The Ire1a-XBP1 Pathway Promotes T Helper Cell Differentiation by Resolving Secretory Stress and Accelerating Proliferation
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Table S1. List of Proteins in the BAHD1 Interactome
Table S1. List of proteins in the BAHD1 interactome BAHD1 nuclear partners found in this work yeast two-hybrid screen Name Description Function Reference (a) Chromatin adapters HP1α (CBX5) chromobox homolog 5 (HP1 alpha) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins (20-23) HP1β (CBX1) chromobox homolog 1 (HP1 beta) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins HP1γ (CBX3) chromobox homolog 3 (HP1 gamma) Binds histone H3 methylated on lysine 9 and chromatin-associated proteins MBD1 methyl-CpG binding domain protein 1 Binds methylated CpG dinucleotide and chromatin-associated proteins (22, 24-26) Chromatin modification enzymes CHD1 chromodomain helicase DNA binding protein 1 ATP-dependent chromatin remodeling activity (27-28) HDAC5 histone deacetylase 5 Histone deacetylase activity (23,29,30) SETDB1 (ESET;KMT1E) SET domain, bifurcated 1 Histone-lysine N-methyltransferase activity (31-34) Transcription factors GTF3C2 general transcription factor IIIC, polypeptide 2, beta 110kDa Required for RNA polymerase III-mediated transcription HEYL (Hey3) hairy/enhancer-of-split related with YRPW motif-like DNA-binding transcription factor with basic helix-loop-helix domain (35) KLF10 (TIEG1) Kruppel-like factor 10 DNA-binding transcription factor with C2H2 zinc finger domain (36) NR2F1 (COUP-TFI) nuclear receptor subfamily 2, group F, member 1 DNA-binding transcription factor with C4 type zinc finger domain (ligand-regulated) (36) PEG3 paternally expressed 3 DNA-binding transcription factor with -
(Dominance) Effects of Genetic Variants Associated with Refractive Error And
Molecular Genetics and Genomics https://doi.org/10.1007/s00438-020-01666-w ORIGINAL ARTICLE Non‑additive (dominance) efects of genetic variants associated with refractive error and myopia Alfred Pozarickij1 · Cathy Williams2 · Jeremy A. Guggenheim1 · and the UK Biobank Eye and Vision Consortium Received: 26 November 2019 / Accepted: 16 March 2020 © The Author(s) 2020 Abstract Genome-wide association studies (GWAS) have revealed that the genetic contribution to certain complex diseases is well- described by Fisher’s infnitesimal model in which a vast number of polymorphisms each confer a small efect. Under Fisher’s model, variants have additive efects both across loci and within loci. However, the latter assumption is at odds with the com- mon observation of dominant or recessive rare alleles responsible for monogenic disorders. Here, we searched for evidence of non-additive (dominant or recessive) efects for GWAS variants known to confer susceptibility to the highly heritable quantitative trait, refractive error. Of 146 GWAS variants examined in a discovery sample of 228,423 individuals whose refractive error phenotype was inferred from their age-of-onset of spectacle wear, only 8 had even nominal evidence (p < 0.05) of non-additive efects. In a replication sample of 73,577 individuals who underwent direct assessment of refractive error, 1 of these 8 variants had robust independent evidence of non-additive efects (rs7829127 within ZMAT4, p = 4.76E−05) while a further 2 had suggestive evidence (rs35337422 in RD3L, p = 7.21E−03 and rs12193446 in LAMA2, p = 2.57E−02). Account- ing for non-additive efects had minimal impact on the accuracy of a polygenic risk score for refractive error (R2 = 6.04% vs. -
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. -
Structural Insights Into Ubiquitin Recognition and Ufd1 Interaction of Npl4
