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Affibody Molecules for Epidermal Growth Factor Receptor Targeting
Journal of Nuclear Medicine, published on January 21, 2009 as doi:10.2967/jnumed.108.055525 Affibody Molecules for Epidermal Growth Factor Receptor Targeting In Vivo: Aspects of Dimerization and Labeling Chemistry Vladimir Tolmachev1-3, Mikaela Friedman4, Mattias Sandstrom¨ 5, Tove L.J. Eriksson2, Daniel Rosik2, Monika Hodik1, Stefan Sta˚hl4, Fredrik Y. Frejd1,2, and Anna Orlova1,2 1Unit of Biomedical Radiation Sciences, Rudbeck Laboratory, Uppsala University, Uppsala, Sweden; 2Affibody AB, Bromma, Sweden; 3Department of Medical Sciences, Nuclear Medicine, Uppsala University, Uppsala, Sweden; 4Division of Molecular Biotechnology, School of Biotechnology, Royal Institute of Technology, Stockholm, Sweden; and 5Section of Hospital Physics, Department of Oncology, Uppsala University Hospital, Uppsala, Sweden Noninvasive detection of epidermal growth factor receptor (EGFR) expression in malignant tumors by radionuclide molecu- he epidermal growth factor receptor (EGFR; other lar imaging may provide diagnostic information influencing pa- T designations are HER1 and ErbB-1) is a transmembrane tient management. The aim of this study was to evaluate a tyrosine kinase receptor that regulates cell proliferation, novel EGFR-targeting protein, the ZEGFR:1907 Affibody molecule, for radionuclide imaging of EGFR expression, to determine a motility, and suppression of apoptosis (1). Overexpression suitable tracer format (dimer or monomer) and optimal label. of EGFR is documented in several malignant tumors, such Methods: An EGFR-specific Affibody molecule, ZEGFR:1907, as carcinomas of the breast, urinary bladder, and lung, and 111 and its dimeric form, (ZEGFR:1907)2, were labeled with In using is associated with poor prognosis (2). A high level of EGFR 125 benzyl-diethylenetriaminepentaacetic acid and with I using expression could provide malignant cells with an advantage p-iodobenzoate. -
OR12D2 (Y-13): Sc-109987
SAN TA C RUZ BI OTEC HNOL OG Y, INC . OR12D2 (Y-13): sc-109987 BACKGROUND PRODUCT Olfactory receptors interact with odorant molecules in the nose to initiate a Each vial contains 200 µg IgG in 1.0 ml of PBS with < 0.1% sodium azide neuronal response that leads to the perception of smell. While they share a and 0.1% gelatin. seven transmembrane domain structure with many neurotransmitter and hor - Blocking peptide available for competition studies, sc-109987 P, (100 µg mone receptors, olfactory receptors are responsible for the recognition and peptide in 0.5 ml PBS containing < 0.1% sodium azide and 0.2% BSA). transduction of odorant signals. The olfactory receptor gene family is the larg- est in the genome. OR12D2 (olfactory receptor 12D2), also known as OR6-28 APPLICATIONS or Hs6M1-20, is a 307 amino acid multi-pass membrane protein that belongs to the G-protein coupled receptor 1 family. The gene that encodes OR12D2 OR12D2 (Y-13) is recommended for detection of OR12D2 of human origin by consists of nearly 1,000 bases and maps to human chromosome 6p22.1. With Western Blotting (starting dilution 1:200, dilution range 1:100-1:1000), immu- 170 million base pairs, chromosome 6 comprises nearly 6% of the human nofluorescence (starting dilution 1:50, dilution range 1:50-1:500) and solid genome. Deletion of a portion of the q arm of chromosome 6 is associated phase ELISA (starting dilution 1:30, dilution range 1:30-1:3000); non cross- with early onset intestinal cancer, suggesting the presence of a cancer sus - reactive with family member OR12D3. -
Genetic Variation Across the Human Olfactory Receptor Repertoire Alters Odor Perception
