Human Diseases of the SSU Processome☆
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Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
(TEX) Genes: a Review Focused on Spermatogenesis and Male Fertility
Bellil et al. Basic and Clinical Andrology (2021) 31:9 https://doi.org/10.1186/s12610-021-00127-7 REVIEW ARTICLE Open Access Human testis-expressed (TEX) genes: a review focused on spermatogenesis and male fertility Hela Bellil1, Farah Ghieh2,3, Emeline Hermel2,3, Béatrice Mandon-Pepin2,3 and François Vialard1,2,3* Abstract Spermatogenesis is a complex process regulated by a multitude of genes. The identification and characterization of male-germ-cell-specific genes is crucial to understanding the mechanisms through which the cells develop. The term “TEX gene” was coined by Wang et al. (Nat Genet. 2001; 27: 422–6) after they used cDNA suppression subtractive hybridization (SSH) to identify new transcripts that were present only in purified mouse spermatogonia. TEX (Testis expressed) orthologues have been found in other vertebrates (mammals, birds, and reptiles), invertebrates, and yeasts. To date, 69 TEX genes have been described in different species and different tissues. To evaluate the expression of each TEX/tex gene, we compiled data from 7 different RNA-Seq mRNA databases in humans, and 4 in the mouse according to the expression atlas database. Various studies have highlighted a role for many of these genes in spermatogenesis. Here, we review current knowledge on the TEX genes and their roles in spermatogenesis and fertilization in humans and, comparatively, in other species (notably the mouse). As expected, TEX genes appear to have a major role in reproduction in general and in spermatogenesis in humans but also in all mammals such as the mouse. Most of them are expressed specifically or predominantly in the testis. -
Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery
Constructing and Analyzing Biological Interaction Networks for Knowledge Discovery Dissertation Presented in Partial Fulfillment of the Requirements for the Degree Doctor of Philosophy in the Graduate School of The Ohio State University By Duygu Ucar Graduate Program in Computer Science and Engineering The Ohio State University 2009 Dissertation Committee: Srinivasan Parthasarathy, Advisor Yusu Wang Umit Catalyurek c Copyright by Duygu Ucar 2009 ABSTRACT Many biological datasets can be effectively modeled as interaction networks where nodes represent biological entities of interest such as proteins, genes, or complexes and edges mimic associations among them. The study of these biological network structures can provide insight into many biological questions including the functional characterization of genes and gene products, the characterization of DNA-protein bindings, and the under- standing of regulatory mechanisms. Therefore, the task of constructing biological interac- tion networks from raw data sets and exploiting information from these networks is critical, but is also fraught with challenges. First, the network structure is not always known in a priori; the structure should be inferred from raw and heterogeneous biological data sources. Second, biological networks are noisy (containing unreliable interactions) and incomplete (missing real interactions) which makes the task of extracting useful information difficult. Third, typically these networks have non-trivial topological properties (e.g., uneven degree distribution, small world) that limit the effectiveness of traditional knowledge discovery al- gorithms. Fourth, these networks are usually dynamic and investigation of their dynamics is essential to understand the underlying biological system. In this thesis, we address these issues by presenting a set of computational techniques that we developed to construct and analyze three specific types of biological interaction networks: protein-protein interaction networks, gene co-expression networks, and regulatory networks. -
