Nubp2 Is Required for Cranial Neural Crest Survival in the Mouse. 1

Total Page:16

File Type:pdf, Size:1020Kb

Nubp2 Is Required for Cranial Neural Crest Survival in the Mouse. 1 bioRxiv preprint doi: https://doi.org/10.1101/656652; this version posted May 31, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Nubp2 is required for cranial neural crest survival in the mouse. 2 Andrew DiStasio1, David Paulding1, Praneet Chatuverdi2, Rolf W. Stottmann1,2,3 # 3 1Divisions of Human Genetics and 2Developmental Biology, Cincinnati Children’s Hospital Medical Center, 4 3Department of Pediatrics, University of Cincinnati, Cincinnati, OH, 45229, USA. 5 6 # Author for correspondence 7 [email protected] 8 9 Keywords: 10 Nubp2, neural crest, ENU mutagenesis, cilia 11 12 13 Summary Statement 14 An ENU screen identifies a novel allele of Nubp2 which is then demonstrated to be required for cranial 15 neural crest survival and proper midfacial development. 16 17 18 19 20 21 bioRxiv preprint doi: https://doi.org/10.1101/656652; this version posted May 31, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 22 Abstract 23 The N-ethyl-N-nitrosourea (ENU) forward genetic screen is a useful tool for the unbiased discovery of 24 novel mechanisms regulating developmental processes. We recovered the dorothy mutation in such a 25 screen designed to recover recessive mutations affecting craniofacial development in the mouse. Dorothy 26 embryos die prenatally and exhibit many striking phenotypes commonly associated with ciliopathies, 27 including a severe midfacial clefting phenotype. We used exome sequencing to discover a missense 28 mutation in Nucleotide Binding Protein 2 (Nubp2) to be causative. This finding was confirmed with a 29 complementation analysis between the dorothy allele and a Nubp2 null allele (Nubp2Null). We demonstrate 30 that Nubp2 is indispensable for embryogenesis. NUBP2 is implicated in both the Cytosolic Iron/Sulfur 31 cluster Assembly (CIA) pathway and in the negative regulation of ciliogenesis. Conditional ablation of 32 Nubp2 in the neural crest lineage with Wnt1-cre recapitulates the dorothy craniofacial phenotype. Using 33 this model, we found that the proportion of ciliated cells in the craniofacial mesenchyme was unchanged, 34 and that markers of the Shh, Fgf, and Bmp signaling pathways are unaltered. Finally, we show that the 35 phenotype results from a marked increase in apoptosis within the craniofacial mesenchyme. 36 37 38 bioRxiv preprint doi: https://doi.org/10.1101/656652; this version posted May 31, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 39 Introduction 40 Vertebrate craniofacial development is a dynamic process highly dependent on a fascinating cell 41 population known as the neural crest. Craniofacial neural crest cells (CNCC) are a multipotent and 42 migratory cell type which delaminate from the dorsal aspect of the closing neural tube and travel 43 ventrolaterally into the frontonasal process (FNP) and pharyngeal arches (PAs) where they become the 44 mesenchyme of the emerging facial primordia [1, 2]. On each side of the mouse face, proliferation of the 45 post-migratory neural crest causes medial and lateral nasal processes (MNP, LNP) to swell from the FNP 46 around embryonic day (E) 10, resulting in paired horseshoe-shaped outgrowths with visible depressed 47 nasal pits in the center. The outgrowth of these processes is coupled with that of the maxillary processes 48 (MxPs) to bring the three primordia into contact [3, 4]. This contact and the subsequent fusion of the MNP, 49 LNP, and MxP create the nostrils and upper lip [5]. As development continues past E10.5, further growth 50 brings the paired MNPs into contact at the midface, where they fuse and give rise to the nasal septum, 51 philtrum, and premaxilla. 