All Publications — CAMS Oxford Institute

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Tracking in situ checkpoint inhibitor-bound target T cells in patients with checkpoint-induced colitis

Gupta T. et al, (2024), Cancer Cell, 42, 797 - 814.e15

Unconventional human CD61 pairing with CD103 promotes TCR signaling and antigen-specific T cell cytotoxicity

Hamid MHBA. et al, (2024), Nature Immunology, 25, 834 - 846

Proximity proteomics reveals UCH-L1 as an essential regulator of NLRP3-mediated IL-1β production in human macrophages and microglia

Liang Z. et al, (2024), Cell Reports, 43, 114152 - 114152

TCR ligand potency differentially impacts PD-1 inhibitory effects on diverse signaling pathways

Chan W. et al, (2023), Journal of Experimental Medicine, 220

Proximity proteomics reveals UCH-L1 as an NLRP3 interactor that modulates IL-1β production in human macrophages and microglia

Liang Z. et al, (2023)

A robust deep learning workflow to predict CD8 + T-cell epitopes

Lee CH. et al, (2023), Genome Medicine, 15

Can we predict T cell specificity with digital biology and machine learning?

Hudson D. et al, (2023), Nature Reviews Immunology, 23, 511 - 521

A robust deep learning platform to predict CD8+ T-cell epitopes

Lee CH. et al, (2022)

Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides

Yang X. et al, (2022), Nature, 612, 771 - 777

Structure of a fully assembled tumor-specific T cell receptor ligated by pMHC

Sušac L. et al, (2022), Cell, 185, 3201 - 3213.e19

Clonally expanded B cells in multiple sclerosis bind EBV EBNA1 and GlialCAM

Lanz TV. et al, (2022), Nature, 603, 321 - 327

Anti-GD2 synergizes with CD47 blockade to mediate tumor eradication

Theruvath J. et al, (2022), Nature Medicine, 28, 333 - 344

Clonally Expanded B Cells in Multiple Sclerosis Bind EBV EBNA1 and GlialCAM

Lanz TV. et al, (2022)

RTN4/NoGo-receptor binding to BAI adhesion-GPCRs regulates neuronal development

Wang J. et al, (2022), Cell, 185, 218 - 218

An immunodominant NP105–113-B*07:02 cytotoxic T cell response controls viral replication and is associated with less severe COVID-19 disease

Peng Y. et al, (2022), Nature Immunology, 23, 50 - 61

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