Making Ribosomes: Biochemical and Structural Studies of Early Ribosome Biogenesis in Yeast Malik Chaker-Margot
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 Making Ribosomes: Biochemical and Structural Studies of Early Ribosome Biogenesis in Yeast Malik Chaker-Margot Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons Recommended Citation Chaker-Margot, Malik, "Making Ribosomes: Biochemical and Structural Studies of Early Ribosome Biogenesis in Yeast" (2018). Student Theses and Dissertations. 472. https://digitalcommons.rockefeller.edu/student_theses_and_dissertations/472 This Thesis is brought to you for free and open access by Digital Commons @ RU. It has been accepted for inclusion in Student Theses and Dissertations by an authorized administrator of Digital Commons @ RU. For more information, please contact [email protected]. MAKING RIBOSOMES: BIOCHEMICAL AND STRUCTURAL STUDIES OF EARLY RIBOSOME BIOGENESIS IN YEAST A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Malik Chaker-Margot June 2018 © Copyright by Malik Chaker-Margot 2018 MAKING RIBOSOMES: BIOCHEMICAL AND STRUCTURAL STUDIES OF EARLY RIBOSOME BIOGENESIS IN YEAST Malik Chaker-Margot, Ph.D. The Rockefeller University 2018 The ribosome is a complex macromolecule responsible for the synthesis of all proteins in the cell. In yeast, it is made of four ribosomal RNAs and 79 proteins, asymmetrically divided in a small and large subunit. In a growing yeast cell, more than 2000 ribosomes are assembled every minute. The ribosome is assembled through a highly complex process involving more than 200 trans-acting factors. Ribosome assembly begins in the nucleolus where RNA polymerase I transcribes a long polycistronic RNA, the 35S pre- ribosomal RNA which contains the sequences for three of the four ribosomal RNAs, as well as spacer sequences which are transcribed and removed during assembly. -
Pathogenic Variants in the DEAH-Box RNA Helicase DHX37 Are a Frequent Cause of 46,XY Gonadal Dysgenesis and 46,XY Testicular Regression Syndrome
ARTICLE © American College of Medical Genetics and Genomics Pathogenic variants in the DEAH-box RNA helicase DHX37 are a frequent cause of 46,XY gonadal dysgenesis and 46,XY testicular regression syndrome Ken McElreavey, PhD 1, Anne Jorgensen, PhD 2, Caroline Eozenou, PhD1, Tiphanie Merel, MSc1, Joelle Bignon-Topalovic, BSc1, Daisylyn Senna Tan, BSc3, Denis Houzelstein, PhD 1, Federica Buonocore, PhD 4, Nick Warr, PhD 5, Raissa G. G. Kay, PhD5, Matthieu Peycelon, MD, PhD 6,7,8, Jean-Pierre Siffroi, MD, PhD6, Inas Mazen, MD9, John C. Achermann, MD, PhD 4, Yuliya Shcherbak, MD10, Juliane Leger, MD, PhD11, Agnes Sallai, MD 12, Jean-Claude Carel, MD, PhD 11, Laetitia Martinerie, MD, PhD11, Romain Le Ru, MD13, Gerard S. Conway, MD, PhD14, Brigitte Mignot, MD15, Lionel Van Maldergem, MD, PhD 16, Rita Bertalan, MD, PhD17, Evgenia Globa, MD, PhD 18, Raja Brauner, MD, PhD19, Ralf Jauch, PhD 3, Serge Nef, PhD 20, Andy Greenfield, PhD5 and Anu Bashamboo, PhD1 Purpose: XY individuals with disorders/differences of sex devel- specifically associated with gonadal dysgenesis and TRS. opment (DSD) are characterized by reduced androgenization Consistent with a role in early testis development, DHX37 is caused, in some children, by gonadal dysgenesis or testis regression expressed specifically in somatic cells of the developing human during fetal development. The genetic etiology for most patients and mouse testis. with 46,XY gonadal dysgenesis and for all patients with testicular Conclusion: DHX37 pathogenic variants are a new cause of an regression syndrome (TRS) is unknown. autosomal dominant form of 46,XY DSD, including gonadal Methods: We performed exome and/or Sanger sequencing in 145 dysgenesis and TRS, showing that these conditions are part of a individuals with 46,XY DSD of unknown etiology including clinical spectrum. -
