Systematic Detection of Functional Proteoform Groups from Bottom-Up Proteomic Datasets
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Western Blotting Guidebook
Western Blotting Guidebook Substrate Substrate Secondary Secondary Antibody Antibody Primary Primary Antibody Antibody Protein A Protein B 1 About Azure Biosystems At Azure Biosystems, we develop easy-to-use, high-performance imaging systems and high-quality reagents for life science research. By bringing a fresh approach to instrument design, technology, and user interface, we move past incremental improvements and go straight to innovations that substantially advance what a scientist can do. And in focusing on getting the highest quality data from these instruments—low backgrounds, sensitive detection, robust quantitation—we’ve created a line of reagents that consistently delivers reproducible results and streamlines workflows. Providing scientists around the globe with high-caliber products for life science research, Azure Biosystems’ innovations open the door to boundless scientific insights. Learn more at azurebiosystems.com. cSeries Imagers Sapphire Ao Absorbance Reagents & Biomolecular Imager Microplate Reader Blotting Accessories Corporate Headquarters 6747 Sierra Court Phone: (925) 307-7127 Please send purchase orders to: Suite A-B (9am–4pm Pacific time) [email protected] Dublin, CA 94568 To dial from outside of the US: For product inquiries, please email USA +1 925 307 7127 [email protected] FAX: (925) 905-1816 www.azurebiosystems.com • [email protected] Copyright © 2018 Azure Biosystems. All rights reserved. The Azure Biosystems logo, Azure Biosystems™, cSeries™, Sapphire™ and Radiance™ are trademarks of Azure Biosystems, Inc. More information about Azure Biosystems intellectual property assets, including patents, trademarks and copyrights, is available at www.azurebiosystems.com or by contacting us by phone or email. All other trademarks are property of their respective owners. -
TMEM106B in Humans and Vac7 and Tag1 in Yeast Are Predicted to Be Lipid Transfer Proteins
bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. TMEM106B in humans and Vac7 and Tag1 in yeast are predicted to be lipid transfer proteins Tim P. Levine* UCL Institute of Ophthalmology, 11-43 Bath Street, London EC1V 9EL, United Kingdom. ORCID 0000-0002-7231-0775 *Corresponding author and lead contact: [email protected] Data availability statement: The data that support this study are freely available in Harvard Dataverse at https://dataverse.harvard.edu/dataverse/LEA_2. Acknowledgements: work was funded by the Higher Education Funding Council for England and the NIHR Moorfields Biomedical Research Centre Conflict of interest disclosure: the author declares that there is no conflict of interest Keywords: Structural bioinformatics, Lipid transfer protein, LEA_2, TMEM106B, Vac7, YLR173W, Endosome, Lysosome Running Title: TMEM106B & Vac7: lipid transfer proteins 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.03.12.435176; this version posted March 12, 2021. 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. Abstract TMEM106B is an integral membrane protein of late endosomes and lysosomes involved in neuronal function, its over-expression being associated with familial frontotemporal lobar degeneration, and under-expression linked to hypomyelination. It has also been identified in multiple screens for host proteins required for productive SARS-CoV2 infection. Because standard approaches to understand TMEM106B at the sequence level find no homology to other proteins, it has remained a protein of unknown function. -
Molecular Biologist's Guide to Proteomics
