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Chronic obstructive pulmonary disease and related phenotypes: polygenic risk scores in population-based and case-control cohorts

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The Lancet Respiratory Medicine 2020年第7期8卷 696-708页

作者： Moll, Matthew Sakornsakolpat, Phuwanat Shrine, Nick Hobbs, Brian D DeMeo, Dawn L John, Catherine Guyatt, Anna L McGeachie, Michael J Gharib, Sina A Obeidat, Ma'en Lahousse, Lies Wijnant, Sara R A Brusselle, Guy Meyers, Deborah A Bleecker, Eugene R Li, Xingnan Tal-Singer, Ruth Manichaikul, Ani Rich, Stephen S Won, Sungho Kim, Woo Jin Do, Ah Ra Washko, George R Barr, R Graham Psaty, Bruce M Bartz, Traci M Hansel, Nadia N Barnes, Kathleen Hokanson, John E Crapo, James D Lynch, David Bakke, Per Gulsvik, Amund Hall, Ian P Wain, Louise Soler Artigas, María Jackson, Victoria E Strachan, David P Hui, Jennie James, Alan L Kerr, Shona M Polasek, Ozren Vitart, Veronique Marten, Jonathan Rudan, Igor Kähönen, Mika Surakka, Ida Gieger, Christian Karrasch, Stefan Rawal, Rajesh Schulz, Holger Deary, Ian J Harris, Sarah E Enroth, Stefan Gyllensten, Ulf Imboden, Medea Probst-Hensch, Nicole M Lehtimäki, Terho Raitakari, Olli T Langenberg, Claudia Luan, Jian'an Wareham, Nick Zhao, Jing Hua Hayward, Caroline Murray, Alison Porteous, David J Smith, Blair H Jarvelin, Marjo-Riitta Wielscher, Matthias Joshi, Peter K Kentistou, Katherine A Timmers, Paul RHJ Wilson, James F Cook, James P Lind, Lars Mahajan, Anubha Morris, Andrew P Ewert, Ralf Homuth, Georg Stubbe, Beate Weiss, Stefan Zeggini, Eleftheria Weiss, Scott T Silverman, Edwin K Dudbridge, Frank Tobin, Martin D Cho, Michael H Channing Division of Network Medicine Brigham and Women's Hospital Boston MA United States Division of Pulmonary and Critical Care Medicine Brigham and Women's Hospital Boston MA United States Department of Medicine Faculty of Medicine Siriraj Hospital Mahidol University Bangkok Thailand Genetic Epidemiology Group Department of Health Sciences University of Leicester Leicester United Kingdom Computational Medicine Core Center for Lung Biology Department of Medicine University of Washington Seattle WA United States Division of Pulmonary Critical Care and Sleep Medicine Department of Medicine University of Washington Seattle WA United States Cardiovascular Health Research Unit Department of Medicine University of Washington Seattle WA United States University of British Columbia Center for Heart Lung Innovation St Paul's Hospital Vancouver BC Canada Department of Epidemiology Erasmus Medical Centre Rotterdam Netherlands Department of Respiratory Medicine Erasmus Medical Centre Rotterdam Netherlands Department of Bioanalysis Faculty of Pharmaceutical Sciences Ghent University Ghent Belgium Department of Respiratory Medicine Ghent University Hospital Ghent Belgium Department of Medicine University of Arizona Tucson AZ United States GlaxoSmithKline Research and Development Collegeville PA United States Center for Public Health Genomics University of Virginia Charlottesville VA United States Department of Public Health Sciences University of Virginia Charlottesville VA United States Department of Public Health Sciences Graduate School of Public Health Seoul National University Seoul South Korea Interdisciplinary Program of Bioinformatics College of National Sciences Seoul National University Seoul South Korea Institute of Health and Environment Seoul National University Seoul South Korea Department of Internal Medicine Kangwon National University Chuncheon South Korea Department of Medicine and Department of Epidemiology Columbia Universit

