SARS-CoV-2 Nsp13 encodes for an HLA-E-stabilizing peptide that abrogates inhibition of NKG2A-expressing NK cells
暂无分享,去创建一个
H. Ljunggren | A. Franke | M. Mori | J. Klingström | M. Aouadi | F. Degenhardt | K. Malmberg | C. Romagnani | Herman Netskar | V. Azzimato | T. Sekine | A. Horowitz | Q. Hammer | J. Michaëlsson | M. Wendorff | N. Björkström | Marina García | F. Spallotta | W. Christ | Ebba Sohlberg | Josefine Dunst | K. Maleki | O. Huhn | T. Rückert | Francesca Picarazzi | Pouria Momayyezi | Karl-Johan Malmberg | Kimia T. Maleki | Francesco Spallotta | Quirin Hammer
[1] C. Conrad,et al. Untimely TGFβ responses in COVID-19 limit antiviral functions of NK cells , 2021, Nature.
[2] Konrad U. Förstner,et al. Early IFN-α signatures and persistent dysfunction are distinguishing features of NK cells in severe COVID-19 , 2021, Immunity.
[3] M. Nöthen,et al. New susceptibility loci for severe COVID-19 by detailed GWAS analysis in European populations , 2021, medRxiv.
[4] H. Ljunggren,et al. Natural killer cells in antiviral immunity , 2021, Nature reviews. Immunology.
[5] J. Liu,et al. The ORF8 protein of SARS-CoV-2 mediates immune evasion through down-regulating MHC-Ι , 2021, Proceedings of the National Academy of Sciences.
[6] P. Bork,et al. Interactive Tree Of Life (iTOL) v5: an online tool for phylogenetic tree display and annotation , 2021, Nucleic Acids Res..
[7] Avital Lev,et al. Viral infection modulates Qa-1b in infected and bystander cells to properly direct NK cell killing , 2021, The Journal of experimental medicine.
[8] F. Borrego,et al. T Cell Activation, Highly Armed Cytotoxic Cells and a Shift in Monocytes CD300 Receptors Expression Is Characteristic of Patients With Severe COVID-19 , 2021, Frontiers in Immunology.
[9] J. Schultze,et al. COVID-19 and the human innate immune system , 2021, Cell.
[10] Xiandong Tao,et al. Natural killer cells associated with SARS-CoV-2 viral RNA shedding, antibody response and mortality in COVID-19 patients , 2021, Experimental Hematology & Oncology.
[11] A. Sette,et al. Adaptive immunity to SARS-CoV-2 and COVID-19 , 2021, Cell.
[12] Aaron J. Wilk,et al. Multi-omic profiling reveals widespread dysregulation of innate immunity and hematopoiesis in COVID-19 , 2020, bioRxiv.
[13] V. Thiel,et al. Coronavirus biology and replication: implications for SARS-CoV-2 , 2020, Nature Reviews Microbiology.
[14] J. C. Cohen Tervaert,et al. Impaired natural killer cell counts and cytolytic activity in patients with severe COVID-19 , 2020, Blood Advances.
[15] D. Sahoo,et al. AI-guided discovery of the invariant host response to viral pandemics , 2020, bioRxiv.
[16] André F. Rendeiro,et al. Longitudinal immune profiling of mild and severe COVID-19 reveals innate and adaptive immune dysfunction and provides an early prediction tool for clinical progression , 2020, medRxiv.
[17] D. Cummings,et al. Age-specific mortality and immunity patterns of SARS-CoV-2 infection in 45 countries , 2020, medRxiv.
[18] B. Reinius,et al. Natural killer cell immunotypes related to COVID-19 disease severity , 2020, Science Immunology.
[19] Bijal A. Parikh,et al. Control of Viral Infection by Natural Killer Cell Inhibitory Receptors , 2020, Cell reports.
[20] J. Erdmann,et al. Genomewide Association Study of Severe Covid-19 with Respiratory Failure , 2020, The New England journal of medicine.
[21] Aaron J. Wilk,et al. A single-cell atlas of the peripheral immune response in patients with severe COVID-19 , 2020, Nature Medicine.
