High Resolution Physical Map of Porcine Chromosome 7 QTL Region and Comparative Mapping of This Region Among Vertebrate Genomes
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PARSANA-DISSERTATION-2020.Pdf
DECIPHERING TRANSCRIPTIONAL PATTERNS OF GENE REGULATION: A COMPUTATIONAL APPROACH by Princy Parsana A dissertation submitted to The Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland July, 2020 © 2020 Princy Parsana All rights reserved Abstract With rapid advancements in sequencing technology, we now have the ability to sequence the entire human genome, and to quantify expression of tens of thousands of genes from hundreds of individuals. This provides an extraordinary opportunity to learn phenotype relevant genomic patterns that can improve our understanding of molecular and cellular processes underlying a trait. The high dimensional nature of genomic data presents a range of computational and statistical challenges. This dissertation presents a compilation of projects that were driven by the motivation to efficiently capture gene regulatory patterns in the human transcriptome, while addressing statistical and computational challenges that accompany this data. We attempt to address two major difficulties in this domain: a) artifacts and noise in transcriptomic data, andb) limited statistical power. First, we present our work on investigating the effect of artifactual variation in gene expression data and its impact on trans-eQTL discovery. Here we performed an in-depth analysis of diverse pre-recorded covariates and latent confounders to understand their contribution to heterogeneity in gene expression measurements. Next, we discovered 673 trans-eQTLs across 16 human tissues using v6 data from the Genotype Tissue Expression (GTEx) project. Finally, we characterized two trait-associated trans-eQTLs; one in Skeletal Muscle and another in Thyroid. Second, we present a principal component based residualization method to correct gene expression measurements prior to reconstruction of co-expression networks. -
Genome-Wide Approach to Identify Risk Factors for Therapy-Related Myeloid Leukemia
Leukemia (2006) 20, 239–246 & 2006 Nature Publishing Group All rights reserved 0887-6924/06 $30.00 www.nature.com/leu ORIGINAL ARTICLE Genome-wide approach to identify risk factors for therapy-related myeloid leukemia A Bogni1, C Cheng2, W Liu2, W Yang1, J Pfeffer1, S Mukatira3, D French1, JR Downing4, C-H Pui4,5,6 and MV Relling1,6 1Department of Pharmaceutical Sciences, The University of Tennessee, Memphis, TN, USA; 2Department of Biostatistics, The University of Tennessee, Memphis, TN, USA; 3Hartwell Center, The University of Tennessee, Memphis, TN, USA; 4Department of Pathology, The University of Tennessee, Memphis, TN, USA; 5Department of Hematology/Oncology St Jude Children’s Research Hospital, The University of Tennessee, Memphis, TN, USA; and 6Colleges of Medicine and Pharmacy, The University of Tennessee, Memphis, TN, USA Using a target gene approach, only a few host genetic risk therapy increases, the importance of identifying host factors for factors for treatment-related myeloid leukemia (t-ML) have been secondary neoplasms increases. defined. Gene expression microarrays allow for a more 4 genome-wide approach to assess possible genetic risk factors Because DNA microarrays interrogate multiple ( 10 000) for t-ML. We assessed gene expression profiles (n ¼ 12 625 genes in one experiment, they allow for a ‘genome-wide’ probe sets) in diagnostic acute lymphoblastic leukemic cells assessment of genes that may predispose to leukemogenesis. from 228 children treated on protocols that included leukemo- DNA microarray analysis of gene expression has been used to genic agents such as etoposide, 13 of whom developed t-ML. identify distinct expression profiles that are characteristic of Expression of 68 probes, corresponding to 63 genes, was different leukemia subtypes.13,14 Studies using this method have significantly related to risk of t-ML. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Alternative Haplotypes of Antigen Processing Genes in Zebrafish Diverged Early in Vertebrate Evolution
