Dynamic Repression by BCL6 Controls the Genome-Wide Liver Response To
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Refinement and Discovery of New Hotspots of Copy-Number Variation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector ARTICLE Refinement and Discovery of New Hotspots of Copy-Number Variation Associated with Autism Spectrum Disorder Santhosh Girirajan,1,5 Megan Y. Dennis,1,5 Carl Baker,1 Maika Malig,1 Bradley P. Coe,1 Catarina D. Campbell,1 Kenneth Mark,1 Tiffany H. Vu,1 Can Alkan,1 Ze Cheng,1 Leslie G. Biesecker,2 Raphael Bernier,3 and Evan E. Eichler1,4,* Rare copy-number variants (CNVs) have been implicated in autism and intellectual disability. These variants are large and affect many genes but lack clear specificity toward autism as opposed to developmental-delay phenotypes. We exploited the repeat architecture of the genome to target segmental duplication-mediated rearrangement hotspots (n ¼ 120, median size 1.78 Mbp, range 240 kbp to 13 Mbp) and smaller hotspots flanked by repetitive sequence (n ¼ 1,247, median size 79 kbp, range 3–96 kbp) in 2,588 autistic individuals from simplex and multiplex families and in 580 controls. Our analysis identified several recurrent large hotspot events, including association with 1q21 duplications, which are more likely to be identified in individuals with autism than in those with developmental delay (p ¼ 0.01; OR ¼ 2.7). Within larger hotspots, we also identified smaller atypical CNVs that implicated CHD1L and ACACA for the 1q21 and 17q12 deletions, respectively. Our analysis, however, suggested no overall increase in the burden of smaller hotspots in autistic individuals as compared to controls. By focusing on gene-disruptive events, we identified recurrent CNVs, including DPP10, PLCB1, TRPM1, NRXN1, FHIT, and HYDIN, that are enriched in autism. -
University of California Santa Cruz Sample
UNIVERSITY OF CALIFORNIA SANTA CRUZ SAMPLE-SPECIFIC CANCER PATHWAY ANALYSIS USING PARADIGM A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY in BIOMOLECULAR ENGINEERING AND BIOINFORMATICS by Stephen C. Benz June 2012 The Dissertation of Stephen C. Benz is approved: Professor David Haussler, Chair Professor Joshua Stuart Professor Nader Pourmand Dean Tyrus Miller Vice Provost and Dean of Graduate Studies Copyright c by Stephen C. Benz 2012 Table of Contents List of Figures v List of Tables xi Abstract xii Dedication xiv Acknowledgments xv 1 Introduction 1 1.1 Identifying Genomic Alterations . 2 1.2 Pathway Analysis . 5 2 Methods to Integrate Cancer Genomics Data 10 2.1 UCSC Cancer Genomics Browser . 11 2.2 BioIntegrator . 16 3 Pathway Analysis Using PARADIGM 20 3.1 Method . 21 3.2 Comparisons . 26 3.2.1 Distinguishing True Networks From Decoys . 27 3.2.2 Tumor versus Normal - Pathways associated with Ovarian Cancer 29 3.2.3 Differentially Regulated Pathways in ER+ve vs ER-ve breast can- cers . 36 3.2.4 Therapy response prediction using pathways (Platinum Free In- terval in Ovarian Cancer) . 38 3.3 Unsupervised Stratification of Cancer Patients by Pathway Activities . 42 4 SuperPathway - A Global Pathway Model for Cancer 51 4.1 SuperPathway in Ovarian Cancer . 55 4.2 SuperPathway in Breast Cancer . 61 iii 4.2.1 Chin-Naderi Cohort . 61 4.2.2 TCGA Breast Cancer . 63 4.3 Cross-Cancer SuperPathway . 67 5 Pathway Analysis of Drug Effects 74 5.1 SuperPathway on Breast Cell Lines . -
Structure and Expression Analyses of SVA Elements in Relation to Functional Genes