[22] L. Cosmi,et al. Impaired immune cell cytotoxicity in severe COVID-19 is IL-6 dependent. , 2020, The Journal of clinical investigation.
[23] I. Amit,et al. Single-cell landscape of bronchoalveolar immune cells in patients with COVID-19 , 2020, Nature Medicine.
[24] Aaron J. Wilk,et al. A single-cell atlas of the peripheral immune response to severe COVID-19 , 2020, medRxiv.
[25] R. Bruno,et al. Unique immunological profile in patients with COVID-19 , 2020, Cellular & Molecular Immunology.
[26] Z. Tian,et al. Functional exhaustion of antiviral lymphocytes in COVID-19 patients , 2020, Cellular & Molecular Immunology.
[27] K. Yuen,et al. Clinical Characteristics of Coronavirus Disease 2019 in China , 2020, The New England journal of medicine.
[28] J. Verbsky,et al. Heterogeneity of human bone marrow and blood natural killer cells defined by single-cell transcriptome , 2019, Nature Communications.
[29] Jeff E. Mold,et al. Unique transcriptional and protein-expression signature in human lung tissue-resident NK cells , 2019, Nature Communications.
[30] Simon C. Potter,et al. The EMBL-EBI search and sequence analysis tools APIs in 2019 , 2019, Nucleic Acids Res..
[31] J. Aurelius,et al. The HLA-B -21 dimorphism impacts on NK cell education and clinical outcome of immunotherapy in acute myeloid leukemia. , 2019, Blood.
[32] Vincent A. Traag,et al. From Louvain to Leiden: guaranteeing well-connected communities , 2018, Scientific Reports.
[33] C. Romagnani,et al. Natural killer cell specificity for viral infections , 2018, Nature Immunology.
[34] J. Walter,et al. Peptide-specific recognition of human cytomegalovirus strains controls adaptive natural killer cells , 2018, Nature Immunology.
[35] Fabian J Theis,et al. SCANPY: large-scale single-cell gene expression data analysis , 2018, Genome Biology.
[36] M. Veldhoen. Guidelines for the use of flow cytometry , 2017, Immunity, inflammation and disease.
[37] J. Paul Robinson,et al. Guidelines for the use of flow cytometry and cell sorting in immunological studies. , 2017, European journal of immunology.
[38] P. Parham,et al. Class I HLA haplotypes form two schools that educate NK cells in different ways , 2016, Science Immunology.
[39] M. Altfeld,et al. Sequence variations in HCV core-derived epitopes alter binding of KIR2DL3 to HLA-C∗03:04 and modulate NK cell function. , 2016, Journal of hepatology.
[40] M. Uhrberg,et al. Age-related changes in natural killer cell repertoires: impact on NK cell function and immune surveillance , 2016, Cancer Immunology, Immunotherapy.
[41] Morten Nielsen,et al. Gapped sequence alignment using artificial neural networks: application to the MHC class I system , 2016, Bioinform..
[42] S. Le Gall,et al. A Conserved HIV-1-Derived Peptide Presented by HLA-E Renders Infected T-cells Highly Susceptible to Attack by NKG2A/CD94-Bearing Natural Killer Cells , 2016, PLoS pathogens.
[43] Jaclyn K. Mann,et al. Selection of an HLA-C*03:04-Restricted HIV-1 p24 Gag Sequence Variant Is Associated with Viral Escape from KIR2DL3+ Natural Killer Cells: Data from an Observational Cohort in South Africa , 2015, PLoS medicine.
[44] C. Simmerling,et al. ff14SB: Improving the Accuracy of Protein Side Chain and Backbone Parameters from ff99SB. , 2015, Journal of chemical theory and computation.
[45] J. Orange. Natural killer cell deficiency. , 2013, Journal of Allergy and Clinical Immunology.
[46] P. Nordlund,et al. Monitoring Drug Target Engagement in Cells and Tissues Using the Cellular Thermal Shift Assay , 2013, Science.
[47] Daniel R Roe,et al. PTRAJ and CPPTRAJ: Software for Processing and Analysis of Molecular Dynamics Trajectory Data. , 2013, Journal of chemical theory and computation.
[48] Holger Gohlke,et al. MMPBSA.py: An Efficient Program for End-State Free Energy Calculations. , 2012, Journal of chemical theory and computation.