52 During these early stages of craniofacial development, the CNCC rely on signaling cues from 53 surrounding tissues to regulate their survival and the proliferation required to properly expand the facial 54 primordia. Sonic Hedgehog (SHH) and Fibroblast Growth Factor 8 (FGF8) secreted by the surface 55 ectoderm maintain CNCC survival and induce their proliferation [6-9]. Loss of these signals, or an inability 56 of CNCC to properly transduce ligand binding within the cell, impairs the outgrowth and subsequent fusion 57 of the facial primordia, often ultimately leading to midline defects of the face [10]. The CNCC are also a 58 particularly vulnerable cell population as evidenced by their marked susceptibility to ribosome biogenesis 59 insults, sensitivity to the teratogenic effects of alcohol and many examples of genetic mutations leading to 60 elevated CNCC apoptosis [11-14] [15-17]. 61 Despite significant advances in understanding the signaling pathways and transcriptional networks 62 involved in craniofacial developmental disorders, their etiology remains unclear in many cases. Unbiased 63 forward genetics approaches in model organisms allow discovery of previously unexamined roles for genes 64 and pathways in embryogenesis, providing new insights and angles for investigation [18]. Here we report 65 on a new allele from an N-ethyl-N-nitrosourea (ENU) screen in the mouse that is integral to craniofacial bioRxiv preprint doi: https://doi.org/10.1101/656652; this version posted May 31, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 66 development. We found the causal mutation to be in the gene nucleotide binding protein 2 (Nubp2). Nubp2 67 is a highly conserved P-loop NTPase first described in early sequencing and mapping of cDNA isolated 68 from E7.5 mouse embryos [19]. In Saccharomyces cerevisiae it was identified as cytosolic Fe-S cluster 69 deficient (Cfd1) in a screen for genes able to convert Iron regulatory protein 1 into c-aconitase [20] [21]. 70 These and subsequent studies in yeast and animal cell lines established that Nubp2 is an integral 71 component of the cytosolic iron-Sulphur (Fe-S) cluster assembly (CIA) pathway where it acts along with 72 its homologous binding partner Nubp1 as a scaffold for transfer of the Fe-S cofactor to non-mitochondrial 73 apoproteins [22-24]. Later studies revealed that knockdown of Nubp1 alone, or of both Nubp1 and Nubp2, 74 led to excessive centrosome duplication in vitro [25]. Further work indicated that silencing of Nubp1 and 75 Nubp2 in cell culture led to supernumerary cilia formation [26]. An ENU screen isolated a mouse allele of 76 Nubp1 with interrupted lung budding and centriole over-duplication [27]. 77 This implication of Nubp2 in regulation of centriole duplication and ciliary dynamics, and the 78 importance of the primary cilia to intercellular signaling, led us to hypothesize dysregulation of ciliogenesis 79 would lead to interruptions in crucial CNCC signaling pathways, resulting in loss of mitogenic and/or 80 survival signals and subsequent midfacial fusion defects. On the contrary, here we demonstrate that loss 81 of Nubp2 from the CNCC does not lead to ciliogenesis or signaling defects, but causes a rapid onset of 82 apoptosis throughout the craniofacial mesenchyme following CNCC migration which underlies the 83 distinctive craniofacial presentation of the Dorothy mutant. This represents the first example of a role for 84 CIA pathway components in midfacial development. 85 Materials and Methods 86 Animal husbandry 87 All animals were housed and cared for in accordance with the Guide for the Care and Use of Laboratory Animals 88 (National Institutes of Health), and all animal-associated activity was approved by the Institutional Animal Care and 89 Use Committee of the Cincinnati Children’s Hospital Medical Center (Protocol # IACUC2016-0098). All animals were 90 monitored daily by registered veterinary technicians and additional care provided where necessary. Euthanasia was 91 performed via Isoflurane sedation followed by dislocation of the cervical vertebrae and secondary euthanasia. Mice 92 were housed in ventilated cages provided with automated water supply and Purina 5010 Laboratory Rodent Chow bioRxiv preprint doi: https://doi.org/10.1101/656652; this version posted May 31, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 93 ad libitum. During timed mating, noon of the day a copulation plug was detected was considered embryonic day (E) 94 0.5 (E0.5). 