Molecular Biologist's Guide to Proteomics Paul R. Graves and Timothy A. J. Haystead Microbiol. Mol. Biol. Rev. 2002, 66(1):39. DOI: 10.1128/MMBR.66.1.39-63.2002. Downloaded from Updated information and services can be found at: http://mmbr.asm.org/content/66/1/39 These include: REFERENCES This article cites 172 articles, 34 of which can be accessed free http://mmbr.asm.org/ at: http://mmbr.asm.org/content/66/1/39#ref-list-1 CONTENT ALERTS Receive: RSS Feeds, eTOCs, free email alerts (when new articles cite this article), more» on November 20, 2014 by UNIV OF KENTUCKY Information about commercial reprint orders: http://journals.asm.org/site/misc/reprints.xhtml To subscribe to to another ASM Journal go to: http://journals.asm.org/site/subscriptions/ MICROBIOLOGY AND MOLECULAR BIOLOGY REVIEWS, Mar. 2002, p. 39–63 Vol. 66, No. 1 1092-2172/02/$04.00ϩ0 DOI: 10.1128/MMBR.66.1.39–63.2002 Copyright © 2002, American Society for Microbiology. All Rights Reserved. Molecular Biologist’s Guide to Proteomics Paul R. Graves1 and Timothy A. J. Haystead1,2* Department of Pharmacology and Cancer Biology, Duke University,1 and Serenex Inc.,2 Durham, North Carolina 27710 INTRODUCTION .........................................................................................................................................................40 Definitions..................................................................................................................................................................40 Downloaded from Proteomics Origins ...................................................................................................................................................40 -
Protein Blotting Guide
Electrophoresis and Blotting Protein Blotting Guide BEGIN Protein Blotting Guide Theory and Products Part 1 Theory and Products 5 Chapter 5 Detection and Imaging 29 Total Protein Detection 31 Transfer Buffer Formulations 58 5 Chapter 1 Overview of Protein Blotting Anionic Dyes 31 Towbin Buffer 58 Towbin Buffer with SDS 58 Transfer 6 Fluorescent Protein Stains 31 Stain-Free Technology 32 Bjerrum Schafer-Nielsen Buffer 58 Detection 6 Colloidal Gold 32 Bjerrum Schafer-Nielsen Buffer with SDS 58 CAPS Buffer 58 General Considerations and Workflow 6 Immunodetection 32 Dunn Carbonate Buffer 58 Immunodetection Workflow 33 0.7% Acetic Acid 58 Chapter 2 Methods and Instrumentation 9 Blocking 33 Protein Blotting Methods 10 Antibody Incubations 33 Detection Buffer Formulations 58 Electrophoretic Transfer 10 Washes 33 General Detection Buffers 58 Tank Blotting 10 Antibody Selection and Dilution 34 Total Protein Staining Buffers and Solutions 59 Semi-Dry Blotting 11 Primary Antibodies 34 Substrate Buffers and Solutions 60 Microfiltration (Dot Blotting) Species-Specific Secondary Antibodies 34 Stripping Buffer 60 Antibody-Specific Ligands 34 Blotting Systems and Power Supplies 12 Detection Methods 35 Tank Blotting Cells 12 Colorimetric Detection 36 Part 3 Troubleshooting 63 Mini Trans-Blot® Cell and Criterion™ Blotter 12 Premixed and Individual Colorimetric Substrates 38 Transfer 64 Trans-Blot® Cell 12 Immun-Blot® Assay Kits 38 Electrophoretic Transfer 64 Trans-Blot® Plus Cell 13 Immun-Blot Amplified AP Kit 38 Microfiltration 65 Semi-Dry Blotting Cells -
Western Blot Handbook
Novus-lu-2945 Western Blot Handbook Learn more | novusbio.com Learn more | novusbio.com INTRODUCTION TO WESTERN BLOTTING Western blotting uses antibodies to identify individual proteins within a cell or tissue lysate. Antibodies bind to highly specific sequences of amino acids, known as epitopes. Because amino acid sequences vary from protein to protein, western blotting analysis can be used to identify and quantify a single protein in a lysate that contains thousands of different proteins First, proteins are separated from each other based on their size by SDS-PAGE gel electrophoresis. Next, the proteins are transferred from the gel to a membrane by application of an electrical current. The membrane can then be processed with primary antibodies specific for target proteins of interest. Next, secondary antibodies bound to enzymes are applied and