[49] D. Higgins,et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega , 2011, Molecular systems biology.
[50] Todd M. Allen,et al. HIV-1 adaptation to NK cell mediated immune pressure , 2011, Nature.
[51] S. Jonjić,et al. Cytomegalovirus immunoevasin reveals the physiological role of “missing self” recognition in natural killer cell dependent virus control in vivo , 2010, The Journal of experimental medicine.
[52] Wolfgang Viechtbauer,et al. Conducting Meta-Analyses in R with the metafor Package , 2010 .
[53] H. Ljunggren,et al. Estimation of the Size of the Alloreactive NK Cell Repertoire: Studies in Individuals Homozygous for the Group A KIR Haplotype1 , 2008, The Journal of Immunology.
[54] K. Kärre. Natural killer cell recognition of missing self , 2008, Nature Immunology.
[55] J. Dowd,et al. Socioeconomic disparities in the seroprevalence of cytomegalovirus infection in the US population: NHANES III , 2008, Epidemiology and Infection.
[56] T. Beddoe,et al. CD94-NKG2A recognition of human leukocyte antigen (HLA)-E bound to an HLA class I leader sequence , 2008, The Journal of experimental medicine.
[57] Bjoern Peters,et al. Quantitative peptide binding motifs for 19 human and mouse MHC class I molecules derived using positional scanning combinatorial peptide libraries , 2008, Immunome research.
[58] Holger Gohlke,et al. The Amber biomolecular simulation programs , 2005, J. Comput. Chem..
[59] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[60] Alessandro Sette,et al. Generating quantitative models describing the sequence specificity of biological processes with the stabilized matrix method , 2005, BMC Bioinformatics.
[61] G. Ahlenstiel,et al. The HLA-A2 restricted T cell epitope HCV core 35-44 stabilizes HLA-E expression and inhibits cytolysis mediated by natural killer cells. , 2005, The American journal of pathology.
[62] B. Honig,et al. A hierarchical approach to all‐atom protein loop prediction , 2004, Proteins.
[63] O. Lund,et al. novel sequence representations Reliable prediction of T-cell epitopes using neural networks with , 2003 .
[64] J. Ellwart,et al. Cutting Edge: The Human Cytomegalovirus UL40 Gene Product Contains a Ligand for HLA-E and Prevents NK Cell-Mediated Lysis1 , 2000, The Journal of Immunology.
[65] A. McMichael,et al. Surface expression of HLA-E, an inhibitor of natural killer cells, enhanced by human cytomegalovirus gpUL40. , 2000, Science.
[66] M. Llano,et al. HLA‐E‐bound peptides influence recognition by inhibitory and triggering CD94/NKG2 receptors: preferential response to an HLA‐G‐derived nonamer , 1998, European journal of immunology.
[67] D. Goodlett,et al. HLA-E surface expression depends on binding of TAP-dependent peptides derived from certain HLA class I signal sequences. , 1998, Journal of immunology.
[68] M. Llano,et al. HLA-E is a major ligand for the natural killer inhibitory receptor CD94/NKG2A. , 1998, Proceedings of the National Academy of Sciences of the United States of America.
[69] J. Bell,et al. HLA-E binds to natural killer cell receptors CD94/NKG2A, B and C , 1998, Nature.
[70] C. Romagnani,et al. About Training and Memory: NK-Cell Adaptation to Viral Infections. , 2017, Advances in immunology.
[71] E. Reefman,et al. of Cytotoxic Granules in NK Cells Cytokine Secretion Is Distinct from Secretion , 2010 .
[72] L. Lanier,et al. NK cell recognition of mouse cytomegalovirus-infected cells. , 2006, Current topics in microbiology and immunology.
[73] Lewis L Lanier,et al. NK cell recognition. , 2005, Annual review of immunology.
[74] T. N. Bhat,et al. The Protein Data Bank , 2000, Nucleic Acids Res..
[75] K. Kärre. How to recognize a foreign submarine. , 1997, Immunological reviews.
[76] H. Ljunggren,et al. In search of the 'missing self': MHC molecules and NK cell recognition. , 1990, Immunology today.