Background: Genetic factors influence chronic obstructive pulmonary disease (COPD) risk, but the individual variants that have been identified have small effects. We hypothesised that a polygenic risk score using additional variants would predict COPD and associated phenotypes. Methods: We constructed a polygenic risk score using a genome-wide association study of lung function (FEV₁ and FEV₁/forced vital capacity [FVC]) from the UK Biobank and SpiroMeta. We tested this polygenic risk score in nine cohorts of multiple ethnicities for an association with moderate-to-severe COPD (defined as FEV₁/FVC <0·7 and FEV₁ <80% of predicted). Associations were tested using logistic regression models, adjusting for age, sex, height, smoking pack-years, and principal components of genetic ancestry. We assessed predictive performance of models by area under the curve. In a subset of studies, we also studied quantitative and qualitative CT imaging phenotypes that reflect parenchymal and airway pathology, and patterns of reduced lung growth. Findings: The polygenic risk score was associated with COPD in European (odds ratio [OR] per SD 1·81 [95% CI 1·74–1·88] and non-European (1·42 [1·34–1·51]) populations. Compared with the first decile, the tenth decile of the polygenic risk score was associated with COPD, with an OR of 7·99 (6·56–9·72) in European ancestry and 4·83 (3·45–6·77) in non-European ancestry cohorts. The polygenic risk score was superior to previously described genetic risk scores and, when combined with clinical risk factors (ie, age, sex, and smoking pack-years), showed improved prediction for COPD compared with a model comprising clinical risk factors alone (AUC 0·80 [0·79–0·81] vs 0·76 [0·75–0·76]). The polygenic risk score was associated with CT imaging phenotypes, including wall area percent, quantitative and qualitative measures of emphysema, local histogram emphysema patterns, and destructive emphysema subtypes. The po

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Integrating Genomic & Transcriptomic Features for Noninvasive Detection, Characterization, and Monitoring of T-Cell Lymphomas

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Blood 2024年 144卷 454-454页

作者： Takeshi Sugio Monica Nesselbush Navika Shukla Andrea Garofalo Jurik A. Mutter Mohammad Shahrokh Esfahani Stefan K. Alig Shuyu Shi Troy Noordenbos Mark P. Hamilton Cedric Rossi Feng Tian Chih Long Liu Mari Olsen Xiaoman Kang David A Russler-Germain Steven Horwitz Koji Kato Ayumu Ito Makoto Yamagishi Ash A. Alizadeh Department of Medicine Divisions of Oncology and Hematology Stanford University Stanford CA Program in Cancer Biology Stanford School of Medicine Stanford CA Divisions of Oncology and Hematology Stanford University Stanford CA Department of Radiation Oncology Stanford University Stanford CA Dept. of Bioengineering Schools of Engineering and Medicine Stanford CA Division of Blood and Marrow Transplantation and Cellular Therapy Stanford University School of Medicine Palo Alto CA CHU Dijon DIJON France Department of Medicine Division of Oncology Stanford University Stanford CA Siteman Cancer Center Division of Oncology Washington University School of Medicine Saint Louis MO Lymphoma Service Department of Medicine Memorial Sloan Kettering Cancer Center New York NY Department of Medicine and Biosystemic Science Kyushu University Graduate School of Medicine Fukuoka Japan Department of Hematopoietic Stem Cell Transplantation National Cancer Center Hospital Tokyo Japan Department of Computational Biology and Medical Sciences Graduate School of Frontier Sciences The University of Tokyo Tokyo JPN

Background : Mature T-cell lymphoma (TCL) outcomes remain inferior to aggressive B-cell counterparts, and thus represent unmet need. Given high relapse rates after remissions induced by current regimens, more sensitive MRD methods are needed to personalize treatment. We tackled these questions by integrating distinct host and viral molecular features for noninvasive detection, risk profiling, and monitoring of diverse mature TCLs. Methods : We studied 132 patients diagnosed with diverse TCLs (PTCL-NOS n=21, ALCL n=13, TFH lymphoma n=21, ATLL n=54, ENKTL n=6, CTCL n=15, others n=2). 37% of pts had newly diagnosed TCL primarily treated with CHOP-based regimens, while 62% had relapsed/refractory disease treated with salvage chemotherapies (26%), nivolumab (5%), and/or allogeneic HSCT (31%). We molecularly profiled 530 specimens, including serial blood plasma samples drawn before, during, and at the end-of-therapy (EOT) (n=274), baseline tumor tissues (n=128), and matched normal cells (n=128). Plasma cfDNA for all cases were profiled to detect somatic mutations in 259 recurrently mutated TCL genes by CAPP-Seq, genome-wide CNVs by CANARy (Chabon 2020 Nature), clonotypic VDJ at all TCR/BCR loci by SABER, T/B-cell abundance by QUARTZ (Sugio ASH 2024 abstract #193441), and inferred expression of 381 TCL/immune-related genes by EPIC-Seq (Esfahani Nature biotechnology 2022). Viral load and genotyping for EBV and HTLV-1 were assessed by VirCAPP-Seq (Garofalo ASH2022). Plasma cfRNA expression was profiled using RARE-Seq, by targeting 6.8k coding genes (Nesselbush 2024 Cancer Research). Results : We found that mutation-based disease burden measurements in cfDNA by CAPP-Seq were significantly correlated with clonotypic cell-free TCR levels (cfTCR; R=0.95, p<0.001) across all patients and plasma HTLV-1 load in ATLL patients (R=0.84, p<0.001). When considering outcomes after CHOP-based regimens, detection of ctDNA-MRD at EOT predicted significantly higher relapse risk (p= 0.003), i

