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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. -
Cytotoxic Effects and Changes in Gene Expression Profile
Toxicology in Vitro 34 (2016) 309–320 Contents lists available at ScienceDirect Toxicology in Vitro journal homepage: www.elsevier.com/locate/toxinvit Fusarium mycotoxin enniatin B: Cytotoxic effects and changes in gene expression profile Martina Jonsson a,⁎,MarikaJestoib, Minna Anthoni a, Annikki Welling a, Iida Loivamaa a, Ville Hallikainen c, Matti Kankainen d, Erik Lysøe e, Pertti Koivisto a, Kimmo Peltonen a,f a Chemistry and Toxicology Research Unit, Finnish Food Safety Authority (Evira), Mustialankatu 3, FI-00790 Helsinki, Finland b Product Safety Unit, Finnish Food Safety Authority (Evira), Mustialankatu 3, FI-00790 Helsinki, c The Finnish Forest Research Institute, Rovaniemi Unit, P.O. Box 16, FI-96301 Rovaniemi, Finland d Institute for Molecular Medicine Finland (FIMM), University of Helsinki, P.O. Box 20, FI-00014, Finland e Plant Health and Biotechnology, Norwegian Institute of Bioeconomy, Høyskoleveien 7, NO -1430 Ås, Norway f Finnish Safety and Chemicals Agency (Tukes), Opastinsilta 12 B, FI-00521 Helsinki, Finland article info abstract Article history: The mycotoxin enniatin B, a cyclic hexadepsipeptide produced by the plant pathogen Fusarium,isprevalentin Received 3 December 2015 grains and grain-based products in different geographical areas. Although enniatins have not been associated Received in revised form 5 April 2016 with toxic outbreaks, they have caused toxicity in vitro in several cell lines. In this study, the cytotoxic effects Accepted 28 April 2016 of enniatin B were assessed in relation to cellular energy metabolism, cell proliferation, and the induction of ap- Available online 6 May 2016 optosis in Balb 3T3 and HepG2 cells. The mechanism of toxicity was examined by means of whole genome ex- fi Keywords: pression pro ling of exposed rat primary hepatocytes. -
Identification of Potential Key Genes and Pathway Linked with Sporadic Creutzfeldt-Jakob Disease Based on Integrated Bioinformatics Analyses
medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Identification of potential key genes and pathway linked with sporadic Creutzfeldt-Jakob disease based on integrated bioinformatics analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. medRxiv preprint doi: https://doi.org/10.1101/2020.12.21.20248688; this version posted December 24, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Abstract Sporadic Creutzfeldt-Jakob disease (sCJD) is neurodegenerative disease also called prion disease linked with poor prognosis. The aim of the current study was to illuminate the underlying molecular mechanisms of sCJD. The mRNA microarray dataset GSE124571 was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened. -
Structural Basis for Late Maturation Steps of the Human Mitoribosomal Large Subunit ✉ ✉ Miriam Cipullo1,2,5, Genís Valentín Gesé3,5, Anas Khawaja1,2, B
ARTICLE https://doi.org/10.1038/s41467-021-23617-8 OPEN Structural basis for late maturation steps of the human mitoribosomal large subunit ✉ ✉ Miriam Cipullo1,2,5, Genís Valentín Gesé3,5, Anas Khawaja1,2, B. Martin Hällberg 3,4 & Joanna Rorbach 1,2 Mitochondrial ribosomes (mitoribosomes) synthesize a critical set of proteins essential for oxidative phosphorylation. Therefore, mitoribosomal function is vital to the cellular energy supply. Mitoribosome biogenesis follows distinct molecular pathways that remain poorly 1234567890():,; understood. Here, we determine the cryo-EM structures of mitoribosomes isolated from human cell lines with either depleted or overexpressed mitoribosome assembly factor GTPBP5, allowing us to capture consecutive steps during mitoribosomal large subunit (mt- LSU) biogenesis. Our structures provide essential insights into the last steps of 16S rRNA folding, methylation and peptidyl transferase centre (PTC) completion, which require the coordinated action of nine assembly factors. We show that mammalian-specific MTERF4 contributes to the folding of 16S rRNA, allowing 16 S rRNA methylation by MRM2, while GTPBP5 and NSUN4 promote fine-tuning rRNA rearrangements leading to PTC formation. Moreover, our data reveal an unexpected involvement of the elongation factor mtEF-Tu in mt-LSU assembly, where mtEF-Tu interacts with GTPBP5, similar to its interaction with tRNA during translational elongation. 