Profiling APOL1 Nephropathy Risk Variants in Genome-Edited Kidney Organoids with Single-Cell Transcriptomics
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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. -
The Physiological Functions of Mammalian Endoplasmic Oxidoreductin 1: on Disulfides and More
ANTIOXIDANTS & REDOX SIGNALING Volume 16, Number 10, 2012 FORUM REVIEW ARTICLE ª Mary Ann Liebert, Inc. DOI: 10.1089/ars.2011.4475 The Physiological Functions of Mammalian Endoplasmic Oxidoreductin 1: On Disulfides and More Thomas Ramming and Christian Appenzeller-Herzog Abstract Significance: The oxidative process of disulfide-bond formation is essential for the folding of most secretory and membrane proteins in the endoplasmic reticulum (ER). It is driven by electron relay pathways that transfer two electrons derived from the fusion of two adjacent cysteinyl side chains onto various types of chemical oxidants. The conserved, ER-resident endoplasmic oxidoreductin 1 (Ero1) sulfhydryl oxidases that reduce molecular oxygen to generate an active-site disulfide represent one of these pathways. In mammals, two family members exist, Ero1a and Ero1b. Recent Advances: The two mammalian Ero1 enzymes differ in transcriptional and post- translational regulation, tissue distribution, and catalytic turnover. A specific protein–protein interaction be- tween either isoform and protein disulfide isomerase (PDI) facilitates the propagation of disulfides from Ero1 via PDI to nascent polypeptides, and inbuilt oxidative shutdown mechanisms in Ero1a and Ero1b prevent excessive oxidation of PDI. Critical Issues: Besides disulfide-bond generation, Ero1a also regulates calcium release from the ER and the secretion of disulfide-linked oligomers through its reversible association with the chaperone ERp44. This review explores the functional repertoire and possible redundancy of mammalian Ero1 enzymes. Future Directions: Systematic analyses of different knockout mouse models will be the most promising strategy to shed new light on unique and tissue-specific roles of Ero1a and Ero1b. Moreover, in-depth characterization of the known physical interactions of Ero1 with peroxidases and PDI family members will help broaden our functional and mechanistic understanding of Ero1 enzymes. -
Identification of Novel Mouse Delta1 Target Genes: Combination of Transcriptomics and Proteomics
Institut für Experimentelle Genetik GSF – Forschungszentrum für Umwelt und Gesundheit Identification of novel mouse Delta1 target genes: Combination of transcriptomics and proteomics Christine Hutterer Vollständiger Abdruck der von der Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. A. Gierl Prüfer der Dissertation: 1. apl. Prof. Dr. J. Adamski 2. Univ.-Prof. Dr. W. Wurst Die Dissertation wurde am 31.01.2005 bei der Technischen Universität München eingereicht und durch die Fakultät Wissenschaftszentrum Weihenstephan für Ernährung, Landnutzung und Umwelt am 13.05.2005 angenommen. DANKSAGUNG Besonderer Dank gebührt Prof. Dr. Martin Hrabé de Angelis, Leiter des Instituts für experimentelle Genetik. Unter anderem durch seine Leidenschaft für die Wissenschaft wollte ich am IEG arbeiten. Ich möchte mich jedoch nicht nur für die wissenschaftlichen Ratschläge und Diskussionen bedanken, sondern auch für viele interessante nicht-wissenschaftliche Gespräche. Ebenfalls besonders bedanke ich mich bei meinem Doktorvater Dr. Jurek Adamski, dessen fachliche Meinung und positive Einstellung mich sehr motivierte. Großen Dank möchte ich der gesamten „Beckers-Arbeitsgruppe“ aussprechen. Allen voran Dr. Johannes Beckers, Leiter der Genregulation und Expression Profiling Arbeitsgruppe, für die Überlassung des Themas und die Betreuung meiner Doktorarbeit, die mir viel Entscheidungsfreiraum ließ, sowie für zahlreiche gute Ideen und lehrreiche Gespräche. Bei Tomek Mijalski möchte ich mich für seine stetige Hilfsbereitschaft und die entstandene Freundschaft besonders bedanken. Weiterhin bedanke ich mich ganz herzlich bei Dr. Sonja Becker für wertvolle Labortricks und Kniffe, die Durchsicht des Manuskripts und ihre herzliche Art. Vielen Dank an dieser Stelle auch an Kathrin Seidel für die gute technische Unterstützung im Labor und mit der Mausarbeit. -
