All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis

被引:23
|
作者
Peng, Jiaxi [1 ,2 ,3 ]
Chan, Calvin [1 ]
Zhang, Shuailong [1 ,6 ,7 ]
Sklavounos, Alexandros A. [1 ,2 ]
Olson, Maxwell E. [1 ]
Scott, Erica Y. [1 ,2 ,3 ]
Hu, Yechen [1 ,2 ,3 ]
Rajesh, Vigneshwar [1 ]
Li, Bingyu B. [2 ,3 ]
Chamberlain, M. Dean [1 ,2 ,3 ,8 ]
Zhang, Shen [4 ,9 ]
Peng, Hui [1 ,5 ]
Wheeler, Aaron R. [1 ,2 ,3 ]
机构
[1] Univ Toronto, Dept Chem, 80 St George St, Toronto, ON M5S 3H6, Canada
[2] Univ Toronto, Donnelly Ctr Cellular & Biomol Res, 160 Coll St, Toronto, ON M5S 3E1, Canada
[3] Univ Toronto, Inst Biomed Engn, 164 Coll St, Toronto, ON M5S 3G9, Canada
[4] Mt Sinai Hosp, Lunenfeld Tanenbaum Res Inst, 600 Univ Ave, Toronto, ON M5G 1X5, Canada
[5] Univ Toronto, Sch Environm, 33 Willcocks St, Toronto, ON M5S 3E8, Canada
[6] Beijing Inst Technol, Sch Mechatron Engn, Beijing 100081, Peoples R China
[7] Beijing Inst Technol, Beijing Adv Innovat Ctr Intelligent Robots & Syst, Beijing 100081, Peoples R China
[8] Univ Saskatchewan, Saskatchewan Canc Agcy, 107 Wiggins Rd, Saskatoon, SK S7N 5E5, Canada
[9] Reprod & Genet Hosp CITIC XIANGY, Clin Res Ctr Reprod & Genet Hunan Prov, Changsha 410000, Hunan, Peoples R China
基金
加拿大自然科学与工程研究理事会;
关键词
MASS-SPECTROMETRY; GENE-EXPRESSION; BREAST-CANCER; COMPUTATIONAL PLATFORM; PLURONIC ADDITIVES; THROUGHPUT; THERAPY; NUMBER; CHIP;
D O I
10.1039/d3sc00560g
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Highly sensitive and reproducible analysis of samples containing low amounts of protein is restricted by sample loss and the introduction of contaminants during processing. Here, we report an All-in-One digital microfluidic (DMF) pipeline for proteomic sample reduction, alkylation, digestion, isotopic labeling and analysis. The system features end-to-end automation, with integrated thermal control for digestion, optimized droplet additives for sample manipulation and analysis, and an automated interface to liquid chromatography with tandem mass spectrometry (HPLC-MS/MS). Dimethyl labeling was integrated into the pipeline to allow for relative quantification of the trace samples at the nanogram level, and the new pipeline was applied to evaluating cancer cell lines and cancer tissue samples. Several known proteins (including HSP90AB1, HSPB1, LDHA, ENO1, PGK1, KRT18, and AKR1C2) and pathways were observed between model breast cancer cell lines related to hormone response, cell metabolism, and cell morphology. Furthermore, differentially quantified proteins (such as PGS2, UGDH, ASPN, LUM, COEA1, and PRELP) were found in comparisons of healthy and cancer breast tissues, suggesting potential utility of the All-in-One pipeline for the emerging application of proteomic cancer sub-typing. In sum, the All-in-One pipeline represents a powerful new tool for automated proteome processing and analysis, with the potential to be useful for evaluating mass-limited samples for a wide range of applications.
引用
收藏
页码:2887 / 2900
页数:14
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