Aurélie Guislain

The paper develops a validated TCR-pMHC database (TCRvdb) by assessing VDJdb entries with a high-throughput platform, finding only 50% of claims are functionally confirmed.

PAIR-Scan identifies potent TCR-neoantigen pairs from tumor samples through library-on-library screening, enabling efficient analysis of T cell reactivity.

The paper identifies proteomic regulators of T cell functionality in cancer using proteomic and transcriptomic profiling of tumor-infiltrating T cells.

The paper identifies RNA binding proteins and cis-regulatory elements that control translation in human effector T cells through multi-omics and machine learning analysis.

This study uses single-molecule FISH to analyze cytokine mRNA dynamics in T cells, revealing transcriptional heterogeneity and post-transcriptional regulation by HuR.

SONAR, a machine learning pipeline, learns the sequence code for protein abundance in human immune cells, revealing cell type-specific and activation-dependent sequence features that can enhance T cell receptor expression.

This study identifies that high B cell infiltrates in NSCLC tumors, associated with tertiary lymphoid structures, negatively correlate with the tumor-reactivity of expanded TIL products.

This study shows ZFP36L2 regulates IFNγ production in T cells differently depending on activation context and time, by destabilizing Ifng mRNA in an AU-rich element-dependent manner.