1 Control of Ribosomal Protein Synthesis By
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Supplementary Data
Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2). -
Crystal Structure of the Atpase Domain of Translation Initiation
Research Article 671 Crystal structure of the ATPase domain of translation initiation factor 4A from Saccharomyces cerevisiae — the prototype of the DEAD box protein family Jörg Benz1*, Hans Trachsel2 and Ulrich Baumann1* Background: Translation initiation factor 4A (eIF4A) is the prototype of the Addresses: 1Departement für Chemie und DEAD-box family of proteins. DEAD-box proteins are involved in a variety of Biochemie, Universität Bern, Freiestrasse 3, Germany and 2Institut für Biochemie und cellular processes including splicing, ribosome biogenesis and RNA Molekularbiologie, Universität Bern, Bühlstrasse 28, degradation. Energy from ATP hydrolysis is used to perform RNA unwinding CH-3012 Bern, Switzerland. during initiation of mRNA translation. The presence of eIF4A is required for the 43S preinitiation complex to bind to and scan the mRNA. *Corresponding authors. E-mail: [email protected] [email protected] Results: We present here the crystal structure of the nucleotide-binding domain of eIF4A at 2.0 Å and the structures with bound adenosinediphosphate Key words: crystal, DEAD box, NTPase, translation and adenosinetriphosphate at 2.2 Å and 2.4 Å resolution, respectively. The initiation, X-ray structure of the apo form of the enzyme has been determined by multiple Received: 22 February 1999 isomorphous replacement. The ATPase domain contains a central seven- Revisions requested: 18 March 1999 stranded β sheet flanked by nine α helices. Despite low sequence homology to Revisions received: 19 April 1999 the NTPase domains of RNA and DNA helicases, the three-dimensional fold of Accepted: 22 April 1999 eIF4A is nearly identical to the DNA helicase PcrA of Bacillus Published: 1 June 1999 stearothermophilus and to the RNA helicase NS3 of hepatitis C virus. -
Autophagy: from Basic Science to Clinical Application
nature publishing group REVIEW See COMMENTARY page XX Autophagy: from basic science to clinical application J Va n L i m b e r g e n 1 , 2 , 3 , C S t e v e n s 4 , E R N i m m o 1 , D C W i l s o n 2 , 3 a n d J S a t s a n g i 1 Autophagy is a cellular pathway involved in protein and organelle degradation, which is likely to represent an innate adaptation to starvation. In times of nutrient deficiency, the cell can self-digest and recycle some nonessential components through nonselective autophagy, thus sustaining minimal growth requirements until a food source becomes available. Over recent years, autophagy has been implicated in an increasing number of clinical scenarios, notably infectious diseases, cancer, neurodegenerative diseases, and autoimmunity. The recent identification of the importance of autophagy genes in the genetic susceptibility to Crohn ’ s disease suggests that a selective autophagic response may play a crucial role in the pathogenesis of common complex immune-mediated diseases. In this review, we discuss the autophagic mechanisms, their molecular regulation, and summarize their clinical relevance. This progress has led to great interest in the therapeutic potential of manipulation of both selective and nonselective autophagy in established disease. INTRODUCTION The ability to adapt to environmental change is essential for sur- Autophagy encompasses several distinct processes involving vival. This is true for the organism as a whole and for individual the delivery of portions of the cytoplasm to the lysosome for cells alike. -
Supplementary Materials: Evaluation of Cytotoxicity and Α-Glucosidase Inhibitory Activity of Amide and Polyamino-Derivatives of Lupane Triterpenoids
Supplementary Materials: Evaluation of cytotoxicity and α-glucosidase inhibitory activity of amide and polyamino-derivatives of lupane triterpenoids Oxana B. Kazakova1*, Gul'nara V. Giniyatullina1, Akhat G. Mustafin1, Denis A. Babkov2, Elena V. Sokolova2, Alexander A. Spasov2* 1Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences, 71, pr. Oktyabrya, 450054 Ufa, Russian Federation 2Scientific Center for Innovative Drugs, Volgograd State Medical University, Novorossiyskaya st. 39, Volgograd 400087, Russian Federation Correspondence Prof. Dr. Oxana B. Kazakova Ufa Institute of Chemistry of the Ufa Federal Research Centre of the Russian Academy of Sciences 71 Prospeсt Oktyabrya Ufa, 450054 Russian Federation E-mail: [email protected] Prof. Dr. Alexander A. Spasov Scientific Center for Innovative Drugs of the Volgograd State Medical University 39 Novorossiyskaya st. Volgograd, 400087 Russian Federation E-mail: [email protected] Figure S1. 1H and 13C of compound 2. H NH N H O H O H 2 2 Figure S2. 1H and 13C of compound 4. NH2 O H O H CH3 O O H H3C O H 4 3 Figure S3. Anticancer screening data of compound 2 at single dose assay 4 Figure S4. Anticancer screening data of compound 7 at single dose assay 5 Figure S5. Anticancer screening data of compound 8 at single dose assay 6 Figure S6. Anticancer screening data of compound 9 at single dose assay 7 Figure S7. Anticancer screening data of compound 12 at single dose assay 8 Figure S8. Anticancer screening data of compound 13 at single dose assay 9 Figure S9. Anticancer screening data of compound 14 at single dose assay 10 Figure S10. -