95 ENU mutagenesis 96 ENU mutagenesis was performed as previously published [18]. Wildtype C57BL/6J (B6; Jackson Laboratory, Bar 97 Harbor ME) 6- to 8-week-old males were given a fractionated dose of ENU (three weekly dosages of 90-100 mg/kg 98 ENU, Sigma). Mutagenized males were bred with Tg(Etv1-EGFP)B2192 GSat females (FVB/N TaC background) as part 99 of a larger effort to identify potential mutants in cortical neuron patterning [28]. Following a three-generation 100 backcross breeding scheme [18], G3 litters were dissected at late embryonic stages to detect gross developmental 101 anomalies. The allele was propagated with test crosses onto the FVB background (to facilitate mapping if needed) 102 until the causal allele was identified. 103 Variant detection 104 Exome sequencing was carried out in the CCHMC Genetic Variation and Gene Discovery Core Facility (Cincinnati, 105 OH, USA). An exome library was prepared from genomic DNA using the NimbleGen EZ Exome V2 kit (Madison, WI, 106 USA). Sequencing of the resulting exome library was done with an Illumina Hi Seq 2000 (San Diego, CA, USA). The 107 Broad Institute’s GATK algorithm was used for alignment and variant detection. Variants were then filtered as 108 described in Table 1. Mutations were validated by Sanger sequencing. 109 Alleles and genotyping 110 Nubp2Dor (Nubp2 c.626T>A; Nubp2V209D; dorothy) was discovered in an ENU mutagenesis screen as described above 111 and maintained on a mixed background.
Recommended publications
  • Download Download
    Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/)
    [Show full text]
  • Classification and Evolution of P-Loop Gtpases and Related Atpases Detlefd.Leipe,Yurii.Wolf,Eugenev.Koonin*Andl.Aravind
    doi:10.1006/jmbi.2001.5378availableonlineathttp://www.idealibrary.comon J. Mol. Biol. (2002) 317, 41±72 Classification and Evolution of P-loop GTPases and Related ATPases DetlefD.Leipe,YuriI.Wolf,EugeneV.Koonin*andL.Aravind National Center for Sequences and available structures were compared for all the widely dis- Biotechnology Information tributed representatives of the P-loop GTPases and GTPase-related pro- National Library of Medicine teins with the aim of constructing an evolutionary classi®cation for this National Institutes of Health superclass of proteins and reconstructing the principal events in their Bethesda, MD 20894, USA evolution. The GTPase superclass can be divided into two large classes, each of which has a unique set of sequence and structural signatures (synapomorphies). The ®rst class, designated TRAFAC (after translation factors) includes enzymes involved in translation (initiation, elongation, and release factors), signal transduction (in particular, the extended Ras- like family), cell motility, and intracellular transport. The second class, designated SIMIBI (after signal recognition particle, MinD, and BioD), consists of signal recognition particle (SRP) GTPases, the assemblage of MinD-like ATPases, which are involved in protein localization, chromo- some partitioning, and membrane transport, and a group of metabolic enzymes with kinase or related phosphate transferase activity. These two classes together contain over 20 distinct families that are further subdi- vided into 57 subfamilies (ancient lineages) on the basis of conserved sequence motifs, shared structural features, and domain architectures. Ten subfamilies show a universal phyletic distribution compatible with presence in the last universal common ancestor of the extant life forms (LUCA). These include four translation factors, two OBG-like GTPases, the YawG/YlqF-like GTPases (these two subfamilies also consist of pre- dicted translation factors), the two signal-recognition-associated GTPases, and the MRP subfamily of MinD-like ATPases.
