Pathogen-sugar interactions revealed by universal saturation transfer analysis

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Pathogen-sugar interactions revealed by universal saturation transfer analysis
 
GEN-COVID Multicenter Study
(2022) Science, volume 377, issue 6604, pp. 1 - 18
(Article)
Abstract
Many pathogens exploit host cell-surface glycans. However, precise analyses of glycan ligands binding with heavily modified pathogen proteins can be confounded by overlapping sugar signals and/or compounded with known experimental constraints. Universal saturation transfer analysis (uSTA) builds on existing nuclear magnetic resonance spectroscopy to provide an automated workflow for quantitating ... read more
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Keywords: General
DOI: https://doi.org/10.1126/science.abm3125
ISSN: 0036-8075
Publisher: American Association for the Advancement of Science
Note: Funding Information: Upgrades of 600-MHz and 950-MHz spectrometers were funded by the Wellcome Trust (grant ref: 095872/Z/10/Z) and the Engineering and Physical Sciences Research Council (grant ref: EP/R029849/1), respectively, and by the University of Oxford Institutional Strategic Support Fund, the John Fell Fund, and the Edward Penley Abraham Cephalosporin Fund. We thank the Wellcome Trust for support (20289/Z/16/Z and 100209/Z/12/Z). I.B. is an Investigator of the Wellcome Trust (106115/Z/14/Z). Cryo-EM time was funded by a philanthropic gift to support COVID-19 research at the University of Oxford. The Chemistry theme at the Rosalind Franklin Institute is supported by the EPSRC (V011359/1 (P)). This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement 101002859). A.M.J.J.B. and P.I.K. acknowledge financial support from the European Union Horizon 2020 projects BioExcel (823830) and EOSC-Hub (777536) and the IMI-CARE project (101005077). This study is part of the GEN-COVID Multicenter Study (https://sites.google.com/dbm.unisi.it/gen-covid), the Italian multicenter study aimed at identifying the COVID-19 host genetic bases. Specimens were provided by the COVID-19 Biobank of Siena, which is part of the Genetic Biobank of Siena, member of BBMRI-IT, of Telethon Network of Genetic Biobanks (project GTB18001), of EuroBioBank, and of RDConnect. We thank the CINECA consortium for providing computational resources and the Network for Italian Genomes (NIG; www.nig. cineca.it) for its support. We thank private donors for the support provided to AR (Department of Medical Biotechnologies, University of Siena) for the COVID-19 host genetics research project (D.L n.18 of March 17, 2020). We also thank the COVID-19 Host Genetics Initiative (www.covid19hg.org/), MIUR project "Dipartimenti di Eccellenza 2018-2020" to the Department of Medical Biotechnologies University of Siena, Italy, and "Bando Ricerca COVID-19 Toscana" project to Azienda Ospedaliero- Universitaria Senese. We thank Intesa San Paolo for the 2020 charity fund dedicated to the project N.B/2020/0119 "Identificazione delle basi genetiche determinanti la variabilità clinica della risposta a COVID-19 nella popolazione italiana" and the Tuscany Region for funding within "Bando Ricerca COVID-19 Toscana" project supporting research at the Azienda Ospedaliero- Universitaria Senese. The Italian Ministry of University and Research for funding within the "Bando FISR 2020" in COVID-19 fo the project "Editing dell'RNA contro il Sars-CoV-2: hackerare il virus per identificare bersagli molecolari e attenuare l'infezione - HACKTHECOV" and the Istituto Buddista Italiano Soka Gakkai for funding the project "PAT-COVID: Host genetics and pathogenetic mechanisms of COVID-19" (ID n. 2020-2016_RIC_3). We thank EU project H2020-SC1-FA-DTS-2018-2020, entitled "International consortium for integrative genomics prediction (INTERVENE)" - grant agreement 101016775. Publisher Copyright: Copyright © 2022 The Authors, some rights reserved.
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