RPL36 Antibody Kit
Leader in Biomolecular Solutions for Life Science [One Step]RPL36 Antibody Kit Catalog No.: RK05700 Basic Information Background Catalog No. Ribosomes, the organelles that catalyze protein synthesis, consist of a small 40S subunit RK05700 and a large 60S subunit. Together these subunits are composed of 4 RNA species and approximately 80 structurally distinct proteins. This gene encodes a ribosomal protein Applications that is a component of the 60S subunit. The protein belongs to the L36E family of WB ribosomal proteins. It is located in the cytoplasm. Transcript variants derived from alternative splicing exist; they encode the same protein. As is typical for genes encoding Cross-Reactivity ribosomal proteins, there are multiple processed pseudogenes of this gene dispersed Human, Mouse, Rat through the genome. Observed MW 15kDa Calculated MW 12kDa Category Antibody kit Product Information Component & Recommended Dilutions Source Catalog No. Product Name Dilutions Rabbit RK05700-1 RPL36 Rabbit pAb 1:1000 dilution Purification RK05700-2 HRP Goat Anti-Rabbit IgG (H+L) 1:10000 dilution Affinity purification Storage Store at -20℃. Avoid freeze / thaw Immunogen Information cycles. Buffer: PBS with 0.02% sodium azide, Gene ID Swiss Prot 50% glycerol, pH7.3. 25873 Q9Y3U8 Avoid repeated freeze-thaw cycles. Immunogen Recombinant fusion protein containing a sequence corresponding to amino acids 1-105 Contact of human RPL36 (NP_056229.2). www.abclonal.com Synonyms RPL36;L36 Validation Data Western blot analysis of extracts of various cells, using RPL36 antibody (A7793) at 1:1000 dilution ratio through one-step method. Antibody | Protein | ELISA Kits | Enzyme | NGS | Service For research use only. Not for therapeutic or diagnostic purposes. -
MECHANISM of RNA REMODELING by DEAD-BOX HELICASES By
MECHANISM OF RNA REMODELING BY DEAD-BOX HELICASES by QUANSHENG YANG Submitted in partial fulfillment of the requirements For the degree of Doctor of Philosophy Thesis Advisor: Dr. Eckhard Jankowsky Department of Biochemistry CASE WESTERN RESERVE UNIVERSITY May 2007 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of ___________________Quansheng Yang______________________________________ candidate for the__________________Ph.D._____________________degree (signed)__________William Merrick____________________________ (Chair of the Committee) ___________Vernon Anderson___________________________ ___________Eckhard Jankowsky _________________________ ___________Anthony Berdis ____________________________ ____________________________________________________ ____________________________________________________ (date) ___________12/12/2006______________________ 2 Table of Contents Chapter 1: Structures and biochemical activities of DExH/D helicases………………...11 Chapter 2: Initial characterization of Ded1…………….....…………………...................31 Chapter 3: ATP and ADP-dependent modulation of RNA unwinding and strand annealing activities by the DEAD-box helicase Ded1…………………………………...41 Chapter 4: Protein-assisted RNA structure conversion towards and against thermodynamic equilibrium values………………………………………………………68 Chapter 5: Duplex unwinding by a DEAD-box helicase without translocation on the loading strand...………………………………………………………………................101 Chapter 6: Duplex unwinding by DEAD-box helicases -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Datasheet: VPA00491 Product Details
Datasheet: VPA00491 Description: RABBIT ANTI RPLP0 Specificity: RPLP0 Format: Purified Product Type: PrecisionAb™ Polyclonal Isotype: Polyclonal IgG Quantity: 100 µl Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Western Blotting 1/1000 PrecisionAb antibodies have been extensively validated for the western blot application. The antibody has been validated at the suggested dilution. Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Further optimization may be required dependant on sample type. Target Species Human Species Cross Reacts with: Mouse, Rat Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Preparation Rabbit polyclonal antibody purified by affinity chromatography Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN3) Stabilisers 2% Sucrose Immunogen Synthetic peptide directed towards the N terminal region of human RPLP0 External Database Links UniProt: P05388 Related reagents Entrez Gene: 6175 RPLP0 Related reagents Specificity Rabbit anti Human RPLP0 antibody recognizes RPLP0 also known as 60S acidic ribosomal protein P0, 60S ribosomal protein L10E or acidic ribosomal phosphoprotein P0. Page 1 of 2 Ribosomes, the organelles that catalyze protein synthesis, consist of a small 40S subunit and a large 60S subunit. Together these subunits are composed of 4 RNA species and approximately 80 structurally distinct proteins. -
Katalog 2015 Cover Paul Lin *Hinweis Förderung.Indd