1 Department of Medical Biochemistry and Biophysics, Division of Molecular Metabolism, Karolinska Institutet, Solna, Sweden. 2 Max Planck Institute Biology of Ageing—Karolinska Institutet Laboratory, Karolinska Institutet, Stockholm, Sweden. 3 Department of Cell and Molecular Biology, Karolinska Institutet, Solna, Sweden. 4 Centre for Structural Systems Biology (CSSB) and Karolinska Institutet VR-RÅC, Hamburg, Germany. -
MALSU1 Human Sirna Oligo Duplex (Locus ID 115416
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 SR314507 C7orf30 (MALSU1) Human siRNA Oligo Duplex (Locus ID 115416) Product data: Product Type: siRNA Oligo Duplexes Purity: HPLC purified Quality Control: Tested by ESI-MS Sequences: Available with shipment Stability: One year from date of shipment when stored at -20°C. # of transfections: Approximately 330 transfections/2nmol in 24-well plate under optimized conditions (final conc. 10 nM). Note: Single siRNA duplex (10nmol) can be ordered. RefSeq: NM_138446 Synonyms: C7orf30; mtRsfA Components: MALSU1 (Human) - 3 unique 27mer siRNA duplexes - 2 nmol each (Locus ID 115416) Included - SR30004, Trilencer-27 Universal Scrambled Negative Control siRNA Duplex - 2 nmol Included - SR30005, RNAse free siRNA Duplex Resuspension Buffer - 2 ml Summary: Required for normal mitochondrial ribosome function and mitochondrial translation (PubMed:22238375, PubMed:23171548). May play a role in ribosome biogenesis by preventing premature association of the 28S and 39S ribosomal subunits (Probable). Interacts with mitochondrial ribosomal protein L14 (MRPL14), probably blocking formation of intersubunit bridge B8, preventing association of the 28S and 39S ribosomal subunits (Probable). Addition to isolated mitochondrial ribosomal subunits partially inhibits translation, probably by interfering with the association of the 28S and 39S ribosomal subunits and the formation of functional ribosomes (Probable). May also participate in the assembly and/or regulation of the stability of the large subunit of the mitochondrial ribosome (PubMed:22238376, PubMed:23171548). May function as a ribosomal silencing factor (Probable).[UniProtKB/Swiss-Prot Function] This product is to be used for laboratory only. -
Inositol (1,4,5) Trisphosphate 3 Kinase B Controls Positive Selection of T Cells and Modulates Erk Activity
Inositol (1,4,5) trisphosphate 3 kinase B controls positive selection of T cells and modulates Erk activity Ben G. Wen, Mathew T. Pletcher, Masaki Warashina, Sun Hui Choe, Niusha Ziaee, Tim Wiltshire, Karsten Sauer*, and Michael P. Cooke* Genomics Institute of the Novartis Research Foundation, 10675 John Jay Hopkins Drive, San Diego, CA 92121 Edited by Peter G. Schultz, The Scripps Research Institute, La Jolla, CA, and approved January 27, 2004 (received for review October 24, 2003) The mechanisms governing positive selection of T cells in the were unable to detect expression of Itpkb in thymocytes from thymus are still incompletely understood. Here, we describe a mutant mice. N-ethyl-N-nitrosourea induced recessive mouse mutant, Ms. T-less, Itpkb, also known as inositol (1,4,5) 3 kinase B, converts which lacks T cells in the peripheral blood because of a complete inositol (1,4,5) trisphosphate (IP3) to inositol (1,3,4,5) tetrakis- ؉ ؉ block of thymocyte development at the CD4 CD8 stage. Single phosphate (IP4) (6). IP3 is a critical mediator of TCR induced nucleotide polymorphism mapping and candidate gene sequenc- Ca2ϩ release from internal stores (7). Several studies suggest ing revealed a nonsense mutation in the inositol (1,4,5) trisphos- roles for IP4 in calcium signaling in nonlymphoid cells, possibly phate 3 kinase B (Itpkb) gene in Ms. T-less mice. Accordingly, Ms. by modulating the levels of IP3 (8–10). T-less thymocytes do not show detectable expression of Itpkb Mammals express three Itpk isoforms: Itpka, Itpkb, and Itpkc protein and have drastically reduced basal inositol (1,4,5) trisphos- (6, 11, 12). -