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Erratum: 'Quantifying Feedback from Narrow Line Region Outflows in Nearby Active Galaxies. II. Spatially Resolved Mass Outflow Rates for the QSO2 Markarian 34' (2018, ApJ, 867, 88)* †

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The Astrophysical Journal 2019年第2期881卷

作者： M. Revalski D. Dashtamirova D. M. Crenshaw S. B. Kraemer T. C. Fischer H. R. Schmitt C. L. Gnilka J. Schmidt M. Elvis G. Fabbiano T. Storchi-Bergmann W. P. Maksym P. Gandhi Department of Physics and Astronomy Georgia State University 25 Park Place Suite 605 Atlanta GA 30303 USA National Science Foundation Graduate Research Fellow (DGE-1550139). Institute for Astrophysics and Computational Sciences Department of Physics The Catholic University of America Washington DC 20064 USA Astrophysics Science Division Goddard Space Flight Center Code 665 Greenbelt MD 20771 USA James Webb Space Telescope NASA Postdoctoral Program Fellow. Naval Research Laboratory Washington DC 20375 USA Designer/Developer for the Astrophysics Source Code Library. Harvard-Smithsonian Center for Astrophysics 60 Garden St. Cambridge MA 02138 USA Departamento de Astronomia Universidade Federal do Rio Grande do Sul IF CP 15051 91501-970 Porto Alegre RS Brazil Department of Physics and Astronomy University of Southampton Southampton SO17 3RT UK

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Education for the future

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science 2018年第6396期360卷 1409-1412页

作者： Cheung, Man Kit Schwendimann, Beat A. Ward, Adrian Pietrzak, Barbara Mollaoglu, Gurkan Duong, Michael Tran Allareddy, Veerasathpurush Ulltveit-Moe, Nils Dutton-Regester, Ken Zhang, Jian Scult, Matthew A. Singh, Poonam C. Yan, Hong Young Naz, Saima Isaacson, Kyle Dennis, Allison F. Beardsley, Felicia Rounds Al-Humaidan, Eyad Ibrahim Lo, Cody Jones, Tyler Sood, Prashant Nieuwenhuis, Rense Ali, Basant A. Yu, Kun-Hsing Arthur, Patrick Kobina Kumar, Brijesh Buschke, Falko Chen, Alexander Cingl, Lubomír O’Mullane, Anthony Peter Coetzee, Vinet Zaidi, Syed Shan-e-Ali Konstantinides, Nikos School of Life Sciences Chinese University of Hong Kong Shatin New Territories Hong Kong Graduate School of Education University of California Berkeley Berkeley 94720 CA United States University of Queensland St. Lucia 4072 QLD Australia Department of Hydrobiology Faculty of Biology Biological and Chemical Research Centre University of Warsaw Warsaw 02-089 Poland Department of Oncological Sciences University of Utah School of Medicine Salt Lake City 84112 UT United States Perelman School of Medicine University of Pennsylvania Philadelphia 19104 PA United States University of Illinois College of Dentistry Chicago 60612 IL United States Department of Information and Communication Technology University of Agder 4879 Grimstad Norway Department of Genetics and Computational Biology QIMR Berghofer Medical Research Institute Brisbane 4006 QLD Australia School of Safety and Environmental Engineering Hunan Institute of Technology Hengyang Hunan 421002 China Lahore 54000 Punjab Pakistan Department of Psychology and Neuroscience Duke University Durham 27708 NC United States National Museum of Marine Biology and Aquarium Chercheng Pingtung County 94450 Taiwan Division of Plant Microbe Interactions CSIR–National Botanical Research Institute Lucknow 226001 Uttar Pradesh India Program in Cell Molecular Developmental Biology and Biophysics (CMDB) Johns Hopkins University Baltimore 21218 MD United States Stem Cell and Tissue Re-Engineering Program King Faisal Specialist Hospital and Research Centre Riyadh Saudi Arabia Department of Sociology and Anthropology University of La Verne La Verne 91750 CA United States Department of Bioengineering University of Utah Salt Lake City 84112 UT United States MRC Centre for Medical Mycology University of Aberdeen Aberdeen AB25 2ZD United Kingdom Faculty of Medicine University of British Columbia Vancouver V6T 1Z2 BC Canada School of Engineering Brown University Providence 02912 RI United States

