Family-Based Exome Sequencing Identifies Rare Coding Variants in Age-Related Macular Degeneration Rinki Ratnapriya1,2,†,‡,, Ilhan˙ E
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Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice
Loyola University Chicago Loyola eCommons Biology: Faculty Publications and Other Works Faculty Publications 2013 Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice Mihaela Palicev Gunter P. Wagner James P. Noonan Benedikt Hallgrimsson James M. Cheverud Loyola University Chicago, [email protected] Follow this and additional works at: https://ecommons.luc.edu/biology_facpubs Part of the Biology Commons Recommended Citation Palicev, M, GP Wagner, JP Noonan, B Hallgrimsson, and JM Cheverud. "Genomic Correlates of Relationship QTL Involved in Fore- Versus Hind Limb Divergence in Mice." Genome Biology and Evolution 5(10), 2013. This Article is brought to you for free and open access by the Faculty Publications at Loyola eCommons. It has been accepted for inclusion in Biology: Faculty Publications and Other Works by an authorized administrator of Loyola eCommons. For more information, please contact [email protected]. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. © Palicev et al., 2013. GBE Genomic Correlates of Relationship QTL Involved in Fore- versus Hind Limb Divergence in Mice Mihaela Pavlicev1,2,*, Gu¨ nter P. Wagner3, James P. Noonan4, Benedikt Hallgrı´msson5,and James M. Cheverud6 1Konrad Lorenz Institute for Evolution and Cognition Research, Altenberg, Austria 2Department of Pediatrics, Cincinnati Children‘s Hospital Medical Center, Cincinnati, Ohio 3Yale Systems Biology Institute and Department of Ecology and Evolutionary Biology, Yale University 4Department of Genetics, Yale University School of Medicine 5Department of Cell Biology and Anatomy, The McCaig Institute for Bone and Joint Health and the Alberta Children’s Hospital Research Institute for Child and Maternal Health, University of Calgary, Calgary, Canada 6Department of Anatomy and Neurobiology, Washington University *Corresponding author: E-mail: [email protected]. -
Epigenome-Wide Association of Father's Smoking
Environmental Epigenetics, 2019, 1–10 doi: 10.1093/eep/dvz023 Research article RESEARCH ARTICLE Epigenome-wide association of father’s smoking with offspring DNA methylation: a hypothesis-generating study G.T. Mørkve Knudsen1,2,*,†, F.I. Rezwan3,†, A. Johannessen2,4, S.M. Skulstad2, R.J. Bertelsen1, F.G. Real1, S. Krauss-Etschmann5,6, V. Patil7, D. Jarvis8, S.H. Arshad9,10, J.W. Holloway3,‡ and C. Svanes2,4,‡ 1Department of Clinical Science, University of Bergen, N-5021 Bergen, Norway; 2Department of Occupational Medicine, Haukeland University Hospital, N-5021 Bergen, Norway; 3Human Genetics and Genomic Medicine, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton SO16 6YD, UK; 4Department of Global Public Health and Primary Care, Centre for International Health, University of Bergen, N-5018 Bergen, Norway; 5Division of Experimental Asthma Research, Research Center Borstel, 23845 Borstel, Germany; 6German Center for Lung Research (DZL) and Institute of Experimental Medicine, Christian- Albrechts University of Kiel, 24118 Kiel, Germany; 7David Hide Asthma and Allergy Research Centre, St. Mary’s Hospital, Isle of Wight PO30 5TG, UK; 8Faculty of Medicine, National Heart & Lung Institute, Imperial College, London SW3 6LY, UK; 9Clinical and Experimental Sciences, University of Southampton, Southampton General Hospital, Southampton SO16 6YD, UK; 10NIHR Respiratory Biomedical Research Unit, University Hospital Southampton, Southampton SO16 6YD, UK *Correspondence address. Haukanesvegen 260, N-5650 Tysse, Norway; Tel: þ47 977 98 147; E-mail: [email protected] and [email protected] †Equal first authors. ‡Equal last authors. Managing Editor: Moshe Szyf Abstract Epidemiological studies suggest that father’s smoking might influence their future children’s health, but few studies have addressed whether paternal line effects might be related to altered DNA methylation patterns in the offspring. -
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). -
