Comprehensive Proteome Analysis of Lysosomes Reveals the Diverse Function of Macrophages in Immune Responses
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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. -
Research Article Label-Free Proteomics of the Fetal Pancreas Identifies Deficits in the Peroxisome in Rats with Intrauterine Growth Restriction
Hindawi Oxidative Medicine and Cellular Longevity Volume 2019, Article ID 1520753, 15 pages https://doi.org/10.1155/2019/1520753 Research Article Label-Free Proteomics of the Fetal Pancreas Identifies Deficits in the Peroxisome in Rats with Intrauterine Growth Restriction Xiaomei Liu ,1 Yanyan Guo ,1 Jun Wang ,1,2 Linlin Gao ,3 and Caixia Liu 1 1Key Laboratory of Maternal-Fetal Medicine of Liaoning Province, Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang 110004, China 2Department of Obstetrics and Gynecology, Benxi Central Hospital of China Medical University, Benxi 117022, China 3Medical Research Center, Shengjing Hospital, China Medical University, Shenyang 110004, China Correspondence should be addressed to Xiaomei Liu; [email protected] Received 14 May 2019; Revised 31 August 2019; Accepted 9 September 2019; Published 3 November 2019 Guest Editor: Roberta Cascella Copyright © 2019 Xiaomei Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Aim. The objective of the present study was to identify differentially expressed proteins (DEPs) in the pancreas of a fetus with intrauterine growth restriction (IUGR) and to investigate the molecular mechanisms leading to adulthood diabetes in IUGR. Methods. The IUGR rat model was induced by maternal protein malnutrition. The fetal pancreas was collected at embryonic day 20 (E20). Protein was extracted, pooled, and subjected to label-free quantitative proteomic analysis. Bioinformatics analysis (GO and IPA) was performed to define the pathways and networks associated with DEPs. LC-MS results were confirmed by western blotting and/or quantitative PCR (q-PCR). -
Peroxisomal Disorders and Their Mouse Models Point to Essential Roles of Peroxisomes for Retinal Integrity
International Journal of Molecular Sciences Review Peroxisomal Disorders and Their Mouse Models Point to Essential Roles of Peroxisomes for Retinal Integrity Yannick Das, Daniëlle Swinkels and Myriam Baes * Lab of Cell Metabolism, Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium; [email protected] (Y.D.); [email protected] (D.S.) * Correspondence: [email protected] Abstract: Peroxisomes are multifunctional organelles, well known for their role in cellular lipid homeostasis. Their importance is highlighted by the life-threatening diseases caused by peroxisomal dysfunction. Importantly, most patients suffering from peroxisomal biogenesis disorders, even those with a milder disease course, present with a number of ocular symptoms, including retinopathy. Patients with a selective defect in either peroxisomal α- or β-oxidation or ether lipid synthesis also suffer from vision problems. In this review, we thoroughly discuss the ophthalmological pathology in peroxisomal disorder patients and, where possible, the corresponding animal models, with a special emphasis on the retina. In addition, we attempt to link the observed retinal phenotype to the underlying biochemical alterations. It appears that the retinal pathology is highly variable and the lack of histopathological descriptions in patients hampers the translation of the findings in the mouse models. Furthermore, it becomes clear that there are still large gaps in the current knowledge on the contribution of the different metabolic disturbances to the retinopathy, but branched chain fatty acid accumulation and impaired retinal PUFA homeostasis are likely important factors. Citation: Das, Y.; Swinkels, D.; Baes, Keywords: peroxisome; Zellweger; metabolism; fatty acid; retina M. Peroxisomal Disorders and Their Mouse Models Point to Essential Roles of Peroxisomes for Retinal Integrity. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