Molecular Signatures Differentiate Immune States in Type 1 Diabetes Families
Page 1 of 65 Diabetes Molecular signatures differentiate immune states in Type 1 diabetes families Yi-Guang Chen1, Susanne M. Cabrera1, Shuang Jia1, Mary L. Kaldunski1, Joanna Kramer1, Sami Cheong2, Rhonda Geoffrey1, Mark F. Roethle1, Jeffrey E. Woodliff3, Carla J. Greenbaum4, Xujing Wang5, and Martin J. Hessner1 1The Max McGee National Research Center for Juvenile Diabetes, Children's Research Institute of Children's Hospital of Wisconsin, and Department of Pediatrics at the Medical College of Wisconsin Milwaukee, WI 53226, USA. 2The Department of Mathematical Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA. 3Flow Cytometry & Cell Separation Facility, Bindley Bioscience Center, Purdue University, West Lafayette, IN 47907, USA. 4Diabetes Research Program, Benaroya Research Institute, Seattle, WA, 98101, USA. 5Systems Biology Center, the National Heart, Lung, and Blood Institute, the National Institutes of Health, Bethesda, MD 20824, USA. Corresponding author: Martin J. Hessner, Ph.D., The Department of Pediatrics, The Medical College of Wisconsin, Milwaukee, WI 53226, USA Tel: 011-1-414-955-4496; Fax: 011-1-414-955-6663; E-mail: [email protected]. Running title: Innate Inflammation in T1D Families Word count: 3999 Number of Tables: 1 Number of Figures: 7 1 For Peer Review Only Diabetes Publish Ahead of Print, published online April 23, 2014 Diabetes Page 2 of 65 ABSTRACT Mechanisms associated with Type 1 diabetes (T1D) development remain incompletely defined. Employing a sensitive array-based bioassay where patient plasma is used to induce transcriptional responses in healthy leukocytes, we previously reported disease-specific, partially IL-1 dependent, signatures associated with pre and recent onset (RO) T1D relative to unrelated healthy controls (uHC). -
Identification of Expression Qtls Targeting Candidate Genes For
ISSN: 2378-3648 Salleh et al. J Genet Genome Res 2018, 5:035 DOI: 10.23937/2378-3648/1410035 Volume 5 | Issue 1 Journal of Open Access Genetics and Genome Research RESEARCH ARTICLE Identification of Expression QTLs Targeting Candidate Genes for Residual Feed Intake in Dairy Cattle Using Systems Genomics Salleh MS1,2, Mazzoni G2, Nielsen MO1, Løvendahl P3 and Kadarmideen HN2,4* 1Department of Veterinary and Animal Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark Check for 2Department of Bio and Health Informatics, Technical University of Denmark, Lyngby, Denmark updates 3Department of Molecular Biology and Genetics-Center for Quantitative Genetics and Genomics, Aarhus University, AU Foulum, Tjele, Denmark 4Department of Applied Mathematics and Computer Science, Technical University of Denmark, Lyngby, Denmark *Corresponding author: Kadarmideen HN, Department of Applied Mathematics and Computer Science, Technical University of Denmark, DK-2800, Kgs. Lyngby, Denmark, E-mail: [email protected] Abstract body weight gain and net merit). The eQTLs and biological pathways identified in this study improve our understanding Background: Residual feed intake (RFI) is the difference of the complex biological and genetic mechanisms that de- between actual and predicted feed intake and an important termine FE traits in dairy cattle. The identified eQTLs/genet- factor determining feed efficiency (FE). Recently, 170 can- ic variants can potentially be used in new genomic selection didate genes were associated with RFI, but no expression methods that include biological/functional information on quantitative trait loci (eQTL) mapping has hitherto been per- SNPs. formed on FE related genes in dairy cows. In this study, an integrative systems genetics approach was applied to map Keywords eQTLs in Holstein and Jersey cows fed two different diets to eQTL, RNA-seq, Genotype, Data integration, Systems improve identification of candidate genes for FE. -