Open Data for Differential Network Analysis in Glioma
International Journal of Molecular Sciences Article Open Data for Differential Network Analysis in Glioma , Claire Jean-Quartier * y , Fleur Jeanquartier y and Andreas Holzinger Holzinger Group HCI-KDD, Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 2/V, 8036 Graz, Austria; [email protected] (F.J.); [email protected] (A.H.) * Correspondence: [email protected] These authors contributed equally to this work. y Received: 27 October 2019; Accepted: 3 January 2020; Published: 15 January 2020 Abstract: The complexity of cancer diseases demands bioinformatic techniques and translational research based on big data and personalized medicine. Open data enables researchers to accelerate cancer studies, save resources and foster collaboration. Several tools and programming approaches are available for analyzing data, including annotation, clustering, comparison and extrapolation, merging, enrichment, functional association and statistics. We exploit openly available data via cancer gene expression analysis, we apply refinement as well as enrichment analysis via gene ontology and conclude with graph-based visualization of involved protein interaction networks as a basis for signaling. The different databases allowed for the construction of huge networks or specified ones consisting of high-confidence interactions only. Several genes associated to glioma were isolated via a network analysis from top hub nodes as well as from an outlier analysis. The latter approach highlights a mitogen-activated protein kinase next to a member of histondeacetylases and a protein phosphatase as genes uncommonly associated with glioma. Cluster analysis from top hub nodes lists several identified glioma-associated gene products to function within protein complexes, including epidermal growth factors as well as cell cycle proteins or RAS proto-oncogenes. -
Anti-ERO1L Antibody (ARG42132)
Product datasheet [email protected] ARG42132 Package: 50 μg anti-ERO1L antibody Store at: -20°C Summary Product Description Goat Polyclonal antibody recognizes ERO1L Tested Reactivity Hu Predict Reactivity Ms, Rat, Cow, Dog, Pig Tested Application IHC-P, WB Host Goat Clonality Polyclonal Isotype IgG Target Name ERO1L Antigen Species Human Immunogen Synthetic peptide around the internal region of Human ERO1L. (C-QSDEVPDGIKSASY) (NP_055399.1) Conjugation Un-conjugated Alternate Names ERO1-like protein alpha; ERO1L; Endoplasmic oxidoreductin-1-like protein; ERO1-alpha; ERO1-L-alpha; Ero1alpha; Oxidoreductin-1-L-alpha; EC 1.8.4.-; ERO1LA; ERO1-L Application Instructions Application table Application Dilution IHC-P 5 µg/ml WB 0.1 - 0.3 µg/ml Application Note WB: Recommend incubate at RT for 1h. IHC-P: Antigen Retrieval: Steam tissue section in Citrate buffer (pH 6.0). * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control A431 Calculated Mw 54 kDa Observed Size ~ 70 kDa Properties Form Liquid Purification Ammonium sulphate precipitation followed by affinity purification with immunogen. Buffer Tris saline (pH 7.3), 0.02% Sodium azide and 0.5% BSA. Preservative 0.02% Sodium azide Stabilizer 0.5% BSA www.arigobio.com 1/2 Concentration 0.5 mg/ml Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. -
A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family
