Huiqing Zhou

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 study examines the effects of corneal injury and duloxetine treatment on limbal stem cell identity using single-cell transcriptomics in a mouse model.

This study identifies p63 and p73 as regulators of shared and factor-specific transcriptional programs in cutaneous squamous cell carcinoma, revealing their roles in proliferation and tumor maintenance.

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 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.

ANANSE predicts key transcription factors in cell fate determination by analyzing enhancer-based regulatory networks across 18 human tissues.

The paper investigates how mutations in distinct genes causing intellectual disability and autism affect neuronal network development, finding shared effects on excitability and synaptic function.

This study shows that EHMT1 deficiency in human neurons leads to NMDAR hyperfunction, causing neuronal network dysfunction in Kleefstra syndrome, and demonstrates pharmacological rescue of these phenotypes.

The paper uses single-cell RNA-seq to identify a reversible epithelial-mesenchymal transition in p63 mutation-induced differentiation defects of human iPSCs.

The paper investigates how p63 and CTCF cooperate to shape chromatin architecture in skin keratinocytes by analyzing multi-omics data from patients with p63 mutations.

This study investigates how p63 mutations alter the enhancer landscape in epidermal keratinocytes, affecting cell identity through changes in gene regulation.

The paper identifies ZMAT2 as a regulator of human epidermal differentiation through interactions with epigenetic modifiers and the pre-spliceosome, highlighting joint control of cell adhesion genes.