Supplementary Material Supplementary Figure1 A. EMSA
Supplementary Material Supplementary Figure1 A. EMSA assay in THP-1 cells demonstrating increased protein binding to the probe with A allele compared to G allele. More DNA-protein complexes were shifted with the probe with allele A (lane 2) than allele G (lane 6); both unlabeled probes with A allele or G allele (24 pmol, 200X) can totally compete out the corresponding shifted band separately (lane 3 and lane 7); using 200X unlabeled probe with G allele can also compete out the shifted band formed with the probe with A allele (lane 4); unlabeled probe with A allele was also able to compete out the shifted band formed in the presence of probe with G allele (lane 8). B. The enhancer function of rs2069837 locus was also confirmed in THP-1 cells. Significantly increased luciferase expression was detected in both vectors with intronic sequence (A/G), with significantly higher expression in the construct with G allele than that with A allele (p< 0.05). C. The allele discrimination plot of 48 healthy subjects genotyped for rs2069837. D. No differences were observed between macrophages with AA and AG in the expressions of other genes interacting with rs2069837 based on DNase hypersensitivity correlations maps. E. Other epigenetic markers (H3K4me1 and H3K4me3) in monocytes also indicated the locus upstream GPNMB and the locus in the first intron of GPNMB are regulatory regions. GATA binding motif (72bp downstream of chr7:23248026 and 26bp upstream of chr7: 23288026) and MEF2 binding motif (149bp downstream of chr7:23248026 and 32bp upstream of chr7:23288026) close to these two loci are predicted, which were also demonstrated in ChIP-seq data of some cell lines (no ChIP-seq data of GATA and MEF2 in monocytes were available). -
Gene Co-Expression Networks from RNA Sequencing of Dairy Cattle Identifies Genes and Pathways Affecting Feed Efficiency
Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency Salleh, S. M.; Mazzoni, G.; Løvendahl, P.; Kadarmideen, H. N. Published in: BMC Bioinformatics DOI: 10.1186/s12859-018-2553-z Publication date: 2018 Document version Publisher's PDF, also known as Version of record Document license: CC BY Citation for published version (APA): Salleh, S. M., Mazzoni, G., Løvendahl, P., & Kadarmideen, H. N. (2018). Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency. BMC Bioinformatics, 19, [513]. https://doi.org/10.1186/s12859-018-2553-z Download date: 23. sep.. 2021 Salleh et al. BMC Bioinformatics (2018) 19:513 https://doi.org/10.1186/s12859-018-2553-z RESEARCHARTICLE Open Access Gene co-expression networks from RNA sequencing of dairy cattle identifies genes and pathways affecting feed efficiency S. M. Salleh1,2, G. Mazzoni3, P. Løvendahl4 and H. N. Kadarmideen3,5* Abstract Background: Selection for feed efficiency is crucial for overall profitability and sustainability in dairy cattle production. Key regulator genes and genetic markers derived from co-expression networks underlying feed efficiency could be included in the genomic selection of the best cows. The present study identified co-expression networks associated with high and low feed efficiency and their regulator genes in Danish Holstein and Jersey cows. RNA-sequencing data from Holstein and Jersey cows with high and low residual feed intake (RFI) and treated with two diets (low and high concentrate) were used. Approximately 26 million and 25 million pair reads were mapped to bovine reference genome for Jersey and Holstein breed, respectively. -