Associated with Tumorigenesis of Human Astrocytomas (Tumor Suppressor Genes/Antioncogenes/Brain Tumors/Neurofibromatosis/Colon Cancer) M
Proc. Nati. Acad. Sci. USA Vol. 86, pp. 7186-7190, September 1989 Medical Sciences Loss of distinct regions on the short arm of chromosome 17 associated with tumorigenesis of human astrocytomas (tumor suppressor genes/antioncogenes/brain tumors/neurofibromatosis/colon cancer) M. EL-AzOUZI*, R. Y. CHUNG*, G. E. FARMER*, R. L. MARTUZA*, P. McL. BLACKt, G. A. ROULEAUt, C. HETTLICH*, E. T. HEDLEY-WHYTE§, N. T. ZERVAS*, K. PANAGOPOULOS*, Y. NAKAMURA¶, J. F. GUSELLAt, AND B. R. SEIZINGER*tII *Molecular Neurooncology Laboratory, Neurosurgery Service, tMolecular Neurogenetics Laboratory, and §Neuropathology Laboratory, Massachusetts General Hospital, and Harvard Medical School, Boston, MA 02114; *Department of Neurosurgery, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA 02115; and lHoward Hughes Medical Institute, and University of Utah, Salt Lake City, UT 84132 Communicated by Richard L. Sidman, June 28, 1989 (received for review February 2, 1989) ABSTRACT Astrocytomas, including glioblastoma multi- differentiated astrocytomas and the glioblastoma multiforme. forme, represent the most frequent and deadly primary neo- Although some patients with anaplastic astrocytoma respond plasms of the human nervous system. Despite a number of well to chemotherapy and/or radiotherapy, other patients do previous cytogenetic and oncogene studies primarily focusing not (2). Anaplastic astrocytomas, therefore, may be com- on malignant astrocytomas, the primary mechanism of tumor posed of several distinct biological subgroups, which cannot initiation has remained obscure. The loss or inactivation of be detected by standard histopathological techniques (6, 7). "tumor suppressor" genes are thought to play a fundamental Thus, alternative diagnostic tools, such as genetic markers, role in the development ofmany human cancers. -
Supplementary Tables S1-S3
Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse) -
Analyzing ZNF16: an Understudied Gene
University of Texas at El Paso ScholarWorks@UTEP Open Access Theses & Dissertations 2020-01-01 Analyzing ZNF16: An Understudied Gene Chelsea L. George University of Texas at El Paso Follow this and additional works at: https://scholarworks.utep.edu/open_etd Part of the Biology Commons Recommended Citation George, Chelsea L., "Analyzing ZNF16: An Understudied Gene" (2020). Open Access Theses & Dissertations. 2969. https://scholarworks.utep.edu/open_etd/2969 This is brought to you for free and open access by ScholarWorks@UTEP. It has been accepted for inclusion in Open Access Theses & Dissertations by an authorized administrator of ScholarWorks@UTEP. For more information, please contact [email protected]. ANALYZING ZNF16: AN UNDERSTUDIED GENE CHELSEA L. GEORGE Master’s Program in Biological Sciences APPROVED: _______________________________________ Siddhartha Das, Ph.D., Chair _______________________________________ Laura A. Diaz-Martinez, Ph.D. _______________________________________ Anita Quintana, Ph.D. _______________________________________ Giulio Francia, Ph.D. ______________________________________ Stephen Crites, Ph.D. Dean of the Graduate School Copyright Ó by Chelsea George 2020 ANALYZING ZNF16: AN UNDERSTUDIED GENE by CHELSEA L. GEORGE, B.S. THESIS Presented to the Faculty of the Graduate School of The University of Texas at El Paso in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE Department of Biological Sciences THE UNIVERSITY OF TEXAS AT EL PASO May 2020 ACKNOWLEDGEMENTS I would like to thank Dr. Laura Diaz-Martinez for the time, advice, and encouragement she has poured into this project. She is an incredible mentor and I am honored to have had the chance to learn from her. We thank Dr. Sid Das for his support, Dr. -
A Chromosome-Centric Human Proteome Project (C-HPP) To
