Human Telomeric Proteins Occupy Selective Interstitial Sites
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The Genomic Structure and Expression of MJD, the Machado-Joseph Disease Gene
J Hum Genet (2001) 46:413–422 © Jpn Soc Hum Genet and Springer-Verlag 2001 ORIGINAL ARTICLE Yaeko Ichikawa · Jun Goto · Masahira Hattori Atsushi Toyoda · Kazuo Ishii · Seon-Yong Jeong Hideji Hashida · Naoki Masuda · Katsuhisa Ogata Fumio Kasai · Momoki Hirai · Patrícia Maciel Guy A. Rouleau · Yoshiyuki Sakaki · Ichiro Kanazawa The genomic structure and expression of MJD, the Machado-Joseph disease gene Received: March 7, 2001 / Accepted: April 17, 2001 Abstract Machado-Joseph disease (MJD) is an autosomal relative to the MJD gene in B445M7 indicate that there are dominant neurodegenerative disorder that is clinically char- three alternative splicing sites and eight polyadenylation acterized by cerebellar ataxia and various associated symp- signals in MJD that are used to generate the differently toms. The disease is caused by an unstable expansion of the sized transcripts. CAG repeat in the MJD gene. This gene is mapped to chromosome 14q32.1. To determine its genomic structure, Key words Machado-Joseph disease (MJD) · 14q32.1 · we constructed a contig composed of six cosmid clones and CAG repeat · Genome structure · Alternative splicing · eight bacterial artificial chromosome (BAC) clones. It spans mRNA expression approximately 300kb and includes MJD. We also deter- mined the complete sequence (175,330bp) of B445M7, a human BAC clone that contains MJD. The MJD gene was found to span 48,240bp and to contain 11 exons. Northern Introduction blot analysis showed that MJD mRNA is ubiquitously expressed in human tissues, and in at least four different Machado-Joseph disease (MJD) is an autosomal dominant sizes; namely, 1.4, 1.8, 4.5, and 7.5kb. -
Complete Article
The EMBO Journal Vol. I No. 12 pp. 1539-1544, 1982 Long terminal repeat-like elements flank a human immunoglobulin epsilon pseudogene that lacks introns Shintaro Ueda', Sumiko Nakai, Yasuyoshi Nishida, lack the entire IVS have been found in the gene families of the Hiroshi Hisajima, and Tasuku Honjo* mouse a-globin (Nishioka et al., 1980; Vanin et al., 1980), the lambda chain (Hollis et al., 1982), Department of Genetics, Osaka University Medical School, Osaka 530, human immunoglobulin Japan and the human ,B-tubulin (Wilde et al., 1982a, 1982b). The mouse a-globin processed gene is flanked by long terminal Communicated by K.Rajewsky Received on 30 September 1982 repeats (LTRs) of retrovirus-like intracisternal A particles on both sides, although their orientation is opposite to each There are at least three immunoglobulin epsilon genes (C,1, other (Lueders et al., 1982). The human processed genes CE2, and CE) in the human genome. The nucleotide sequences described above have poly(A)-like tails -20 bases 3' to the of the expressed epsilon gene (CE,) and one (CE) of the two putative poly(A) addition signal and are flanked by direct epsilon pseudogenes were compared. The results show that repeats of several bases on both sides (Hollis et al., 1982; the CE3 gene lacks the three intervening sequences entirely and Wilde et al., 1982a, 1982b). Such direct repeats, which were has a 31-base A-rich sequence 16 bases 3' to the putative also found in human small nuclear RNA pseudogenes poly(A) addition signal, indicating that the CE3 gene is a pro- (Arsdell et al., 1981), might have been formed by repair of cessed gene. -
1 Retrotransposons and Pseudogenes Regulate Mrnas and Lncrnas Via the Pirna Pathway 1 in the Germline 2 3 Toshiaki Watanabe*, E
Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 1 Retrotransposons and pseudogenes regulate mRNAs and lncRNAs via the piRNA pathway 2 in the germline 3 4 Toshiaki Watanabe*, Ee-chun Cheng, Mei Zhong, and Haifan Lin* 5 Yale Stem Cell Center and Department of Cell Biology, Yale University School of Medicine, New Haven, 6 Connecticut 06519, USA 7 8 Running Title: Pachytene piRNAs regulate mRNAs and lncRNAs 9 10 Key Words: retrotransposon, pseudogene, lncRNA, piRNA, Piwi, spermatogenesis 11 12 *Correspondence: [email protected]; [email protected] 13 1 Downloaded from genome.cshlp.org on October 6, 2021 - Published by Cold Spring Harbor Laboratory Press 14 ABSTRACT 15 The eukaryotic genome has vast intergenic regions containing transposons, pseudogenes, and other 16 repetitive sequences. They produce numerous long non-coding RNAs (lncRNAs) and PIWI-interacting 17 RNAs (piRNAs), yet the functions of the vast intergenic regions remain largely unknown. Mammalian 18 piRNAs are abundantly expressed in late spermatocytes and round spermatids, coinciding with the 19 widespread expression of lncRNAs in these cells. Here, we show that piRNAs derived from transposons 20 and pseudogenes mediate the degradation of a large number of mRNAs and lncRNAs in mouse late 21 spermatocytes. In particular, they have a large impact on the lncRNA transcriptome, as a quarter of 22 lncRNAs expressed in late spermatocytes are up-regulated in mice deficient in the piRNA pathway. 