Alternative haplotypes of antigen processing genes in PNAS PLUS zebrafish diverged early in vertebrate evolution Sean C. McConnella,1, Kyle M. Hernandezb, Dustin J. Wciselc,d, Ross N. Kettleboroughe, Derek L. Stemplee, Jeffrey A. Yoderc,d,f, Jorge Andradeb, and Jill L. O. de Jonga,1 aSection of Hematology-Oncology and Stem Cell Transplant, Department of Pediatrics, The University of Chicago, Chicago, IL 60637; bCenter for Research Informatics, The University of Chicago, Chicago, IL 60637; cDepartment of Molecular Biomedical Sciences, College of Veterinary Medicine, North Carolina State University, Raleigh, NC 27607; dGenomic Sciences Graduate Program, North Carolina State University, Raleigh, NC 27607; eVertebrate Development and Genetics, Wellcome Trust Sanger Institute, Cambridge CB10 1SA, United Kingdom; and fComparative Medicine Institute, North Carolina State University, Raleigh, NC 27607 Edited by Peter Parham, Stanford University School of Medicine, Stanford, CA, and accepted by Editorial Board Member Peter Cresswell June 23, 2016 (received for review May 16, 2016) Antigen processing and presentation genes found within the Recent genomic studies have offered considerable insights into MHC are among the most highly polymorphic genes of vertebrate the evolution of the vertebrate adaptive immune system by com- genomes, providing populations with diverse immune responses to a paring phylogenetically divergent species (11–14). Throughout wide array of pathogens. Here, we describe transcriptome, exome, vertebrates, gene linkage within the MHC region is highly con- and whole-genome sequencing of clonal zebrafish, uncovering the served. For example, MHCI and antigen processing genes remain most extensive diversity within the antigen processing and presen- tightly linked in sharks, members of the oldest vertebrate lineage tation genes of any species yet examined. -
HSD17B8 (NM 014234) Human Tagged ORF Clone – RG203806
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 RG203806 HSD17B8 (NM_014234) Human Tagged ORF Clone Product data: Product Type: Expression Plasmids Product Name: HSD17B8 (NM_014234) Human Tagged ORF Clone Tag: TurboGFP Symbol: HSD17B8 Synonyms: D6S2245E; dJ1033B10.9; FABG; FABGL; H2-KE6; HKE6; KE6; RING2; SDR30C1 Vector: pCMV6-AC-GFP (PS100010) E. coli Selection: Ampicillin (100 ug/mL) Cell Selection: Neomycin ORF Nucleotide >RG203806 representing NM_014234 Sequence: Red=Cloning site Blue=ORF Green=Tags(s) TTTTGTAATACGACTCACTATAGGGCGGCCGGGAATTCGTCGACTGGATCCGGTACCGAGGAGATCTGCC GCCGCGATCGCC ATGGCGTCTCAGCTCCAGAACCGACTCCGCTCCGCACTGGCCTTGGTCACAGGTGCGGGGAGCGGCATCG GCCGAGCGGTCAGTGTACGCCTGGCCGGAGAGGGGGCCACCGTAGCTGCCTGCGACCTGGACCGGGCAGC GGCACAGGAGACGGTGCGGCTGCTGGGCGGGCCAGGGAGCAAGGAGGGGCCGCCCCGAGGGAACCATGCT GCCTTCCAGGCTGACGTGTCTGAGGCCAGGGCCGCCAGGTGCCTGCTGGAACAAGTGCAGGCCTGCTTTT CTCGCCCACCATCTGTCGTTGTGTCCTGTGCGGGCATCACCCAGGATGAGTTTCTGCTGCACATGTCTGA GGATGACTGGGACAAAGTCATAGCTGTCAACCTCAAGGGCACCTTCCTAGTCACTCAGGCTGCAGCACAA GCCCTGGTGTCCAATGGTTGTCGTGGTTCCATCATCAACATCAGTAGCATCGTAGGAAAGGTGGGGAACG TGGGGCAGACAAACTATGCAGCATCCAAGGCTGGAGTGATTGGGCTGACCCAGACCGCAGCCCGGGAGCT TGGACGACATGGGATCCGCTGTAACTCTGTCCTCCCAGGGTTCATTGCAACACCCATGACACAGAAAGTG CCACAGAAAGTGGTGGACAAGATTACTGAAATGATCCCGATGGGACACTTGGGGGACCCTGAGGATGTGG CAGATGTGGTCGCATTCTTGGCATCTGAAGATAGTGGATACATCACAGGGACCTCAGTGGAAGTCACTGG AGGTCTTTTCATG ACGCGTACGCGGCCGCTCGAG -
Epigenetic Reprogramming Underlies Efficacy of DNA Demethylation
