Zi Yin

The paper introduces gPRINT, a machine learning tool that identifies disease-specific cell subtypes across datasets by analyzing gene print patterns, and applies it to tendon disease fibroblasts.

This study develops a bio-inspired hydrogel that promotes tendon-bone interface regeneration by activating Gli1+Dkk3+ progenitor cells, achieving 68% mechanical recovery.

This study uses single-cell RNA sequencing to identify novel mitochondria-related musculoskeletal cell populations during axolotl limb regeneration.