title: Reducing the cost of semi-automated in-gel tryptic digestion and GeLC sample preparation for high-throughput proteomics.
abstract: Peptide generation by trypsin digestion is typically the first step in mass spectrometry-based proteomics experiments, including 'bottom-up' discovery and targeted proteomics using multiple reaction monitoring. Manual tryptic digest and the subsequent clean-up steps can add variability even before the sample reaches the analytical platform. While specialized filter plates and tips have been designed for automated sample processing, the specialty reagents required may not be accessible or feasible due to their high cost. Here, we report a lower-cost semi-automated protocol for in-gel digestion and GeLC using standard 96-well microplates. Further cost savings were realized by re-using reagent tips with optimized sample ordering. To evaluate the methodology, we compared a simple mixture of 7 proteins and a complex cell-lysate sample. The results across three replicates showed that our semi-automated protocol had performance equal to or better than a manual in-gel digestion with respect to replicate variability and level of contamination. In this paper, we also provide the Agilent Bravo method file, which can be adapted to other liquid handlers. The simplicity, reproducibility, and cost-effectiveness of our semi-automated protocol make it ideal for routine in-gel and GeLC sample preparations, as well as high throughput processing of large clinical sample cohorts.
authors.affiliation: The University of Queensland, Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia.
authors.forename: Jayde E
authors.initials: JE
authors.lastname: Ruelcke
authors.affiliation: The University of Queensland, Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia.
authors.forename: Dorothy
authors.initials: D
authors.lastname: Loo
authors.affiliation: The University of Queensland, Diamantina Institute, The University of Queensland, Translational Research Institute, 37 Kent St, Woolloongabba, QLD 4102, Australia; Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, St Lucia, QLD 4072, Australia.
authors.forename: Michelle M
authors.initials: MM
authors.lastname: Hill
mesh_terms: D053000:Analytic Sample Preparation Methods / Q000191:economics*; D002457:Cell Extracts / Q000737:chemistry; D002850:Chromatography, Gel; D017046:Cost Savings; D003362:Cost-Benefit Analysis; D005782:Gels; D057166:High-Throughput Screening Assays / Q000191:economics*; D013058:Mass Spectrometry / Q000191:economics; D010455:Peptides / Q000737:chemistry*; D011506:Proteins / Q000737:chemistry; D059748:Proteolysis; D040901:Proteomics / Q000191:economics* / Q000379:methods*; D015203:Reproducibility of Results; D013997:Time Factors; D014357:Trypsin / Q000737:chemistry*
chemical_list: D002457:Cell Extracts; D005782:Gels; D010455:Peptides; D011506:Proteins; D014357:Trypsin
keywords: Automation; Cost reduction; GeLC–MS; In-gel digestion; Proteomics; Sample preparation