computational proteomics Laboratory for Computational Proteomics www.FenyoLab.org E-mail: [email protected] Facebook: NYUMC Computational Proteomics Laboratory Twitter: @CompProteomics Perspective pubs.acs.org/jpr A Chromosome-centric Human Proteome Project (C-HPP) to Characterize the Sets of Proteins Encoded in Chromosome 17 † ‡ § ∥ ‡ ⊥ Suli Liu, Hogune Im, Amos Bairoch, Massimo Cristofanilli, Rui Chen, Eric W. Deutsch, # ¶ △ ● § † Stephen Dalton, David Fenyo, Susan Fanayan,$ Chris Gates, , Pascale Gaudet, Marina Hincapie, ○ ■ △ ⬡ ‡ ⊥ ⬢ Samir Hanash, Hoguen Kim, Seul-Ki Jeong, Emma Lundberg, George Mias, Rajasree Menon, , ∥ □ △ # ⬡ ▲ † Zhaomei Mu, Edouard Nice, Young-Ki Paik, , Mathias Uhlen, Lance Wells, Shiaw-Lin Wu, † † † ‡ ⊥ ⬢ ⬡ Fangfei Yan, Fan Zhang, Yue Zhang, Michael Snyder, Gilbert S. Omenn, , Ronald C. Beavis, † # and William S. Hancock*, ,$, † Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, Boston, Massachusetts 02115, United States ‡ Stanford University, Palo Alto, California, United States § Swiss Institute of Bioinformatics (SIB) and University of Geneva, Geneva, Switzerland ∥ Fox Chase Cancer Center, Philadelphia, Pennsylvania, United States ⊥ Institute for System Biology, Seattle, Washington, United States ¶ School of Medicine, New York University, New York, United States $Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, NSW, Australia ○ MD Anderson Cancer Center, Houston, Texas, United States ■ Yonsei University College of Medicine, Yonsei University, -
Cell Culture-Based Profiling Across Mammals Reveals DNA Repair And
1 Cell culture-based profiling across mammals reveals 2 DNA repair and metabolism as determinants of 3 species longevity 4 5 Siming Ma1, Akhil Upneja1, Andrzej Galecki2,3, Yi-Miau Tsai2, Charles F. Burant4, Sasha 6 Raskind4, Quanwei Zhang5, Zhengdong D. Zhang5, Andrei Seluanov6, Vera Gorbunova6, 7 Clary B. Clish7, Richard A. Miller2, Vadim N. Gladyshev1* 8 9 1 Division of Genetics, Department of Medicine, Brigham and Women’s Hospital, Harvard 10 Medical School, Boston, MA, 02115, USA 11 2 Department of Pathology and Geriatrics Center, University of Michigan Medical School, 12 Ann Arbor, MI 48109, USA 13 3 Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, 14 MI 48109, USA 15 4 Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI 16 48109, USA 17 5 Department of Genetics, Albert Einstein College of Medicine, Bronx, NY 10128, USA 18 6 Department of Biology, University of Rochester, Rochester, NY 14627, USA 19 7 Broad Institute, Cambridge, MA 02142, US 20 21 * corresponding author: Vadim N. Gladyshev ([email protected]) 22 ABSTRACT 23 Mammalian lifespan differs by >100-fold, but the mechanisms associated with such 24 longevity differences are not understood. Here, we conducted a study on primary skin 25 fibroblasts isolated from 16 species of mammals and maintained under identical cell culture 26 conditions. We developed a pipeline for obtaining species-specific ortholog sequences, 27 profiled gene expression by RNA-seq and small molecules by metabolite profiling, and 28 identified genes and metabolites correlating with species longevity. Cells from longer-lived 29 species up-regulated genes involved in DNA repair and glucose metabolism, down-regulated 30 proteolysis and protein transport, and showed high levels of amino acids but low levels of 31 lysophosphatidylcholine and lysophosphatidylethanolamine. -
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. -
The Chromatin Associated Phf12 Protein Maintains Nucleolar Integrity And
MCB Accepted Manuscript Posted Online 12 December 2016 Mol. Cell. Biol. doi:10.1128/MCB.00522-16 Copyright © 2016, American Society for Microbiology. All Rights Reserved. 1 The chromatin associated Phf12 protein maintains nucleolar integrity and 2 prevents premature cellular senescence. Downloaded from 3 4 Running Title: Pf1 regulates ribosomal biogenesis 5 6 Richard Graveline 1, #, Katarzyna Marcinkiewicz 1, #, Seyun Choi 1, Marilène Paquet 2, http://mcb.asm.org/ 7 Wolfgang Wurst 3, Thomas Floss 3, and Gregory David 1, * 8 1. New York University School of Medicine, New York, NY, United States. 9 2. Faculté de Médecine Vétérinaire, Université de Montréal, Saint-Hyacinthe (Québec), 10 Canada 11 3. Helmholtz Zentrum München - German Research Center for Environmental Health, on February 2, 2017 by GSF Forschungszentrum F 12 Neuherberg, Germany 13 # Contributed equally 14 *CORRESPONDENCE: Gregory David 15 Dept. of Biochemistry and Molecular Pharmacology, MSB417 16 NYU Langone Medical Center 17 550 First Ave. 18 New York, NY10016. 