23 Furthermore, our genomic and in vivo functional analyses reveal that retrotransposon sequences in the 24 3´UTR of mRNAs are targeted by piRNAs for degradation. -
Long-Read Cdna Sequencing Identifies Functional Pseudogenes in the Human Transcriptome Robin-Lee Troskie1, Yohaann Jafrani1, Tim R
Troskie et al. Genome Biology (2021) 22:146 https://doi.org/10.1186/s13059-021-02369-0 SHORT REPORT Open Access Long-read cDNA sequencing identifies functional pseudogenes in the human transcriptome Robin-Lee Troskie1, Yohaann Jafrani1, Tim R. Mercer2, Adam D. Ewing1*, Geoffrey J. Faulkner1,3* and Seth W. Cheetham1* * Correspondence: adam.ewing@ mater.uq.edu.au; faulknergj@gmail. Abstract com; [email protected]. au Pseudogenes are gene copies presumed to mainly be functionless relics of evolution 1Mater Research Institute-University due to acquired deleterious mutations or transcriptional silencing. Using deep full- of Queensland, TRI Building, QLD length PacBio cDNA sequencing of normal human tissues and cancer cell lines, we 4102 Woolloongabba, Australia Full list of author information is identify here hundreds of novel transcribed pseudogenes expressed in tissue-specific available at the end of the article patterns. Some pseudogene transcripts have intact open reading frames and are translated in cultured cells, representing unannotated protein-coding genes. To assess the biological impact of noncoding pseudogenes, we CRISPR-Cas9 delete the nucleus-enriched pseudogene PDCL3P4 and observe hundreds of perturbed genes. This study highlights pseudogenes as a complex and dynamic component of the human transcriptional landscape. Keywords: Pseudogene, PacBio, Long-read, lncRNA, CRISPR Background Pseudogenes are gene copies which are thought to be defective due to frame- disrupting mutations or transcriptional silencing [1, 2]. Most human pseudogenes (72%) are derived from retrotransposition of processed mRNAs, mediated by proteins encoded by the LINE-1 retrotransposon [3, 4]. Due to the loss of parental cis-regula- tory elements, processed pseudogenes were initially presumed to be transcriptionally silent [1] and were excluded from genome-wide functional screens and most transcrip- tome analyses [2]. -
Rab27a Co-Ordinates Actin-Dependent Transport by Controlling Organelle-Associated Motors and Track Assembly Proteins
ARTICLE https://doi.org/10.1038/s41467-020-17212-6 OPEN Rab27a co-ordinates actin-dependent transport by controlling organelle-associated motors and track assembly proteins Noura Alzahofi1,10, Tobias Welz2,10, Christopher L. Robinson1, Emma L. Page1, Deborah A. Briggs1, Amy K. Stainthorp 1, James Reekes1, David A. Elbe1, Felix Straub2, Wouter W. Kallemeijn 3, Edward W. Tate 3, Philip S. Goff 4, Elena V. Sviderskaya 4, Marta Cantero5,6, Lluis Montoliu 5,6, ✉ Francois Nedelec7, Amanda K. Miles 8, Maryse Bailly 9, Eugen Kerkhoff2 & Alistair N. Hume 1 1234567890():,; Cell biologists generally consider that microtubules and actin play complementary roles in long- and short-distance transport in animal cells. On the contrary, using melanosomes of melanocytes as a model, we recently discovered that the motor protein myosin-Va works with dynamic actin tracks to drive long-range organelle dispersion in opposition to micro- tubules. This suggests that in animals, as in yeast and plants, myosin/actin can drive long- range transport. Here, we show that the SPIRE-type actin nucleators (predominantly SPIRE1) are Rab27a effectors that co-operate with formin-1 to generate actin tracks required for myosin-Va-dependent transport in melanocytes. Thus, in addition to melanophilin/myosin- Va, Rab27a can recruit SPIREs to melanosomes, thereby integrating motor and track assembly activity at the organelle membrane. Based on this, we suggest a model in which organelles and force generators (motors and track assemblers) are linked, forming an organelle-based, cell-wide network that allows their collective activity to rapidly disperse the population of organelles long-distance throughout the cytoplasm. -