E3 Ubiquitin Ligase SP1 Regulates Peroxisome Biogenesis in Arabidopsis
E3 ubiquitin ligase SP1 regulates peroxisome PNAS PLUS biogenesis in Arabidopsis Ronghui Pana, John Satkovicha, and Jianping Hua,b,1 aDepartment of Energy Plant Research Laboratory, Michigan State University, East Lansing, MI 48824; and bPlant Biology Department, Michigan State University, East Lansing, MI 48824 Edited by Natasha V. Raikhel, Center for Plant Cell Biology, Riverside, CA, and approved September 30, 2016 (received for review August 17, 2016) Peroxisomes are ubiquitous eukaryotic organelles that play pivotal signal type 1) and N-terminal PTS2 sequences, respectively roles in a suite of metabolic processes and often act coordinately (15, 16). In Arabidopsis, PEX5 is also required for PTS2 protein with other organelles, such as chloroplasts and mitochondria. Peroxi- import (16). Two membrane proteins, PEX13 and PEX14, form somes import proteins to the peroxisome matrix by peroxins (PEX the docking site for PEX5 and PEX7 (17, 18). After receptor proteins), but how the function of the PEX proteins is regulated is docking, cargo proteins translocate into the matrix before re- poorly understood. In this study, we identified the Arabidopsis RING ceptors are recycled to the cytosol (19–21). These processes re- (really interesting new gene) type E3 ubiquitin ligase SP1 [suppressor quire the RING (really interesting new gene)-finger peroxins of plastid protein import locus 1 (ppi1) 1] as a peroxisome membrane PEX2,PEX10,andPEX12(22–25), the ATPases PEX1 and protein with a regulatory role in peroxisome protein import. SP1 PEX6 and their membrane tether APEM9 (aberrant peroxisome interacts physically with the two components of the peroxisome morphology 9) and the ubiquitin-conjugating enzyme PEX4 and protein docking complex PEX13–PEX14 and the (RING)-finger per- its membrane anchor PEX22 (26–29). -
Figure S1. HAEC ROS Production and ML090 NOX5-Inhibition
Figure S1. HAEC ROS production and ML090 NOX5-inhibition. (a) Extracellular H2O2 production in HAEC treated with ML090 at different concentrations and 24 h after being infected with GFP and NOX5-β adenoviruses (MOI 100). **p< 0.01, and ****p< 0.0001 vs control NOX5-β-infected cells (ML090, 0 nM). Results expressed as mean ± SEM. Fold increase vs GFP-infected cells with 0 nM of ML090. n= 6. (b) NOX5-β overexpression and DHE oxidation in HAEC. Representative images from three experiments are shown. Intracellular superoxide anion production of HAEC 24 h after infection with GFP and NOX5-β adenoviruses at different MOIs treated or not with ML090 (10 nM). MOI: Multiplicity of infection. Figure S2. Ontology analysis of HAEC infected with NOX5-β. Ontology analysis shows that the response to unfolded protein is the most relevant. Figure S3. UPR mRNA expression in heart of infarcted transgenic mice. n= 12-13. Results expressed as mean ± SEM. Table S1: Altered gene expression due to NOX5-β expression at 12 h (bold, highlighted in yellow). N12hvsG12h N18hvsG18h N24hvsG24h GeneName GeneDescription TranscriptID logFC p-value logFC p-value logFC p-value family with sequence similarity NM_052966 1.45 1.20E-17 2.44 3.27E-19 2.96 6.24E-21 FAM129A 129. member A DnaJ (Hsp40) homolog. NM_001130182 2.19 9.83E-20 2.94 2.90E-19 3.01 1.68E-19 DNAJA4 subfamily A. member 4 phorbol-12-myristate-13-acetate- NM_021127 0.93 1.84E-12 2.41 1.32E-17 2.69 1.43E-18 PMAIP1 induced protein 1 E2F7 E2F transcription factor 7 NM_203394 0.71 8.35E-11 2.20 2.21E-17 2.48 1.84E-18 DnaJ (Hsp40) homolog. -