P53-Mediated Biliary Defects Caused by Knockdown of Cirh1a, the Zebrafish Homolog of the Gene Responsible for North American Indian Childhood Cirrhosis
p53-Mediated Biliary Defects Caused by Knockdown of cirh1a, the Zebrafish Homolog of the Gene Responsible for North American Indian Childhood Cirrhosis Benjamin J. Wilkins1, Kristin Lorent2, Randolph P. Matthews3, Michael Pack2* 1 Department of Pathology and Laboratory Medicine, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America, 2 Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, United States of America, 3 Department of Pediatrics, Children’s Hospital of Philadelphia, Philadelphia, Pennsylvania, United States of America Abstract North American Indian Childhood Cirrhosis (NAIC) is a rare, autosomal recessive, progressive cholestatic disease of infancy affecting the Cree-Ojibway first Nations of Quebec. All NAIC patients are homozygous for a missense mutation (R565W) in CIRH1A, the human homolog of the yeast nucleolar protein Utp4. Utp4 is part of the t-Utp subcomplex of the small subunit (SSU) processome, a ribonucleoprotein complex required for ribosomal RNA processing and small subunit assembly. NAIC has thus been proposed to be a primary ribosomal disorder (ribosomopathy); however, investigation of the pathophysiologic mechanism of this disease has been hindered by lack of an animal model. Here, using a morpholino oligonucleotide (MO)-based loss-of-function strategy, we have generated a model of NAIC in the zebrafish, Danio rerio. Zebrafish Cirhin shows substantial homology to the human homolog, and cirh1a mRNA is expressed in developing hepatocytes and biliary epithelial cells. Injection of two independent MOs directed against cirh1a at the one-cell stage causes defects in canalicular and biliary morphology in 5 dpf larvae. In addition, 5 dpf Cirhin-deficient larvae have dose-dependent defects in hepatobiliary function, as assayed by the metabolism of an ingested fluorescent lipid reporter. -
The Synthetic Genetic Interaction Spectrum of Essential Genes
LETTERS The synthetic genetic interaction spectrum of essential genes Armaity P Davierwala1, Jennifer Haynes2, Zhijian Li1,2, Rene´e L Brost1, Mark D Robinson1, Lisa Yu3, Sanie Mnaimneh1, Huiming Ding1, Hongwei Zhu1, Yiqun Chen1, Xin Cheng1, Grant W Brown3, Charles Boone1,2,4, Brenda J Andrews1,2,4 & Timothy R Hughes1,2,4 The nature of synthetic genetic interactions involving essential mapping these genetic interactions2,3. Essential gene function is also genes (those required for viability) has not been previously buffered by both nonessential and other essential genes because hypomorphic (partially functional) alleles of essential genes often http://www.nature.com/naturegenetics examined in a broad and unbiased manner. We crossed yeast strains carrying promoter-replacement alleles for more than have synthetic lethal interactions with deletion alleles of nonessential half of all essential yeast genes1 to a panel of 30 different genes and hypomorphic alleles of other essential genes2,3,7.Genetic mutants with defects in diverse cellular processes. The resulting interactions among essential genes have not been examined system- genetic network is biased toward interactions between atically and objectively because of the inherent difficulty in creating functionally related genes, enabling identification of a and working with hypomorphic alleles. previously uncharacterized essential gene (PGA1) required for specific functions of the endoplasmic reticulum. But there are also many interactions between genes with dissimilar functions, Query gene (crossed to array) Gene Ontology labels (array strains) suggesting that individual essential genes are required for buffering many cellular processes. The most notable feature of the essential synthetic genetic network is that it has an interaction density five times that of nonessential synthetic 2005 Nature Publishing Group Group 2005 Nature Publishing genetic networks2,3, indicating that most yeast genetic © -linked glycosylation -linked interactions involve at least one essential gene. -
