Mei Zhong

This study introduces spatial-GPT, a platform for spatial glycan, protein, and transcriptome profiling in human liver tissues, revealing glyco-codes that define disease states and progression.

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 ECM-dominant cardiovascular diseases as driven by coordinated CDKN1A and CDKN2A senescence programs in fibroblasts and shows senolytic treatments improve cardiac function.

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

Perturb-DBiT co-sequences spatial transcriptomes and gRNAs on one tissue section, supporting genome-wide in vivo CRISPR screens in FFPE and fresh-frozen tumors across three cancer models.

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.

msCNVS enables efficient CNV profiling of rare clinical samples through barcoded single-cell library construction without preamplification.