    [Show full text]
  • NUBP2 (NM 012225) Human Tagged ORF Clone Lentiviral Particle Product Data
    OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for RC203571L4V NUBP2 (NM_012225) Human Tagged ORF Clone Lentiviral Particle Product data: Product Type: Lentiviral Particles Product Name: NUBP2 (NM_012225) Human Tagged ORF Clone Lentiviral Particle Symbol: NUBP2 Synonyms: CFD1; CIAO6; NBP 2; NUBP1 Vector: pLenti-C-mGFP-P2A-Puro (PS100093) ACCN: NM_012225 ORF Size: 813 bp ORF Nucleotide The ORF insert of this clone is exactly the same as(RC203571). Sequence: OTI Disclaimer: The molecular sequence of this clone aligns with the gene accession number as a point of reference only. However, individual transcript sequences of the same gene can differ through naturally occurring variations (e.g. polymorphisms), each with its own valid existence. This clone is substantially in agreement with the reference, but a complete review of all prevailing variants is recommended prior to use. More info OTI Annotation: This clone was engineered to express the complete ORF with an expression tag. Expression varies depending on the nature of the gene. RefSeq: NM_012225.1 RefSeq Size: 1408 bp RefSeq ORF: 816 bp Locus ID: 10101 UniProt ID: Q9Y5Y2, B7Z6P0 MW: 28.8 kDa Gene Summary: This gene encodes an adenosine triphosphate (ATP) and metal-binding protein that is required for the assembly of cyotosolic iron-sulfur proteins. The encoded protein functions in a heterotetramer with nucleotide-binding protein 1 (NUBP1). Alternative splicing results in multiple transcript variants. [provided by RefSeq, Oct 2013] This product is to be used for laboratory only.
    [Show full text]
  • Download Special Issue
    BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Copyright © 2014 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “BioMed Research International.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Contents Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data,JuliaTzu-YaWeng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Volume2014,ArticleID814092,3pages Evolution of Network Biomarkers from Early to Late Stage Bladder Cancer Samples,Yung-HaoWong, Cheng-Wei Li, and Bor-Sen Chen Volume 2014, Article ID 159078, 23 pages MicroRNA Expression Profiling Altered by Variant Dosage of Radiation Exposure,Kuei-FangLee, Yi-Cheng Chen, Paul Wei-Che Hsu, Ingrid Y. Liu, and Lawrence Shih-Hsin Wu Volume2014,ArticleID456323,10pages EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction, Chih-Hao Lu, Chin-Sheng
    [Show full text]
  • Type of the Paper (Article
    Supplementary Methods Microarray Experiments (Single Color Mode) The Microarray utilized in this study represents a refined version of the Whole Human Genome Oligo Microarray 4 × 44K v2 (Design ID 026652, Agilent Technologies, (Santa Clara, CA, USA), called ‘054261On1M’ (Design ID 066335) developed at the Research Core Unit Transcriptomics (RCUT) of Hannover Medical School (Hannover, Germany). The microarray design was created in Agilent’s eArray portal using a 1 × 1 M design format for mRNA expression as template. All non-control probes of design ID 026652 have been printed five times within a region comprising a total of 181,560 Features (170 columns × 1068 rows). Four of such regions were placed within one 1 M region giving rise to four microarray fields per slide to be hybridized individually (Customer Specified Feature Layout). Control probes required for proper Feature Extraction software operation were determined and placed automatically by eArray using recommended default settings. An amount of 250 ng of total RNA were used for synthesis of aminoallyl-UTP-modified (aaUTP) cRNA with the ‘Quick Amp Labeling kit, no dye’ (#5190-0447, Agilent Technologies) according to the manufacturer’s recommendations, except that reaction volumes were quartered and contained NTP- mix was exchanged by NTP Set (ATP, CTP, GTP, UTP) and aminoallyl-UTP (Fermentas, Thermo Fisher Scientific; Waltham, MA, USA); order numbers R1091, R0481, respectively). Final NTP concentrations used for in-vitro transcription were 2.5 mM (ATP, CTP, GTP), 1.88 mM UTP, and 0.62 mM aaUTP. The labeling of aaUTP-cRNA was performed by use of Alexa Fluor 555 Reactive Dye (#A32756; LifeTechnologies) as described in the Amino Allyl MessageAmp™ II Kit Manual (#AM1753; Life Technologies, Carlsbad, CA, USA) except that reaction volumes were quartered.