bioRxiv preprint doi: https://doi.org/10.1101/212431; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY 4.0 International license. Genetic variation across the human olfactory receptor repertoire alters odor perception Casey Trimmer1,*, Andreas Keller2, Nicolle R. Murphy1, Lindsey L. Snyder1, Jason R. Willer3, Maira Nagai4,5, Nicholas Katsanis3, Leslie B. Vosshall2,6,7, Hiroaki Matsunami4,8, and Joel D. Mainland1,9 1Monell Chemical Senses Center, Philadelphia, Pennsylvania, USA 2Laboratory of Neurogenetics and Behavior, The Rockefeller University, New York, New York, USA 3Center for Human Disease Modeling, Duke University Medical Center, Durham, North Carolina, USA 4Department of Molecular Genetics and Microbiology, Duke University Medical Center, Durham, North Carolina, USA 5Department of Biochemistry, University of Sao Paulo, Sao Paulo, Brazil 6Howard Hughes Medical Institute, New York, New York, USA 7Kavli Neural Systems Institute, New York, New York, USA 8Department of Neurobiology and Duke Institute for Brain Sciences, Duke University Medical Center, Durham, North Carolina, USA 9Department of Neuroscience, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA *[email protected] ABSTRACT The human olfactory receptor repertoire is characterized by an abundance of genetic variation that affects receptor response, but the perceptual effects of this variation are unclear. To address this issue, we sequenced the OR repertoire in 332 individuals and examined the relationship between genetic variation and 276 olfactory phenotypes, including the perceived intensity and pleasantness of 68 odorants at two concentrations, detection thresholds of three odorants, and general olfactory acuity. -
Bahl Et Al Revisedmanuscript.Pdf
This is an electronic reprint of the original article. This reprint may differ from the original in pagination and typographic detail. Author(s): Bahl, Aileen; Pöllänen, Eija; Ismail, Khadeeja; Sipilä, Sarianna; Mikkola, Tuija; Berglund, Eva; Lindqvist, Carl Mårten; Syvänen, Ann-Christine; Rantanen, Taina; Kaprio, Jaakko; Kovanen, Vuokko; Ollikainen, Miina Title: Hormone Replacement Therapy Associated White Blood Cell DNA Methylation and Gene Expression are Associated With Within-Pair Differences of Body Adiposity and Bone Mass Year: 2015 Version: Please cite the original version: Bahl, A., Pöllänen, E., Ismail, K., Sipilä, S., Mikkola, T., Berglund, E., . Ollikainen, M. (2015). Hormone Replacement Therapy Associated White Blood Cell DNA Methylation and Gene Expression are Associated With Within-Pair Differences of Body Adiposity and Bone Mass. Twin Research and Human Genetics, 18 (6), 647-661. doi:10.1017/thg.2015.82 All material supplied via JYX is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form. You must obtain permission for any other use. Electronic or print copies may not be offered, whether for sale or otherwise to anyone who is not an authorised user. Hormone replacement therapy associated white blood cell DNA methylation and gene expression are associated with within-pair differences of body adiposity -
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. -
Supplemental Data
1 Supplementary Figure 1. Immunohistochemical distribution of urothelial cells, renal tubular cells, and interstitial cells stained 2 by uroplakin III, kidney specific protein, and vimentin, respectively. Magnification, ×100 (inset x400). Representative 3 micrographs were obtained from normal papillary tissues of CaOx stone formers. 1 Supplementary Table 1. Top 100 upregulated genes in papillary tissue of both Randall’s Plaque and normal mucosa with calcium oxalate stone formers compared to those with control patients. Fold Agilent ID Gene Symbol Description change A_23_P128868 OR11H12 Homo sapiens olfactory receptor, family 11, subfamily H, member 12 (OR11H12), mRNA [NM_001013354] 26.613 Homo sapiens killer cell immunoglobulin-like receptor, two domains, short cytoplasmic tail, 2 (KIR2DS2), mRNA A_23_P130815 KIR2DS2 26.224 [NM_012312] A_24_P402855 PROL1 Homo sapiens proline rich, lacrimal 1 (PROL1), mRNA [NM_021225] 23.733 A_24_P917306 ZNF385D zinc finger protein 385D [Source:HGNC Symbol;Acc:26191] [ENST00000494108] 23.050 A_33_P3260667 OR2T34 Homo sapiens olfactory receptor, family 2, subfamily T, member 34 (OR2T34), mRNA [NM_001001821] 20.948 A_33_P3259440 GOLGA6A Homo sapiens golgin A6 family, member A (GOLGA6A), mRNA [NM_001038640] 20.628 A_33_P3417281 MUC4 Homo sapiens mucin 4, cell surface associated (MUC4), transcript variant 1, mRNA [NM_018406] 20.610 A_24_P239176 MUC4 Homo sapiens mucin 4, cell surface associated (MUC4), transcript variant 1, mRNA [NM_018406] 19.965 A_21_P0006968 SFTA1P Homo sapiens surfactant associated 1, pseudogene -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