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. -
Agricultural University of Athens
ΓΕΩΠΟΝΙΚΟ ΠΑΝΕΠΙΣΤΗΜΙΟ ΑΘΗΝΩΝ ΣΧΟΛΗ ΕΠΙΣΤΗΜΩΝ ΤΩΝ ΖΩΩΝ ΤΜΗΜΑ ΕΠΙΣΤΗΜΗΣ ΖΩΙΚΗΣ ΠΑΡΑΓΩΓΗΣ ΕΡΓΑΣΤΗΡΙΟ ΓΕΝΙΚΗΣ ΚΑΙ ΕΙΔΙΚΗΣ ΖΩΟΤΕΧΝΙΑΣ ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ ΑΘΗΝΑ 2020 ΔΙΔΑΚΤΟΡΙΚΗ ΔΙΑΤΡΙΒΗ Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Genome-wide association analysis and gene network analysis for (re)production traits in commercial broilers ΕΙΡΗΝΗ Κ. ΤΑΡΣΑΝΗ ΕΠΙΒΛΕΠΩΝ ΚΑΘΗΓΗΤΗΣ: ΑΝΤΩΝΙΟΣ ΚΟΜΙΝΑΚΗΣ Τριμελής Επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Επταμελής εξεταστική επιτροπή: Aντώνιος Κομινάκης (Αν. Καθ. ΓΠΑ) Ανδρέας Κράνης (Eρευν. B, Παν. Εδιμβούργου) Αριάδνη Χάγερ (Επ. Καθ. ΓΠΑ) Πηνελόπη Μπεμπέλη (Καθ. ΓΠΑ) Δημήτριος Βλαχάκης (Επ. Καθ. ΓΠΑ) Ευάγγελος Ζωίδης (Επ.Καθ. ΓΠΑ) Γεώργιος Θεοδώρου (Επ.Καθ. ΓΠΑ) 2 Εντοπισμός γονιδιωματικών περιοχών και δικτύων γονιδίων που επηρεάζουν παραγωγικές και αναπαραγωγικές ιδιότητες σε πληθυσμούς κρεοπαραγωγικών ορνιθίων Περίληψη Σκοπός της παρούσας διδακτορικής διατριβής ήταν ο εντοπισμός γενετικών δεικτών και υποψηφίων γονιδίων που εμπλέκονται στο γενετικό έλεγχο δύο τυπικών πολυγονιδιακών ιδιοτήτων σε κρεοπαραγωγικά ορνίθια. Μία ιδιότητα σχετίζεται με την ανάπτυξη (σωματικό βάρος στις 35 ημέρες, ΣΒ) και η άλλη με την αναπαραγωγική -
Dependent Gene Expression in Wall Lizard Embryos
Received: 18 January 2018 Revised: 23 April 2018 Accepted: 26 April 2018 DOI: 10.1002/jez.2175 RESEARCH ARTICLE Developmental plasticity in reptiles: Insights from temperature-dependent gene expression in wall lizard embryos Nathalie Feiner1,2 Alfredo Rago1 Geoffrey M. While3 Tobias Uller1,2 1Department of Biology, Lund University, Lund, Sweden Abstract 2Department of Zoology, University of Oxford, Many features of the development of reptiles are affected by temperature, but very little is known Oxford, UK about how incubation temperature affects gene expression. Here, we provide a detailed case 3School of Biological Sciences, University of study of gene expression profiles in common wall lizard (Podarcis muralis) embryos developing at Tasmania, Tasmania, Australia stressfully low (15◦C) versus benign (24◦C) temperature. For maximum comparability between Correspondence the two temperature regimes, we selected a precise developmental stage early in embryogene- Nathalie Feiner, Sölvegatan 37, 223-62 Lund, sis defined by the number of somites. We used a split-clutch design and lizards from four differ- Sweden. Email: [email protected] ent populations to evaluate the robustness of temperature-responsive gene expression profiles. Embryos incubated at stressfully low incubation temperature expressed on average 20% less total RNA than those incubated at benign temperatures, presumably reflecting lower rates of transcrip- tion at cool temperature. After normalizing for differences in total amounts of input RNA, we find that approximately 50% of all transcripts show significant expression differences between the two incubation temperatures. Transcripts with the most extreme changes in expression profiles are associated with transcriptional and translational regulation and chromatin remodeling, suggest- ing possible epigenetic mechanisms underlying acclimation of early embryos to cool temperature. -