Supplementary Materials
Supplementary 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 -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
The Disruption Ofcelf6, a Gene Identified by Translational Profiling
2732 • The Journal of Neuroscience, February 13, 2013 • 33(7):2732–2753 Neurobiology of Disease The Disruption of Celf6, a Gene Identified by Translational Profiling of Serotonergic Neurons, Results in Autism-Related Behaviors Joseph D. Dougherty,1,2 Susan E. Maloney,1,2 David F. Wozniak,2 Michael A. Rieger,1,2 Lisa Sonnenblick,3,4,5 Giovanni Coppola,4 Nathaniel G. Mahieu,1 Juliet Zhang,6 Jinlu Cai,8 Gary J. Patti,1 Brett S. Abrahams,8 Daniel H. Geschwind,3,4,5 and Nathaniel Heintz6,7 Departments of 1Genetics and 2Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, 3UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Behavior, 4Program in Neurogenetics, Department of Neurology, and 5Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, 6Laboratory of Molecular Biology, Howard Hughes Medical Institute, and 7The GENSAT Project, Rockefeller University, New York, New York 10065, and 8Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, New York, New York 10461 The immense molecular diversity of neurons challenges our ability to understand the genetic and cellular etiology of neuropsychiatric disorders. Leveraging knowledge from neurobiology may help parse the genetic complexity: identifying genes important for a circuit that mediates a particular symptom of a disease may help identify polymorphisms that contribute to risk for the disease as a whole. The serotonergic system has long been suspected in disorders that have symptoms of repetitive behaviors and resistance to change, including autism. We generated a bacTRAP mouse line to permit translational profiling of serotonergic neurons. -
Genome-Wide DNA Methylation Dynamics During Epigenetic
Gómez‑Redondo et al. Clin Epigenet (2021) 13:27 https://doi.org/10.1186/s13148‑021‑01003‑x RESEARCH Open Access Genome‑wide DNA methylation dynamics during epigenetic reprogramming in the porcine germline Isabel Gómez‑Redondo1*† , Benjamín Planells1†, Sebastián Cánovas2,3, Elena Ivanova4, Gavin Kelsey4,5 and Alfonso Gutiérrez‑Adán1 Abstract Background: Prior work in mice has shown that some retrotransposed elements remain substantially methylated during DNA methylation reprogramming of germ cells. In the pig, however, information about this process is scarce. The present study was designed to examine the methylation profles of porcine germ cells during the time course of epigenetic reprogramming. Results: Sows were artifcially inseminated, and their fetuses were collected 28, 32, 36, 39, and 42 days later. At each time point, genital ridges were dissected from the mesonephros and germ cells were isolated through magnetic‑ activated cell sorting using an anti‑SSEA‑1 antibody, and recovered germ cells were subjected to whole‑genome bisulphite sequencing. Methylation levels were quantifed using SeqMonk software by performing an unbiased analysis, and persistently methylated regions (PMRs) in each sex were determined to extract those regions showing 50% or more methylation. Most genomic elements underwent a dramatic loss of methylation from day 28 to day 36, when the lowest levels were shown. By day 42, there was evidence for the initiation of genomic re‑methylation. We identifed a total of 1456 and 1122 PMRs in male and female germ cells, respectively, and large numbers of transpos‑ able elements (SINEs, LINEs, and LTRs) were found to be located within these PMRs. Twenty‑one percent of the introns located in these PMRs were found to be the frst introns of a gene, suggesting their regulatory role in the expression of these genes. -
Identification of Genetic Factors Underpinning Phenotypic Heterogeneity in Huntington’S Disease and Other Neurodegenerative Disorders