Rockefeller University Digital Commons @ RU Student Theses and Dissertations 2018 A High-Throughput Approach to Uncover Novel Roles of APOBEC2, a Functional Orphan of the AID/APOBEC Family Linda Molla Follow this and additional works at: https://digitalcommons.rockefeller.edu/ student_theses_and_dissertations Part of the Life Sciences Commons A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY A Thesis Presented to the Faculty of The Rockefeller University in Partial Fulfillment of the Requirements for the degree of Doctor of Philosophy by Linda Molla June 2018 © Copyright by Linda Molla 2018 A HIGH-THROUGHPUT APPROACH TO UNCOVER NOVEL ROLES OF APOBEC2, A FUNCTIONAL ORPHAN OF THE AID/APOBEC FAMILY Linda Molla, Ph.D. The Rockefeller University 2018 APOBEC2 is a member of the AID/APOBEC cytidine deaminase family of proteins. Unlike most of AID/APOBEC, however, APOBEC2’s function remains elusive. Previous research has implicated APOBEC2 in diverse organisms and cellular processes such as muscle biology (in Mus musculus), regeneration (in Danio rerio), and development (in Xenopus laevis). APOBEC2 has also been implicated in cancer. However the enzymatic activity, substrate or physiological target(s) of APOBEC2 are unknown. For this thesis, I have combined Next Generation Sequencing (NGS) techniques with state-of-the-art molecular biology to determine the physiological targets of APOBEC2. Using a cell culture muscle differentiation system, and RNA sequencing (RNA-Seq) by polyA capture, I demonstrated that unlike the AID/APOBEC family member APOBEC1, APOBEC2 is not an RNA editor. Using the same system combined with enhanced Reduced Representation Bisulfite Sequencing (eRRBS) analyses I showed that, unlike the AID/APOBEC family member AID, APOBEC2 does not act as a 5-methyl-C deaminase. -
TMX1 Determines Cancer Cell Metabolism As a Thiol- Based Modulator of ER–Mitochondria Ca2+ Flux
JCB: Article TMX1 determines cancer cell metabolism as a thiol- based modulator of ER–mitochondria Ca2+ flux Arun Raturi,1* Tomás Gutiérrez,1* Carolina Ortiz‑Sandoval,1 Araya Ruangkittisakul,2 Maria Sol Herrera‑Cruz,1 Jeremy P. Rockley,1 Kevin Gesson,1 Dimitar Ourdev,1 Phing‑How Lou,3 Eliana Lucchinetti,3 Nasser Tahbaz,1 Michael Zaugg,3 Shairaz Baksh,4,5,6,7 Klaus Ballanyi,2 and Thomas Simmen1 1Department of Cell Biology, 2Department of Physiology, 3Department of Anesthesiology and Pain Medicine, 4Department of Pediatrics, 5Department of Biochemistry, and 6Department of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G2H7, Canada 7Alberta Inflammatory Bowel Disease Consortium, University of Alberta, Edmonton, Alberta T6G2H7, Canada The flux of Ca2+ from the endoplasmic reticulum (ER) to mitochondria regulates mitochondria metabolism. Within tumor tissue, mitochondria metabolism is frequently repressed, leading to chemotherapy resistance and increased growth of the tumor mass. Therefore, altered ER–mitochondria Ca2+ flux could be a cancer hallmark, but only a few regulatory proteins of this mechanism are currently known. One candidate is the redox-sensitive oxidoreductase TMX1 that is enriched on the mitochondria-associated membrane (MAM), the site of ER–mitochondria Ca2+ flux. Our findings demonstrate that cancer cells with low TMX1 exhibit increased ER Ca2+, accelerated cytosolic Ca2+ clearance, and re- duced Ca2+ transfer to mitochondria. Thus, low levels of TMX1 reduce ER–mitochondria contacts, shift bioenergetics away from mitochondria, and accelerate tumor growth. For its role in intracellular ER–mitochondria Ca2+ flux, TMX1 requires its thioredoxin motif and palmitoylation to target to the MAM. -
Gene Expression Profiles Reveal Alternative Targets of Therapeutic Intervention for the Treatment of Drug-Resistant Non-Small Cell Lung Cancers