LETTER Doi:10.1038/Nature09515
LETTER doi:10.1038/nature09515 Distant metastasis occurs late during the genetic evolution of pancreatic cancer Shinichi Yachida1*, Siaˆn Jones2*, Ivana Bozic3, Tibor Antal3,4, Rebecca Leary2, Baojin Fu1, Mihoko Kamiyama1, Ralph H. Hruban1,5, James R. Eshleman1, Martin A. Nowak3, Victor E. Velculescu2, Kenneth W. Kinzler2, Bert Vogelstein2 & Christine A. Iacobuzio-Donahue1,5,6 Metastasis, the dissemination and growth of neoplastic cells in an were present in the primary pancreatic tumours from which the meta- organ distinct from that in which they originated1,2, is the most stases arose. A small number of these samples of interest were cell lines common cause of death in cancer patients. This is particularly true or xenografts, similar to the index lesions, whereas the majority were for pancreatic cancers, where most patients are diagnosed with fresh-frozen tissues that contained admixed neoplastic, stromal, metastatic disease and few show a sustained response to chemo- inflammatory, endothelial and normal epithelial cells (Fig. 1a). Each therapy or radiation therapy3. Whether the dismal prognosis of tissue sample was therefore microdissected to minimize contaminat- patients with pancreatic cancer compared to patients with other ing non-neoplastic elements before purifying DNA. types of cancer is a result of late diagnosis or early dissemination of Two categories of mutations were identified (Fig. 1b). The first and disease to distant organs is not known. Here we rely on data gen- largest category corresponded to those mutations present in all samples erated by sequencing the genomes of seven pancreatic cancer meta- from a given patient (‘founder’ mutations, mean of 64%, range 48–83% stases to evaluate the clonal relationships among primary and of all mutations per patient; Fig. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Time-Series Plasma Cell-Free DNA Analysis Reveals Disease Severity of COVID-19 Patients
medRxiv preprint doi: https://doi.org/10.1101/2020.06.08.20124305; this version posted June 9, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . Time-series plasma cell-free DNA analysis reveals disease severity of COVID- 19 patients Authors: Xinping Chen1†, Yu Lin2†, Tao Wu1†, Jinjin Xu2†, Zhichao Ma1†, Kun Sun2,5†, Hui Li1†, Yuxue Luo2,3†, Chen Zhang1, Fang Chen2, Jiao Wang1, Tingyu Kuo2,4, Xiaojuan Li1, Chunyu Geng2, Feng Lin1, Chaojie Huang2, Junjie Hu1, Jianhua Yin2, Ming Liu1, Ye Tao2, Jiye Zhang1, Rijing Ou2, Furong Xiao1, Huanming Yang2,6, Jian Wang2,6, Xun Xu2,7, Shengmiao Fu1*, Xin Jin2,3*, Hongyan Jiang1*, Ruoyan Chen2* Affiliations: 1Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Hainan Provincial Key Laboratory of Cell and Molecular Genetic Translational Medicine, Haikou 570311, Hainan, China. 2BGI-Shenzhen, Shenzhen, 518083, Guangdong, China 3School of Medicine, South China University of Technology, Guangzhou 510006, Guangdong, China 4BGI Education Center, University of Chinese Academy of Sciences, Shenzhen 518083, Guangdong, China 5Shenzhen Bay Laboratory, Shenzhen 518132, Guangdong, China 6James D. Watson Institute of Genome Sciences, Hangzhou 310058, China 7Guangdong Provincial Key Laboratory of Genome Read and Write, BGI-Shenzhen, Shenzhen, 518120, China *Correspondence to: [email protected]; [email protected]; [email protected]; [email protected]. †These authors contributed equally to this work. Abstract: Clinical symptoms of coronavirus disease 2019 (COVID-19) range from asymptomatic to severe pneumonia and death. -