    [Show full text]
  • SPEF2 Functions in Microtubule-Mediated Transport in Elongating Spermatids to Ensure Proper Male Germ Cell Differentiation Mari S
    © 2017. Published by The Company of Biologists Ltd | Development (2017) 144, 2683-2693 doi:10.1242/dev.152108 RESEARCH ARTICLE SPEF2 functions in microtubule-mediated transport in elongating spermatids to ensure proper male germ cell differentiation Mari S. Lehti1,2,*, Fu-Ping Zhang2,3,*, Noora Kotaja2,* and Anu Sironen1,‡,§ ABSTRACT 2006, 2002). Mutations in the Spef2 gene (an amino acid substitution Sperm differentiation requires specific protein transport for correct within exon 3 and a nonsense mutation within exon 28) in the big giant sperm tail formation and head shaping. A transient microtubular head (bgh) mouse model caused a primary ciliary dyskinesia (PCD)- structure, the manchette, appears around the differentiating like phenotype, including hydrocephalus, sinusitis and male infertility spermatid head and serves as a platform for protein transport to the (Sironen et al., 2011). Detailed analysis of spermatogenesis in both pig growing tail. Sperm flagellar 2 (SPEF2) is known to be essential for and mouse models revealed axonemal abnormalities, including defects sperm tail development. In this study we investigated the function of in central pair (CP) structure and the complete disorganization of the SPEF2 during spermatogenesis using a male germ cell-specific sperm tail (Sironen et al., 2011). A role of SPEF2 in protein transport Spef2 knockout mouse model. In addition to defects in sperm tail has been postulated owing to its known interaction and colocalization development, we observed a duplication of the basal body and failure with intraflagellar transport 20 (IFT20). During spermatogenesis, in manchette migration resulting in an abnormal head shape. We IFT20 and SPEF2 colocalize in the Golgi complex of late identified cytoplasmic dynein 1 and GOLGA3 as novel interaction spermatocytes and round spermatids and in the manchette and basal partners for SPEF2.
    [Show full text]
  • A Decade of Epigenetic Change in Aging Twins: Genetic and Environmental Contributions To
    bioRxiv preprint doi: https://doi.org/10.1101/778555. this version posted June 12, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 A decade of epigenetic change in aging twins: genetic and environmental contributions to longitudinal DNA methylation Chandra A. Reynolds [1]*, Qihua Tan [2], Elizabeth Munoz [1]a, Juulia Jylhävä [3], Jacob Hjelmborg [2], Lene Christiansen [2,4], Sara Hägg [3], and Nancy L. Pedersen [3] [1] University of California, Riverside, USA [2] University of Southern Denmark, Odense, Denmark [3] Karolinska Institutet, Stockholm, Sweden [4] Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark a now at University of Texas at Austin, USA * Corresponding author: Chandra A. Reynolds, Department of Psychology, University of California Riverside, 900 University Avenue, Riverside, CA, 92521 USA; 951-827-2430 (tel); [email protected] bioRxiv preprint doi: https://doi.org/10.1101/778555. this version posted June 12, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 2 Summary/Abstract Background. Epigenetic changes may result from the interplay of environmental exposures and genetic influences and contribute to differences in age-related disease, disability and mortality risk. However, the etiologies contributing to stability and change in DNA methylation have rarely been examined longitudinally. Methods. We considered DNA methylation in whole blood leukocyte DNA across a 10-year span in two samples of same-sex aging twins: (a) Swedish Adoption Twin Study of Aging (SATSA; N = 53 pairs, 53% female; 62.9 and 72.5 years, SD=7.2 years); (b) Longitudinal Study of Aging Danish Twins (LSADT; N = 43 pairs, 72% female, 76.2 and 86.1 years, SD=1.8 years).