Amplification of Glyceronephosphate O-Acyltransferase and Recruitment of USP30 Stabilize DRP1 to Promote Hepatocarcinogenesis
Author Manuscript Published OnlineFirst on August 24, 2018; DOI: 10.1158/0008-5472.CAN-18-0340 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Amplification of glyceronephosphate O-acyltransferase and recruitment of USP30 stabilize DRP1 to promote hepatocarcinogenesis Li Gu #, 1, 2, Yahui Zhu #, 1, 2, Xi Lin 1, 2, Yajun Li 1, 2, Kasa Cui 1, 2, Edward V. Prochownik 3, Youjun Li 1, 2,* 1 Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China 2 Medical Research Institute, School of Medicine, Wuhan University, Wuhan 430071, China 3Division of Hematology/Oncology, Children's Hospital of Pittsburgh of UPMC, The Department of Microbiology and Molecular Genetics and The Hillman Cancer Center of UPMC The University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania 15224, USA #These authors contributed equally. Running title: GNPAT and USP30-mediated DRP1 stabilization in HCC. *Correspondence to: Youjun Li, Hubei Key Laboratory of Cell Homeostasis, College of Life Sciences, Wuhan University, Wuhan 430072, China; Medical Research Institute, School of Medicine, Wuhan University, Wuhan 430071, China. Tel.: (86-27) 6875-2050; Fax: (86-27) 6875-2560; E-mail: [email protected] Conflict of interest: The authors declare no conflicts of interest. Downloaded from cancerres.aacrjournals.org on September 25, 2021. © 2018 American Association for Cancer Research. Author Manuscript Published OnlineFirst on August 24, 2018; DOI: 10.1158/0008-5472.CAN-18-0340 -
Supplementary Material Computational Prediction of SARS
Supplementary_Material Computational prediction of SARS-CoV-2 encoded miRNAs and their putative host targets Sheet_1 List of potential stem-loop structures in SARS-CoV-2 genome as predicted by VMir. Rank Name Start Apex Size Score Window Count (Absolute) Direct Orientation 1 MD13 2801 2864 125 243.8 61 2 MD62 11234 11286 101 211.4 49 4 MD136 27666 27721 104 205.6 119 5 MD108 21131 21184 110 204.7 210 9 MD132 26743 26801 119 188.9 252 19 MD56 9797 9858 128 179.1 59 26 MD139 28196 28233 72 170.4 133 28 MD16 2934 2974 76 169.9 71 43 MD103 20002 20042 80 159.3 403 46 MD6 1489 1531 86 156.7 171 51 MD17 2981 3047 131 152.8 38 87 MD4 651 692 75 140.3 46 95 MD7 1810 1872 121 137.4 58 116 MD140 28217 28252 72 133.8 62 122 MD55 9712 9758 96 132.5 49 135 MD70 13171 13219 93 130.2 131 164 MD95 18782 18820 79 124.7 184 173 MD121 24086 24135 99 123.1 45 176 MD96 19046 19086 75 123.1 179 196 MD19 3197 3236 76 120.4 49 200 MD86 17048 17083 73 119.8 428 223 MD75 14534 14600 137 117 51 228 MD50 8824 8870 94 115.8 79 234 MD129 25598 25642 89 115.6 354 Reverse Orientation 6 MR61 19088 19132 88 197.8 271 10 MR72 23563 23636 148 188.8 286 11 MR11 3775 3844 136 185.1 116 12 MR94 29532 29582 94 184.6 271 15 MR43 14973 15028 109 183.9 226 27 MR14 4160 4206 89 170 241 34 MR35 11734 11792 111 164.2 37 52 MR5 1603 1652 89 152.7 118 53 MR57 18089 18132 101 152.7 139 94 MR8 2804 2864 122 137.4 38 107 MR58 18474 18508 72 134.9 237 117 MR16 4506 4540 72 133.8 311 120 MR34 10010 10048 82 132.7 245 133 MR7 2534 2578 90 130.4 75 146 MR79 24766 24808 75 127.9 59 150 MR65 21528 21576 99 127.4 83 180 MR60 19016 19049 70 122.5 72 187 MR51 16450 16482 75 121 363 190 MR80 25687 25734 96 120.6 75 198 MR64 21507 21544 70 120.3 35 206 MR41 14500 14542 84 119.2 94 218 MR84 26840 26894 108 117.6 94 Sheet_2 List of stable stem-loop structures based on MFE. -