finally a substrate that reacts with the secondary antibody-bound enzyme is added for detection of the antibody/protein complex. This step-by-step guide is intended to serve as a starting point for understanding, performing, and troubleshooting a standard western blotting protocol. Learn more | novusbio.com Learn more | novusbio.com TABLE OF CONTENTS 1-2 Controls Positive control lysate Negative control lysate Endogenous control lysate Loading controls 3-6 Sample Preparation Lysis Protease and phosphatase inhibitors Carrying out lysis Example lysate preparation from cell culture protocol Determination of protein concentration Preparation of samples for gel loading Sample preparation protocol 7 -
Development and Applications of Superfolder and Split Fluorescent Protein Detection Systems in Biology
International Journal of Molecular Sciences Review Development and Applications of Superfolder and Split Fluorescent Protein Detection Systems in Biology Jean-Denis Pedelacq 1,* and Stéphanie Cabantous 2,* 1 Institut de Pharmacologie et de Biologie Structurale, IPBS, Université de Toulouse, CNRS, UPS, 31077 Toulouse, France 2 Centre de Recherche en Cancérologie de Toulouse (CRCT), Inserm, Université Paul Sabatier-Toulouse III, CNRS, 31037 Toulouse, France * Correspondence: [email protected] (J.-D.P.); [email protected] (S.C.) Received: 15 June 2019; Accepted: 8 July 2019; Published: 15 July 2019 Abstract: Molecular engineering of the green fluorescent protein (GFP) into a robust and stable variant named Superfolder GFP (sfGFP) has revolutionized the field of biosensor development and the use of fluorescent markers in diverse area of biology. sfGFP-based self-associating bipartite split-FP systems have been widely exploited to monitor soluble expression in vitro, localization, and trafficking of proteins in cellulo. A more recent class of split-FP variants, named « tripartite » split-FP,that rely on the self-assembly of three GFP fragments, is particularly well suited for the detection of protein–protein interactions. In this review, we describe the different steps and evolutions that have led to the diversification of superfolder and split-FP reporter systems, and we report an update of their applications in various areas of biology, from structural biology to cell biology. Keywords: fluorescent protein; superfolder; split-GFP; bipartite; tripartite; folding; PPI 1. Superfolder Fluorescent Proteins: Progenitor of Split Fluorescent Protein (FP) Systems Previously described mutations that improve the physical properties and expression of green fluorescent protein (GFP) color variants in the host organism have already been the subject of several reviews [1–4] and will not be described here. -
Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts. -
Structural and Functional Studies on Photoactive Proteins and Proteins Involved in Cell Differentiation
Technische Universität München Fakultät für Organishe Chemie und Biochemie Max-Planck-Institut für Biochemie Abteilung Strukturforschung Biologische NMR-Arbeitsgruppe STRUCTURAL AND FUNCTIONAL STUDIES ON PHOTOACTIVE PROTEINS AND PROTEINS INVOLVED IN CELL DIFFERENTIATION Pawel Smialowski Vollständiger Abdruck der von der Fakultät für Chemie der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigten Dissertation. Vorsitzender: Univ.-Prof. Dr. Dr. A. Bacher Prüfer der Dissertation: 1. apl. Prof. Dr. Dr. h.c. R. Huber 2. Univ.-Prof. Dr. W. Hiller Die Dissertation wurde am 10.02.2004 bei der Technischen Universität München eingereicht und durch die Fakultät für Chemie am 17.03.2004 angenommen. PUBLICATIONS Parts of this thesis have been or will be published in due course: Markus H. J. Seifert, Dorota Ksiazek, M. Kamran Azim, Pawel Smialowski, Nedilijko Budisa and Tad A. Holak Slow Exchange in the Chromophore of a Green Fluorescent Protein Variant J. Am. Chem. Soc. 2002, 124, 7932-7942. Markus H. J. Seifert, Julia Georgescu, Dorota Ksiazek, Pawel Smialowski, Till Rehm, Boris Steipe and Tad A. Holak Backbone Dynamics of Green Fluorescent Protein and the effect of Histidine 148 Substitution Biochemistry. 2003 Mar 11; 42(9): 2500-12. Pawel Smialowski, Mahavir Singh, Aleksandra Mikolajka, Narashimsha Nalabothula, Sudipta Majumdar, Tad A. Holak The human HLH proteins MyoD and Id–2 do not interact directly with either pRb or CDK6. FEBS Letters (submitted) 2004. ABBREVIATIONS ABBREVIATIONS -
