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Pick-up single-cell proteomic analysis for quantifying up to 3000 proteins in a Mammalian cell

  • Yu Wang,
  • Zhi-Ying Guan,
  • Shao-Wen Shi,
  • Yi-Rong Jiang,
  • Jie Zhang,
  • Yi Yang,
  • Qiong Wu,
  • Jie Wu,
  • Jian-Bo Chen,
  • Wei-Xin Ying,
  • Qin-Qin Xu,
  • Qian-Xi Fan,
  • Hui-Feng Wang,
  • Li Zhou,
  • Ling Wang,
  • Jin Fang,
  • Jian-Zhang Pan,
  • Qun Fang

摘要

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.