Perkinelmer Genomics to Request the Saliva Swab Collection Kit for Patients That Cannot Provide a Blood Sample As Whole Blood Is the Preferred Sample
Zellweger Spectrum Disorder Panel Test Code D4611 Test Summary This panel analyzes 15 genes that have been associated with Zellweger Spectrum Disorders. Turn-Around-Time (TAT)* 3 - 5 weeks Acceptable Sample Types Whole Blood (EDTA) (Preferred sample type) DNA, Isolated Dried Blood Spots Saliva Acceptable Billing Types Self (patient) Payment Institutional Billing Commercial Insurance Indications for Testing This panel may be appropriate for individuals with signs and symptoms of a peroxisomal biogenesis disfuction and/or Zellweger syndrome spectrum disorder and/or a family history of these conditions. Test Description This panel analyzes 15 genes that have been associated with Zellweger Spectrum Disorders. Both sequencing and deletion/duplication (CNV) analysis will be performed on the coding regions of all genes included (unless otherwise marked). All analysis is performed utilizing Next Generation Sequencing (NGS) technology. CNV analysis is designed to detect the majority of deletions and duplications of three exons or greater in size. Smaller CNV events may also be detected and reported, but additional follow-up testing is recommended if a smaller CNV is suspected. All variants are classified according to ACMG guidelines. Condition Description Zellweger syndrome spectrum disorders include Zellweger syndrome (ZS), neonatal adrenoleukodystrophy (NALD), an intermediate form and infantile Refsum disease (IRD). Symptoms may include hypotonia, feeding problems, hearing and vision loss, seizures, distinctive facial characteristics and skeletal abnormalities. Zellweger spectrum disorder is estimated to occur in 1/50,000 individuals. Genes ACOX1, AMACR, HSD17B4, PEX1, PEX10, PEX12, PEX13, PEX14, PEX16, PEX19, PEX2, PEX26, PEX3, PEX5, PEX6 Test Methods and Limitations Sequencing is performed on genomic DNA using an Agilent targeted sequence capture method to enrich for the genes on this panel. -
Science Journals
RESEARCH ◥ (Phe35 and Phe52) are engaged in a p-stacking REPORT interaction in the center of the binding interface with PEX5 WxxxF ligands. This pair of aromatic side chains (II) separates two hydrophobic pock- DRUG DEVELOPMENT ets, which accommodate tryptophan (III) and phenylalanine (I) in the PEX5 WxxxF peptide motifs (Fig. 1A) (17, 18). To enable structure-based Inhibitors of PEX14 disrupt protein drug design, we determined the solution nuclear magnetic resonance (NMR) structure of the T. brucei PEX14 N-terminal domain (fig. S2, B and import into glycosomes and kill C, and table S1). The overall fold is very similar Trypanosoma to the human PEX14 N-terminal domain but ex- parasites hibits an additional C-terminal helix a5. The two hydrophobic pockets and the two phenylalanine M. Dawidowski,1,2* L. Emmanouilidis,1,2* V. C. Kalel,3* K. Tripsianes,4 K. Schorpp,5 residues in the binding surface are conserved in K. Hadian,5 M. Kaiser,6,7 P. Mäser,6,7 M. Kolonko,1 S. Tanghe,8 A. Rodriguez,8 T. brucei. Characteristic amino acid differences are W. Schliebs,3 R. Erdmann,3† M. Sattler,1,2† G. M. Popowicz1,2† observed in the PEX5 binding pockets of trypano- some PEX14 (Arg28,Asn31,Glu34,andAsp38)com- The parasitic protists of the Trypanosoma genus infect humans and domestic mammals, pared with human PEX14 (Leu28,Thr31,Lys34,and causing severe mortality and huge economic losses. The most threatening trypanosomiasis Asn38). This indicates that inhibitors can be de- is Chagas disease, affecting up to 12 million people in the Americas. -
A Long Non‐Coding RNA (Lrap) Modulates Brain Gene Expression
