432 results on '"Greenbaum, Jason"'
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52. Pre-Existing Immunity against Swine-Origin H1N1 Influenza Viruses in the General Human Population
53. Kinetic Analysis of a Complete Poxvirus Transcriptome Reveals an Immediate-Early Class of Genes
54. Transcriptomes and metabolism define mouse and human MAIT cell heterogeneity
55. T-cell recognition is shaped by epitope sequence conservation in the host proteome and microbiome
56. Transcriptomics of acute DENV-specific CD8+ T cells does not support qualitative differences as drivers of disease severity
57. The immune epitope database (IEDB) 3.0
58. A phase 1b study of personalized neoantigen vaccine plus pembrolizumab in adults with advanced cancer.
59. Computational models of Immunity – Pertussis Boost (CMI-PB): Engaging the broader scientific community to develop predictive models of Tdap booster vaccination.
60. TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors
61. Functional classification of class II human leukocyte antigen (HLA) molecules reveals seven different supertypes and a surprising degree of repertoire sharing across supertypes
62. comprehensive analysis of the IEDB MHC class-I automated benchmark.
63. TCRMatch: Predicting T-Cell Receptor Specificity Based on Sequence Similarity to Previously Characterized Receptors
64. Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project
65. TCRMatch: Predicting T-cell receptor specificity based on sequence similarity to previously characterized receptors
66. Comprehensive analysis of T cell immunodominance and immunoprevalence of SARS-CoV-2 epitopes in COVID-19 cases
67. Combined assessment of MHC binding and antigen expression improves T cell epitope predictions
68. Developmentally distinct CD4+ T reg lineages shape the CD8+ T cell response to acute Listeria infection.
69. Ontology Development for the Immune Epitope Database
70. Transcriptome and Chromatin Landscape of iNKT cells are Shaped by Subset Differentiation and Antigen Exposure
71. A behind‐the‐scenes tour of the IEDB curation process: an optimized process empirically integrating automation and human curation efforts
72. Late-rising CD4 T cells show dramatic control of cytomegalovirus persistence
73. Identification of MLL1 as a novel regulator of Tfh cell differentiation
74. TLR9 Sensing of Self-DNA Controls Cell-Mediated Immunity to Listeria Infection via Rapid Conversion of Conventional CD4+ T Cells to Treg
75. The Immune Epitope Database 2.0
76. Mapping nucleic acid structure by hydroxyl radical cleavage
77. Immune epitope database analysis resource (IEDB-AR)
78. Memory T cells in latent mycobacterium tuberculosis infection are directed against three antigenic islands and largely contained in a CXCR3+CCR6+ Th1 subset
79. Immunological consequences of intragenus conservation of Mycobacterium tuberculosis T-cell epitopes
80. IEDB-AR: immune epitope database-analysis resource in 2019
81. Abstract 3374: Assessing the impact of neoantigen load on checkpoint blockade efficacy
82. Circulating T cell-monocyte complexes are markers of immune perturbations
83. Author response: Circulating T cell-monocyte complexes are markers of immune perturbations
84. IEDB-AR: immune epitope database—analysis resource in 2019
85. CD4 T cell transcriptomics reveal novel diagnostic and mechanistic immune signatures of tuberculosis
86. Database of Immune Cell EQTLs, Expression, Epigenomics
87. Assessing the impact of neoantigen load on checkpoint blockade efficacy
88. Assessment of the global chromatin landscape and transcriptome of peripheral iNKT cell subsets
89. Impact of genetic polymorphisms on human immune cell gene expression
90. Abstract PR12: Functional identification and therapeutic targeting of tumor neoantigens
91. Impact of Genetic Polymorphisms on Human Immune Cell Gene Expression
92. Improved methods for predicting peptide binding affinity to MHC class II molecules
93. No cell is an island: circulating T cell:monocyte complexes are markers of immune perturbations
94. Predicting T cell recognition of MHC class I restricted neoepitopes
95. Response to Comment on “Development of Asthma in Inner-City Children: Possible Roles of MAIT Cells and Variation in the Home Environment”
96. Transcriptomic Analysis of CD4+ T Cells Reveals Novel Immune Signatures of Latent Tuberculosis
97. Unique phenotypes and clonal expansions of human CD4 effector memory T cells re-expressing CD45RA
98. Improved methods for predicting peptide binding affinity to MHC class II molecules
99. An automated benchmarking platform for MHC class II binding prediction methods
100. Unique phenotypes and clonal expansions of human CD4 effector memory T cells re-expressing CD45RA
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