Blood Biomarkers for Memory: Toward Early Detection of Risk for Alzheimer Disease, Pharmacogenomics, and Repurposed Drugs
Molecular Psychiatry (2020) 25:1651–1672 https://doi.org/10.1038/s41380-019-0602-2 IMMEDIATE COMMUNICATION Blood biomarkers for memory: toward early detection of risk for Alzheimer disease, pharmacogenomics, and repurposed drugs 1,2,3 1 1 1,3,4 1 1 1 3 A. B. Niculescu ● H. Le-Niculescu ● K. Roseberry ● S. Wang ● J. Hart ● A. Kaur ● H. Robertson ● T. Jones ● 3 3,5 5 2 1 1,4 4 A. Strasburger ● A. Williams ● S. M. Kurian ● B. Lamb ● A. Shekhar ● D. K. Lahiri ● A. J. Saykin Received: 25 March 2019 / Revised: 25 September 2019 / Accepted: 11 November 2019 / Published online: 2 December 2019 © The Author(s) 2019. This article is published with open access Abstract Short-term memory dysfunction is a key early feature of Alzheimer’s disease (AD). Psychiatric patients may be at higher risk for memory dysfunction and subsequent AD due to the negative effects of stress and depression on the brain. We carried out longitudinal within-subject studies in male and female psychiatric patients to discover blood gene expression biomarkers that track short term memory as measured by the retention measure in the Hopkins Verbal Learning Test. These biomarkers were subsequently prioritized with a convergent functional genomics approach using previous evidence in the field implicating them in AD. The top candidate biomarkers were then tested in an independent cohort for ability to predict state short-term memory, 1234567890();,: 1234567890();,: and trait future positive neuropsychological testing for cognitive impairment. The best overall evidence was for a series of new, as well as some previously known genes, which are now newly shown to have functional evidence in humans as blood biomarkers: RAB7A, NPC2, TGFB1, GAP43, ARSB, PER1, GUSB, and MAPT. -
1 Structural Basis for Late Maturation Steps of the Human Mitoribosomal Large Subunit 2 3 4 Authors: Miriam Cipullo1,2,†, Genís Valentín Gesé3,†, Anas Khawaja1,2, 5 B
Structural basis for late maturation steps of the human mitoribosomal large subunit Joanna Rorbach ( [email protected] ) Karolinska Institutet https://orcid.org/0000-0002-2891-2840 Miriam Cipullo Karolinska Institutet Genís Valentín Gesé Karolinska Institutet Anas Khawaja Karolinska Institutet Martin Hällberg Karolinska Institute https://orcid.org/0000-0002-6781-0345 Article Keywords: Mitochondrial Ribosomes, Oxidative Phosphorylation, Cryo-EM Structures, 16S rRNA Folding, Methylation, Peptidyl Transferase Centre Posted Date: March 10th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-253032/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License 1 Structural basis for late maturation steps of the human mitoribosomal large subunit 2 3 4 Authors: Miriam Cipullo1,2,†, Genís Valentín Gesé3,†, Anas Khawaja1,2, 5 B. Martin Hällberg3,4,*, Joanna Rorbach1,2,* 6 7 8 Affiliations: 9 1 Department of Medical Biochemistry and Biophysics, Division of Molecular Metabolism, 10 Karolinska Institutet, Solnavägen 9, 171 65 Solna, Sweden 11 2 Max Planck Institute Biology of Ageing - Karolinska Institutet Laboratory, Karolinska 12 Institutet, Stockholm, Sweden 13 3 Department of Cell and Molecular Biology, Karolinska Institutet, Solnavägen 9, 171 65 14 Solna, Sweden 15 4 Centre for Structural Systems Biology (CSSB) and Karolinska Institutet VR-RÅC, 16 Notkestrasse 85, 22607 Hamburg, Germany. 17 18 19 †Joint First Authors 20 21 *Correspondence to: 22 B. Martin Hällberg 23 Address: Department of Cell and Molecular Biology, Karolinska Institutet, Solnavägen 9, 171 24 65 Solna, Sweden 25 Email: [email protected] 26 27 Joanna Rorbach 28 Department of Medical Biochemistry and Biophysics, Research Division of Molecular 29 Metabolism, Karolinska Institutet, Solnavägen 9, 171 65 Solna, Sweden 30 Email: [email protected] 31 32 33 34 1 35 Abstract 36 Mitochondrial ribosomes (mitoribosomes) synthezise a critical set of proteins essential for 37 oxidative phosphorylation.