University of Kentucky UKnowledge Theses and Dissertations--Pharmacy College of Pharmacy 2017 GENE EXPRESSION PROFILES REVEAL ALTERNATIVE TARGETS OF THERAPEUTIC INTERVENTION FOR THE TREATMENT OF DRUG-RESISTANT NON-SMALL CELL LUNG CANCERS Madeline J. Krentz Gober University of Kentucky, [email protected] Author ORCID Identifier: https://orcid.org/0000-0001-7761-6741 Digital Object Identifier: https://doi.org/10.13023/ETD.2017.309 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Krentz Gober, Madeline J., "GENE EXPRESSION PROFILES REVEAL ALTERNATIVE TARGETS OF THERAPEUTIC INTERVENTION FOR THE TREATMENT OF DRUG-RESISTANT NON-SMALL CELL LUNG CANCERS" (2017). Theses and Dissertations--Pharmacy. 78. https://uknowledge.uky.edu/pharmacy_etds/78 This Doctoral Dissertation is brought to you for free and open access by the College of Pharmacy at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Pharmacy by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known. -
TMX2) Regulates the Ran Protein Gradient and Importin-Β-Dependent Nuclear Cargo Transport Ami Oguro1,2 & Susumu Imaoka1
www.nature.com/scientificreports OPEN Thioredoxin-related transmembrane protein 2 (TMX2) regulates the Ran protein gradient and importin-β-dependent nuclear cargo transport Ami Oguro1,2 & Susumu Imaoka1 TMX2 is a thioredoxin family protein, but its functions have not been clarifed. To elucidate the function of TMX2, we explored TMX2-interacting proteins by LC-MS. As a result, importin-β, Ran GTPase (Ran), RanGAP, and RanBP2 were identifed. Importin-β is an adaptor protein which imports cargoes from cytosol to the nucleus, and is exported into the cytosol by interaction with RanGTP. At the cytoplasmic nuclear pore, RanGAP and RanBP2 facilitate hydrolysis of RanGTP to RanGDP and the disassembly of the Ran-importin-β complex, which allows the recycling of importin-β and reentry of Ran into the nucleus. Despite its interaction of TMX2 with importin-β, we showed that TMX2 is not a transport cargo. We found that TMX2 localizes in the outer nuclear membrane with its N-terminus and C-terminus facing the cytoplasm, where it co-localizes with importin-β and Ran. Ran is predominantly distributed in the nucleus, but TMX2 knockdown disrupted the nucleocytoplasmic Ran gradient, and the cysteine 112 residue of Ran was important in its regulation by TMX2. In addition, knockdown of TMX2 suppressed importin-β-mediated transport of protein. These results suggest that TMX2 works as a regulator of protein nuclear transport, and that TMX2 facilitates the nucleocytoplasmic Ran cycle by interaction with nuclear pore proteins. Tioredoxin-related transmembrane proteins (TMXs) are protein disulfde isomerase (PDI) family members and possess a transmembrane region. -
A Unified Gene Catalog for the Laboratory Mouse Reference Genome
Mamm Genome (2015) 26:295–304 DOI 10.1007/s00335-015-9571-1 A unified gene catalog for the laboratory mouse reference genome 1 1 1 1 1 Y. Zhu • J. E. Richardson • P. Hale • R. M. Baldarelli • D. J. Reed • 1 1 1,2 1 J. M. Recla • R. Sinclair • T. B. K. Reddy • C. J. Bult Received: 6 March 2015 / Accepted: 3 June 2015 / Published online: 18 June 2015 Ó The Author(s) 2015. This article is published with open access at Springerlink.com Abstract We report here a semi-automated process by fall into categories that require manual inspection to which mouse genome feature predictions and curated resolve structural differences in the gene models from annotations (i.e., genes, pseudogenes, functional RNAs, different annotation sources. Using the MGI unified gene etc.) from Ensembl, NCBI and Vertebrate Genome Anno- catalog, researchers can easily generate a comprehensive tation database (Vega) are reconciled with the genome report of mouse genome features from a single source and features in the Mouse Genome Informatics (MGI) database compare the details of gene and transcript structure using (http://www.informatics.jax.org) into a comprehensive and MGI’s mouse genome browser. non-redundant catalog. Our gene unification method employs an algorithm (fjoin—feature join) for efficient detection of genome coordinate overlaps among features represented in two annotation data sets. Following the Introduction analysis with fjoin, genome features are binned into six possible categories (1:1, 1:0, 0:1, 1:n, n:1, n:m) based on Generating lists of genes and other genome features in coordinate overlaps. -
