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WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization I International Bureau (10) International Publication Number (43) International Publication Date WO 2019/079361 Al 25 April 2019 (25.04.2019) W 1P O PCT (51) International Patent Classification: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DJ, DK, DM, DO, C12Q 1/68 (2018.01) A61P 31/18 (2006.01) DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, C12Q 1/70 (2006.01) HR, HU, ID, IL, IN, IR, IS, JO, JP, KE, KG, KH, KN, KP, KR, KW, KZ, LA, LC, LK, LR, LS, LU, LY, MA, MD, ME, (21) International Application Number: MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, PCT/US2018/056167 OM, PA, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SA, (22) International Filing Date: SC, SD, SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, 16 October 2018 (16. 10.2018) TR, TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. (25) Filing Language: English (84) Designated States (unless otherwise indicated, for every kind of regional protection available): ARIPO (BW, GH, (26) Publication Language: English GM, KE, LR, LS, MW, MZ, NA, RW, SD, SL, ST, SZ, TZ, (30) Priority Data: UG, ZM, ZW), Eurasian (AM, AZ, BY, KG, KZ, RU, TJ, 62/573,025 16 October 2017 (16. 10.2017) US TM), European (AL, AT, BE, BG, CH, CY, CZ, DE, DK, EE, ES, FI, FR, GB, GR, HR, HU, ΓΕ , IS, IT, LT, LU, LV, (71) Applicant: MASSACHUSETTS INSTITUTE OF MC, MK, MT, NL, NO, PL, PT, RO, RS, SE, SI, SK, SM, TECHNOLOGY [US/US]; 77 Massachusetts Avenue, TR), OAPI (BF, BJ, CF, CG, CI, CM, GA, GN, GQ, GW, Cambridge, Massachusetts 02139 (US). -
Key Genes Regulating Skeletal Muscle Development and Growth in Farm Animals
animals Review Key Genes Regulating Skeletal Muscle Development and Growth in Farm Animals Mohammadreza Mohammadabadi 1 , Farhad Bordbar 1,* , Just Jensen 2 , Min Du 3 and Wei Guo 4 1 Department of Animal Science, Faculty of Agriculture, Shahid Bahonar University of Kerman, Kerman 77951, Iran; [email protected] 2 Center for Quantitative Genetics and Genomics, Aarhus University, 8210 Aarhus, Denmark; [email protected] 3 Washington Center for Muscle Biology, Department of Animal Sciences, Washington State University, Pullman, WA 99163, USA; [email protected] 4 Muscle Biology and Animal Biologics, Animal and Dairy Science, University of Wisconsin-Madison, Madison, WI 53558, USA; [email protected] * Correspondence: [email protected] Simple Summary: Skeletal muscle mass is an important economic trait, and muscle development and growth is a crucial factor to supply enough meat for human consumption. Thus, understanding (candidate) genes regulating skeletal muscle development is crucial for understanding molecular genetic regulation of muscle growth and can be benefit the meat industry toward the goal of in- creasing meat yields. During the past years, significant progress has been made for understanding these mechanisms, and thus, we decided to write a comprehensive review covering regulators and (candidate) genes crucial for muscle development and growth in farm animals. Detection of these genes and factors increases our understanding of muscle growth and development and is a great help for breeders to satisfy demands for meat production on a global scale. Citation: Mohammadabadi, M.; Abstract: Farm-animal species play crucial roles in satisfying demands for meat on a global scale, Bordbar, F.; Jensen, J.; Du, M.; Guo, W. -
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 -
Immunoglobulin and T Cell Receptor Genes: IMGT(®) and the Birth and Rise of Immunoinformatics Marie-Paule Lefranc
