The DNA Sequence and Analysis of Human Chromosome 13
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Genome Sequence of the Progenitor of the Wheat D Genome Aegilops Tauschii Ming-Cheng Luo1*, Yong Q
OPEN LETTER doi:10.1038/nature24486 Genome sequence of the progenitor of the wheat D genome Aegilops tauschii Ming-Cheng Luo1*, Yong Q. Gu2*, Daniela Puiu3*, Hao Wang4,5,6*, Sven O. Twardziok7*, Karin R. Deal1, Naxin Huo1,2, Tingting Zhu1, Le Wang1, Yi Wang1,2, Patrick E. McGuire1, Shuyang Liu1, Hai Long1, Ramesh K. Ramasamy1, Juan C. Rodriguez1, Sonny L. Van1, Luxia Yuan1, Zhenzhong Wang1,8, Zhiqiang Xia1, Lichan Xiao1, Olin D. Anderson2, Shuhong Ouyang2,8, Yong Liang2,8, Aleksey V. Zimin3, Geo Pertea3, Peng Qi4,5, Jeffrey L. Bennetzen6, Xiongtao Dai9, Matthew W. Dawson9, Hans-Georg Müller9, Karl Kugler7, Lorena Rivarola-Duarte7, Manuel Spannagl7, Klaus F. X. Mayer7,10, Fu-Hao Lu11, Michael W. Bevan11, Philippe Leroy12, Pingchuan Li13, Frank M. You13, Qixin Sun8, Zhiyong Liu8, Eric Lyons14, Thomas Wicker15, Steven L. Salzberg3,16, Katrien M. Devos4,5 & Jan Dvořák1 Aegilops tauschii is the diploid progenitor of the D genome of We conclude therefore that the size of the Ae. tauschii genome is about hexaploid wheat1 (Triticum aestivum, genomes AABBDD) and 4.3 Gb. an important genetic resource for wheat2–4. The large size and To assess the accuracy of our assembly, sequences of 195 inde- highly repetitive nature of the Ae. tauschii genome has until now pendently sequenced and assembled AL8/78 BAC clones8, which precluded the development of a reference-quality genome sequence5. contained 25,540,177 bp in 2,405 unordered contigs, were aligned to Here we use an array of advanced technologies, including ordered- Aet v3.0. Five contigs failed to align and six extended partly into gaps, clone genome sequencing, whole-genome shotgun sequencing, accounting for 0.25% of the total length of the contigs. -
The ELIXIR Core Data Resources: Fundamental Infrastructure for The
Supplementary Data: The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences The “Supporting Material” referred to within this Supplementary Data can be found in the Supporting.Material.CDR.infrastructure file, DOI: 10.5281/zenodo.2625247 (https://zenodo.org/record/2625247). Figure 1. Scale of the Core Data Resources Table S1. Data from which Figure 1 is derived: Year 2013 2014 2015 2016 2017 Data entries 765881651 997794559 1726529931 1853429002 2715599247 Monthly user/IP addresses 1700660 2109586 2413724 2502617 2867265 FTEs 270 292.65 295.65 289.7 311.2 Figure 1 includes data from the following Core Data Resources: ArrayExpress, BRENDA, CATH, ChEBI, ChEMBL, EGA, ENA, Ensembl, Ensembl Genomes, EuropePMC, HPA, IntAct /MINT , InterPro, PDBe, PRIDE, SILVA, STRING, UniProt ● Note that Ensembl’s compute infrastructure physically relocated in 2016, so “Users/IP address” data are not available for that year. In this case, the 2015 numbers were rolled forward to 2016. ● Note that STRING makes only minor releases in 2014 and 2016, in that the interactions are re-computed, but the number of “Data entries” remains unchanged. The major releases that change the number of “Data entries” happened in 2013 and 2015. So, for “Data entries” , the number for 2013 was rolled forward to 2014, and the number for 2015 was rolled forward to 2016. The ELIXIR Core Data Resources: fundamental infrastructure for the life sciences 1 Figure 2: Usage of Core Data Resources in research The following steps were taken: 1. API calls were run on open access full text articles in Europe PMC to identify articles that mention Core Data Resource by name or include specific data record accession numbers. -
Centromere RNA Is a Key Component for the Assembly of Nucleoproteins at the Nucleolus and Centromere