Identification of genetic factors underpinning phenotypic heterogeneity in Huntington’s disease and other neurodegenerative disorders. By Dr Davina J Hensman Moss A thesis submitted to University College London for the degree of Doctor of Philosophy Department of Neurodegenerative Disease Institute of Neurology University College London (UCL) 2020 1 I, Davina Hensman Moss confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. Collaborative work is also indicated in this thesis. Signature: Date: 2 Abstract Neurodegenerative diseases including Huntington’s disease (HD), the spinocerebellar ataxias and C9orf72 associated Amyotrophic Lateral Sclerosis / Frontotemporal dementia (ALS/FTD) do not present and progress in the same way in all patients. Instead there is phenotypic variability in age at onset, progression and symptoms. Understanding this variability is not only clinically valuable, but identification of the genetic factors underpinning this variability has the potential to highlight genes and pathways which may be amenable to therapeutic manipulation, hence help find drugs for these devastating and currently incurable diseases. Identification of genetic modifiers of neurodegenerative diseases is the overarching aim of this thesis. To identify genetic variants which modify disease progression it is first necessary to have a detailed characterization of the disease and its trajectory over time. In this thesis clinical data from the TRACK-HD studies, for which I collected data as a clinical fellow, was used to study disease progression over time in HD, and give subjects a progression score for subsequent analysis. In this thesis I show blood transcriptomic signatures of HD status and stage which parallel HD brain and overlap with Alzheimer’s disease brain. -
NF1) Pseudogenes on Chromosomes 2, 14 and 22
European Journal of Human Genetics (2000) 8, 209–214 © 2000 Macmillan Publishers Ltd All rights reserved 1018–4813/00 $15.00 y www.nature.com/ejhg ARTICLE Mechanism of spreading of the highly related neurofibromatosis type 1 (NF1) pseudogenes on chromosomes 2, 14 and 22 Mirjam Luijten1, YingPing Wang2, Blaine T Smith2, Andries Westerveld1, Luc J Smink3, Ian Dunham3, Bruce A Roe2 and Theo JM Hulsebos1 1Department of Human Genetics, Academic Medical Center, University of Amsterdam, The Netherlands; 2Department of Chemistry and Biochemistry, University of Oklahoma, Norman, OK, USA; 3Sanger Centre, Wellcome Trust Genome Campus, Hinxton Hall, Cambridge, UK Neurofibromatosis type 1 (NF1) is a frequent hereditary disorder that involves tissues derived from the embryonic neural crest. Besides the functional gene on chromosome arm 17q, NF1-related sequences (pseudogenes) are present on a number of chromosomes including 2, 12, 14, 15, 18, 21, and 22. We elucidated the complete nucleotide sequence of the NF1 pseudogene on chromosome 22. Only the middle part of the functional gene but not exons 21–27a, encoding the functionally important GAP-related domain of the NF1 protein, is presented in this pseudogene. In addition to the two known NF1 pseudogenes on chromosome 14 we identified two novel variants. A phylogenetic tree was constructed, from which we concluded that the NF1 pseudogenes on chromosomes 2, 14, and 22 are closely related to each other. Clones containing one of these pseudogenes cross-hybridised with the other pseudogenes in this subset, but did not reveal any in situ hybridisation with the functional NF1 gene or with NF1 pseudogenes on other chromosomes. -
Chimp Olivia.Rev1
Olivia Knowles Page 1 Annotation of Chimp Chunk 2-7 Introduction: My partner, Michelle Miller, and I have annotated Chimp Chunk 2-7 in preparation for annotating a segment of the Drosophila mohavensis genome. We were given GENSCAN (tool that predicts the location of genes in a given sequence) output for our Chimp Chunk. In order to discover the true identity of the genes predicted by GENSCAN, we analyzed a series of sequence alignments using BLAST (Basic Local Alignment Search Tool), BLAT (BLAST – Like Alignment Tool) and ClustalW (a multiple sequence alignment program). Fig 1: GENSCANW Output for Chimp Chunk 2-7 Fig 2: Initial GENSCAN Gene Map Olivia Knowles Page 2 Results: Predicted gene Number of exons Type of feature and related Location in Chimp (bp) number predicted function Pseudogene: RNA binding 1 6288-8932 1 motif---X-linked 3 estimated by GENSCAN, but Gene ortholog: spermatogenic 2 10182-36147 in reality 2 leucine zipper 1 gene exons. Explained later 1 estimated by Pseudogene: beta-actin. GENSCAN, but Structural support for the cell 3 36292-37603 in reality 2 and key player in muscular exons. contraction Explained later Pseudogene: keratin18. Keratin is a high sulfur matrix 4 40034-77992 5 protein used in feathers scales, hair, nails, etc. Table 1: Genes Predicted by GENSCAN Summary of Predicted Gene 1 and 2: My partner, Michelle Miller, analyzed the first two predicted genes. She found that predicted gene 1 is a pseudogene of the RNA binding motif, X-linked 2 gene. Evidence for this was gathered from BLASTp, BLAT to both humans and mice, and ESTs in the region.