Author
University of Maryland, College ParkORCID 0000-0003-0204-0762Unclaimed ORCID profile · follow to get notified of new preprints
5 papers
Recent·Most cited
Bowen Shen, Leena R. Pade, Fei Zhou, Péter Nemes
The paper develops a subcellular proteomics method to quantify proteins in asymmetrically dividing frog embryonic stem cells and identifies molecular changes in their descendants.
Bowen Shen, Fei Zhou, Isabelle Souza Luz…·Péter Nemes
The paper introduces a rapid CE-MS platform with AI-based processing to profile single human neutrophils, revealing proteomic heterogeneity across immune functions.
Bowen Shen, Fei Zhou, Péter Nemes
The paper introduces Live Eco-AI, a cost-effective single-cell mass spectrometry proteomics method using CE and AI, achieving performance comparable to advanced instruments.
Bowen Shen, Fei Zhou, Péter Nemes
The paper introduces Eco-ddaPASEF, a method that enhances single-cell proteomics by improving ion mobility resolution, enabling deeper proteome detection in embryonic cells.
Bowen Shen, Leena R. Pade, Péter Nemes
The paper introduces a fast proteomic method using CE-DIA MS to profile the subcellular proteome of single cells with high sensitivity and coverage.