Juan Camilo Nieto

This study presents the first comprehensive single-cell and multi-omic atlas of pleural effusions, revealing disease-specific immune landscapes and tumor heterogeneity.

This paper constructs a single-cell atlas of circulating immune cells to understand inflammation across diseases and develops a classifier for inflammatory diseases.

STAMP enables low-cost, high-throughput single-cell analysis by integrating transcriptomics and proteomics imaging, supporting both single and multimodal profiling of diverse cell types.

This study tracks T cell dynamics in a pediatric cancer patient post-ICI therapy to identify tumor-reactive TCRs for personalized TCR-T cell therapy.

The paper uses single-cell sequencing and spatial transcriptomics to compare immune responses in leptomeningeal disease with other CNS disorders, identifying disease-specific immune environments and progression mechanisms.

The paper quantifies adaptive evolution in human immune cell types and states, finding elevated adaptation rates in specific cell types and early immune responses.

FixNCut is a reversible fixation and dissociation method that preserves RNA integrity and cellular composition in human and mouse tissues, enabling robust single-cell and spatial analyses.