Pengfei Cai

This study creates a spatiotemporal atlas to understand mesenchymal-epithelial stem cell dynamics in human hair follicle aging and androgenetic alopecia, identifying PTN as a key regenerative factor.

The paper introduces CIMA, a multi-omics atlas of human immune cells, identifying regulatory mechanisms and genetic associations across sex, age, and genetic factors.

The paper uses single-cell multiomics to study gene regulatory programs in mouse embryonic skin, identifying cis-regulatory elements and transcription factors involved in development.

WEDGE imputes gene expression values in single-cell RNA-seq datasets using biased matrix decomposition, improving clustering and correlation recovery in sparse data.

This study uses single-cell RNA sequencing to analyze immune responses in COVID-19 patients, identifying key immune cell changes and molecular pathways linked to disease severity.

The paper uses single-cell analysis to show that Tocilizumab reduces monocyte-driven inflammation in severe COVID-19 but does not fully suppress immune responses.

APEC improves single-cell chromatin accessibility analysis by clustering cells based on accessible regions and integrates with other tools to enhance clustering accuracy and predict gene expression and regulatory elements.