pISSN 1598-866X eISSN 2234-0742 Genomics Inform 2013;11(3):142-148 G&I Genomics & Informatics http://dx.doi.org/10.5808/GI.2013.11.3.142 ORIGINAL ARTICLE Structure and Expression Analyses of SVA Elements in Relation to Functional Genes Yun-Jeong Kwon, Yuri Choi, Jungwoo Eo, Yu-Na Noh, Jeong-An Gim, Yi-Deun Jung, Ja-Rang Lee, Heui-Soo Kim* Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea SINE-VNTR-Alu (SVA) elements are present in hominoid primates and are divided into 6 subfamilies (SVA-A to SVA-F) and active in the human population. Using a bioinformatic tool, 22 SVA element-associated genes are identified in the human genome. In an analysis of genomic structure, SVA elements are detected in the 5′ untranslated region (UTR) of HGSNAT (SVA-B), MRGPRX3 (SVA-D), HYAL1 (SVA-F), TCHH (SVA-F), and ATXN2L (SVA-F) genes, while some elements are observed in the 3′UTR of SPICE1 (SVA-B), TDRKH (SVA-C), GOSR1 (SVA-D), BBS5 (SVA-D), NEK5 (SVA-D), ABHD2 (SVA-F), C1QTNF7 (SVA-F), ORC6L (SVA-F), TMEM69 (SVA-F), and CCDC137 (SVA-F) genes. They could contribute to exon extension or supplying poly A signals. LEPR (SVA-C), ALOX5 (SVA-D), PDS5B (SVA-D), and ABCA10 (SVA-F) genes also showed alternative transcripts by SVA exonization events. Dominant expression of HYAL1_SVA appeared in lung tissues, while HYAL1_noSVA showed ubiquitous expression in various human tissues. Expression of both transcripts (TDRKH_SVA and TDRKH_noSVA) of the TDRKH gene appeared to be ubiquitous. -
Discovery and Systematic Characterization of Risk Variants and Genes For
medRxiv preprint doi: https://doi.org/10.1101/2021.05.24.21257377; this version posted June 2, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license . 1 Discovery and systematic characterization of risk variants and genes for 2 coronary artery disease in over a million participants 3 4 Krishna G Aragam1,2,3,4*, Tao Jiang5*, Anuj Goel6,7*, Stavroula Kanoni8*, Brooke N Wolford9*, 5 Elle M Weeks4, Minxian Wang3,4, George Hindy10, Wei Zhou4,11,12,9, Christopher Grace6,7, 6 Carolina Roselli3, Nicholas A Marston13, Frederick K Kamanu13, Ida Surakka14, Loreto Muñoz 7 Venegas15,16, Paul Sherliker17, Satoshi Koyama18, Kazuyoshi Ishigaki19, Bjørn O Åsvold20,21,22, 8 Michael R Brown23, Ben Brumpton20,21, Paul S de Vries23, Olga Giannakopoulou8, Panagiota 9 Giardoglou24, Daniel F Gudbjartsson25,26, Ulrich Güldener27, Syed M. Ijlal Haider15, Anna 10 Helgadottir25, Maysson Ibrahim28, Adnan Kastrati27,29, Thorsten Kessler27,29, Ling Li27, Lijiang 11 Ma30,31, Thomas Meitinger32,33,29, Sören Mucha15, Matthias Munz15, Federico Murgia28, Jonas B 12 Nielsen34,20, Markus M Nöthen35, Shichao Pang27, Tobias Reinberger15, Gudmar Thorleifsson25, 13 Moritz von Scheidt27,29, Jacob K Ulirsch4,11,36, EPIC-CVD Consortium, Biobank Japan, David O 14 Arnar25,37,38, Deepak S Atri39,3, Noël P Burtt4, Maria C Costanzo4, Jason Flannick40, Rajat M 15 Gupta39,3,4, Kaoru Ito18, Dong-Keun Jang4, -
Novel Targets of Apparently Idiopathic Male Infertility
International Journal of Molecular Sciences Review Molecular Biology of Spermatogenesis: Novel Targets of Apparently Idiopathic Male Infertility Rossella Cannarella * , Rosita A. Condorelli , Laura M. Mongioì, Sandro La Vignera * and Aldo E. Calogero Department of Clinical and Experimental Medicine, University of Catania, 95123 Catania, Italy; [email protected] (R.A.C.); [email protected] (L.M.M.); [email protected] (A.E.C.) * Correspondence: [email protected] (R.C.); [email protected] (S.L.V.) Received: 8 February 2020; Accepted: 2 March 2020; Published: 3 March 2020 Abstract: Male infertility affects half of infertile couples and, currently, a relevant percentage of cases of male infertility is considered as idiopathic. Although the male contribution to human fertilization has traditionally been restricted to sperm DNA, current evidence suggest that a relevant number of sperm transcripts and proteins are involved in acrosome reactions, sperm-oocyte fusion and, once released into the oocyte, embryo growth and development. The aim of this review is to provide updated and comprehensive insight into the molecular biology of spermatogenesis, including evidence on spermatogenetic failure and underlining the role of the sperm-carried molecular factors involved in oocyte fertilization and embryo growth. This represents the first step in the identification of new possible diagnostic and, possibly, therapeutic markers in the field of apparently idiopathic male infertility. Keywords: spermatogenetic failure; embryo growth; male infertility; spermatogenesis; recurrent pregnancy loss; sperm proteome; DNA fragmentation; sperm transcriptome 1. Introduction Infertility is a widespread condition in industrialized countries, affecting up to 15% of couples of childbearing age [1]. It is defined as the inability to achieve conception after 1–2 years of unprotected sexual intercourse [2]. -