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Author Correction: Experimental and real-world evidence supporting the computational repurposing of bumetanide for APOE4-related Alzheimer's disease

Nature aging

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Nature aging 2021年第12期1卷 1202页

作者： Alice Taubes Phil Nova Kelly A Zalocusky Idit Kosti Mesude Bicak Misha Y Zilberter Yanxia Hao Seo Yeon Yoon Tomiko Oskotsky Silvia Pineda Bin Chen Emily A Aery Jones Krishna Choudhary Brian Grone Maureen E Balestra Fayzan Chaudhry Ishan Paranjpe Jessica De Freitas Nicole Koutsodendris Nuo Chen Celine Wang William Chang Alice An Benjamin S Glicksberg Marina Sirota Yadong Huang Gladstone Institute of Neurological Disease Gladstone Institutes San Francisco CA USA. Biomedical Sciences Graduate Program University of California San Francisco CA USA. Gladstone Center for Translational Advancement Gladstone Institutes San Francisco CA USA. Department of Neurology University of California San Francisco CA USA. Bakar Computational Health Sciences Institute University of California San Francisco CA USA. Department of Pediatrics University of California San Francisco CA USA. Hasso Plattner Institute for Digital Health at Mount Sinai Icahn School of Medicine at Mount Sinai New York NY USA. Department of Genetics and Genomic Sciences Icahn School of Medicine at Mount Sinai New York NY USA. Department of Surgery University of California San Francisco CA USA. Gladstone Institute of Data Science and Biotechnology Gladstone Institutes San Francisco CA USA. Development and Stem Cell Biology Graduate Program University of California San Francisco CA USA. Bakar Computational Health Sciences Institute University of California San Francisco CA USA. marina.sirota@ucsf.edu. Department of Pediatrics University of California San Francisco CA USA. marina.sirota@ucsf.edu. Gladstone Institute of Neurological Disease Gladstone Institutes San Francisco CA USA. yadong.huang@gladstone.ucsf.edu. Biomedical Sciences Graduate Program University of California San Francisco CA USA. yadong.huang@gladstone.ucsf.edu. Gladstone Center for Translational Advancement Gladstone Institutes San Francisco CA USA. yadong.huang@gladstone.ucsf.edu. Department of Neurology University of California San Francisco CA USA. yadong.huang@gladstone.ucsf.edu. Department of Pathology University of California San Francisco CA USA. yadong.huang@gladstone.ucsf.edu.

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159P Spatial organization of B cells in the prediction and prognosis of gastric cancer

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Annals of Oncology 2024年 35卷 S1467-S1467页

作者： R. Tay M. Sachdeva Y.W. Kim M-C. Kook H. Kim J-H. Cheong G. Schmidt T. Yoshikawa T. Oshima H. Ma T. Sheng P. Tan H.I. Grabsch R. Sundar Yong Loo Lin School of Medicine NUS - National University of Singapore Singapore Medical Oncology Department NCIS - National University Cancer Institute Singapore Singapore Department of Cancer Policy and Population Health NCC - National Cancer Center Goyang Republic of Korea Department of Pathology NCC - National Cancer Center Goyang Republic of Korea Department of Pathology Severance Hospital - Yonsei University College of Medicine Seoul Republic of Korea Department of Surgery Yonsei University Seoul Republic of Korea Image Data Sciences AstraZeneca Computational Pathology GmbH Munich Germany Gastric Surgery National Cancer Center Hospital Tokyo Japan Department of Gastrointestinal Surgery Kanagawa Cancer Center Yokohama Japan Cancer and Stem Cell Biology Program Duke-NUS Graduate Medical School Singapore Genome Institute of Singapore A*STAR - Agency for Science Technology and Research Singapore Programme in Cancer & Stem Cell Biology Duke-NUS Graduate Medical School Singapore Pathology Maastricht University Medical Center (MUMC) Maastricht Netherlands Haematology-Oncology NUHS - National University Health System Singapore

