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Surfactant-assisted one-pot sample preparation for label-free single-cell proteomics

Large numbers of cells are generally required for quantitative global proteome profiling due to surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell p...

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Detalles Bibliográficos
Autores principales: Tsai, Chia-Feng, Zhang, Pengfei, Scholten, David, Martin, Kendall, Wang, Yi-Ting, Zhao, Rui, Chrisler, William B., Patel, Dhwani B., Dou, Maowei, Jia, Yuzhi, Reduzzi, Carolina, Liu, Xia, Moore, Ronald J., Burnum-Johnson, Kristin E., Lin, Miao-Hsia, Hsu, Chuan-Chih, Jacobs, Jon M., Kagan, Jacob, Srivastava, Sudhir, Rodland, Karin D., Steven Wiley, H., Qian, Wei-Jun, Smith, Richard D., Zhu, Ying, Cristofanilli, Massimo, Liu, Tao, Liu, Huiping, Shi, Tujin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921383/
https://www.ncbi.nlm.nih.gov/pubmed/33649493
http://dx.doi.org/10.1038/s42003-021-01797-9
Descripción
Sumario:Large numbers of cells are generally required for quantitative global proteome profiling due to surface adsorption losses associated with sample processing. Such bulk measurement obscures important cell-to-cell variability (cell heterogeneity) and makes proteomic profiling impossible for rare cell populations (e.g., circulating tumor cells (CTCs)). Here we report a surfactant-assisted one-pot sample preparation coupled with mass spectrometry (MS) method termed SOP-MS for label-free global single-cell proteomics. SOP-MS capitalizes on the combination of a MS-compatible nonionic surfactant, n-Dodecyl-β-D-maltoside, and hydrophobic surface-based low-bind tubes or multi-well plates for ‘all-in-one’ one-pot sample preparation. This ‘all-in-one’ method including elimination of all sample transfer steps maximally reduces surface adsorption losses for effective processing of single cells, thus improving detection sensitivity for single-cell proteomics. This method allows convenient label-free quantification of hundreds of proteins from single human cells and ~1200 proteins from small tissue sections (close to ~20 cells). When applied to a patient CTC-derived xenograft (PCDX) model at the single-cell resolution, SOP-MS can reveal distinct protein signatures between primary tumor cells and early metastatic lung cells, which are related to the selection pressure of anti-tumor immunity during breast cancer metastasis. The approach paves the way for routine, precise, quantitative single-cell proteomics.