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Research Article Discovery of Aberrant Expression of R-RAS by Cancer-Linked DNA Hypomethylation in Gastric Cancer Using Microarrays Michiko Nishigaki,1 Kazuhiko Aoyagi,1 Inaho Danjoh,2 Masahide Fukaya,1 Kazuyoshi Yanagihara,3 Hiromi Sakamoto,1 Teruhiko Yoshida,1 and Hiroki Sasaki1 1Genetics Division, 2Center of Medical Genomics, and 3Central Animal Laboratory, National Cancer Center Research Institute, Tsukiji, Chuo-ku, Tokyo, Japan Abstract causal role in tumor formation, possibly by promoting chromosomal instability. For gene activation by cancer-linked hypomethylation, in Although hypomethylation was the originally identified epigenetic change in cancer, it was overlooked for many 1983 Feinberg and Vogelstein (8) first reported that human growth a h years in preference to hypermethylation. Recently, gene hormone, -globin,and -globin are methylated in normal tissues activation by cancer-linked hypomethylation has been redis- and become hypomethylated in cancers. It has been rediscovered covered. However, in gastric cancer, genome-wide screening recently that the cancer-linked hypomethylation leads to activation of the activated genes has not been found. By using of genes that are important in cancer (4). A correlation between microarrays, we identified 1,383 gene candidates reactivated hypomethylation and overexpression has been shown for MN/CA9 in at least one cell line of eight gastric cancer cell lines after encoding a tumor antigen in renal cell carcinomas (9), MDR1 in treatment with 5-aza-2Vdeoxycytidine and trichostatin A. Of myeloid leukemias (10), BCL-2 in chronic lymphocytic leukemias the 1,383 genes, 159 genes, including oncogenes ELK1, (11), MAGE-1 in melanomas (12), and SNCG/BCSG1 in breast carcinomas and ovarian carcinomas (13). -
Gene Interaction Analysis for Next-Generation Sequencing
European Journal of Human Genetics (2016) 24, 421–428 & 2016 Macmillan Publishers Limited All rights reserved 1018-4813/16 www.nature.com/ejhg ARTICLE Genome-wide gene–gene interaction analysis for next-generation sequencing Jinying Zhao1, Yun Zhu1 and Momiao Xiong*,2 The critical barrier in interaction analysis for next-generation sequencing (NGS) data is that the traditional pairwise interaction analysis that is suitable for common variants is difficult to apply to rare variants because of their prohibitive computational time, large number of tests and low power. The great challenges for successful detection of interactions with NGS data are (1) the demands in the paradigm of changes in interaction analysis; (2) severe multiple testing; and (3) heavy computations. To meet these challenges, we shift the paradigm of interaction analysis between two SNPs to interaction analysis between two genomic regions. In other words, we take a gene as a unit of analysis and use functional data analysis techniques as dimensional reduction tools to develop a novel statistic to collectively test interaction between all possible pairs of SNPs within two genome regions. By intensive simulations, we demonstrate that the functional logistic regression for interaction analysis has the correct type 1 error rates and higher power to detect interaction than the currently used methods. The proposed method was applied to a coronary artery disease dataset from the Wellcome Trust Case Control Consortium (WTCCC) study and the Framingham Heart Study (FHS) dataset, and the early-onset myocardial infarction (EOMI) exome sequence datasets with European origin from the NHLBI’s Exome Sequencing Project. We discovered that 6 of 27 pairs of significantly interacted genes in the FHS were replicated in the independent WTCCC study and 24 pairs of significantly interacted genes after applying Bonferroni correction in the EOMI study. -