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494P Evaluation of transcriptome forward computational strategies to improve molecular diagnosis in rare pediatric neuromuscular disease

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Neuromuscular Disorders 2024年 43卷 104441.331-104441.331页

作者： Silverstein, S. Ganapathy, K. Donkervoort, S. Moy, J. Uapinyoying, B. Gorokhova, S. Ganesh, V. Weisburd, B. Orbach, R. Foley, A. Mohammadi, P. Adams, D. Bonnemann, C. Neuromuscular and Neurogenetics Disorders of Childhood Section NINDS NIH Bethesda USA Undiagnosed Diseases Program NIH Bethesda USA Rutgers New Jersey Medical School Newark USA Department of Integrative Structural and Computational Biology Scripps Research Institute La Jolla USA Graduate College of Computing and Data Science Boston University Boston USA Center for Genetic Medicine Research Children's Research Institute Children's National Hospital Washington DC USA Aix Marseille Univ INSERM MMG Marseille France Department of Medical Genetics Timone Children's Hospital Marseille France The Broad Institute of MIT and Harvard Boston USA Center for Immunity and Immunotherapies Seattle Children's Research Institute Seattle USA Department of Pediatrics University of Washington School of Medicine Seattle USA Department of Genome Sciences University of Washington Seattle USA

Pediatric neuromuscular diseases are a genetically and clinically heterogenous group of disorders of which 30-60% remain molecularly undiagnosed even after evaluation with exome or genome sequencing. Estimates for added diagnostic benefit of transcriptomic sequencing range between 7-32% across different disease groups. Recently, open-source computational tools designed to systematically survey transcriptomic sequencing data for aberrant events have become available. In this study we assess the sensitivity of DROP (OUTRIDER, FRASER and MAE), MINTIE, LeafcutterMD, and ANEVA-H to detect known outliers in pediatric neuromuscular cohorts in order to identify the optimal set of tools for diagnostic use. Each tool selected utilizes a different statistical strategy and experimental design geared for rare disease. Tools were run on three transcriptome cohorts from the NINDS Neuromuscular and Neurogenetic Diseases of Childhood Section: muscle tissue (n=71), cycloheximide treated fibroblasts (n=79) and untreated fibroblasts (n=37). For splicing tools, MINTIE is the best performing tool (recall rate = 9/21, 42%), followed by FRASER (recall rate = 16/41, 36%), then LeafcutterMD (recall rate = 0/41, 0%). For expression outliers, OUTRIDER detects 6% of true positives (1/15), while the addition of healthy GTEx controls does not improve detection. For monoallelic expression, MAE and ANEVA-H will be compared. Additional evaluations to identify the optimal RNA library preparation methodology for these tools is also in progress. Thus far, OUTRIDER yielded one new candidate diagnosis of TRIP4 related disease. Analysis for new candidate variants is ongoing. Based on these results, and those of ongoing experiments, we will provide recommendations for the use of these tools in diagnostic pipelines for rare pediatric neuromuscular disease.

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Mitigation of Chromosome Loss in Clinical CRISPR-Cas9-Engineered T Cells

SSRN

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SSRN 2023年

作者： Tsuchida, Connor A. Brandes, Nadav Bueno, Raymund Trinidad, Marena Mazumder, Thomas Yu, Bingfei Hwang, Byungjin Chang, Christopher Liu, Jamin Sun, Yang Hopkins, Caitlin R. Parker, Kevin R. Qi, Yanyan Satpathy, Ansuman T. Stadtmauer, Edward A. Cate, Jamie H.D. Eyquem, Justin Fraietta, Joseph A. June, Carl H. Chang, Howard Y. Ye, Chun Jimmie Doudna, Jennifer A. University of California Berkeley - University of California San Francisco Graduate Program in Bioengineering University of California Berkeley BerkeleyCA United States Innovative Genomics Institute University of California Berkeley BerkeleyCA United States Division of Rheumatology Department of Medicine University of California San Francisco San FranciscoCA United States Center for Personal Dynamic Regulomes Stanford University StanfordCA United States Parker Institute for Cancer Immunotherapy Stanford University School of Medicine StanfordCA United States Biomedical Sciences Graduate Program University of California San Francisco San FranciscoCA United States Medical Scientist Training Program University of California San Francisco San FranciscoCA United States Department of Medicine University of California San Francisco San FranciscoCA United States Parker Institute for Cancer Immunotherapy San FranciscoCA United States Gladstone-UCSF Institute of Genomic Immunology San FranciscoCA United States Department of Biochemistry and Biophysics University of California San Francisco San FranciscoCA United States Abramson Cancer Center Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Parker Institute for Cancer Immunotherapy Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Center for Cellular Immunotherapies Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Microbiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology Stanford University School of Medicine StanfordCA United States Division of Hematology-Oncology Department of Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department o

