Mauricio Rojas

SpaFlow depicts the dynamics of ligand-receptor interaction in spatial transcriptomics data

SpaFlow models ligand-receptor interactions in spatial transcriptomics data by simulating diffusion and binding processes, revealing spatially coherent signaling patterns in multiple disease contexts.

Characterizing Cellular Heterogeneity and Transcriptomic Features of Senotype Using Deep Graph Representation Learning

This paper introduces DeepSAS, a deep graph framework to identify senescent cells and their associated genes, revealing cell-type-specific senescence features in aging and disease.

SenSet, a novel human lung senescence cell gene signature, identifies cell-specific senescence mechanisms

The paper develops SenSet, a gene signature for human lung senescence, validated in 3D culture models and identifies cell-type specific senescence mechanisms in aging and disease.

Single Cell MALDI-MSI Analysis of Lipids and Proteins within a Replicative Senescence Fibroblast Model

This study uses MALDI-MSI to analyze lipids and proteins in human lung fibroblasts, revealing senescence-related changes at the single-cell level.

scResolve: Recovering single cell expression profiles from multi-cellular spatial transcriptomics

scResolve recovers single-cell expression profiles from multi-cellular spatial transcriptomics data, enabling cell type-specific analysis and rare population detection in human tissues.