The impact of viral mutations on recognition by SARS-CoV-2 specific T cells.

We identify amino acid variants within dominant SARS-CoV-2 T cell epitopes by interrogating global sequence data. Several variants within nucleocapsid and ORF3a epitopes have arisen independently in multiple lineages and result in loss of recognition by epitope-specific T cells assessed by IFN-γ and cytotoxic killing assays. Complete loss of T cell responsiveness was seen due to Q213K in the A∗01:01-restricted CD8+ ORF3a epitope FTSDYYQLY207-215; due to P13L, P13S, and P13T in the B∗27:05-restricted CD8+ nucleocapsid epitope QRNAPRITF9-17; and due to T362I and P365S in the A∗03:01/A∗11:01-restricted CD8+ nucleocapsid epitope KTFPPTEPK361-369. CD8+ T cell lines unable to recognize variant epitopes have diverse T cell receptor repertoires. These data demonstrate the potential for T cell evasion and highlight the need for ongoing surveillance for variants capable of escaping T cell as well as humoral immunity.This work is supported by the UK Medical Research Council (MRC); Chinese Academy of Medical Sciences(CAMS) Innovation Fund for Medical Sciences (CIFMS), China; National Institute for Health Research (NIHR)Oxford Biomedical Research Centre, and UK Researchand Innovation (UKRI)/NIHR through the UK Coro-navirus Immunology Consortium (UK-CIC). Sequencing of SARS-CoV-2 samples and collation of data wasundertaken by the COG-UK CONSORTIUM. COG-UK is supported by funding from the Medical ResearchCouncil (MRC) part of UK Research & Innovation (UKRI),the National Institute of Health Research (NIHR),and Genome Research Limited, operating as the Wellcome Sanger Institute. T.I.d.S. is supported by a Well-come Trust Intermediate Clinical Fellowship (110058/Z/15/Z). L.T. is supported by the Wellcome Trust(grant number 205228/Z/16/Z) and by theUniversity of Liverpool Centre for Excellence in Infectious DiseaseResearch (CEIDR). S.D. is funded by an NIHR GlobalResearch Professorship (NIHR300791). L.T. and S.C.M.are also supported by the U.S. Food and Drug Administration Medical Countermeasures Initiative contract75F40120C00085 and the National Institute for Health Research Health Protection Research Unit (HPRU) inEmerging and Zoonotic Infections (NIHR200907) at University of Liverpool inpartnership with Public HealthEngland (PHE), in collaboration with Liverpool School of Tropical Medicine and the University of Oxford.L.T. is based at the University of Liverpool. M.D.P. is funded by the NIHR Sheffield Biomedical ResearchCentre (BRC – IS-BRC-1215-20017). ISARIC4C is supported by the MRC (grant no MC_PC_19059). J.C.K.is a Wellcome Investigator (WT204969/Z/16/Z) and supported by NIHR Oxford Biomedical Research Centreand CIFMS. The views expressed are those of the authors and not necessarily those of the NIHR or MRC

Structure-based design of selective fat mass and obesity associated protein (FTO) inhibitors

FTO catalyzes the Fe(II) and 2-oxoglutarate (2OG)-dependent modification of nucleic acids, including the demethylation of N6-methyladenosine (m6A) in mRNA. FTO is a proposed target for anti-cancer therapy. Using information from crystal structures of FTO in complex with 2OG and substrate mimics, we designed and synthesized two series of FTO inhibitors, which were characterized by turnover and binding assays, and by X-ray crystallography with FTO and the related bacterial enzyme AlkB. A potent inhibitor employing binding interactions spanning the FTO 2OG and substrate binding sites was identified. Selectivity over other clinically targeted 2OG oxygenases was demonstrated, including with respect to the hypoxia-inducible factor prolyl and asparaginyl hydroxylases (PHD2 and FIH) and selected JmjC histone demethylases (KDMs). The results illustrate how structure-based design can enable the identification of potent and selective 2OG oxygenase inhibitors and will be useful for the development of FTO inhibitors for use in vivo

Simeprevir potently suppresses SARS-CoV-2 replication and synergizes with remdesivir

202307 bcchVersion of RecordRGCOthersH2020 SC1-PHE-Coronavirus-2020; National Institute of Allergy and Infectious Diseases; Croucher Foundation; Hong Kong Baptist University; Fondation pour la Recherche Médicale; National Research Foundation of Korea; Chinese University of Hong Kong; Faculty of Medicine, Prince of Songkla University; Ministry of Science and ICT, South KoreaPublishe

Cube - An online tool for comparison and contrasting of protein sequences

When comparing sequences of similar proteins, two kinds of questions can be asked, and the related two kinds of inference made. First, one may ask to what degree they are similar, and then, how they differ. In the first case one may tentatively conclude that the conserved elements common to all sequences are of central and common importance to the protein's function. In the latter case the regions of specialization may be discriminative of the function or binding partners across subfamilies of related proteins. Experimental efforts - mutagenesis or pharmacological intervention - can then be pointed in either direction, depending on the context of the study. Cube simplifies this process for users that already have their favorite sets of sequences, and helps them collate the information by visualization of the conservation and specialization scores on the sequence and on the structure, and by spreadsheet tabulation. All information can be visualized on the spot, or downloaded for reference and later inspection. Server homepage: http://eopsf.org/cub