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All-in-One digital microfluidics pipeline for proteomic sample preparation and analysis.
Peng, Jiaxi; Chan, Calvin; Zhang, Shuailong; Sklavounos, Alexandros A; Olson, Maxwell E; Scott, Erica Y; Hu, Yechen; Rajesh, Vigneshwar; Li, Bingyu B; Chamberlain, M Dean; Zhang, Shen; Peng, Hui; Wheeler, Aaron R.
Afiliación
  • Peng J; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Chan C; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada.
  • Zhang S; Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada.
  • Sklavounos AA; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Olson ME; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Scott EY; School of Mechatronical Engineering, Beijing Institute of Technology Beijing 100081 China.
  • Hu Y; Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology Beijing 100081 China.
  • Rajesh V; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Li BB; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada.
  • Chamberlain MD; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Zhang S; Department of Chemistry, University of Toronto 80 St. George Street Toronto ON M5S 3H6 Canada aaron.wheeler@utoronto.ca +1-416-946-3865 +1-416-946-3866.
  • Peng H; Donnelly Centre for Cellular and Biomolecular Research, University of Toronto 160 College Street Toronto ON M5S 3E1 Canada.
  • Wheeler AR; Institute of Biomedical Engineering, University of Toronto 164 College Street Toronto ON M5S 3G9 Canada.
Chem Sci ; 14(11): 2887-2900, 2023 Mar 15.
Article en En | MEDLINE | ID: mdl-36937585
ABSTRACT
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.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Chem Sci Año: 2023 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: Chem Sci Año: 2023 Tipo del documento: Article