B. P. Nicolet

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 compares the CO2 equivalent footprint and costs of single-use plastics versus reusable glass/plastic labware, finding re-use reduces CO2e up to 11-fold and has lower or comparable running costs.

The paper identifies RNA binding proteins regulating cytokine production in T cells over time, showing how they influence effector function and anti-tumor responses.

The paper maps RNA-binding protein (RBP) expression in human B and T cells during differentiation, revealing cell-type-specific and differentiation-dependent patterns.

The paper identifies CD29 as a marker to enrich for cytotoxic human CD4+ T cells, showing they express cytotoxic genes and kill target cells.

The study finds that mRNA expression poorly predicts protein levels in CD8+ T cells, but gene class and characteristics like sequence conservation and UTR length influence this relationship.

This study identifies CD29 as a marker for cytotoxic CD8+ T cells, showing its stability and utility in enhancing anti-tumoral activity.

The paper isolates and expands tumor-reactive T cells from NSCLC tumors, finding that polyfunctional T cells correlate with immune-engaged T cell profiles and tumor reactivity.

This study shows TLR2 ligands lower antigen thresholds for cytokine production and enhance polyfunctional CD8+ T cell responses through mRNA stabilization and costimulation.

The paper shows that post-transcriptional regulation, specifically mRNA stability, limits IFN-γ production in tumor-infiltrating T cells, and restoring this stability enhances anti-tumor effects.

The paper analyzes circRNA expression in human hematopoietic cells, finding cell-type specific patterns and increased expression during maturation.