ARTICLE https://doi.org/10.1038/s41467-019-13697-y OPEN Structural insights into ubiquitin recognition and Ufd1 interaction of Npl4 Yusuke Sato1,2,3,5,7, Hikaru Tsuchiya4,7, Atsushi Yamagata1,2,3,6, Kei Okatsu1,2, Keiji Tanaka4, Yasushi Saeki 4* & Shuya Fukai 1,2,3* Npl4 is likely to be the most upstream factor recognizing Lys48-linked polyubiquitylated substrates in the proteasomal degradation pathway in yeast. Along with Ufd1, Npl4 forms a 1234567890():,; heterodimer (UN), and functions as a cofactor for the Cdc48 ATPase. Here, we report the crystal structures of yeast Npl4 in complex with Lys48-linked diubiquitin and with the Npl4- binding motif of Ufd1. The distal and proximal ubiquitin moieties of Lys48-linked diubiquitin primarily interact with the C-terminal helix and N-terminal loop of the Npl4 C-terminal domain (CTD), respectively. Mutational analysis suggests that the CTD contributes to linkage selectivity and initial binding of ubiquitin chains. Ufd1 occupies a hydrophobic groove of the Mpr1/Pad1 N-terminal (MPN) domain of Npl4, which corresponds to the catalytic groove of the MPN domain of JAB1/MPN/Mov34 metalloenzyme (JAMM)-family deubiquitylating enzyme. This study provides important structural insights into the polyubiquitin chain recognition by the Cdc48–UN complex and its assembly. 1 Institute for Quantitative Biosciences, The University of Tokyo, Tokyo 113-0032, Japan. 2 Synchrotron Radiation Research Organization, The University of Tokyo, Tokyo 113-0032, Japan. 3 Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba 277-8562, Japan. 4 Laboratory of Protein Metabolism, Tokyo Metropolitan Institute of Medical Science, Tokyo 156-8506, Japan. -
Supplementary Materials
Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine -
Allele-Specific Alternative Splicing and Its Functional Genetic Variants in Human Tissues
Downloaded from genome.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Allele-specific alternative splicing and its functional genetic variants in human tissues Kofi Amoah1,†, Yun-Hua Esther Hsiao2,†, Jae Hoon Bahn3†, Yiwei Sun3, Christina Burghard1, Boon Xin Tan3, Ei-Wen Yang3, Xinshu Xiao1,2,3,4,5,* 1Bioinformatics Interdepartmental Program, 2Department of Bioengineering, 3Department of Integrative Biology and Physiology, 4Molecular Biology Institute, 5Institute for Quantitative and Computational Biosciences, University of California, Los Angeles, CA 90095, USA. † These authors contributed equally. *Correspondence: [email protected] 1 Downloaded from genome.cshlp.org on September 30, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Alternative splicing is an RNA processing mechanism that affects most genes in human, contributing to disease mechanisms and phenotypic diversity. The regulation of splicing involves an intricate network of cis-regulatory elements and trans-acting factors. Due to their high sequence specificity, cis-regulation of splicing can be altered by genetic variants, significantly affecting splicing outcomes. Recently, multiple methods have been applied to understanding the regulatory effects of genetic variants on splicing. However, it is still challenging to go beyond apparent association to pinpoint functional variants. To fill in this gap, we utilized large-scale datasets of the Genotype-Tissue Expression (GTEx) project to study genetically-modulated alternative splicing (GMAS) via identification of allele-specific splicing events. We demonstrate that GMAS events are shared across tissues and individuals more often than expected by chance, consistent with their genetically driven nature. Moreover, although the allelic bias of GMAS exons varies across samples, the degree of variation is similar across tissues vs. -
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. -
Strand Breaks for P53 Exon 6 and 8 Among Different Time Course of Folate Depletion Or Repletion in the Rectosigmoid Mucosa