Downloaded from genome.cshlp.org on September 23, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Centromere RNA is a key component for the assembly of nucleoproteins at the nucleolus and centromere Lee H. Wong,1,3 Kate H. Brettingham-Moore,1 Lyn Chan,1 Julie M. Quach,1 Melisssa A. Anderson,1 Emma L. Northrop,1 Ross Hannan,2 Richard Saffery,1 Margaret L. Shaw,1 Evan Williams,1 and K.H. Andy Choo1 1Chromosome and Chromatin Research Laboratory, Murdoch Childrens Research Institute & Department of Paediatrics, University of Melbourne, Royal Children’s Hospital, Parkville 3052, Victoria, Australia; 2Peter MacCallum Research Institute, St. Andrew’s Place, East Melbourne, Victoria 3002, Australia The centromere is a complex structure, the components and assembly pathway of which remain inadequately defined. Here, we demonstrate that centromeric ␣-satellite RNA and proteins CENPC1 and INCENP accumulate in the human interphase nucleolus in an RNA polymerase I–dependent manner. The nucleolar targeting of CENPC1 and INCENP requires ␣-satellite RNA, as evident from the delocalization of both proteins from the nucleolus in RNase-treated cells, and the nucleolar relocalization of these proteins following ␣-satellite RNA replenishment in these cells. Using protein truncation and in vitro mutagenesis, we have identified the nucleolar localization sequences on CENPC1 and INCENP. We present evidence that CENPC1 is an RNA-associating protein that binds ␣-satellite RNA by an in vitro binding assay. Using chromatin immunoprecipitation, RNase treatment, and “RNA replenishment” experiments, we show that ␣-satellite RNA is a key component in the assembly of CENPC1, INCENP, and survivin (an INCENP-interacting protein) at the metaphase centromere. -
Genomes:Genomes: Whatwhat Wewe Knowknow …… Andand Whatwhat Wewe Don’Tdon’T Knowknow
Genomes:Genomes: WhatWhat wewe knowknow …… andand whatwhat wewe don’tdon’t knowknow Complete draft sequence 2001 OctoberOctober 15,15, 20072007 Dr.Dr. StefanStefan Maas,Maas, BioSBioS Lehigh Lehigh U.U. © SMaas 2007 What we know Raw genome data © SMaas 2007 The range of genome sizes in the animal & plant kingdoms !! NoNo correlationcorrelation betweenbetween genomegenome sizesize andand complexitycomplexity © SMaas 2007 What accounts for the often massive and seemingly arbitrary differences in genome size observed among eukaryotic organisms? The fruit fly The mountain grasshopper Drosophila melanogaster Podisma pedestris 180 Mb 18,000 Mb The difference in genome size of a factor of 100 is difficult to explain in view of the apparently similar levels of evolutionary, developmental and behavioral complexity of these organisms. © SMaas 2007 ComplexityComplexity doesdoes notnot correlatecorrelate withwith genomegenome sizesize 3.4 × 10 9 bp 6.7 × 1011 bp Homo sapiens Amoeba dubia © SMaas 2007 ComplexityComplexity doesdoes notnot correlatecorrelate withwith genegene numbernumber ~31,000~31,000 genesgenes ~26,000~26,000 genesgenes ~50,000~50,000 genesgenes © SMaas 2007 IsIs anan ExpansionExpansion inin GeneGene NumberNumber drivingdriving EvolutionEvolution ofof HigherHigher Organisms?Organisms? Vertebrata 30,000 Urochordata 16,000 Arthropoda 14,000 Nematoda 21,000 Fungi 2,000 – 13,000 Vascular plants 25,000 – 60,000 Unicellular sps. 5,000 – 10,000 Prokaryotes 500 - 7,000 © SMaas 2007 Structure of DNA Watson and Crick in 1953 proposed that DNA is a double helix in which the 4 bases are base paired, Adenine (A) with Thymine (T) and Guanine (G) with Cytosine (C). © SMaas 2007 © SMaas 2007 © SMaas 2007 Steps in the folding of DNA to create an eukaryotic chromosome 30 nm fiber (6 nucleosomes per turn) FactorFactor ofof condensation:condensation: Ca.Ca. -
Saccharomyces Cerevisiae
letters to nature 19Department of Yeast Genetics, Institute of Molecular Medecine, John Radcliffe Hospital, Headington, Oxford OX3 9DU, UK The nucleotide sequence of 20L.N.C.I.B., Area Science Park, Padriciano 99, I-34012 Trieste, Italy 21GATC GmbH, Fitz-Arnold-Strasse 23, 78467 Konstanz, Germany Saccharomyces cerevisiae 22Carlsberg Laboratory, Gamle Carlsberg Vej 10, DK-2500 Copenhagen Valby, Denmark chromosome IV 23AGON GmbH, Glienicker Weg 185, D-12489 Berlin, Germany 24Katholieke Universiteit Leuven, Laboratory of Gene Technology, Willem de C. Jacq1, J. Alt-Mörbe2, B. Andre3, W. Arnold4, A. Bahr5, Croylaan, 42, B-3001 Leuven, Belgium J. P. G. Ballesta6, M. Bargues7, L. Baron8, A. Becker4, N. Biteau8, 25The Sanger Centre, Wellcome Trust Genome Campus, Hinxton, Cambridge H. Blöcker9, C. Blugeon1, J. Boskovic6, P. Brandt9, M. Brückner10 , CB10 1SA, UK M. J. Buitrago11 , F. Coster12, T. Delaveau1, F. del Rey11 , B. Dujon13, 26Department of Biochemistry, Stanford University, Beckman Center, Stanford L. G. Eide14, J. M. Garcia-Cantalejo6, A. Goffeau12, A. Gomez-Peris15, CA 94305-5307, USA C. Granotier8, V. Hanemann16, T. Hankeln5, J. D. Hoheisel17, W. Jäger9, 27The Genome Sequencing Center, Department of Genetics, Washington University, A. Jimenez6, J.-L. Jonniaux12, C. Krämer5, H. Küster4, P. Laamanen18, School of Medicine, 630 S. Euclid Avenue, St Louis, Missouri 63110, USA Y. Legros8, E. Louis19, S. Möller-Rieker5, A. Monnet8, M. Moro20, 28Martinsrieder Institut für Protein Sequenzen, Max-Planck-Institut für S. Müller-Auer10 , B. Nußbaumer4, N. Paricio7, L. Paulin18, J. Perea1, Biochemie, D-82152 Martinsried bei München, Germany. M. Perez-Alonso7, J. E. Perez-Ortin15, T. M. Pohl21, H. Prydz14, B. -