Received: 9 June 2020 Revised: 20 August 2020 Accepted: 1 September 2020 DOI: 10.1111/gbb.12698 ORIGINAL ARTICLE A long non-coding RNA (Lrap) modulates brain gene expression and levels of alcohol consumption in rats Laura M. Saba1 | Paula L. Hoffman1,2 | Gregg E. Homanics3 | Spencer Mahaffey1 | Swapna Vidhur Daulatabad4 | Sarath Chandra Janga4,5,6 | Boris Tabakoff1 1Department of Pharmaceutical Sciences, Skaggs School of Pharmacy & Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA 2Department of Pharmacology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA 3Departments of Anesthesiology, Neurobiology and Pharmacology & Chemical Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA 4Department of BioHealth Informatics, Indiana University School of Informatics and Computing, Indiana University–Purdue University Indianapolis, Indianapolis, Indiana, USA 5Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA 6Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, Indiana, USA Correspondence Boris Tabakoff, Department of Pharmaceutical Abstract Sciences, Skaggs School of Pharmacy & LncRNAs are important regulators of quantitative and qualitative features of the Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, 12850 transcriptome. We have used QTL and other statistical analyses to identify a gene E. Montview Blvd., Aurora, CO 80045. coexpression module associated with alcohol consumption. The “hub gene” of this Email: [email protected] module, Lrap (Long non-coding RNA for alcohol preference), was an unannotated Funding information transcript resembling a lncRNA. We used partial correlation analyses to establish that Banbury Fund; Ethanol Mechanisms in GABAAR gene targeted mice, Grant/Award Lrap is a major contributor to the integrity of the coexpression module. -
The Use of Genetic Analyses and Functional Assays for the Interpretation of Rare Variants in Pediatric Heart Disease
The use of genetic analyses and functional assays for the interpretation of rare variants in pediatric heart disease A dissertation submitted to the Division of Graduate Studies and Research, University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Molecular Genetics by Jeffrey A. Schubert Bachelor of Science, Mount St. Joseph University, 2012 Committee Chair: Stephanie M. Ware, M.D., Ph.D. Edmund Choi, Ph.D. Benjamin Landis, M.D. Anil Menon, Ph.D. David Wieczorek, Ph.D. Molecular Genetics, Biochemistry, and Microbiology Graduate Program College of Medicine, University of Cincinnati Cincinnati, Ohio, USA, 2018 ABSTRACT The use of next generation technologies such as whole exome sequencing (WES) has paved the way for discovering novel causes of Mendelian diseases. This has been demonstrated in pediatric heart diseases, including cardiomyopathy (CM) and familial thoracic aortic aneurysm (TAA). Each of these conditions carries a high risk of a serious cardiac event, including sudden heart failure or aortic rupture, which are often fatal. Patients with either disease can be asymptomatic before presenting with these events, which necessitates early diagnosis. Though there are many known genetic causes of disease for both conditions, there is still room for discovery of novel pathogenic genes and variants, as many patients have an undefined genetic diagnosis. WES covers the protein-coding portion of the genome, which yields a massive amount of data, though it comprises only 1% of the genome. Sorting and filtering sequencing information to identify (sometimes) a single base pair change responsible for the patient phenotype is challenging. Further, interpreting identified candidate variants must be done according to strict standards, which makes it difficult to definitively say whether a coding change is pathogenic or benign.