Sequencing of 50 Human Exomes Reveals Adaptation to High Altitude
REPORTS Digestive and Kidney Diseases) and The University of Omnibus, with accession code GSE21661. These data, as Figs. S1 to S6 Luxembourg–Institute for Systems Biology Program to well as phenotype data, are also available on our Tables S1 to S12 C.D.H. T.S.S. was supported by NIH Genetics Training laboratory Web site, http://jorde-lab.genetics.utah. References Grant T32. All studies have been performed with edu. Please contact R.L.G. for access to DNA samples. informed consent approved by the Institutional Board of 10 March 2010; accepted 6 May 2010 Qinghai Medical College of Qinghai University in Supporting Online Material Published online 13 May 2010; Xining, Qinghai Province, People’s Republic of China. All www.sciencemag.org/cgi/content/full/science.1189406/DC1 10.1126/science.1189406 SNP genoptypes are deposited in Gene Expression Materials and Methods Include this information when citing this paper. also estimated single-nucleotide polymorphism Sequencing of 50 Human Exomes (SNP) probabilities and population allele frequen- cies for each site. A total of 151,825 SNPs were Reveals Adaptation to High Altitude inferred to have >50% probability of being var- iable within the Tibetan sample, and 101,668 had Xin Yi,1,2* Yu Liang,1,2* Emilia Huerta-Sanchez,3* Xin Jin,1,4* Zha Xi Ping Cuo,2,5* John E. Pool,3,6* >99% SNP probability (table S2). Sanger se- Xun Xu,1 Hui Jiang,1 Nicolas Vinckenbosch,3 Thorfinn Sand Korneliussen,7 Hancheng Zheng,1,4 quencing validated 53 of 56 SNPs that had at least Tao Liu,1 Weiming He,1,8 Kui Li,2,5 Ruibang Luo,1,4 Xifang Nie,1 Honglong Wu,1,9 Meiru Zhao,1 95% SNP probability and minor allele frequencies Hongzhi Cao,1,9 Jing Zou,1 Ying Shan,1,4 Shuzheng Li,1 Qi Yang,1 Asan,1,2 Peixiang Ni,1 Geng Tian,1,2 between 3% and 50%. -
Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors
fncel-11-00003 January 20, 2017 Time: 14:24 # 1 CORE Metadata, citation and similar papers at core.ac.uk Provided by Frontiers - Publisher Connector ORIGINAL RESEARCH published: 24 January 2017 doi: 10.3389/fncel.2017.00003 Deep Sequencing of the Human Retinae Reveals the Expression of Odorant Receptors Nikolina Jovancevic1*, Kirsten A. Wunderlich2, Claudia Haering1, Caroline Flegel1, Désirée Maßberg1, Markus Weinrich1, Lea Weber1, Lars Tebbe2, Anselm Kampik3, Günter Gisselmann1, Uwe Wolfrum2, Hanns Hatt1† and Lian Gelis1† 1 Department of Cell Physiology, Ruhr-University Bochum, Bochum, Germany, 2 Department of Cell and Matrix Biology, Johannes Gutenberg University of Mainz, Mainz, Germany, 3 Department of Ophthalmology, Ludwig Maximilian University of Munich, Munich, Germany Several studies have demonstrated that the expression of odorant receptors (ORs) occurs in various tissues. These findings have served as a basis for functional studies that demonstrate the potential of ORs as drug targets for a clinical application. To the best of our knowledge, this report describes the first evaluation of the mRNA expression of ORs and the localization of OR proteins in the human retina that set a Edited by: stage for subsequent functional analyses. RNA-Sequencing datasets of three individual Hansen Wang, University of Toronto, Canada neural retinae were generated using Next-generation sequencing and were compared Reviewed by: to previously published but reanalyzed datasets of the peripheral and the macular Ewald Grosse-Wilde, human retina and to reference tissues. The protein localization of several ORs was Max Planck Institute for Chemical Ecology (MPG), Germany investigated by immunohistochemistry. The transcriptome analyses detected an average Takaaki Sato, of 14 OR transcripts in the neural retina, of which OR6B3 is one of the most highly National Institute of Advanced expressed ORs.