    [Show full text]
  • Strain-Specific Differences in Brain Gene Expression in a Hydrocephalic
    www.nature.com/scientificreports OPEN Strain-specifc diferences in brain gene expression in a hydrocephalic mouse model with motile cilia Received: 18 June 2018 Accepted: 22 August 2018 dysfunction Published: xx xx xxxx Casey W. McKenzie1, Claudia C. Preston2, Rozzy Finn1, Kathleen M. Eyster3, Randolph S. Faustino2,4 & Lance Lee1,4 Congenital hydrocephalus results from cerebrospinal fuid accumulation in the ventricles of the brain and causes severe neurological damage, but the underlying causes are not well understood. It is associated with several syndromes, including primary ciliary dyskinesia (PCD), which is caused by dysfunction of motile cilia. We previously demonstrated that mouse models of PCD lacking ciliary proteins CFAP221, CFAP54 and SPEF2 all have hydrocephalus with a strain-dependent severity. While morphological defects are more severe on the C57BL/6J (B6) background than 129S6/SvEvTac (129), cerebrospinal fuid fow is perturbed on both backgrounds, suggesting that abnormal cilia-driven fow is not the only factor underlying the hydrocephalus phenotype. Here, we performed a microarray analysis on brains from wild type and nm1054 mice lacking CFAP221 on the B6 and 129 backgrounds. Expression diferences were observed for a number of genes that cluster into distinct groups based on expression pattern and biological function, many of them implicated in cellular and biochemical processes essential for proper brain development. These include genes known to be functionally relevant to congenital hydrocephalus, as well as formation and function of both motile and sensory cilia. Identifcation of these genes provides important clues to mechanisms underlying congenital hydrocephalus severity. Hydrocephalus is a complex disorder with both genetic and environmental causes1.
    [Show full text]
  • UNIVERSITY of CALIFORNIA, SAN DIEGO Effective Design And
    UNIVERSITY OF CALIFORNIA, SAN DIEGO Effective Design and Analysis of Systems Genetics Studies A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Computer Science by Hyun Min Kang Committee in charge: Professor Pavel Pevzner, Chair Professor Eleazar Eskin, Co-Chair Professor Vineet Bafna Professor Sanjoy Dasgupta Professor Trey Ideker Professor Nicholas J. Schork 2009 Copyright Hyun Min Kang, 2009 All rights reserved. The dissertation of Hyun Min Kang is approved, and it is acceptable in quality and form for publi- cation on microfilm and electronically: Co-Chair Chair University of California, San Diego 2009 iii DEDICATION To Jihye and Joseph. iv EPIGRAPH Get the facts, or the facts will get you. And when you get them, get them right, or they will get you wrong. — Thomas Fuller v TABLE OF CONTENTS Signature Page . iii Dedication . iv Epigraph . v Table of Contents . vi List of Figures . x List of Tables . xii Acknowledgements . xiii Vita and Publications . xvi Abstract of the Dissertation . xviii Chapter 1 Introduction . 1 Chapter 2 A high-density haplotype resource of 94 inbred mouse strains . 9 2.1 Motivation . 9 2.2 Results . 10 2.2.1 The mouse HapMap resource . 10 2.2.2 Haplotype structure among the strains . 15 2.2.3 Integrating NIEHS/Perlegen resequencing and HapMap data . 19 2.2.4 Effects of larger resources . 24 2.2.5 Trait mapping with the mouse HapMap resource . 26 2.3 Discussion . 28 2.4 Methods . 31 Chapter 3 An adaptive and memory efficient algorithm for genotype impu- tation .
    [Show full text]
  • Maternal Pregravid Obesity Remodels the DNA Methylation Landscape Of
    Maternal Pregravid Obesity Remodels the DNA Methylation Landscape of Cord Blood Monocytes Disrupting Their Inflammatory Program This information is current as of September 26, 2021. Suhas Sureshchandra, Randall M. Wilson, Maham Rais, Nicole E. Marshall, Jonathan Q. Purnell, Kent L. Thornburg and Ilhem Messaoudi J Immunol published online 8 September 2017 http://www.jimmunol.org/content/early/2017/09/07/jimmun Downloaded from ol.1700434 Supplementary http://www.jimmunol.org/content/suppl/2017/09/08/jimmunol.170043 http://www.jimmunol.org/ Material 4.DCSupplemental Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 26, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2017 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published September 8, 2017, doi:10.4049/jimmunol.1700434 The Journal of Immunology Maternal Pregravid Obesity Remodels the DNA Methylation Landscape of Cord Blood Monocytes Disrupting Their Inflammatory Program Suhas Sureshchandra,* Randall M. Wilson,† Maham Rais,† Nicole E. Marshall,‡ Jonathan Q. Purnell,x Kent L.