SUPPLEMENTAL FIGURE COLON p53 EXONIC STRAND BREAKS DURING FOLATE DEPLETION-REPLETION INTERVENTION Supplemental Figure Legend Strand breaks for p53 exon 6 and 8 among different time course of folate depletion or repletion in the rectosigmoid mucosa. The input of DNA was controlled by GAPDH. The data is shown as ΔCt after normalized to GAPDH. The higher ΔCt the more strand breaks. The P value is shown in the figure. SUPPLEMENT S1 Genes that were significantly UPREGULATED after folate intervention (by unadjusted paired t-test), list is sorted by P value Gene Symbol Nucleotide P VALUE Description OLFM4 NM_006418 0.0000 Homo sapiens differentially expressed in hematopoietic lineages (GW112) mRNA. FMR1NB NM_152578 0.0000 Homo sapiens hypothetical protein FLJ25736 (FLJ25736) mRNA. IFI6 NM_002038 0.0001 Homo sapiens interferon alpha-inducible protein (clone IFI-6-16) (G1P3) transcript variant 1 mRNA. Homo sapiens UDP-N-acetyl-alpha-D-galactosamine:polypeptide N-acetylgalactosaminyltransferase 15 GALNTL5 NM_145292 0.0001 (GALNT15) mRNA. STIM2 NM_020860 0.0001 Homo sapiens stromal interaction molecule 2 (STIM2) mRNA. ZNF645 NM_152577 0.0002 Homo sapiens hypothetical protein FLJ25735 (FLJ25735) mRNA. ATP12A NM_001676 0.0002 Homo sapiens ATPase H+/K+ transporting nongastric alpha polypeptide (ATP12A) mRNA. U1SNRNPBP NM_007020 0.0003 Homo sapiens U1-snRNP binding protein homolog (U1SNRNPBP) transcript variant 1 mRNA. RNF125 NM_017831 0.0004 Homo sapiens ring finger protein 125 (RNF125) mRNA. FMNL1 NM_005892 0.0004 Homo sapiens formin-like (FMNL) mRNA. ISG15 NM_005101 0.0005 Homo sapiens interferon alpha-inducible protein (clone IFI-15K) (G1P2) mRNA. SLC6A14 NM_007231 0.0005 Homo sapiens solute carrier family 6 (neurotransmitter transporter) member 14 (SLC6A14) mRNA. -
A Multiethnic Genome-Wide Analysis of 44,039 Individuals Identifies 41 New Loci Associated with Central Corneal Thickness
ARTICLE https://doi.org/10.1038/s42003-020-1037-7 OPEN A multiethnic genome-wide analysis of 44,039 individuals identifies 41 new loci associated with central corneal thickness ✉ Hélène Choquet 1 , Ronald B. Melles2, Jie Yin1, Thomas J. Hoffmann 3,4, Khanh K. Thai1, Mark N. Kvale3, 1234567890():,; Yambazi Banda3, Alison J. Hardcastle 5,6, Stephen J. Tuft7, M. Maria Glymour4, Catherine Schaefer 1, ✉ Neil Risch1,3,4, K. Saidas Nair8, Pirro G. Hysi 9,10,11 & Eric Jorgenson 1 Central corneal thickness (CCT) is one of the most heritable human traits, with broad-sense heritability estimates ranging between 0.68 to 0.95. Despite the high heritability and numerous previous association studies, only 8.5% of CCT variance is currently explained. Here, we report the results of a multiethnic meta-analysis of available genome-wide asso- ciation studies in which we find association between CCT and 98 genomic loci, of which 41 are novel. Among these loci, 20 were significantly associated with keratoconus, and one (RAPSN rs3740685) was significantly associated with glaucoma after Bonferroni correction. Two-sample Mendelian randomization analysis suggests that thinner CCT does not causally increase the risk of primary open-angle glaucoma. This large CCT study explains up to 14.2% of CCT variance and increases substantially our understanding of the etiology of CCT var- iation. This may open new avenues of investigation into human ocular traits and their rela- tionship to the risk of vision disorders. 1 Kaiser Permanente Northern California (KPNC), Division of Research, Oakland, CA 94612, USA. 2 KPNC, Department of Ophthalmology, Redwood City, CA 94063, USA. -
A Large Genome-Wide Association Study of Age-Related Macular Degeneration Highlights Contributions of Rare and Common Variants
A large genome-wide association study of age-related macular degeneration highlights contributions of rare and common variants. Lars G. Fritsche1†, Wilmar Igl2†, Jessica N. Cooke Bailey3†, Felix Grassmann4†, Sebanti Sengupta1†, Jennifer L. Bragg-Gresham1,5, Kathryn P. Burdon6, Scott J. Hebbring7, Cindy Wen8, Mathias Gorski2, Ivana K. Kim9, David Cho10, Donald Zack11,12,13,14,15, Eric Souied16, Hendrik P. N. Scholl11,17, Elisa Bala18, Kristine E. Lee19, David J. Hunter20,21, Rebecca J. Sardell22, Paul Mitchell23, Joanna E. Merriam24, Valentina Cipriani25,26, Joshua D. Hoffman27, Tina Schick28, Yara T. E. Lechanteur29, Robyn H. Guymer30, Matthew P. Johnson31, Yingda Jiang32, Chloe M. Stanton33, Gabriëlle H. S. Buitendijk34,35, Xiaowei Zhan1,36,37, Alan M. Kwong1, Alexis Boleda38, Matthew Brooks39, Linn Gieser38, Rinki Ratnapriya38, Kari E. Branham39, Johanna R. Foerster1, John R. Heckenlively39, Mohammad I. Othman39, Brendan J. Vote6, Helena Hai Liang30, Emmanuelle