Streamlined single-cell proteomics by an integrated microfluidic chip and data-independent acquisition mass spectrometry

被引:144
作者
Gebreyesus, Sofani Tafesse [1 ,2 ,3 ]
Siyal, Asad Ali [1 ,4 ,5 ]
Kitata, Reta Birhanu [1 ]
Chen, Eric Sheng-Wen [1 ]
Enkhbayar, Bayarmaa [4 ,6 ]
Angata, Takashi [6 ]
Lin, Kuo-I [7 ]
Chen, Yu-Ju [1 ,3 ,4 ,8 ,9 ]
Tu, Hsiung-Lin [1 ,2 ,4 ,8 ,9 ]
机构
[1] Acad Sinica, Inst Chem, Taipei 11529, Taiwan
[2] Acad Sinica, Nano Sci & Technol Program, Taiwan Int Grad Program, Taipei 11529, Taiwan
[3] Natl Taiwan Univ, Dept Chem, Taipei 10617, Taiwan
[4] Acad Sinica, Taiwan Int Grad Program, Chem Biol & Mol Biophys Program, Taipei 11529, Taiwan
[5] Natl Tsing Hua Univ, Dept Chem, Hsinchu 30013, Taiwan
[6] Acad Sinica, Inst Biol Chem, Taipei 11529, Taiwan
[7] Acad Sinica, Genom Res Ctr, Taipei 11529, Taiwan
[8] Acad Sinica, Genome & Syst Biol Degree Program, Taipei 10617, Taiwan
[9] Natl Taiwan Univ, Taipei 10617, Taiwan
关键词
LABEL-FREE; FUTURE;
D O I
10.1038/s41467-021-27778-4
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Single-cell proteomics can reveal cellular phenotypic heterogeneity and cell-specific functional networks underlying biological processes. Here, we present a streamlined workflow combining microfluidic chips for all-in-one proteomic sample preparation and data-independent acquisition (DIA) mass spectrometry (MS) for proteomic analysis down to the single-cell level. The proteomics chips enable multiplexed and automated cell isolation/counting/imaging and sample processing in a single device. Combining chip-based sample handling with DIA-MS using project-specific mass spectral libraries, we profile on average similar to 1,500 protein groups across 20 single mammalian cells. Applying the chip-DIA workflow to profile the proteomes of adherent and non-adherent malignant cells, we cover a dynamic range of 5 orders of magnitude with good reproducibility and <16% missing values between runs. Taken together, the chip-DIA workflow offers all-in-one cell characterization, analytical sensitivity and robustness, and the option to add additional functionalities in the future, thus providing a basis for advanced single-cell proteomics applications.
引用
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页数:13
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