Automated single-cell proteomics providing sufficient proteome depth to study complex biology beyond cell type classifications
C. Ctortecka, N. M. Clark, B. Boyle, A. Seth, D. R. Mani, N. Udeshi, S. A. Carr
This study presents an automated single-cell proteomics workflow that identifies over 4,000 proteins per cell and detects key regulatory proteins in LPS-perturbed THP-1 cells.
bioRxiv · Jan 20, 2024 · PreprintBiochemistry