Wenping Ma

The paper introduces a method to map transcription factor binding sites genome-wide with single-base resolution and applies it to study cell-type-specific TF cooperativity in human tissues.

The paper uses single-cell proteomics to detect correlated protein modules (CPMs) that reveal functional coordination of interacting proteins in mammalian cells.

The paper generates transcriptome and 3D genome atlases of developing mouse brain cells, revealing structure-type-based cell identity and experience-independent developmental changes.

The paper introduces GeACT, a genomic database for human mid-gestation fetus cells, linking gene expression to chromatin states and identifying key transcription factors.

The paper identifies correlated gene modules using single-cell RNA-seq, revealing biological functions and regulatory relationships through covariance analysis.