Anti-TMEM106A (RABBIT) Antibody - 600-401-FH1
Anti-TMEM106A (RABBIT) Antibody - 600-401-FH1 Code: 600-401-FH1 Size: 100 µg Product Description: Anti-TMEM106A (RABBIT) Antibody - 600-401-FH1 Concentration: 1 mg/mL by UV absorbance at 280 nm PhysicalState: Liquid (sterile filtered) Label Unconjugated Host Rabbit Gene Name TMEM106A Species Reactivity Human, mouse Buffer 0.01 M Sodium Phosphate, 0.25 M Sodium Chloride, pH 7.2 Stabilizer None Preservative 0.02% (w/v) Sodium Azide Storage Condition Store vial at -20° C prior to opening. Aliquot contents and freeze at -20° C or below for extended storage. Avoid cycles of freezing and thawing. Centrifuge product if not completely clear after standing at room temperature. This product is stable for several weeks at 4° C as an undiluted liquid. Dilute only prior to immediate use. Synonyms TMEM106A Antibody, Transmembrane protein 106A Application Note Anti-TMEM106A Antibody has been tested for use in ELISA, Western Blotting, Immunohistochemistry and Immunofluorescence. Specific conditions for reactivity should be optimized by the end user. Expect a band at approximately 29 kDa in Western Blots of specific cell lysates and tissues. Background Transmembrane protein 106A (TMEM106A) is a single-pass transmembrane protein that is closely related to TMEM106B, a protein that is thought to be a novel risk factor for frontotemporal lobar degeneration (FTLD), a group of clinically, pathologically and genetically heterogeneous disorders associated with atrophy in the frontal lobe and temporal lobe of the brain. The actual roles of TMEM106A and TMEM106B are still undetermined; however, as TMEM106B is involved in FTLD, it is possible that TMEM106A may also be a risk factor for FTLD. -
Genetic Regulation of Tmem106b in the Pathogenesis of Frontotemporal Lobar Degeneration
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2017 Genetic Regulation Of Tmem106b In The Pathogenesis Of Frontotemporal Lobar Degeneration Michael Gallagher University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Genetics Commons, Molecular Biology Commons, and the Neuroscience and Neurobiology Commons Recommended Citation Gallagher, Michael, "Genetic Regulation Of Tmem106b In The Pathogenesis Of Frontotemporal Lobar Degeneration" (2017). Publicly Accessible Penn Dissertations. 2294. https://repository.upenn.edu/edissertations/2294 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/2294 For more information, please contact [email protected]. Genetic Regulation Of Tmem106b In The Pathogenesis Of Frontotemporal Lobar Degeneration Abstract Neurodegenerative diseases are an emerging global health crisis, with the projected global cost of dementia alone expected to exceed $1 trillion, or >1% of world GDP, by 2018. However, there are no disease-modifying treatments for the major neurodegenerative diseases, such as Alzheimer’s disease, Parkinson’s disease, frontotemporal lobar degeneration (FTLD), and amyotrophic lateral sclerosis. Therefore, there is an urgent need for a better understanding of the pathophysiology underlying these diseases. While genome-wide association studies (GWAS) have identified ~200 genetic ariantsv that are associated with risk of developing neurodegenerative disease, the biological mechanisms underlying these associations are largely unknown. This dissertation investigates the mechanisms by which common genetic variation at TMEM106B, a GWAS-identified risk locus for FTLD, influences disease risk. First, using genetic and clinical data from thirty American and European medical centers, I demonstrate that the TMEM106B locus acts as a genetic modifier of a common Mendelian form of FTLD. -
