Shin Lin

This paper describes the construction and usage of the Human Reference Atlas (HRA) v2.0, which integrates multiscale data across 36 organs and provides tools for analysis and visualization.

The paper uses single-nucleus ATAC-Seq and RNA-Seq to analyze age and sex differences in human heart cells, identifying gene expression and chromatin changes linked to these factors.

The paper maps cell organization and function across human intestine regions using single nuclear RNA and open chromatin assays, revealing distinct cell neighborhoods and regulatory differences.

The paper identifies dynamic cis-regulatory elements in epidermal differentiation using multi-omic data and deep learning, revealing combinatorial motif rules linked to gene expression and polygenic skin disease.

PIXEL-seq barcodes tissue sections with continuous polony clusters on a gel surface, reporting ≤1 µm resolution and >1,000 unique molecular identifiers per 10x10 µm2.

The paper quantifies protein levels across 32 human tissues and compares them to transcriptome data, revealing insights into post-transcriptional regulation and disease mechanisms.