Dulce Lima Cunha

The paper uses single-cell multi-modal analysis to identify molecular drivers of limbal stem cell differentiation from human PSCs, revealing key transcription factors and enhancers involved in lineage specification.

This paper integrates single-cell RNA-seq data to create a human corneal cell state meta-atlas and develops a machine learning tool to annotate cell states and identify key transcription factors.

This study identifies metabolic and neuroactivity imbalances in plasma from PAX6 haploinsufficient aniridia patients, highlighting systemic effects beyond ocular defects.

This study uses scRNA-seq to analyze hPSC differentiation into corneal limbal stem cells, identifying nine clusters and four novel cell states, and provides markers for isolating pure LSC-like populations.

This study uses patient iPSC-derived models to test TRIDs for restoring PAX6 function in aniridia, identifying amlexanox as effective in increasing PAX6 levels and rescuing disease phenotypes.

The paper identifies transcription factor interplay in corneal epithelial fate determination and disease using multi-omics analyses of limbal stem cells and epidermal keratinocytes.