Souzeau40, Ian L. McAllister41, Timothy Isaacs41, Janette Hall40, Stewart Lake40, David A. Mackey6,30,41, Ian J. Constable41, Jamie E. Craig40, Terrie E. Kitchner7, Zhenglin Yang42,43, Zhiguang Su44, Hongrong Luo8,44, Daniel Chen8, Hong Ouyang8, Ken Flagg8, Danni Lin8, Guanping Mao8, Henry Ferreyra8, Klaus Stark2, Claudia N. von Strachwitz45, Armin Wolf46, Caroline Brandl2,4,47, Guenther Rudolph46, Matthias Olden2, Margaux A. Morrison48, Denise J. Morgan48, Matthew Schu49,50,51,52,53, Jeeyun Ahn54, Giuliana Silvestri55, Evangelia E. Tsironi56, Kyu Hyung Park57, Lindsay A. Farrer49,50,51,52,53, Anton Orlin58, Alexander Brucker59, Mingyao Li60, Christine Curcio61, Saddek Mohand-Saïd62,63,64,65, José-Alain Sahel62,63,64,65,66,67,68, Isabelle Audo62,63,64,69, Mustapha Benchaboune65, Angela J. -
The Pu.1 Target Gene Zbtb11 Regulates Neutrophil Development Through Its Integrase-Like HHCC Zinc finger
ARTICLE Received 4 Jul 2016 | Accepted 13 Feb 2017 | Published 6 Apr 2017 DOI: 10.1038/ncomms14911 OPEN The Pu.1 target gene Zbtb11 regulates neutrophil development through its integrase-like HHCC zinc finger Maria-Cristina Keightley1,2, Duncan P. Carradice2,3, Judith E. Layton2,4, Luke Pase1,2,3, Julien Y. Bertrand5, Johannes G. Wittig1, Aleksandar Dakic2, Andrew P. Badrock6, Nicholas J. Cole7, David Traver8, Stephen L. Nutt2,3, Julia McCoey9, Ashley M. Buckle9, Joan K. Heath2,3,4 & Graham J. Lieschke1,2,4 In response to infection and injury, the neutrophil population rapidly expands and then quickly re-establishes the basal state when inflammation resolves. The exact pathways governing neutrophil/macrophage lineage outputs from a common granulocyte-macrophage progenitor are still not completely understood. From a forward genetic screen in zebrafish, we identify the transcriptional repressor, ZBTB11, as critical for basal and emergency granulopoiesis. ZBTB11 sits in a pathway directly downstream of master myeloid regulators including PU.1, and TP53 is one direct ZBTB11 transcriptional target. TP53 repression is dependent on ZBTB11 cys116, which is a functionally critical, metal ion-coordinating residue within a novel viral integrase-like zinc finger domain. To our knowledge, this is the first description of a function for this domain in a cellular protein. We demonstrate that the PU.1–ZBTB11–TP53 pathway is conserved from fish to mammals. Finally, Zbtb11 mutant rescue experiments point to a ZBTB11-regulated TP53 requirement in development of other organs. 1 Australian Regenerative Medicine Institute, Monash University, Clayton, Victoria 3800, Australia. 2 The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Parkville, Victoria 3050, Australia. -
WO 2012/054896 Al
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number ι (43) International Publication Date ¾ ί t 2 6 April 2012 (26.04.2012) WO 2012/054896 Al (51) International Patent Classification: AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, C12N 5/00 (2006.01) C12N 15/00 (2006.01) CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, C12N 5/02 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, (21) International Application Number: KR, KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, PCT/US201 1/057387 ME, MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, (22) International Filing Date: NO, NZ, OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, 2 1 October 201 1 (21 .10.201 1) RW, SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, (25) Filing Language: English ZM, ZW. (26) Publication Language: English (84) Designated States (unless otherwise indicated, for every (30) Priority Data: kind of regional protection available): ARIPO (BW, GH, 61/406,064 22 October 2010 (22.10.2010) US GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, SZ, TZ, 61/415,244 18 November 2010 (18.1 1.2010) US UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, MD, RU, TJ, TM), European (AL, AT, BE, BG, CH, CY, CZ, (71) Applicant (for all designated States except US): BIO- DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, IE, IS, IT, TIME INC.