www.nature.com/scientificreports OPEN Epigenetic reprogramming underlies efcacy of DNA demethylation therapy in osteosarcomas Naofumi Asano 1,2, Hideyuki Takeshima3, Satoshi Yamashita3, Hironori Takamatsu2,3, Naoko Hattori3, Takashi Kubo4, Akihiko Yoshida5, Eisuke Kobayashi6, Robert Nakayama2, Morio Matsumoto2, Masaya Nakamura2, Hitoshi Ichikawa 4, Akira Kawai6, Tadashi Kondo1 & Toshikazu Ushijima 3* Osteosarcoma (OS) patients with metastasis or recurrent tumors still sufer from poor prognosis. Studies have indicated the efcacy of DNA demethylation therapy for OS, but the underlying mechanism is still unclear. Here, we aimed to clarify the mechanism of how epigenetic therapy has therapeutic efcacy in OS. Treatment of four OS cell lines with a DNA demethylating agent, 5-aza-2′- deoxycytidine (5-aza-dC) treatment, markedly suppressed their growth, and in vivo efcacy was further confrmed using two OS xenografts. Genome-wide DNA methylation analysis showed that 10 of 28 primary OS had large numbers of methylated CpG islands while the remaining 18 OS did not, clustering together with normal tissue samples and Ewing sarcoma samples. Among the genes aberrantly methylated in primary OS, genes involved in skeletal system morphogenesis were present. Searching for methylation-silenced genes by expression microarray screening of two OS cell lines after 5-aza-dC treatment revealed that multiple tumor-suppressor and osteo/chondrogenesis-related genes were re-activated by 5-aza-dC treatment of OS cells. Simultaneous activation of multiple genes related to osteogenesis and cell proliferation, namely epigenetic reprogramming, was considered to underlie the efcacy of DNA demethylation therapy in OS. Osteosarcoma (OS) is the most common malignant tumor of the bone in children and adolescents1. -
A Yeast Phenomic Model for the Influence of Warburg Metabolism on Genetic Buffering of Doxorubicin Sean M
Santos and Hartman Cancer & Metabolism (2019) 7:9 https://doi.org/10.1186/s40170-019-0201-3 RESEARCH Open Access A yeast phenomic model for the influence of Warburg metabolism on genetic buffering of doxorubicin Sean M. Santos and John L. Hartman IV* Abstract Background: The influence of the Warburg phenomenon on chemotherapy response is unknown. Saccharomyces cerevisiae mimics the Warburg effect, repressing respiration in the presence of adequate glucose. Yeast phenomic experiments were conducted to assess potential influences of Warburg metabolism on gene-drug interaction underlying the cellular response to doxorubicin. Homologous genes from yeast phenomic and cancer pharmacogenomics data were analyzed to infer evolutionary conservation of gene-drug interaction and predict therapeutic relevance. Methods: Cell proliferation phenotypes (CPPs) of the yeast gene knockout/knockdown library were measured by quantitative high-throughput cell array phenotyping (Q-HTCP), treating with escalating doxorubicin concentrations under conditions of respiratory or glycolytic metabolism. Doxorubicin-gene interaction was quantified by departure of CPPs observed for the doxorubicin-treated mutant strain from that expected based on an interaction model. Recursive expectation-maximization clustering (REMc) and Gene Ontology (GO)-based analyses of interactions identified functional biological modules that differentially buffer or promote doxorubicin cytotoxicity with respect to Warburg metabolism. Yeast phenomic and cancer pharmacogenomics data were integrated to predict differential gene expression causally influencing doxorubicin anti-tumor efficacy. Results: Yeast compromised for genes functioning in chromatin organization, and several other cellular processes are more resistant to doxorubicin under glycolytic conditions. Thus, the Warburg transition appears to alleviate requirements for cellular functions that buffer doxorubicin cytotoxicity in a respiratory context. -
In This Table Protein Name, Uniprot Code, Gene Name P-Value