Immunoglobulin and T Cell Receptor Genes: IMGT(®) and the Birth and Rise of Immunoinformatics Marie-Paule Lefranc To cite this version: Marie-Paule Lefranc. Immunoglobulin and T Cell Receptor Genes: IMGT(®) and the Birth and Rise of Immunoinformatics. Frontiers in Immunology, Frontiers, 2014, 5, pp.22. 10.3389/fimmu.2014.00022. hal-00957520 HAL Id: hal-00957520 https://hal.archives-ouvertes.fr/hal-00957520 Submitted on 28 May 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License CLASSIFICATION ARTICLE published: 05 February 2014 doi: 10.3389/fimmu.2014.00022 Immunoglobulin and T cell receptor genes: IMGT® and the birth and rise of immunoinformatics Marie-Paule Lefranc* The International ImMunoGenetics Information System® (IMGT®), Laboratoire d’ImmunoGénétique Moléculaire (LIGM), Institut de Génétique Humaine, UPR CNRS, Université Montpellier 2, Montpellier, France Edited by: IMGT®, the international ImMunoGeneTics information system®1, (CNRS and Université Kendall A. Smith, Weill Cornell Montpellier 2) is the global reference in immunogenetics and immunoinformatics. By its Medical College of Cornell University, ® USA creation in 1989, IMGT marked the advent of immunoinformatics, which emerged at ® Reviewed by: the interface between immunogenetics and bioinformatics. -
Revealing the Acute Asthma Ignorome: Characterization and Validation of Uninvestigated Gene Networks
www.nature.com/scientificreports OPEN Revealing the acute asthma ignorome: characterization and validation of uninvestigated gene Received: 07 December 2015 Accepted: 01 April 2016 networks Published: 21 April 2016 Michela Riba1,*, Jose Manuel Garcia Manteiga1,*, Berislav Bošnjak2,*, Davide Cittaro1, Pavol Mikolka2,†, Connie Le2,‡, Michelle M. Epstein2,# & Elia Stupka1,# Systems biology provides opportunities to fully understand the genes and pathways in disease pathogenesis. We used literature knowledge and unbiased multiple data meta-analysis paradigms to analyze microarray datasets across different mouse strains and acute allergic asthma models. Our combined gene-driven and pathway-driven strategies generated a stringent signature list totaling 933 genes with 41% (440) asthma-annotated genes and 59% (493) ignorome genes, not previously associated with asthma. Within the list, we identified inflammation, circadian rhythm, lung-specific insult response, stem cell proliferation domains, hubs, peripheral genes, and super-connectors that link the biological domains (Il6, Il1ß, Cd4, Cd44, Stat1, Traf6, Rela, Cadm1, Nr3c1, Prkcd, Vwf, Erbb2). In conclusion, this novel bioinformatics approach will be a powerful strategy for clinical and across species data analysis that allows for the validation of experimental models and might lead to the discovery of novel mechanistic insights in asthma. Allergen exposure causes a complex interaction of cellular and molecular networks leading to allergic asthma in susceptible individuals. Experimental mouse models of allergic asthma are widely used to understand disease pathogenesis and elucidate mechanisms underlying the initiation of allergic asthma1. For example, gene profiling of lung tissue from experimental mice during the initiation of allergic asthma in experiments with different proto- cols2–7 validated well-known genes and identified new genes with roles in disease pathogenesis such as C53, Arg18, Adam89, and Pon17, and dissected pathways activated by Il1310 and Stat611. -
Systematic Elucidation of Neuron-Astrocyte Interaction in Models of Amyotrophic Lateral Sclerosis Using Multi-Modal Integrated Bioinformatics Workflow