Product List 2015 WE LIVE SERVICE Certificates quartett owns two productions sites that are certified according to EN ISO 9001:2008 Quality management systems - Requirements EN ISO 13485:2012 + AC:2012 Medical devices - Quality management systems - Requirements for regulatory purposes GMP Conformity Our quality management guarantees products of highest quality! 2 Foreword to the quartett product list 2015 quartett Immunodiagnostika, Biotechnologie + Kosmetik Vertriebs GmbH welcomes you as one of our new business partners as well as all of our previous loyal clients. You are now member of quartett´s worldwide customers. First of all we would like to introduce ourselves to you. Founded as a family-run company in 1986, quartett ensures for more than a quarter of a century consistent quality of products. Service and support of our valued customers are our daily businesses. And we will continue! In the end 80´s quartett offered radioimmunoassay and enzyme immunoassay kits from different manufacturers in the USA. In the beginning 90´s the company changed its strategy from offering products for routine diagnostic to the increasing field of research and development. Setting up a production plant in 1997 and a second one in 2011 supported this decision. The company specialized its product profile in the field of manufacturing synthetic peptides for antibody production, peptides such as protease inhibitors, biochemical reagents and products for histology, cytology and immunohistology. All products are exclusively manufactured in Germany without outsourcing any production step. Nowadays, we expand into all other diagnostic and research fields and supply our customers in universities, government institutes, pharmaceutical and biotechnological companies, hospitals, and private doctor offices. -
Structural Characterization of the Human Eukaryotic Initiation Factor 3 Protein Complex by Mass Spectrometry*□S
Supplemental Material can be found at: http://www.mcponline.org/cgi/content/full/M600399-MCP200 /DC1 Research Structural Characterization of the Human Eukaryotic Initiation Factor 3 Protein Complex by Mass Spectrometry*□S Eugen Damoc‡, Christopher S. Fraser§, Min Zhou¶, Hortense Videler¶, Greg L. Mayeurʈ, John W. B. Hersheyʈ, Jennifer A. Doudna§, Carol V. Robinson¶**, and Julie A. Leary‡ ‡‡ Protein synthesis in mammalian cells requires initiation The initiation phase of eukaryotic protein synthesis involves factor eIF3, an ϳ800-kDa protein complex that plays a formation of an 80 S ribosomal complex containing the initi- Downloaded from central role in binding of initiator methionyl-tRNA and ator methionyl-tRNAi bound to the initiation codon in the mRNA to the 40 S ribosomal subunit to form the 48 S mRNA. This is a multistep process promoted by proteins initiation complex. The eIF3 complex also prevents pre- called eukaryotic initiation factors (eIFs).1 Currently at least 12 mature association of the 40 and 60 S ribosomal subunits eIFs, composed of at least 29 distinct subunits, have been and interacts with other initiation factors involved in start identified (1). Mammalian eIF3, the largest initiation factor, is a codon selection. The molecular mechanisms by which multisubunit complex with an apparent molecular mass of www.mcponline.org eIF3 exerts these functions are poorly understood. Since ϳ800 kDa. This protein complex plays an essential role in its initial characterization in the 1970s, the exact size, translation by binding directly to the 40 S ribosomal subunit composition, and post-translational modifications of and promoting formation of the 43 S preinitiation complex ⅐ ⅐ mammalian eIF3 have not been rigorously determined. -
Characterization of Gf a Drosophila Trimeric G Protein Alpha Subunit
Characterization of Gf a Drosophila trimeric G protein alpha subunit Naureen Quibria Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2012 © 2012 Naureen Quibria All rights reserved Abstract Characterization of Gf a Drosophila trimeric G-protein alpha subunit Naureen Quibria In the morphogenesis of tissue development, how coordination of patterning and growth achieve the correct organ size and shape is a principal question in biology. Efficient orchestrating mechanisms are required to achieve this and cells have developed sophisticated systems for reception and interpretation of the multitude of extracellular stimuli to which they are exposed. Plasma membrane receptors play a key role in the transmission of such signals. G-protein coupled receptors (GPCRs) are the largest class of cell surface receptors that respond to an enormous diversity of extracellular stimuli, and are critical mediators of cellular signal transduction in eukaryotic organisms. Signaling through GPCRs has been well characterized in many biological contexts. While they are a major class of signal transducers, there are not many defined instances where GPCRs have been implicated in the process of development to date. The Drosophila wing provides an ideal model system to elucidate and address the role of GPCRs in development, as its growth is regulated by a small number of conserved signaling pathways. In my thesis work, I address the role of a trimeric G alpha protein in Drosophila, Gαf, and what part it may play in development. In particular, I explore the role of Gαf as an alpha subunit of a trimeric complex, to determine what heptahelical receptors might act as its cognate receptor. -
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.