CRISPR-Cas9 genome editing has enabled advanced T cell therapies, but occasional loss of the targeted chromosome could be a safety concern. To investigate whether Cas9-induced chromosome loss is a universal phenomenon and evaluate its clinical significance, we conducted a systematic analysis in primary human T cells. Arrayed and pooled CRISPR screens revealed that partial or entire chromosome loss after Cas9-induced DNA cutting is a rare but generalized phenomenon, occurring also in pre-clinical chimeric antigen receptor T cells. T cells with chromosome loss persist for weeks in culture, implying potential interference with clinical use. A modified cell manufacturing process, employed in our first-in-human clinical trial of Cas9-engineered T cells, dramatically reduced chromosome loss while largely preserving genome editing efficacy. Expression of p53 correlated with the protection from chromosome loss observed with this protocol, suggesting both a mechanism and a strategy for T cell engineering that mitigates genotoxicity in the clinic. © 2023, The Authors. All rights reserved.

关键词： T-cells

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SCUBA-2 ULTRA DEEP IMAGING EAO SURVEY (STUDIES) III: Multi-wavelength properties, luminosity functions and preliminary source catalog of 450-μm-selected galaxies

arXiv

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arXiv 2019年

作者： Lim, Chen-Fatt Wang, Wei-Hao Smail, Ian Scott, Douglas Chen, Chian-Chou Chang, Yu-Yen Simpson, James M. Toba, Yoshiki Shu, Xinwen Clements, Dave Greenslade, Josh Ao, Yiping Babul, Arif Birkin, Jack Chapman, Scott C. Cheng, Tai-An Cho, Brian S. Dannerbauer, Helmut Dudzeviciute, Ugne Dunlop, James Gao, Yu Goto, Tomotsugu Ho, Luis C. Hsu, Li-Ting Hwang, Ho Seong Jeong, Woong-Seob Koprowski, MacIej Lee, Chien-Hsiu Lin, Ming-Yi Lin, Wei-Ching Michalowski, Micha J. Parsons, Harriet Sawicki, Marcin Shirley, Raphael Shim, Hyunjin Urquhart, Sheona Wang, Jianfa Wang, Tao Graduate Institute of Astrophysics National Taiwan University Taipei10617 Academia Sinica Institute of Astronomy and Astrophysics No. 1 Sec. 4 Roosevelt Rd Taipei10617 Taiwan Centre for Extragalactic Astronomy Department of Physics Durham University South Road DurhamDH13LE United Kingdom Dept. of Physics and Astronomy Univ. of British Columbia Vancouver Canada European Southern Observatory Karl Schwarzschild Strasse 2 Garching Germany Department of Astronomy Kyoto University Kitashirakawa-Oiwake-cho Kyoto606-8502 Japan Research Center for Space and Cosmic Evolution Ehime University 2-5 Bunkyo-cho Matsuyama Ehime790-8577 Department of Physics Anhui Normal University Wuhu Anhui241000 Blackett Lab Imperial College Prince Consort Road LondonSW72AZ United Kingdom Kapteyn Astronomical Institute University of Groningen Postbus 800 Groningen9700 Purple Mountain Observatory Chinese Academy of Sciences Nanjing210008 China Department of Physics and Astronomy University of Victoria 3800 Finnerty Road Victoria BCV8P5C2 Canada Department of Physics and Astronomy University of British Columbia 6225 Agricultural Road VancouverV6T1Z1 Canada National Research Council Herzberg Astronomy and Astrophysics 5071 West Saanich Road VictoriaV9E2E7 Canada Department of Physics and Atmospheric Science Dalhousie University HalifaxB3H4R2 Canada Astronomy Program Department of Physics and Astronomy Seoul National University Gwanak-gu Seoul151-742 Korea Republic of Instituto de Astrosica de Canarias La Laguna TenerifeE-38205 Spain Universidad de la Laguna Dpto. Astrosica La Laguna TenerifeE-38206 Institute for Astronomy University of Edinburgh Blackford Hill EdinburghEH93HJ United Kingdom Purple Mountain Observatory PMO Key Lab of Radio Astronomy Chinese Academy of Sciences Nanjing210008 China National Tsing Hua University No. 101 Section 2 Kuang-Fu Road Hsinchu Taiwan30013 Taiwan Kavli Institute for Astronomy and Astrophysics Peking University B