ARTICLE https://doi.org/10.1038/s41467-020-19177-y OPEN Systematic elucidation of neuron-astrocyte interaction in models of amyotrophic lateral sclerosis using multi-modal integrated bioinformatics workflow Vartika Mishra et al.# 1234567890():,; Cell-to-cell communications are critical determinants of pathophysiological phenotypes, but methodologies for their systematic elucidation are lacking. Herein, we propose an approach for the Systematic Elucidation and Assessment of Regulatory Cell-to-cell Interaction Net- works (SEARCHIN) to identify ligand-mediated interactions between distinct cellular com- partments. To test this approach, we selected a model of amyotrophic lateral sclerosis (ALS), in which astrocytes expressing mutant superoxide dismutase-1 (mutSOD1) kill wild-type motor neurons (MNs) by an unknown mechanism. Our integrative analysis that combines proteomics and regulatory network analysis infers the interaction between astrocyte-released amyloid precursor protein (APP) and death receptor-6 (DR6) on MNs as the top predicted ligand-receptor pair. The inferred deleterious role of APP and DR6 is confirmed in vitro in models of ALS. Moreover, the DR6 knockdown in MNs of transgenic mutSOD1 mice attenuates the ALS-like phenotype. Our results support the usefulness of integrative, systems biology approach to gain insights into complex neurobiological disease processes as in ALS and posit that the proposed methodology is not restricted to this biological context and could be used in a variety of other non-cell-autonomous communication -
(12) United States Patent (10) Patent No.: US 8,088,914 B2 Stoffel Et Al
USOO8088914B2 (12) United States Patent (10) Patent No.: US 8,088,914 B2 Stoffel et al. (45) Date of Patent: Jan. 3, 2012 (54) MICRORNA AND METHODS FOR W W39: A: 38 INHIBITING SAME WO WO2004.044123 A2 5, 2004 WO WO2004.04851 1 A2 6, 2004 (75) Inventors: Markus Stoffel, Zurich (CH); Matthew WO WO2005O13901 A2 2, 2005 N. Poy, New York, NY (US); Thomas WO WO2005079397 A2 9, 2005 H. Tuschl, New York, NY (US) WO WO2006 119266 A2 11/2006 OTHER PUBLICATIONS (73) Assignee: The Rockefeller University, New York, NY (US) U.S. Appl. No. 10/604,945, filed Aug. 27, 2003. U.S. Appl. No. 10/604,984, filed Aug. 29, 2003. Avavin et al., “The Small RNA Profile During Drosophila (*) Notice: Subject to any disclaimer, the term of this Melanogaster Development”. Developmental Cell, vol. 5, p. 337-350 patent is extended or adjusted under 35 (2003). U.S.C. 154(b) by 144 days. Beigelman et al., “Chemical Modification of Hammerhead Ribozymes'. The Journal of Biological Chemistry, vol. 270, No. 43. p. 25702-25708 (1995). (21) Appl. No.: 12/498,020 Liang et al., “Inhibitor RNA Blocks the Protein TranslationMediated 1-1. by Hepatitis C Virus Internal Ribosome Entry Site in Vivo”. World J. (22) Filed: Jul. 6, 2009 Gastroenterol, 10(5), p. 664-667 (2004). O O Amarzguioui. Mohammed, et al., “Tolerance for mutations and (65) Prior Publication Data chemical modifications in a siRNA'. Nucleic Acids Research 2003, 31(2):589-595. US 2009/0275729 A1 Nov. 5, 2009 Bartel, David P. “MicroRNAs. Genomics, Biogenesis, Mechanism, O O and Function’, Cell 2004, 116:281-297. -
Expression Profiling Associates Blood and Brain Glucocorticoid Receptor
Expression profiling associates blood and brain SEE COMMENTARY glucocorticoid receptor signaling with trauma-related individual differences in both sexes Nikolaos P. Daskalakisa,b,1, Hagit Cohenc, Guiqing Caia,d, Joseph D. Buxbauma,d,e, and Rachel Yehudaa,b,e Departments of aPsychiatry, dGenetics and Genomic Sciences, and eNeuroscience, Icahn School of Medicine at Mount Sinai, New York, NY 10029; bMental Health Patient Care Center, James J. Peters Veterans Affairs Medical Center, Bronx, NY 10468; and cAnxiety and Stress Research Unit, Ministry of Health Mental Health Center, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer Sheva 84170, Israel Edited by Bruce S. McEwen, The Rockefeller University, New York, NY, and approved July 14, 2014 (received for review February 7, 2014) Delineating the molecular basis of individual differences in the stress response to stress (4, 5). The emergence of system- and genome- response is critical to understanding the pathophysiology and treat- wide approaches permits the opportunity for unbiased identifi- ment of posttraumatic stress disorder (PTSD). In this study, 7 d after cation of novel pathways. Because PTSD is more