Tissue Specific Roles for the Ribosome Biogenesis Factor Wdr43 in Zebrafish Development
Tissue Specific Roles for the Ribosome Biogenesis Factor Wdr43 in Zebrafish Development Chengtian Zhao1,2*, Viktoria Andreeva1, Yann Gibert1, Melissa LaBonty1, Victoria Lattanzi1, Shubhangi Prabhudesai1, Yi Zhou3, Leonard Zon3, Kathleen L. McCann4, Susan Baserga4,5, Pamela C. Yelick1* 1 Department of Oral and Maxillofacial Pathology, Division of Craniofacial and Molecular Genetics, Tufts University, Boston, Massachusetts, United States of America, 2 Institute of Evolution and Marine Biodiversity, Ocean University of China, Qingdao, China, 3 Children’s Hospital Boston and Harvard Medical School, Boston, Massachusetts, United States of America, 4 Department of Genetics, Yale School of Medicine, New Haven, Connecticut, United States of America, 5 Departments of Molecular Biophysics & Biochemistry and Therapeutic Radiology, Yale School of Medicine, New Haven, Connecticut, United States of America Abstract During vertebrate craniofacial development, neural crest cells (NCCs) contribute to most of the craniofacial pharyngeal skeleton. Defects in NCC specification, migration and differentiation resulting in malformations in the craniofacial complex are associated with human craniofacial disorders including Treacher-Collins Syndrome, caused by mutations in TCOF1. It has been hypothesized that perturbed ribosome biogenesis and resulting p53 mediated neuroepithelial apoptosis results in NCC hypoplasia in mouse Tcof1 mutants. However, the underlying mechanisms linking ribosome biogenesis and NCC development remain poorly understood. Here we report a new zebrafish mutant, fantome (fan), which harbors a point mutation and predicted premature stop codon in zebrafish wdr43, the ortholog to yeast UTP5. Although wdr43 mRNA is widely expressed during early zebrafish development, and its deficiency triggers early neural, eye, heart and pharyngeal arch defects, later defects appear fairly restricted to NCC derived craniofacial cartilages. -
Exome Sequencing Reanalysis on a Manitoba Cohort
Harnessing the Power of Old Data: Exome Sequencing Reanalysis on a Manitoba Cohort by Taryn Bryn Tristan Athey A Thesis submitted to the Faculty of Graduate Studies of The University of Manitoba in partial fulfilment of the requirements of the degree of MASTER OF SCIENCE Department of Biochemistry and Medical Genetics Genetic Counselling Program Max Rady College of Medicine Rady Faculty of Health Sciences University of Manitoba Winnipeg, Manitoba, Canada Copyright ©2020 by Taryn Athey ABSTRACT Rare disorders are thought to affect 1 in 12 Canadians, yet more than 50% of these patients currently do not have a diagnosis. Undiagnosed and misdiagnosed patients with rare disorders cause a significant burden to the healthcare system and the uncertainty often greatly affects their quality of life. Exome sequencing (ES) is an unbiased genetic testing method that sequences most of the known coding regions in the genome. ES is used when targeted methods have failed to provide a diagnosis and has been found to lead to a definitive diagnosis in 25-50% of cases, depending on the criteria used for case selection. Clinical ES is limited by the bioinformatics method used to call variants, the interpretation of those variants, and the knowledge of gene-disease associations at the time of interpretation. Therefore, it is not surprising that systematic reanalysis of ES data at regular intervals has been shown to provide a diagnosis in an additional 10-15% of cases. ES reanalysis is not routinely done for Manitoba patients; for this reason, we have developed a pilot project to reanalyze the ES data for patients who previously had non-diagnostic ES.