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In This Article

  • Summary
  • Abstract
  • Introduction
  • Protocol
  • Results
  • Discussion
  • Disclosures
  • Acknowledgements
  • Materials
  • References
  • Reprints and Permissions

Summary

Detailed protocol and three Python scripts are provided for operating an open-source robotic liquid handling system to perform semi-automated protein sample preparation for mass spectrometry experiments, covering detergent removal, protein digestion, and peptide desalting steps.

Abstract

Mass spectrometry-based shotgun proteomics experiments require multiple sample preparation steps, including enzymatic protein digestion and clean-up, which can take up significant person-hours of bench labor and present a source of batch-to-batch variability. Lab automation with pipetting robots can reduce manual work, maximize throughput, and increase research reproducibility. Still, the steep starting prices of standard automation stations make them unaffordable for many academic laboratories. This article describes a proteomics sample preparation workflow using an affordable, open-source automation system (The Opentrons OT-2), including instructions for setting up semi-automated protein reduction, alkylation, digestion, and clean-up steps; as well as accompanying open-source Python scripts to program the OT-2 system through its application programming interface.

Introduction

Mass spectrometry-based shotgun proteomics is a powerful tool to measure the abundance of many proteins in biological samples simultaneously. Proteomics experiments with bioinformatics analysis are routinely employed to identify biomarkers and discover associated biological complexes and pathways underpinning pathological mechanisms. With its high analyte specificity and potential quantitative accuracy, shotgun proteomics also has excellent potential to be adopted by research facilities and diagnostic laboratories for clinical sample analysis without the need to rely on antibodies1,2.

Protocol

The developed Python scripts have been deposited on GitHub at: https://github.com/MaggieLam-Lab/StandardDigestion-Opentrons. A copy of the scripts is given in Supplementary File 1. Please refer to the GitHub repository for the latest versions.

1. Experimental preparations

  1. Check the required hardware before starting the protocol.
    ​NOTE: The following hardware components are required: OT-2 pipettes, pipette tips, 4-in-1 tube rack set, aluminum block set, magnetic module, temperature module, 96-well 2 mL deep well plates (see Table of Materials).

Results

Three Python scripts are provided here that are compatible with the OT-2 robot, and that perform sample preparation for mass spectrometry proteomics with a single protein standard bovine serum albumin (technical replicates n = 5 digestions) and a detergent-containing human heart lysate sample (n = 5 digestions). Each digest product is partitioned into two peptide clean-up reactions. The number of identified peptide-spectrum matches (PSMs), peptides, and proteins in each run of the BSA and heart samples are shown in

Discussion

Critical steps within the protocol
For the best performance, Opentrons-verified labware, modules, and consumables compatible with OT-2 should be used. Custom labware can be created following Opentrons' instruction at Reference14. Make sure to calibrate the OT-2 deck, pipettes, and labware when used for the first time. It is also critical to follow guidelines from SP3 beads' manufacturer to prepare beads for peptide and protein clean-up. Notably, during the bead .......

Disclosures

The authors have no conflicts to declare.

Acknowledgements

This work was supported in part by NIH awards F32-HL149191 to YH; R00-HL144829 to EL; R21-HL150456, R00-HL127302, R01-HL141278 to MPL. Figure 1, Figure 2, Figure 3 are created with the aid of a web-based science illustration tool, BioRender.com.

....

Materials

NameCompanyCatalog NumberComments
300 µL pipette tipsOpentrons
4-in-1 tube rack setOpentronsEach set includes 2 base stands and 4 tube holder tops 1.5mL, 2mL, 15mL + 50mL, 15mL, and 50mL. We use 2mL and 15 mL + 50 mL tops in this study.
Acclaim PepMap 100 C18 HPLC ColumnThermo Scientific#1645683 μm particle; 100 Å pore; 75 μm x 150 mm
Acetonitrile LC-MS gradeVWR#JT9829
Aluminum block setOpentronsThis block set includes 3 tops that are compatible with 96-well, 2.0 mL tubes and a PCR strip to use with the OT-2 temperature module. We use the 2.0mL tube holder in this manuscript.
Ammonium BicarbonateSigma-Aldrich# A6141
Bovine Serum Albumin Standard, 2 mg/mLThermo Scientific#23210
Dimethylsulfoxide (DMSO) LC-MS gradeThermo Scientific#85190
DithiothreitolSigma-Aldrich#D5545
EASY-Spray HPLC ColumnsThermo Scientific#ES800A
EasynLC 1200 Nano LCThermo Scientific#LC140
Ethanol Proof 195-200Fisher#04-355-720
Formic Acid LC-MS gradeThermo Scientific#85178
Human heart lysateNovus BiologicalsNB820-59217
IodoacetamideSigma-Aldrich#I1149
Magnetic tube rackThermo Scientific#MR02
MAXQuant v.1.6.10.43Tyanova et al., 2016 (https://www.maxquant.org/)
mySPIN 6 Mini CentrifugeThermo Scientific#75004061benchtop mini centrifuge for quick spin
NEST 2 mL 96-Well Deep Well Plate, V BottomOpentrons
OT-2 magnetic moduleOpentronsGEN1
OT-2 P300 single channel pipetteOpentronsGEN1
OT-2 P50 single channel pipetteOpentronsGEN1
OT-2 robot pipetting robotOpentronsOT-2
OT-2 temperature moduleOpentronsGEN1
Pierce Quantitative Colorimetric Peptide AssayThermo Scientific#23275
Protein LoBind tubes 2.0 mLEppendorf#022431102
Protein Sequence DatabaseUniProt/SwissProthttps://www.uniprot.org/uniprot/?query=proteome:UP000005640%
20reviewed:yes
Sera-Mag SpeedBead Carboxylate-Modified Magnetic Particles, HydrophobicCytiva#65152105050250
Sera-Mag SpeedBead Carboxylate-Modified Magnetic Particles, HydrophylicCytiva#45152105050250
SpeedVacThermo ScientificVacuum evaporator
Thermo Q Exactive HF Mass SpectrometerThermo Scientific#IQLAAEGAAPFALGMBFZ
Trypsin MS GradeThermo Scientific#90057
Water LC-MS gradeVWR#BDH83645.400

References

  1. Geyer, P. E., et al. Revisiting biomarker discovery by plasma proteomics. Molecular Systems Biology. 13 (9), 942 (2017).
  2. Coscia, F., et al. A streamlined mass spectrometry-based proteomics workflow for larg....

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Shotgun ProteomicsAutomated Sample ProcessingOpen source Lab RobotLiquid Handling SystemMass SpectrometryProtein BiochemistryProteomic StudiesAmmonium BicarbonateDTTTemperature ControlAutomationOpen source Python Scripts

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