David Nei
Papers
1
Total Citations
39
H-Index
1
About
David Nei is a leading figure in the field of mass spectrometry-based proteomics, with a particular focus on spatially resolved protein analysis. His research bridges the gap between imaging mass spectrometry (IMS) and traditional proteomics, enabling the direct identification of proteins from discrete tissue regions. Nei's most notable contribution is the development of liquid extraction surface analysis (LESA) for spatially targeted protein identification. His seminal 2017 paper, which has garnered 39 citations, details a groundbreaking workflow that couples robotic micro-extractions with online liquid chromatography (LC) to extract and identify proteins from specific areas of a tissue sample. This technique allows researchers to move beyond simple molecular mapping and into functional proteomics, linking protein identity to precise anatomical locations. By integrating LESA with IMS, Nei has provided a powerful tool for biomarker discovery and disease pathology studies, enabling the characterization of proteins in their native spatial context. His work is instrumental for researchers seeking to understand the molecular heterogeneity of tissues, particularly in cancer and neurological disorders.
Research Focus
Key Achievements
Top Papers
- 1