20P Deletions FTNW
20p deletions rarechromo.org Deletions from chromosome 20p A chromosome 20p deletion is a rare genetic condition caused by the loss of material from one of the body’s 46 chromosomes. The material has been lost from the short arm (the top part in the diagram on the next page) of chromosome 20. Chromosomes are the structures in the nucleus of the body’s cells that carry the genetic information that controls development and function. In total every human individual normally has 46 chromosomes. Of these, two are a pair of sex chromosomes, XX (a pair of X chromosomes) in females and XY (one X chromosome and one Y chromosome) in males. The remaining 44 chromosomes are grouped in pairs. One chromosome from each pair is inherited from the mother while the other one is inherited from the father. Each chromosome has a short arm (called p) and a long arm (called q). Chromosome 20 is one of the smallest chromosomes in man. At present it is known to contain 737 genes out of the total of 20,000 to 25,000 genes in the human genome. You can’t see chromosomes with the naked eye, but if you stain them and magnify their image enough - about 850 times - you can see that each one has a distinctive pattern of light and dark bands. The diagram on the next page shows the bands of chromosome 20. These bands are numbered outwards starting from the point where the short and long arms meet (the centromere ). A low number, as in p11 in the short arm, is close to the centromere. -
4P Duplications
4p Duplications rarechromo.org Sources 4p duplications The information A 4p duplication is a rare chromosome disorder in which in this leaflet some of the material in one of the body’s 46 chromosomes comes from the is duplicated. Like most other chromosome disorders, this medical is associated to a variable extent with birth defects, literature and developmental delay and learning difficulties. from Unique’s 38 Chromosomes come in different sizes, each with a short members with (p) and a long (q) arm. They are numbered from largest to 4p duplications, smallest according to their size, from number 1 to number 15 of them with 22, in addition to the sex chromosomes, X and Y. We a simple have two copies of each of the chromosomes (23 pairs), duplication of 4p one inherited from our father and one inherited from our that did not mother. People with a chromosome 4p duplication have a involve any other repeat of some of the material on the short arm of one of chromosome, their chromosomes 4. The other chromosome 4 is the who were usual size. 4p duplications are sometimes also called surveyed in Trisomy 4p. 2004/5. Unique is This leaflet explains some of the features that are the same extremely or similar between people with a duplication of 4p. grateful to the People with different breakpoints have different features, families who but those with a duplication that covers at least two thirds took part in the of the uppermost part of the short arm share certain core survey. features. References When chromosomes are examined, they are stained with a dye that gives a characteristic pattern of dark and light The text bands. -
In Vitro Analysis of Mutations Causing Myoclonus Epilepsy with Ragged-Red Fibers in the Mitochondrial Trnalys Gene: Two Genotypes Produce Similar Phenotypes JUDY P
