Samuel Payne

Papers

Total Citations

125

H-Index

About

Samuel Payne is a leading figure in the development of cutting-edge proteomics technologies, with a particular focus on enabling the analysis of vanishingly small biological samples. His major contributions center on creating fully automated, high-throughput workflows that overcome the traditional challenges of low-input proteome profiling. His landmark 2020 paper, "Fully Automated Sample Processing and Analysis Workflow for Low-Input Proteome Profiling," which has garnered over 125 citations, exemplifies this work by introducing a streamlined system that integrates custom fluidics for nanoliter-scale sample handling with automated analysis. This innovation has been pivotal in advancing the field toward direct protein expression profiling from single mammalian cells and other trace samples, a feat previously hampered by sample loss and manual processing bottlenecks. Payne’s work is notable for its practical impact, providing the robust, reproducible tools necessary for researchers to explore the proteome at unprecedented resolution. Through his automation strategies, he is not only accelerating discovery in basic biology but also paving the way for clinical applications where sample quantity is severely limited, establishing him as a key architect of next-generation proteomic analysis.