Anna Pascual Reguant

This paper identifies and categorizes technical biases in imaging spatial transcriptomics and proposes a unified framework to model these biases.

The paper introduces circVDJ-seq for efficient T cell receptor profiling from single-cell and spatial multi-omics data, revealing distinct immune microenvironments and T cell clonality patterns in various clinical contexts.

The paper develops spFBA to analyze spatial metabolic differences in cancer, revealing metastatic mimicking and lactate-consuming cells in colorectal tumors.

The paper uses spatial molecular imaging data to map human tonsil architecture and provides an analytical framework for Spatial Immunology.

This paper adapts copy number variation inference to image-based spatial transcriptomics data to map malignant clones and tumor microenvironment at single-cell resolution.

This paper traces colorectal cancer progression by integrating spatial transcriptomics, single-nucleus RNA-sequencing, and histopathology to map cellular and molecular changes across tumor stages.

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.

VoltRon is an R package for spatial omics analysis that integrates multi-resolution and multi-omics data through image registration and spatial alignment.