Tsai, Chia-FengChia-FengTsaiZhang, PengfeiPengfeiZhangScholten, DavidDavidScholtenMartin, KendallKendallMartinWang, Yi-TingYi-TingWangZhao, RuiRuiZhaoChrisler, William BWilliam BChrislerPatel, Dhwani BDhwani BPatelDou, MaoweiMaoweiDouJia, YuzhiYuzhiJiaReduzzi, CarolinaCarolinaReduzziLiu, XiaXiaLiuMoore, Ronald JRonald JMooreBurnum-Johnson, Kristin EKristin EBurnum-JohnsonMIAO-HSIA LINHsu, Chuan-ChihChuan-ChihHsuJacobs, Jon MJon MJacobsKagan, JacobJacobKaganSrivastava, SudhirSudhirSrivastavaRodland, Karin DKarin DRodlandSteven Wiley, HHSteven WileyQian, Wei-JunWei-JunQianSmith, Richard DRichard DSmithZhu, YingYingZhuCristofanilli, MassimoMassimoCristofanilliLiu, TaoTaoLiuLiu, HuipingHuipingLiuShi, TujinTujinShi2024-01-102024-01-102021-03-012399-3642https://scholars.lib.ntu.edu.tw/handle/123456789/638331Large 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.enjournal article10.1038/s42003-021-01797-9336494932-s2.0-85102225901https://api.elsevier.com/content/abstract/scopus_id/85102225901