We construct a SCUBA-2 450-μm map in the COSMOS field that covers an area of 300 arcmin2 and reaches a 1δ noise level of 0.65 mJy in the deepest region. We extract 256 sources detected at 450 μm with signal-to-noise ratio > 4.0 and analyze the physical properties of their multi-wavelength counterparts. We find that most of the sources are at z . 3, with a median of z = 1.79+0.03-0.15. About 35+32-25% of our sources are classified as starburst galaxies based on their total star-formation rates (SFRs) and stellar masses (Mo). By fitting the far-infrared spectral energy distributions, we find that our 450-μm-selected sample has a wide range of dust temperatures (20K . Td . 60 K), with a median of Td = 38.3+0.4-0.9 K. We do not find a redshift evolution in dust temperature for sources with LIR > 1012 Lfi at z 1012 Lfi population to the SFR density rises dramatically from z = 0 to 2 (/(1 + z)3.91.1) and dominates the total SFR density at z and 2. Copyright © 2019, The Authors. All rights reserved.

关键词： Galaxies

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Erratum for Wang et al., "Clinically Applicable System for Rapidly Predicting Enterococcus faecium Susceptibility to Vancomycin"

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Microbiology spectrum 2022年第1期10卷 e0261021页

作者： Hsin-Yao Wang Chia-Ru Chung Chao-Jung Chen Ko-Pei Lu Yi-Ju Tseng Tzu-Hao Chang Min-Hsien Wu Wan-Ting Huang Ting-Wei Lin Tsui-Ping Liu Tzong-Yi Lee Jorng-Tzong Horng Jang-Jih Lu Department of Laboratory Medicine Chang Gung Memorial Hospitalgrid.413801.f at Linkou Taoyuan City Taiwan. Ph.D. Program in Biomedical Engineering Chang Gung Universitygrid.145695.a Taoyuan City Taiwan. Department of Computer Science and Information Engineering National Central Universitygrid.37589.30 Taoyuan City Taiwan. Graduate Institute of Integrated Medicine China Medical Universitygrid.254145.3 Taichung Taiwan. Proteomics Core Laboratory China Medical Universitygrid.254145.3 Hospital Taichung Taiwan. Graduate Program in Biomedical Information Yuan-Ze University Taoyuan City Taiwan. Department of Information Management Chang Gung Universitygrid.145695.a Taoyuan City Taiwan. Graduate Institute of Biomedical Informatics Taipei Medical University Taipei City Taiwan. Clinical Big Data Research Center Taipei Medical University Hospital Taipei City Taiwan. Graduate Institute of Biomedical Engineering Chang Gung Universitygrid.145695.a Taoyuan City Taiwan. Division of Haematology/Oncology Department of Internal Medicine Chang Gung Memorial Hospitalgrid.413801.f at Linkou Taoyuan City Taiwan. Biosensor Group Biomedical Engineering Research Center Chang Gung Universitygrid.145695.a Taoyuan City Taiwan. Department of Pathology Kaohsiung Chang Gung Memorial Hospitalgrid.413801.f and Chang Gung University College of Medicine Kaohsiung Taiwan. School of Life and Health Sciences The Chinese University of Hong Kong Shenzhen China. Warshel Institute for Computational Biology The Chinese University of Hong Kong Shenzhen China. Department of Bioinformatics and Medical Engineering Asia University Taichung City Taiwan. School of Medicine Chang Gung Universitygrid.145695.a Taoyuan City Taiwan. Department of Medical Biotechnology and Laboratory Science Chang Gung Universitygrid.145695.a Taoyuan City Taiwan.

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