , Krzysztof Lesniewicz 2 and Julia Durzynska 1,* 1 Institute of Experimental Biology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland 2 Department of Molecular and Cellular Biology, Institute of Molecular Biology and Biotechnology, Faculty of Biology, Adam Mickiewicz University, ul. Uniwersytetu Pozna´nskiego6, 61-614 Pozna´n,Poland; [email protected] * Correspondence: [email protected] (E.P.); [email protected] (J.D.); Tel.: +48-61-829-5857 (E.P.) Received: 19 November 2020; Accepted: 6 December 2020; Published: 8 December 2020 Abstract: KMT2 (histone-lysine N-methyltransferase subclass 2) complexes methylate lysine 4 on the histone H3 tail at gene promoters and gene enhancers and, thus, control the process of gene transcription. These complexes not only play an essential role in normal development but have also been described as involved in the aberrant growth of tissues. KMT2 mutations resulting from the rearrangements of the KMT2A (MLL1) gene at 11q23 are associated with pediatric mixed-lineage leukemias, and recent studies demonstrate that KMT2 genes are frequently mutated in many types of human cancers. Moreover, other components of the KMT2 complexes have been reported to contribute to oncogenesis. This review summarizes the recent advances in our knowledge of the role of KMT2 complexes in cell transformation. In addition, it discusses the therapeutic targeting of different components of the KMT2 complexes. Keywords: histone–lysine N-methyltransferase 2; COMPASS; COMPASS-like; H3K4 methylation; oncogenesis; cancer; epigenetics; chromatin 1. -
Genomic Divergence and Brain Evolution: How Regulatory DNA Influences Development of the Cerebral Cortex
Prospects & Overviews Review essays Genomic divergence and brain evolution: How regulatory DNA influences development of the cerebral cortex Debra L. Silver1)2)3)4) The cerebral cortex controls our most distinguishing higher Introduction cognitive functions. Human-specific gene expression dif- ferences are abundant in the cerebral cortex, yet we have A large six-layered neocortex is a unique feature of only begun to understand how these variations impact brain mammalian brains. This specialized outer covering of the brain controls our higher cognitive functions including function. This review discusses the current evidence linking abstract thought and language, which together help uniquely non-coding regulatory DNA changes, including enhancers, define us as humans. Our distinguishing cognitive capacities with neocortical evolution. Functional interrogation using are specified within discrete cortical areas and are driven by animal models reveals converging roles for our genome in dynamic communication between neurons of the neocortex key aspects of cortical development including progenitor and other brain regions, as well as glial cell populations (including oligodendrocytes, microglia, and astrocytes). cell cycle and neuronal signaling. New technologies, Neurons are initially generated during human embryonic includingiPS cells and organoids, offerpotential alternatives and early fetal development, where they migrate to appropri- to modeling evolutionary modifications in a relevant species ate regions and begin establishing functional connections context. Several diseases rooted in the cerebral cortex during fetal and postnatal stages (Fig. 1). Disruptions to uniquely manifest in humans compared to other primates, cerebral cortex function arising during either development or thus highlighting the importance of understanding human adulthood, can result in neurodevelopmental and neurode- generative disorders. -
NATURAL KILLER CELLS, HYPOXIA, and EPIGENETIC REGULATION of HEMOCHORIAL PLACENTATION by Damayanti Chakraborty Submitted to the G
NATURAL KILLER CELLS, HYPOXIA, AND EPIGENETIC REGULATION OF HEMOCHORIAL PLACENTATION BY Damayanti Chakraborty Submitted to the graduate degree program in Pathology and Laboratory Medicine and the Graduate Faculty of the University of Kansas in partial fulfillment ofthe requirements for the degree of Doctor of Philosophy. ________________________________ Chair: Michael J. Soares, Ph.D. ________________________________ Jay Vivian, Ph.D. ________________________________ Patrick Fields, Ph.D. ________________________________ Soumen Paul, Ph.D. ________________________________ Michael Wolfe, Ph.D. ________________________________ Adam J. Krieg, Ph.D. Date Defended: 04/01/2013 The Dissertation Committee for Damayanti Chakraborty certifies that this is the approved version of the following dissertation: NATURAL KILLER CELLS, HYPOXIA, AND EPIGENETIC REGULATION OF HEMOCHORIAL PLACENTATION ________________________________ Chair: Michael J. Soares, Ph.D. Date approved: 04/01/2013 ii ABSTRACT During the establishment of pregnancy, uterine stromal cells differentiate into decidual cells and recruit natural killer (NK) cells. These NK cells are characterized by low cytotoxicity and distinct cytokine production. In rodent as well as in human pregnancy, the uterine NK cells peak in number around mid-gestation after which they decline. NK cells associate with uterine spiral arteries and are implicated in pregnancy associated vascular remodeling processes and potentially in modulating trophoblast invasion. Failure of trophoblast invasion and vascular remodeling has been shown to be associated with pathological conditions like preeclampsia syndrome, hypertension in mother and/or fetal growth restriction. We hypothesize that NK cells fundamentally contribute to the organization of the placentation site. In order to study the in vivo role of NK cells during pregnancy, gestation stage- specific NK cell depletion was performed in rats using anti asialo GM1 antibodies. -
Shallow Whole Genome Sequencing On
Author Manuscript Published OnlineFirst on July 14, 2017; DOI: 10.1158/1078-0432.CCR-17-0675 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Shallow whole genome sequencing on circulating cell-free DNA allows reliable non- invasive copy number profiling in neuroblastoma patients Nadine Van Roy1,4, Malaïka Van Der Linden1,3, Björn Menten1, Annelies Dheedene1, Charlotte Vandeputte 1,4, Jo Van Dorpe3, Geneviève Laureys2,4, Marleen Renard5, Tom Sante1,Tim Lammens2,4, Bram De Wilde2,4, Frank Speleman1,4, Katleen De Preter1,4,* 1Center for Medical Genetics, Ghent University, Ghent, Belgium 2Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Ghent University Hospital, Ghent, Belgium 3Department of Pathology, Ghent University, Ghent, Belgium 4Cancer Research Institute Ghent, Ghent University, Ghent, Belgium 5Department of Pediatric Hematology-Oncology and Stem Cell Transplantation, Leuven University Hospital, Leuven, Belgium *Corresponding author Running title: non-invasive copy number profiling using shallow WGS Keywords: neuroblastoma, cell-free DNA, copy number profiling, shallow whole genome sequencing, non-invasive The authors would like to thank the following funding agencies: the Belgian Foundation against Cancer (project 2015-146) to FS, the Flemish liga against cancer (B/14651/01 and STIVLK2016000601), Ghent University (BOF16/GOA/23) to FS, the Belgian Program of Interuniversity Poles of Attraction (IUAP Phase VII - P7/03) to FS, the Fund for Scientific Research Flanders (Research project G021415N) to KDP and project 18B1716N to BDW, the European Union H2020 (OPTIMIZE-NB GOD9415N and TRANSCAN-ON THE TRAC GOD8815N) to FS. The Ghent University Hospital innovation project for molecular pathology (project number: KW/1694/PAN/001/001) to JVD and MVDL, vzw Kinderkankerfonds, a non-profit childhood cancer foundation under Belgian law to TL. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A