Di Zhang

This paper uses surprisal information-theoretic analysis on spatial transcriptomic data from human glioblastoma to uncover hidden spatial programs and interactions not detected by standard methods.

This study identifies two epigenetically-defined spatial niches in glioblastoma that influence cell state plasticity through local and long-range molecular signals.

Spatial tri-omic sequencing (DBiT ARP-seq and DBiT CTRP-seq) and CODEX imaging map chromatin, RNA, and protein dynamics across mammalian brain development and lysolecithin-induced neuroinflammation.

This paper introduces spatial-ATAC-seq, a method for spatially resolved chromatin accessibility profiling at the cellular level, and demonstrates its application in mouse embryos and human tonsil tissue.

This paper presents spatial epigenome profiling using CUT&Tag and microfluidic barcoding to map histone modifications at tissue scale and single-cell level in mouse embryos and olfactory bulbs.

DBiT-seq enables high-spatial-resolution multi-omics mapping of mouse embryos by deterministic barcoding, revealing tissue types and fine features like retinal pigmented epithelium and microvasculature.

The paper was withdrawn due to a duplicate posting and directs readers to the current version on bioRxiv.