Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell.
Yu WangZhi-Ying GuanShao-Wen ShiYi-Rong JiangJie ZhangYi YangQiong WuJie WuJian-Bo ChenWei-Xin YingQin-Qin XuQian-Xi FanHui-Feng WangLi ZhouLing WangJin FangJian-Zhang PanQun FangPublished in: Nature communications (2024)
The shotgun proteomic analysis is currently the most promising single-cell protein sequencing technology, however its identification level of ~1000 proteins per cell is still insufficient for practical applications. Here, we develop a pick-up single-cell proteomic analysis (PiSPA) workflow to achieve a deep identification capable of quantifying up to 3000 protein groups in a mammalian cell using the label-free quantitative method. The PiSPA workflow is specially established for single-cell samples mainly based on a nanoliter-scale microfluidic liquid handling robot, capable of achieving single-cell capture, pretreatment and injection under the pick-up operation strategy. Using this customized workflow with remarkable improvement in protein identification, 2449-3500, 2278-3257 and 1621-2904 protein groups are quantified in single A549 cells (n = 37), HeLa cells (n = 44) and U2OS cells (n = 27) under the DIA (MBR) mode, respectively. Benefiting from the flexible cell picking-up ability, we study HeLa cell migration at the single cell proteome level, demonstrating the potential in practical biological research from single-cell insight.