Regulation of the Sperm Calcium Channel Catsper by Endogenous Steroids and Plant Triterpenoids
Regulation of the sperm calcium channel CatSper by endogenous steroids and plant triterpenoids Nadja Mannowetza, Melissa R. Millera, and Polina V. Lishkoa,1 aDepartment of Molecular and Cell Biology, University of California, Berkeley, CA 94720 Edited by David E. Clapham, Howard Hughes Medical Institute, Boston Children’s Hospital, Boston, MA, and approved April 20, 2017 (received for review January 10, 2017) The calcium channel of sperm (CatSper) is essential for sperm CatSper in a manner similar to P4 and explore the possibility of hyperactivated motility and fertility. The steroid hormone pro- PregS binding to the same sperm receptor as progesterone. gesterone activates CatSper of human sperm via binding to the As spermatozoa travel through the male and female repro- serine hydrolase ABHD2. However, steroid specificity of ABHD2 ductive tract, they are exposed to a variety of steroid hormones, has not been evaluated. Here, we explored whether steroid such as testosterone and estrogen. The rising levels of hydro- hormones to which human spermatozoa are exposed in the male cortisone (HC) in the body as a result of stress can impact fer- and female genital tract influence CatSper activation via modula- tility (16) by interfering with spermatogenesis and/or sperm tion of ABHD2. The results show that testosterone, estrogen, and functions. Therefore, we have also explored what influence tes- hydrocortisone did not alter basal CatSper currents, whereas the tosterone, estrogen, and HC have on CatSper activation. The neurosteroid pregnenolone sulfate exerted similar effects as pro- structural precursor of all steroid hormones in animals is the gesterone, likely binding to the same site. -
Variation in Protein Coding Genes Identifies Information Flow
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
BDH1 (G-5): Sc-514413
SAN TA C RUZ BI OTEC HNOL OG Y, INC . BDH1 (G-5): sc-514413 BACKGROUND APPLICATIONS BDH1 (3-hydroxybutyrate dehydrogenase, type 1), also known as BDH or BDH1 (G-5) is recommended for detection of BDH1 of mouse, rat and human SDR9C1, is a 343 amino acid protein that localizes to the mitochondrial origin by Western Blotting (starting dilution 1:100, dilution range 1:100- matrix and belongs to the short-chain dehydrogenases/reductases (SDR) 1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein (1 ml of family. Existing as a homotetramer, BDH1 functions to catalyze the NAD +- cell lysate)], immunofluorescence (starting dilution 1:50, dilution range 1:50- dependent interconversion of (R)-3-hydroxybutanoate and acetoacetate, a 1:500) and solid phase ELISA (starting dilution 1:30, dilution range 1:30- reaction that is allosterically activated by phosphatidylcholine. As both 1:3000). (R)-3-hydroxybutanoate and acetoacetate are two major ketone bodies pro - Suitable for use as control antibody for BDH1 siRNA (h): sc-78262, BDH1 duced during fatty acid catabolism, BDH1 plays an important role in the meta - siRNA (m): sc-141681, BDH1 shRNA Plasmid (h): sc-78262-SH, BDH1 shRNA bolic degradation of fatty acids. The gene encoding BDH1 maps to human Plasmid (m): sc-141681-SH, BDH1 shRNA (h) Lentiviral Particles: sc-78262-V chromosome 3, which houses over 1,100 genes, including a chemokine and BDH1 shRNA (m) Lentiviral Particles: sc-141681-V. receptor (CKR) gene cluster and a variety of human cancer-related gene loci. Molecular Weight of mature BDH1: 38 kDa. -
Unconventional Endocannabinoid Signalling Governs Sperm Activation