MOLECULAR AND CELLULAR BIOLOGY, May 1995, p. 2872–2881 Vol. 15, No. 5 0270-7306/95/$04.0010 Copyright q 1995, American Society for Microbiology In Vitro Analysis of Mutations Causing Myoclonus Epilepsy with Ragged-Red Fibers in the Mitochondrial tRNALys Gene: Two Genotypes Produce Similar Phenotypes JUDY P. MASUCCI,1 MERCY DAVIDSON,2 YASUTOSHI KOGA,2† 1,2 2 ERIC A. SCHON, AND MICHAEL P. KING * Departments of Genetics and Development1 and Neurology,2 Columbia University, New York, New York 10032 Received 6 December 1994/Returned for modification 20 January 1995/Accepted 20 February 1995 Cytoplasts from patients with myoclonus epilepsy with ragged-red fibers harboring a pathogenic point mutation at either nucleotide 8344 or 8356 in the human mitochondrial tRNALys gene were fused with human cells lacking endogenous mitochondrial DNA (mtDNA). For each mutation, cytoplasmic hybrid (cybrid) cell lines containing 0 or 100% mutated mtDNAs were isolated and their genetic, biochemical, and morphological characteristics were examined. Both mutations resulted in the same biochemical and molecular genetic phenotypes. Specifically, cybrids containing 100% mutated mtDNAs, but not those containing the correspond- ing wild-type mtDNAs, exhibited severe defects in respiratory chain activity, in the rates of protein synthesis, and in the steady-state levels of mitochondrial translation products. In addition, aberrant mitochondrial translation products were detected with both mutations. No significant alterations were observed in the processing of polycistronic RNA precursor transcripts derived from the region containing the tRNALys gene. These results demonstrate that two different mtDNA mutations in tRNALys, both associated with the same mitochondrial disorder, result in fundamentally identical defects at the cellular level and strongly suggest that specific protein synthesis abnormalities contribute to the pathogenesis of myoclonus epilepsy with ragged-red fibers. -
Methods in and Applications of the Sequencing of Short Non-Coding Rnas" (2013)
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2013 Methods in and Applications of the Sequencing of Short Non- Coding RNAs Paul Ryvkin University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Bioinformatics Commons, Genetics Commons, and the Molecular Biology Commons Recommended Citation Ryvkin, Paul, "Methods in and Applications of the Sequencing of Short Non-Coding RNAs" (2013). Publicly Accessible Penn Dissertations. 922. https://repository.upenn.edu/edissertations/922 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/922 For more information, please contact [email protected]. Methods in and Applications of the Sequencing of Short Non-Coding RNAs Abstract Short non-coding RNAs are important for all domains of life. With the advent of modern molecular biology their applicability to medicine has become apparent in settings ranging from diagonistic biomarkers to therapeutics and fields angingr from oncology to neurology. In addition, a critical, recent technological development is high-throughput sequencing of nucleic acids. The convergence of modern biotechnology with developments in RNA biology presents opportunities in both basic research and medical settings. Here I present two novel methods for leveraging high-throughput sequencing in the study of short non- coding RNAs, as well as a study in which they are applied to Alzheimer's Disease (AD). The computational methods presented here include High-throughput Annotation of Modified Ribonucleotides (HAMR), which enables researchers to detect post-transcriptional covalent modifications ot RNAs in a high-throughput manner. In addition, I describe Classification of RNAs by Analysis of Length (CoRAL), a computational method that allows researchers to characterize the pathways responsible for short non-coding RNA biogenesis. -
Methylation Patterns of RASA3 Associated with Clinicopathological
Journal of Cancer 2018, Vol. 9 2116 Ivyspring International Publisher Journal of Cancer 2018; 9(12): 2116-2122. doi: 10.7150/jca.24567 Research Paper Methylation patterns of RASA3 associated with clinicopathological factors in hepatocellular carcinoma Hui Lin*1,2, Xiaoxiao Fan*1,2, LiFeng He1,2, Daizhan Zhou1,2,3,4 1. Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China 2. Biomedical Research Center, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China. 3. Bio-X Center, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China. 