Carolina Guibentif

The paper uses single-cell transcriptomics to study thyroid lineage development in mice, identifying gene regulatory networks and lineage-specific processes that explain how thyroid and ultimobranchial cells merge into a dual endocrine organ.

The paper uses scRNA-Seq and computational methods to predict and validate differentiation trajectories during early mammalian organogenesis, showing agreement between computational predictions and experimental outcomes.

The paper develops statistical tools to analyze gene knockouts in mouse embryos and applies them to study developmental disruptions and cancer therapy responses.

This study constructs a rabbit developmental atlas and compares it with mouse data to identify species-specific differences in gene regulation and extra-embryonic tissues.

This paper uses spatial transcriptomics to study mouse organogenesis, revealing spatial gene expression patterns and cell fate decisions not captured by single-cell RNA sequencing.

The paper identifies coordinated step-changes in gene expression kinetics during erythropoiesis in both mouse and human, challenging assumptions of RNA velocity analysis.