    [Show full text]
  • Lupus Nephritis Supp Table 5
    Supplementary Table 5 : Transcripts and DAVID pathways correlating with the expression of CD4 in lupus kidney biopsies Positive correlation Negative correlation Transcripts Pathways Transcripts Pathways Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 26.47 Count P_Value Benjamini Identifier Gene Symbol Correlation coefficient with CD4 Annotation Cluster 1 Enrichment Score: 3.16 Count P_Value Benjamini ILMN_1727284 CD4 1 GOTERM_BP_FAT translational elongation 74 2.50E-42 1.00E-38 ILMN_1681389 C2H2 zinc finger protein-0.40001984 INTERPRO Ubiquitin-conjugating enzyme/RWD-like 17 2.00E-05 4.20E-02 ILMN_1772218 HLA-DPA1 0.934229063 SP_PIR_KEYWORDS ribosome 60 2.00E-41 4.60E-39 ILMN_1768954 RIBC1 -0.400186083 SMART UBCc 14 1.00E-04 3.50E-02 ILMN_1778977 TYROBP 0.933302249 KEGG_PATHWAY Ribosome 65 3.80E-35 6.60E-33 ILMN_1699190 SORCS1 -0.400223681 SP_PIR_KEYWORDS ubl conjugation pathway 81 1.30E-04 2.30E-02 ILMN_1689655 HLA-DRA 0.915891173 SP_PIR_KEYWORDS protein biosynthesis 91 4.10E-34 7.20E-32 ILMN_3249088 LOC93432 -0.400285215 GOTERM_MF_FAT small conjugating protein ligase activity 35 1.40E-04 4.40E-02 ILMN_3228688 HLA-DRB1 0.906190291 SP_PIR_KEYWORDS ribonucleoprotein 114 4.80E-34 6.70E-32 ILMN_1680436 CSH2 -0.400299744 SP_PIR_KEYWORDS ligase 54 1.50E-04 2.00E-02 ILMN_2157441 HLA-DRA 0.902996561 GOTERM_CC_FAT cytosolic ribosome 59 3.20E-33 2.30E-30 ILMN_1722755 KRTAP6-2 -0.400334007 GOTERM_MF_FAT acid-amino acid ligase activity 40 1.60E-04 4.00E-02 ILMN_2066066 HLA-DRB6 0.901531942 SP_PIR_KEYWORDS
    [Show full text]
  • Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress
    University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations Fall 2010 Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Renuka Nayak University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Computational Biology Commons, and the Genomics Commons Recommended Citation Nayak, Renuka, "Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress" (2010). Publicly Accessible Penn Dissertations. 1559. https://repository.upenn.edu/edissertations/1559 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1559 For more information, please contact [email protected]. Coexpression Networks Based on Natural Variation in Human Gene Expression at Baseline and Under Stress Abstract Genes interact in networks to orchestrate cellular processes. Here, we used coexpression networks based on natural variation in gene expression to study the functions and interactions of human genes. We asked how these networks change in response to stress. First, we studied human coexpression networks at baseline. We constructed networks by identifying correlations in expression levels of 8.9 million gene pairs in immortalized B cells from 295 individuals comprising three independent samples. The resulting networks allowed us to infer interactions between biological processes. We used the network to predict the functions of poorly-characterized human genes, and provided some experimental support. Examining genes implicated in disease, we found that IFIH1, a diabetes susceptibility gene, interacts with YES1, which affects glucose transport. Genes predisposing to the same diseases are clustered non-randomly in the network, suggesting that the network may be used to identify candidate genes that influence disease susceptibility.
    [Show full text]