A SARS-Cov-2 Protein Interaction Map Reveals Targets for Drug Repurposing
Article A SARS-CoV-2 protein interaction map reveals targets for drug repurposing https://doi.org/10.1038/s41586-020-2286-9 A list of authors and affiliations appears at the end of the paper Received: 23 March 2020 Accepted: 22 April 2020 A newly described coronavirus named severe acute respiratory syndrome Published online: 30 April 2020 coronavirus 2 (SARS-CoV-2), which is the causative agent of coronavirus disease 2019 (COVID-19), has infected over 2.3 million people, led to the death of more than Check for updates 160,000 individuals and caused worldwide social and economic disruption1,2. There are no antiviral drugs with proven clinical efcacy for the treatment of COVID-19, nor are there any vaccines that prevent infection with SARS-CoV-2, and eforts to develop drugs and vaccines are hampered by the limited knowledge of the molecular details of how SARS-CoV-2 infects cells. Here we cloned, tagged and expressed 26 of the 29 SARS-CoV-2 proteins in human cells and identifed the human proteins that physically associated with each of the SARS-CoV-2 proteins using afnity-purifcation mass spectrometry, identifying 332 high-confdence protein–protein interactions between SARS-CoV-2 and human proteins. Among these, we identify 66 druggable human proteins or host factors targeted by 69 compounds (of which, 29 drugs are approved by the US Food and Drug Administration, 12 are in clinical trials and 28 are preclinical compounds). We screened a subset of these in multiple viral assays and found two sets of pharmacological agents that displayed antiviral activity: inhibitors of mRNA translation and predicted regulators of the sigma-1 and sigma-2 receptors. -
The Pivotal Role of Erp44 in Patrolling Protein Secretion Tiziana Tempio1,2 and Tiziana Anelli1,2,*
© 2020. Published by The Company of Biologists Ltd | Journal of Cell Science (2020) 133, jcs240366. doi:10.1242/jcs.240366 REVIEW The pivotal role of ERp44 in patrolling protein secretion Tiziana Tempio1,2 and Tiziana Anelli1,2,* ABSTRACT et al., 2001; Pagani et al., 2000). Oxidized Ero1α recharges itself by Interactions between protein ligands and receptors are the main electron transfer to molecular oxygen (Tu and Weissman, 2002), language of intercellular communication; hence, how cells select which generates one molecule of H2O2 for every disulfide bond that is proteins to be secreted or presented on the plasma membrane is a formed in the nascent proteins. central concern in cell biology. A series of checkpoints are located The tenet of quality control (QC) is that only when a given step in along the secretory pathway, which ensure the fidelity of such protein their structural maturation process is complete can proteins move to signals (quality control). Proteins that pass the checkpoints operated downstream compartments. Two theories have been proposed to in the endoplasmic reticulum (ER) by the binding immunoglobulin explain the selectivity of protein secretion: cargo selection and bulk protein (BiP; also known as HSPA5 and GRP78) and the calnexin– flow. The first entails that export is promoted by cargo receptors, such – calreticulin systems, must still overcome additional scrutiny in the ER- as the lectins ER Golgi intermediate compartment (ERGIC) 53 kDa Golgi intermediate compartment (ERGIC) and the Golgi. One of the protein (ERGIC-53; also known as LMAN1), the ERGIC-53-like main players of this process in all metazoans is the ER-resident protein (ERGL; also known as LMAN1L) and the VIP-36-like protein 44 (ERp44); by cycling between the ER and the Golgi, ERp44 protein (VIPL; also known as LMAN2L) for glycoproteins (Breuza controls the localization of key enzymes designed to act in the ER but et al., 2004; Kwon et al., 2016; Neve et al., 2003; Nufer et al., 2003; that are devoid of suitable localization motifs.