prevalent in predator-scent-stress (PSS) exposure, male and female rats were women than men (1), and sex is a potential source of response classified into vulnerable (i.e., “PTSD-like”) and resilient (i.e., minimally variation to trauma in both animals (6) and humans (7), it is also affected) phenotypes on the basis of their performance on a variety of critical to include both sexes in such studies. behavioral measures. Genome-wide expression profiling in blood and In the present study, PSS-exposed male and female rats were two limbic brain regions (amygdala and hippocampus), followed by behaviorally tested in EPM and ASR tests a week after PSS and divided in EBR and MBR groups [at this point, the behavioral quantitative PCR validation, was performed in these two groups of response of the rats is stable in terms of prevalence of EBRs vs. -
Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors
University of Cincinnati Date: 12/20/2010 I, Arturo R Maldonado , hereby submit this original work as part of the requirements for the degree of Doctor of Philosophy in Developmental Biology. It is entitled: Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors Student's name: Arturo R Maldonado This work and its defense approved by: Committee chair: Jeffrey Whitsett Committee member: Timothy Crombleholme, MD Committee member: Dan Wiginton, PhD Committee member: Rhonda Cardin, PhD Committee member: Tim Cripe 1297 Last Printed:1/11/2011 Document Of Defense Form Molecular Targeting and Enhancing Anticancer Efficacy of Oncolytic HSV-1 to Midkine Expressing Tumors A dissertation submitted to the Graduate School of the University of Cincinnati College of Medicine in partial fulfillment of the requirements for the degree of DOCTORATE OF PHILOSOPHY (PH.D.) in the Division of Molecular & Developmental Biology 2010 By Arturo Rafael Maldonado B.A., University of Miami, Coral Gables, Florida June 1993 M.D., New Jersey Medical School, Newark, New Jersey June 1999 Committee Chair: Jeffrey A. Whitsett, M.D. Advisor: Timothy M. Crombleholme, M.D. Timothy P. Cripe, M.D. Ph.D. Dan Wiginton, Ph.D. Rhonda D. Cardin, Ph.D. ABSTRACT Since 1999, cancer has surpassed heart disease as the number one cause of death in the US for people under the age of 85. Malignant Peripheral Nerve Sheath Tumor (MPNST), a common malignancy in patients with Neurofibromatosis, and colorectal cancer are midkine- producing tumors with high mortality rates. In vitro and preclinical xenograft models of MPNST were utilized in this dissertation to study the role of midkine (MDK), a tumor-specific gene over- expressed in these tumors and to test the efficacy of a MDK-transcriptionally targeted oncolytic HSV-1 (oHSV). -
Computational Simulations to Predict Creatine Kinase-Associated Factors: Protein-Protein Interaction Studies of Brain and Muscle Types of Creatine Kinases
SAGE-Hindawi Access to Research Enzyme Research Volume 2011, Article ID 328249, 12 pages doi:10.4061/2011/328249 Research Article Computational Simulations to Predict Creatine Kinase-Associated Factors: Protein-Protein Interaction Studies of Brain and Muscle Types of Creatine Kinases Wei-Jiang Hu,1 Sheng-Mei Zhou,2 Joshua SungWoo Yang,3, 4 and Fan-Guo Meng1 1 Zhejiang Provincial Key Laboratory of Applied Enzymology, Yangtze Delta Region Institute of Tsinghua University, Jiaxing 314006, China 2 College of Biology and Chemical Engineering, Jiaxing University, Jiaxing 314001, China 3 Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience & Biotechnology (KRIBB), Daejeon 305-806, Republic of Korea 4 Department of Bioinformatics, University of Sciences & Technology, Daejeon 205-305, Republic of Korea Correspondence should be addressed to Fan-Guo Meng, [email protected] Received 17 May 2011; Accepted 26 May 2011 Academic Editor: Jun-Mo Yang Copyright © 2011 Wei-Jiang Hu 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. Creatine kinase (CK; EC 2.7.3.2) is related to several skin diseases such as psoriasis and dermatomyositis. CK is important in skin energy homeostasis because it catalyzes the reversible transfer of a phosphoryl group from MgATP to creatine. In this study, we predicted CK binding proteins via the use of bioinformatic tools such as protein-protein interaction (PPI) mappings and suggest the putative hub proteins for CK interactions. We obtained 123 proteins for brain type CK and 85 proteins for muscle type CK in the interaction networks. -
