Guibo Li

The paper introduces a protocol to integrate spatial transcriptomics and multiplex immunofluorescence in FFPE tissues, enabling multi-omic analysis at single-cell resolution in colorectal cancer samples.

This study shows hypobaric hypoxia suppresses tumor progression by reprogramming the citrate cycle and inhibiting the HIF-1 pathway, enhancing antitumor immune response and improving therapy outcomes.

StereoMM integrates spatial transcriptomic data and histological images to improve spatial domain recognition and tumor heterogeneity analysis in cancer tissues.

SCIITensor constructs actionable TME modules by analyzing spatially resolved intercellular communications in ST data, identifying immunosuppressive patterns and sample-common immune-infiltration modules.

Chord improves doublet detection in scRNA-seq by combining multiple methods, showing higher accuracy and stability across different datasets.

The paper develops computational methods combining sequencing and miFISH data to improve accurate inference of clonal copy number evolution in tumors.

The paper integrates single-cell ATAC and transcriptomic data with spatial transcriptomics to map regulatory features and disease vulnerabilities in macaque cortex.

The paper develops methods to deconvolve tumor copy number data by integrating bulk and single-cell sequencing data, improving accuracy over bulk data alone.

The paper introduces scCAT-seq, a method to simultaneously assay chromatin accessibility and transcriptome in single cells, and demonstrates its application in human pre-implantation embryos to reveal regulatory heterogeneity.

This study identifies 15 hub genes in breast cancer through integrated bioinformatics analysis and finds their higher expression correlates with shorter overall survival.

This study uses single-cell RNA-seq to analyze the tumor microenvironment of breast cancer, revealing cell type diversity and immune evasion mechanisms.