Increased Expression of the Frontotemporal Dementia Risk Factor Tmem106b Causes C9orf72-Dependent Alterations in Lysosomes
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2016 Increased Expression of Frontotemporal Dementia Risk Factor Tmem106b Alters Lysosomal and Autophagosomal Pathways Johanna Irene Busch University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Cell Biology Commons, and the Neuroscience and Neurobiology Commons Recommended Citation Busch, Johanna Irene, "Increased Expression of Frontotemporal Dementia Risk Factor Tmem106b Alters Lysosomal and Autophagosomal Pathways" (2016). Publicly Accessible Penn Dissertations. 1630. https://repository.upenn.edu/edissertations/1630 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/1630 For more information, please contact [email protected]. Increased Expression of Frontotemporal Dementia Risk Factor Tmem106b Alters Lysosomal and Autophagosomal Pathways Abstract Frontotemporal lobar degeneration (FTLD) is an important cause of dementia in individuals under age 65. Common variants in the TMEM106B gene were previously discovered by genome-wide association (GWAS) to confer genetic risk for FTLD-TDP, the largest neuropathological subset of FTLD (p=1x10-11, OR=1.6). Prior to its discovery in the GWAS, TMEM106B, or Transmembrane Protein 106B, was uncharacterized. To further understand the role of TMEM106B in disease pathogenesis, we used immortalized as well as primary neurons to assess the cell biological effects of disease-relevant levels of TMEM106B overexpression and the interaction of TMEM106B with additional disease-associated proteins. We also employed immunostaining to assess its expression pattern in human brain from controls and FTLD cases. We discovered that TMEM106B is a highly glycosylated, Type II late endosomal/lysosomal transmembrane protein. We found that it is expressed by neurons, glia, and peri-vascular cells in disease- affected and unaffected regions of human brain from normal controls in a cytoplasmic, perikaryal distribution. -
The Proteasomal Deubiquitinating Enzyme PSMD14 Regulates Macroautophagy by Controlling Golgi-To-ER Retrograde Transport
cells Article The Proteasomal Deubiquitinating Enzyme PSMD14 Regulates Macroautophagy by Controlling Golgi-to-ER Retrograde Transport 1, 2 1, 3,4 Hianara A Bustamante y, Karina Cereceda , Alexis E González z, Guillermo E Valenzuela , Yorka Cheuquemilla 4, Sergio Hernández 2, Eloisa Arias-Muñoz 2, Cristóbal Cerda-Troncoso 2 , Susanne Bandau 5, Andrea Soza 2 , Gudrun Kausel 3 , Bredford Kerr 2, Gonzalo A Mardones 1,6, Jorge Cancino 2, Ronald T Hay 5, Alejandro Rojas-Fernandez 4,5,* and Patricia V Burgos 2,7,* 1 Instituto de Fisiología, Facultad de Medicina, Universidad Austral de Chile, Valdivia 5110566, Chile; [email protected] (H.A.B.); [email protected] (A.E.G.); [email protected] (G.A.M.) 2 Centro de Biología Celular y Biomedicina (CEBICEM), Facultad de Medicina y Ciencia, Universidad San Sebastián, Lota 2465, Santiago 7510157, Chile; [email protected] (K.C.); [email protected] (S.H.); [email protected] (E.A.-M.); [email protected] (C.C.-T.); [email protected] (A.S.); [email protected] (B.K.); [email protected] (J.C.) 3 Instituto de Bioquímica y Microbiología, Facultad de Ciencias, Universidad Austral de Chile, Valdivia 5110566, Chile; [email protected] (G.E.V.); [email protected] (G.K.) 4 Instituto de Medicina & Centro Interdisciplinario de Estudios del Sistema Nervioso (CISNe), Universidad Austral de Chile, Valdivia 5110566, Chile; [email protected] 5 Centre for Gene Regulation and Expression, College of Life Sciences, University of Dundee, DD1 4HN, Dundee DD1 4HN UK; [email protected]