Table S1 Genes with Coefficients of Variation (CV) Ratios (CVGHS/CVSD) in the Upper and Lower 10% of for Expression in Genetic Hypercalciuric Stone-Forming (GHS) And
Table S1 Genes with coefficients of variation (CV) ratios (CVGHS/CVSD) in the upper and lower 10% of for expression in Genetic Hypercalciuric Stone-forminG (GHS) and Sprague-Dawley (SD) rats, assayed usinG Affymetrix Rat Genome 230 GeneChips. The location of the microsatellite or quantitative trait locus (QTL) position (Loc) in base pairs (bp), gene initiation base pair (BP), chromosomal banding position and RGD or GenBank name are given.Rat Genome Database (RGD) (www.rgd.mcw.edu), GenBank (http://www.ncbi.nlm.nih.gov/Genbank/) and Entrez (http://www.ncbi.nlm.nih.gov/sites/entrez). Variance in gene expression was ranked according to CVGHS/CVSD ratio for all renal (8846 genes, Pctl, Renal) and duodenal genes (9038 genes, Pctl, Duod). Gene Pctl, Pctl, QTL Gene (GenBank) Renal Duod BP GenBank/RGD Description D1Mit95 Riok2 (BG371773) 91.3 52.4 55,897,246 RIO kinase 2 66,832,211 Tmc4 (BF545988) - 93.6 63,582,715 transmembrane channel-like gene family 4 Isoc2b (BM385414) 2.3 - 67,689,183 Isochorismatase domain containing 2b Suv420h2 (AW525235) 69.9 97.3 67,815,980 suppressor of variegation 4-20 homolog 2 (Drosophila) Lilrb4 (BF282961) 95.5 - 69,165,497 leukocyte immunoglobulin-like receptor, subfamily B, member 4 Zbtb45 (BI289556) - 10.0 72,912,203 zinc finger and BTB domain containing 45 Sepw1 (NM_013027) 7.5 - 76,249,869 selenoprotein W, muscle 1 Chmp2a (AW434104) 0.1 86.9 72,889,348 chromatin modifying protein 2a Tmem160 (AWS25031) 97.6 2.2 76,716,254 transmembrane protein Pnmal2 (BI282311) 99.6 - 77,277,341 PNMA-like 2 Dmpk (AI044427) 98.9 7.3 78,449,323 dystrophia myotonica-protein kinase; serine-threonine kinase Vasp (AW520792) 99.3 - 78,621,478 vasodilator-stimulated phosphoprotein Ercc1 (AA892791) 90.6 - 78,711,248 excision repair cross-complementing rodent repair deficiency, complementation G. -
The Contribution of 7Q33 Copy Number Variations for Intellectual Disability
The contribution of 7q33 copy number variations for intellectual disability Fátima Lopes, Fátima Torres, Sally Ann Lynch, Arminda Jorge, Susana Sousa, João Silva, Paula Rendeiro, Purificação Tavares, et al. neurogenetics ISSN 1364-6745 Volume 19 Number 1 Neurogenetics (2018) 19:27-40 DOI 10.1007/s10048-017-0533-5 1 23 Your article is protected by copyright and all rights are held exclusively by Springer- Verlag GmbH Germany, part of Springer Nature. This e-offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com”. 1 23 Author's personal copy neurogenetics (2018) 19:27–40 https://doi.org/10.1007/s10048-017-0533-5 ORIGINAL ARTICLE The contribution of 7q33 copy number variations for intellectual disability Fátima Lopes1,2 & Fátima Torres3,4 & Sally Ann Lynch5 & Arminda Jorge6,7 & Susana Sousa1,2 & João Silva8 & Paula Rendeiro 3 & Purificação Tavares 3 & Ana Maria Fortuna8 & Patrícia Maciel1,2 Received: 22 May 2017 /Revised: 28 November 2017 /Accepted: 29 November 2017 /Published online: 19 December 2017 # Springer-Verlag GmbH Germany, part of Springer Nature 2017 Abstract Copy number variations (CNVs) at the 7q33 cytoband are very rarely described in the literature, and almost all of the cases comprise large deletions affecting more than just the q33 segment.