RESEARCH | RESEARCH ARTICLES surface-charge screening and inactivation of 18. B. Abbasi et al., J. Res. Med. Sci. 17,1161–1169 (2012). expert technical assistance and C. Cirelli, G. Tononi, W. Wang, the NALCN channel–dependent Na+-leak cur- 19. I. Slutsky et al., Neuron 65, 165–177 (2010). and C. Nicholson for comments on the manuscript. All authors – rent (20). High [Mg2+] in combination with 20. B. Lu et al., Neuron 68, 488 499 (2010). contributed to data collection, technical design, and writing. e 21. J. Schummers, H. Yu, M. Sur, Science 320, 1638–1643 (2008). hyperpolarization will reduce the likelihood of 22. H. Sontheimer, Glia 11, 156–172 (1994). SUPPLEMENTARY MATERIALS NMDA receptor activation during sleep, reducing 23. A. Torres et al., Sci. Signal. 5, ra8 (2012). the brain’s ability to undergo activity-dependent 24. A. S. Thrane et al., Proc. Natl. Acad. Sci. U.S.A. 109, www.sciencemag.org/content/352/6285/550/suppl/DC1 18974–18979 (2012). Materials and Methods changes in excitatory transmission (LTP). Ma- Figs. S1 to S5 + 2+ 2+ nipulation of [K ]e, [Ca ]e, and [Mg ]e in the ACKNOWLEDGMENTS Table S1 References (25–45) CSF bathing the brain drove behavioral shifts This study was supported by NIH (NS078167 and NS078304) between sleep and awake states (Fig. 5). Astro- and the Office of Naval Research/Department of the Navy. We 18 September 2015; accepted 24 March 2016 cytic Ca2+ signaling is also enhanced by lowering thank W. Song, R. Rasmussen, E. Nicholas, and W. Peng for 10.1126/science.aad4821 2+ 2+ of [Ca ]e and [Mg ]e (21–23) and is strongly inhibited by anesthesia (24).These observations suggest that regulation of extracellular ion ho- meostasis is sufficient to alter behavioral state REPRODUCTIVE BIOLOGY both locally and globally, providing a path for neuromodulators to exert consistent, stable shifts in neuronal and astrocytic activity across Unconventional endocannabinoid the brain. -
Contrasting Evolutionary Genome Dynamics Between Domesticated and Wild Yeasts
ARTICLES OPEN Contrasting evolutionary genome dynamics between domesticated and wild yeasts Jia-Xing Yue1 , Jing Li1, Louise Aigrain2, Johan Hallin1 , Karl Persson3 , Karen Oliver2, Anders Bergström2, Paul Coupland2,5, Jonas Warringer3 , Marco Cosentino Lagomarsino4, Gilles Fischer4, Richard Durbin2 & Gianni Liti1 Structural rearrangements have long been recognized as an important source of genetic variation, with implications in phenotypic diversity and disease, yet their detailed evolutionary dynamics remain elusive. Here we use long-read sequencing to generate end- to-end genome assemblies for 12 strains representing major subpopulations of the partially domesticated yeast Saccharomyces cerevisiae and its wild relative Saccharomyces paradoxus. These population-level high-quality genomes with comprehensive annotation enable precise definition of chromosomal boundaries between cores and subtelomeres and a high-resolution view of evolutionary genome dynamics. In chromosomal cores, S. paradoxus shows faster accumulation of balanced rearrangements (inversions, reciprocal translocations and transpositions), whereas S. cerevisiae accumulates unbalanced rearrangements (novel insertions, deletions and duplications) more rapidly. In subtelomeres, both species show extensive interchromosomal reshuffling, with a higher tempo in S. cerevisiae. Such striking contrasts between wild and domesticated yeasts are likely to reflect the influence of human activities on structural genome evolution. Understanding how genetic variation translates into phenotypic biology and genetics. It was the first eukaryote to have its genome diversity is a central theme in biology. With the rapid advancement of sequence, population genomics and genotype–phenotype map exten- sequencing technology, genetic variation in large natural populations sively explored1,20,21. Here we applied PacBio sequencing to 12 repre- has been explored extensively for humans and several model organ- sentative strains of S.