Supplementary Table S1: In this table protein name, uniprot code, gene name p-value and Fold change (FC) for each comparison are shown, for 299 of the 301 significantly regulated proteins found in both comparisons (p-value<0.01, fold change (FC) >+/-0.37) ALS versus control and FTLD-U versus control. Two uncharacterized proteins have been excluded from this list Protein name Uniprot Gene name p value FC FTLD-U p value FC ALS FTLD-U ALS Cytochrome b-c1 complex P14927 UQCRB 1.534E-03 -1.591E+00 6.005E-04 -1.639E+00 subunit 7 NADH dehydrogenase O95182 NDUFA7 4.127E-04 -9.471E-01 3.467E-05 -1.643E+00 [ubiquinone] 1 alpha subcomplex subunit 7 NADH dehydrogenase O43678 NDUFA2 3.230E-04 -9.145E-01 2.113E-04 -1.450E+00 [ubiquinone] 1 alpha subcomplex subunit 2 NADH dehydrogenase O43920 NDUFS5 1.769E-04 -8.829E-01 3.235E-05 -1.007E+00 [ubiquinone] iron-sulfur protein 5 ARF GTPase-activating A0A0C4DGN6 GIT1 1.306E-03 -8.810E-01 1.115E-03 -7.228E-01 protein GIT1 Methylglutaconyl-CoA Q13825 AUH 6.097E-04 -7.666E-01 5.619E-06 -1.178E+00 hydratase, mitochondrial ADP/ATP translocase 1 P12235 SLC25A4 6.068E-03 -6.095E-01 3.595E-04 -1.011E+00 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 MIC J3QTA6 CHCHD6 1.090E-04 -5.913E-01 2.124E-03 -5.948E-01 Protein kinase C and casein Q9BY11 PACSIN1 3.837E-03 -5.863E-01 3.680E-06 -1.824E+00 kinase substrate in neurons protein 1 Tubulin polymerization- O94811 TPPP 6.466E-03 -5.755E-01 6.943E-06 -1.169E+00 promoting protein MIC C9JRZ6 CHCHD3 2.912E-02 -6.187E-01 2.195E-03 -9.781E-01 Mitochondrial 2- -
Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications
Stem Cell Rev and Rep DOI 10.1007/s12015-016-9662-8 Detailed Characterization of Human Induced Pluripotent Stem Cells Manufactured for Therapeutic Applications Behnam Ahmadian Baghbaderani 1 & Adhikarla Syama2 & Renuka Sivapatham3 & Ying Pei4 & Odity Mukherjee2 & Thomas Fellner1 & Xianmin Zeng3,4 & Mahendra S. Rao5,6 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract We have recently described manufacturing of hu- help determine which set of tests will be most useful in mon- man induced pluripotent stem cells (iPSC) master cell banks itoring the cells and establishing criteria for discarding a line. (MCB) generated by a clinically compliant process using cord blood as a starting material (Baghbaderani et al. in Stem Cell Keywords Induced pluripotent stem cells . Embryonic stem Reports, 5(4), 647–659, 2015). In this manuscript, we de- cells . Manufacturing . cGMP . Consent . Markers scribe the detailed characterization of the two iPSC clones generated using this process, including whole genome se- quencing (WGS), microarray, and comparative genomic hy- Introduction bridization (aCGH) single nucleotide polymorphism (SNP) analysis. We compare their profiles with a proposed calibra- Induced pluripotent stem cells (iPSCs) are akin to embryonic tion material and with a reporter subclone and lines made by a stem cells (ESC) [2] in their developmental potential, but dif- similar process from different donors. We believe that iPSCs fer from ESC in the starting cell used and the requirement of a are likely to be used to make multiple clinical products. We set of proteins to induce pluripotency [3]. Although function- further believe that the lines used as input material will be used ally identical, iPSCs may differ from ESC in subtle ways, at different sites and, given their immortal status, will be used including in their epigenetic profile, exposure to the environ- for many years or even decades. -
Differential Expression and Co-Expression Gene Networks Reveal Candidate Biomarkers of Boar Taint in Non-Castrated Pigs
Downloaded from orbit.dtu.dk on: Oct 06, 2021 Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs Drag, Markus; Skinkyté-Juskiené, Ruta; Do, Duy N.; Kogelman, Lisette J. A.; Kadarmideen, Haja N. Published in: Scientific Reports Link to article, DOI: 10.1038/s41598-017-11928-0 Publication date: 2017 Document Version Publisher's PDF, also known as Version of record Link back to DTU Orbit Citation (APA): Drag, M., Skinkyté-Juskiené, R., Do, D. N., Kogelman, L. J. A., & Kadarmideen, H. N. (2017). Differential expression and co-expression gene networks reveal candidate biomarkers of boar taint in non-castrated pigs. Scientific Reports, 7(1), [12205]. https://doi.org/10.1038/s41598-017-11928-0 General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. Users may download and print one copy of any publication from the public portal for the purpose of private study or research. You may not further distribute the material or use it for any profit-making activity or commercial gain You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. www.nature.com/scientificreports OPEN Differential expression and co- expression gene networks reveal candidate biomarkers of boar taint Received: 8 November 2016 Accepted: 1 September 2017 in non-castrated pigs Published: xx xx xxxx Markus Drag 1,4, Ruta Skinkyté-Juskiené 1, Duy N. -