19 [email protected] 20 Ph: 212-263-2926; Fax: 212-263-7133 21 22 23 KEYWORDS: Transcription; Ribosome; Pf1; Senescence; Nucleolus 24 25 Abstract 26 PF1, also known as PHF12 (plant homeodomain (PHD) zinc finger protein 12) is a member 27 of the PHD zinc finger family of proteins. PF1 associates with a chromatin interacting Downloaded from 28 protein complex comprised of MRG15, Sin3B, and HDAC1, that functions as a 29 transcriptional modulator. The biological function of Pf1 remains largely elusive. We 30 undertook the generation of Pf1 knockout mice to elucidate its physiological role. We 31 demonstrate that Pf1 is required for mid-to-late gestation viability. -
Control of Homologous Recombination by the HROB–MCM8–MCM9 Pathway
Downloaded from genesdev.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Control of homologous recombination by the HROB–MCM8–MCM9 pathway Nicole Hustedt,1,7 Yuichiro Saito,2 Michal Zimmermann,1,8 Alejandro Álvarez-Quilón,1 Dheva Setiaputra,1 Salomé Adam,1 Andrea McEwan,1 Jing Yi Yuan,1 Michele Olivieri,1,3 Yichao Zhao,1,3 Masato T. Kanemaki,2,4 Andrea Jurisicova,1,5,6 and Daniel Durocher1,3 1Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario M5G 1X5, Canada; 2Department of Chromosome Science, National Institute of Genetics, Mishima, Shizuoka 411-8540, Japan; 3Department of Molecular Genetics, University of Toronto, Toronto, Ontario M5S 1A8, Canada; 4Department of Genetics, SOKENDAI, Mishima, Shizuoka 411-8540, Japan; 5Department of Physiology, University of Toronto, Toronto, Ontario M5S 1A8, Canada; 6Department of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario M5G 0D8, Canada DNA repair by homologous recombination (HR) is essential for genomic integrity, tumor suppression, and the for- mation of gametes. HR uses DNA synthesis to repair lesions such as DNA double-strand breaks and stalled DNA replication forks, but despite having a good understanding of the steps leading to homology search and strand in- vasion, we know much less of the mechanisms that establish recombination-associated DNA polymerization. Here, we report that C17orf53/HROB is an OB-fold-containing factor involved in HR that acts by recruiting the MCM8– MCM9 helicase to sites of DNA damage to promote DNA synthesis. Mice with targeted mutations in Hrob are infertile due to depletion of germ cells and display phenotypes consistent with a prophase I meiotic arrest. -
Leveraging Large-Scale Datasets to Understand
LEVERAGING LARGE-SCALE DATASETS TO UNDERSTAND THE INTERACTION BETWEEN THE GENOME AND THE EPIGENOME by Leandros Boukas A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy. Baltimore, Maryland June, 2020 c 2020 Leandros Boukas All rights reserved Abstract Epigenetics is typically described as a layer of molecular information above and beyond the DNA sequence. While this conceptualization is certainly ac- curate to some extent, there is also a tight connection between the genome and the epigenome, as the basic components of the epigenetic machinery (EM) are DNA-encoded. This thesis focuses on four such genetic components: genes encoding for the proteins of the histone machinery, genes encoding for the pro- teins of the DNA methylation machinery, genes encoding for chromatin remod- elers, and CpG dinucleotides. We first perform a systematic analysis of all human EM genes, and characterize them with respect to their tolerance to variation, both at the whole-gene level, and the local, protein domain level. We then discover a systems-level property (co-expression), that is specifically exhibited by a large subset of variation-intolerant EM genes, and may be par- ticularly relevant to their involvement in neurodevelopment. Finally, we shift our focus on the CpG dinucleotides. We show that a high promoter CpG density is not merely a generic feature of human promoters, but is preferentially en- ii ABSTRACT countered at the promoters of the most loss-of-function intolerant genes. This coupling calls into question the prevailing view that CpG islands are not sub- ject to selection.