Comparison of SPEED, S-Trap, and In-Solution-Based Sample Preparation Methods for Mass Spectrometry in Kidney Tissue and Plasma.
Evelyn M TempletonAnna P PilbrowTorsten KleffmannJohn W PickeringMiriam T RademakerNicola J A ScottLeigh J EllmersChristopher J CharlesZoltan Huba EndreA Mark RichardsVicky A CameronMoritz LasséPublished in: International journal of molecular sciences (2023)
Mass spectrometry is a powerful technique for investigating renal pathologies and identifying biomarkers, and efficient protein extraction from kidney tissue is essential for bottom-up proteomic analyses. Detergent-based strategies aid cell lysis and protein solubilization but are poorly compatible with downstream protein digestion and liquid chromatography-coupled mass spectrometry, requiring additional purification and buffer-exchange steps. This study compares two well-established detergent-based methods for protein extraction (in-solution sodium deoxycholate (SDC); suspension trapping (S-Trap)) with the recently developed sample preparation by easy extraction and digestion (SPEED) method, which uses strong acid for denaturation. We compared the quantitative performance of each method using label-free mass spectrometry in both sheep kidney cortical tissue and plasma. In kidney tissue, SPEED quantified the most unique proteins (SPEED 1250; S-Trap 1202; SDC 1197). In plasma, S-Trap produced the most unique protein quantifications (S-Trap 150; SDC 148; SPEED 137). Protein quantifications were reproducible across biological replicates in both tissue (R 2 = 0.85-0.90) and plasma (SPEED R 2 = 0.84; SDC R 2 = 0.76, S-Trap R 2 = 0.65). Our data suggest SPEED as the optimal method for proteomic preparation in kidney tissue and S-Trap or SPEED as the optimal method for plasma, depending on whether a higher number of protein quantifications or greater reproducibility is desired.
Keyphrases
- mass spectrometry
- liquid chromatography
- protein protein
- label free
- amino acid
- binding protein
- high resolution
- capillary electrophoresis
- high resolution mass spectrometry
- tandem mass spectrometry
- gas chromatography
- stem cells
- small molecule
- high performance liquid chromatography
- big data
- molecularly imprinted
- deep learning