The Disruption Ofcelf6, a Gene Identified by Translational Profiling
2732 • The Journal of Neuroscience, February 13, 2013 • 33(7):2732–2753 Neurobiology of Disease The Disruption of Celf6, a Gene Identified by Translational Profiling of Serotonergic Neurons, Results in Autism-Related Behaviors Joseph D. Dougherty,1,2 Susan E. Maloney,1,2 David F. Wozniak,2 Michael A. Rieger,1,2 Lisa Sonnenblick,3,4,5 Giovanni Coppola,4 Nathaniel G. Mahieu,1 Juliet Zhang,6 Jinlu Cai,8 Gary J. Patti,1 Brett S. Abrahams,8 Daniel H. Geschwind,3,4,5 and Nathaniel Heintz6,7 Departments of 1Genetics and 2Psychiatry, Washington University School of Medicine, St. Louis, Missouri 63110, 3UCLA Center for Autism Research and Treatment, Semel Institute for Neuroscience and Behavior, 4Program in Neurogenetics, Department of Neurology, and 5Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, California 90095, 6Laboratory of Molecular Biology, Howard Hughes Medical Institute, and 7The GENSAT Project, Rockefeller University, New York, New York 10065, and 8Departments of Genetics and Neuroscience, Albert Einstein College of Medicine, New York, New York 10461 The immense molecular diversity of neurons challenges our ability to understand the genetic and cellular etiology of neuropsychiatric disorders. Leveraging knowledge from neurobiology may help parse the genetic complexity: identifying genes important for a circuit that mediates a particular symptom of a disease may help identify polymorphisms that contribute to risk for the disease as a whole. The serotonergic system has long been suspected in disorders that have symptoms of repetitive behaviors and resistance to change, including autism. We generated a bacTRAP mouse line to permit translational profiling of serotonergic neurons. -
Idiopathic Scoliosis Families Highlight Actin-Based and Microtubule-Based Cellular Projections and Extracellular Matrix in Disease Etiology
INVESTIGATION Idiopathic Scoliosis Families Highlight Actin-Based and Microtubule-Based Cellular Projections and Extracellular Matrix in Disease Etiology Erin E. Baschal,*,1 Elizabeth A. Terhune,* Cambria I. Wethey,* Robin M. Baschal,*,† Kandice D. Robinson,* Melissa T. Cuevas,* Shreyash Pradhan,* Brittan S. Sutphin,* Matthew R. G. Taylor,‡ Katherine Gowan,§ Chad G. Pearson,** Lee A. Niswander,§,†† Kenneth L. Jones,§ and Nancy H. Miller*,† *Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO, †Musculoskeletal Research § Center, Children’s Hospital Colorado, Aurora, CO, ‡Department of Cardiology, Department of Pediatrics, and **Department of Cell and Developmental Biology, University of Colorado Anschutz Medical Campus, Aurora, CO, and ††Department of Molecular, Cellular and Developmental Biology, University of Colorado Boulder, Boulder, CO ORCID IDs: 0000-0002-8936-434X (E.E.B.); 0000-0003-1915-6593 (C.G.P.) ABSTRACT Idiopathic scoliosis (IS) is a structural lateral spinal curvature of $10° that affects up to 3% of KEYWORDS otherwise healthy children and can lead to life-long problems in severe cases. It is well-established that IS is idiopathic a genetic disorder. Previous studies have identified genes that may contribute to the IS phenotype, but the scoliosis overall genetic etiology of IS is not well understood. We used exome sequencing to study five multigen- exome erational families with IS. Bioinformatic analyses identified unique and low frequency variants (minor allele sequencing frequency #5%) that were present in all sequenced members of the family. Across the five families, we actin identified a total of 270 variants with predicted functional consequences in 246 genes, and found that eight cytoskeleton genes were shared by two families.