Shen Zhang

This paper develops a non-invasive method for embryo quality assessment using metabolomics of spent culture media and machine learning, identifying metabolic signatures linked to ploidy and morphology.

This paper develops a rapid phosphopeptide enrichment method (Ti-PAN) for nanoscale samples, achieving high sensitivity and recovery, and identifies key kinases in oocyte maturation.

This study uses single-cell proteomics to identify protein changes in human oocytes during in vitro aging, revealing key biological processes and potential biomarkers.

This study identifies CaMBPs regulated by IQCN-CaM interaction through phosphoproteomic analysis of Iqcn-deficient mice testes, showing their role in spermiogenesis and sperm motility.

The paper shows Mi-2 activity represses ectopic gene expression in neurons independently of NuRD, highlighting its role in establishing stable neuronal transcriptomes during early differentiation.

The paper compares noDE and DDA/DIA methods for protein-protein interaction detection, finding noDE provides better sensitivity and identifies more high confident interactors.