4. Present address: Key Laboratory of Arrhythmias of the Ministry of Education of China, East Hospital, Tongji University School of Medicine; Institute of Medical Genetics, Tongji University, Shanghai, China. * Hui Lin and Xiaoxiao Fan contributed equally for this work. Corresponding author: Daizhan Zhou, Phd, Biomedical Research Center, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine. 3 East Qingchun Rd, Hangzhou 310016, China. Tel: 86-13738055489; Fax: 86-571-86044817; Email: [email protected]/[email protected] © Ivyspring International Publisher. This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY-NC) license (https://creativecommons.org/licenses/by-nc/4.0/). See http://ivyspring.com/terms for full terms and conditions. Received: 2017.12.26; Accepted: 2018.03.31; Published: 2018.05.25 Abstract Hepatocellular carcinoma (HCC) is the sixth most common tumor worldwide. The relationship between the gene methylation accumulation and HCC has been widely studied. -
Comparing Tools for Non-Coding RNA Multiple Sequence Alignment Based On
Downloaded from rnajournal.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press ES Wright 1 1 TITLE 2 RNAconTest: Comparing tools for non-coding RNA multiple sequence alignment based on 3 structural consistency 4 Running title: RNAconTest: benchmarking comparative RNA programs 5 Author: Erik S. Wright1,* 6 1 Department of Biomedical Informatics, University of Pittsburgh (Pittsburgh, PA) 7 * Corresponding author: Erik S. Wright ([email protected]) 8 Keywords: Multiple sequence alignment, Secondary structure prediction, Benchmark, non- 9 coding RNA, Consensus secondary structure 10 Downloaded from rnajournal.cshlp.org on September 26, 2021 - Published by Cold Spring Harbor Laboratory Press ES Wright 2 11 ABSTRACT 12 The importance of non-coding RNA sequences has become increasingly clear over the past 13 decade. New RNA families are often detected and analyzed using comparative methods based on 14 multiple sequence alignments. Accordingly, a number of programs have been developed for 15 aligning and deriving secondary structures from sets of RNA sequences. Yet, the best tools for 16 these tasks remain unclear because existing benchmarks contain too few sequences belonging to 17 only a small number of RNA families. RNAconTest (RNA consistency test) is a new 18 benchmarking approach relying on the observation that secondary structure is often conserved 19 across highly divergent RNA sequences from the same family. RNAconTest scores multiple 20 sequence alignments based on the level of consistency among known secondary structures 21 belonging to reference sequences in their output alignment. Similarly, consensus secondary 22 structure predictions are scored according to their agreement with one or more known structures 23 in a family. -
Chromosome 20
Chromosome 20 ©Chromosome Disorder Outreach Inc. (CDO) Technical genetic content provided by Dr. Iosif Lurie, M.D. Ph.D Medical Geneticist and CDO Medical Consultant/Advisor. Ideogram courtesy of the University of Washington Department of Pathology: ©1994 David Adler.hum_20.gif Introduction Chromosome 20 contains about 2% of the whole genetic material. Its genetic length is ~63 Mb. The long arm (~36 Mb) is a little bit larger than the short arm (~27 Mb). Chromosome 20 contains ~700–800 genes. Less than 10% of these genes are known to be related to human diseases. Deletions or duplications of these genes, which may be found in patients with chromosomal abnormalities, cause mostly functional defects, including a delay of psycho–motor development and seizures. Only a few genes may lead (when deleted) to structural defects of the heart, liver, extremities and other organs. Deletions of Chromosome 20 There is a relatively small number of known conditions caused by deletions and duplications of various segments of chromosome 20. Almost all of these deletions and duplications became recognized after usage of molecular cytogenetics. Only a handful of reports on patients with these abnormalities were available only 10 years ago. Because these methods open wide an opportunity to examine abnormalities of this previously not–well studied chromosome, there are no doubts that some new syndromes caused by deletions (or duplications) of chromosome 20 will be delineated in the near future. Currently, the most frequent forms of chromosome 20 deletions are deletions 20p12, involving the JAG1 gene and Alagille syndrome, and deletions 20q13.13q13.2, involving the SALL4 gene.