Lizhuo Ai

This paper introduces an enhanced single-cell proteomics workflow using timsUltra AIP, showing improved proteome coverage and drug response subtyping in human iPSC-CMs.

This study identifies two distinct cardiac proteomic signatures in HFpEF linked to sex ratios, revealing molecular differences in structural machinery and cellular communication.

The paper introduces a web platform for no-code single-cell omics analysis pipelines, enabling sharing of data, pipelines, and results to improve accessibility and reproducibility.

This study adapts high-field asymmetric ion mobility spectrometry (FAIMS) coupled with mass spectrometry to improve cardiac muscle proteome coverage with reduced sample handling and processing time compared to traditional methods.