PhD Candidate | Seoul National Univ ‘19~ | Genomic Medicine Institute(GMI) | scRNA-seq, multiomics, Spatial genomics, sceQTL, GWAS, and Human reference 🧬
Thrilled to share my first paper on GWAS! 📚🧬We utilized imputed genotypes through a new Asian population panel we established, and integrated GWAS with snATAC data to uncover causal cell types! 🧬🧪 Published in Science Advances today! 🎉🥳🥳
Finally! Inferring cell velocity with scRNA and snATAC in single cell is out! 🧬
Multi-omic single-cell velocity models epigenome–transcriptome interactions and improves cell fate prediction
High resolution map🗺️ of Spatial histone modification using Epigenetic MERFISH
Spatially resolved epigenomic profiling of single cells in complex tissues
Integrating genetics with single-cell multiomic measurements across disease states identifies mechanisms of beta cell dysfunction in type 2 diabetes
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Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response
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sci-seq is a great single cell profiling tech such as 10X genomics. It is cost-efficient and could make you obtain more nuclei in one experiment!🥣
Optimized single-nucleus transcriptional profiling by combinatorial indexing
Integrated single-cell chromatin and transcriptomic analyses of human scalp identify gene-regulatory programs and critical cell types for hair and skin diseases
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Tracing a history of cell-cell contact.
Intercellular genetic approach using the synthetic Notch pathway (synNotch)
Monitoring of cell-cell communication and contact history in mammals | Science