Sample Preparation, Consumables, LC/MS, LC/MS/MS, LC/HRMS, LC/Orbitrap
IndustriesProteomics
ManufacturerThermo Fisher Scientific
Significance of the topic
The quality and throughput of bottom-up proteomics are strongly influenced by sample preparation. Reliable, low-loss workflows that handle limited input amounts, reduce cost and integrate readily with automation are in high demand across academic and industrial laboratories. The S-Tip addresses these needs by providing a pipette-tip based sample processing format that maintains high protein/peptide recovery while enabling simpler manual handling and straightforward transition to automated platforms.Objectives and overview of the study
This study introduces and evaluates the S-Tip, a novel pipette-tip format for proteomic sample cleanup and in‑tip digestion. Goals were to optimize polymer formulations for high protein binding and recovery with minimal backpressure, compare S-Tip performance to an established S-Trap workflow using tissue and bacterial lysates, and demonstrate compatibility with standard LC-MS pipelines and data analysis tools.Methods and protocol summary
Samples and general workflow:- Sample types: FITC-labeled rabbit brain lysate (5–50 µg), rabbit brain tissue lysate (30 µg), and E. coli (30 µg).
- Solubilization: 5% SDS in 50 mM TEAB buffer.
- Reduction and alkylation: TCEP reduction and chloroacetamide alkylation.
- In‑tip digestion: Trypsin at a protease:protein ratio of 1:10.
- Comparative reference: S-Trap micro protocol run in parallel with identical protein inputs.
- Protein binding/recovery quantified using FITC-labeled protein measured on a Tecan Spark fluorescence plate reader; flow-through, wash and elution fractions tracked.
- Peptide LC-MS: 120-minute gradient on a 25 cm, 75 µm ID MyMap column packed with Reprosil Saphir 100Å 1.5 µm C18; analysis on a Q Exactive HF mass spectrometer with NanoFlex source.
- Data processing: DIA-NN for deep proteome coverage and identification statistics.
Used instrumentation
- Q Exactive HF mass spectrometer (Thermo Fisher Scientific) with NanoFlex source.
- Nanoflow LC column: 25 cm × 75 µm ID packed with Reprosil Saphir 100Å 1.5 µm C18 (Dr. Maisch) on a MyMap column format.
- Fluorescence reader: Tecan Spark plate reader for FITC-based recovery assays.
Main results and discussion
- Material optimization: A range of polymer formulations was screened for pore architecture, surface functionalization, and resulting backpressure. Selected S-Tip formulations combined high protein recovery with low pipetting resistance, enabling normal hand pipettors to aspirate and dispense without difficulty.
- Recovery performance: The optimized S-Tip demonstrated >90% recovery for total protein inputs between 10 µg and 40 µg (FITC assay), with elution fractions accounting for the majority of applied protein signal.
- Proteome identifications: S-Tip and S-Trap produced comparable numbers of unique peptide sequences and protein groups for both rabbit brain and E. coli lysates. Replicate injections used 1 µg of peptides and showed similar identification counts and high overlap.
- Overlap and peptide properties: More than 95% overlap in identified protein groups between S-Tip and S-Trap. Peptide-level metrics—including missed cleavage frequency, hydrophobicity distribution (GRAVY scores), peptide length and monoisotopic mass distributions, theoretical isoelectric point distributions, and charge-state assignments—were statistically indistinguishable between workflows.
- Operational advantages: S-Tip showed minimal backpressure and could be used by pipetting up and down (not as a conventional SPE flow-through device), simplifying adoption and enabling potential automation-friendly formats.
Benefits and practical applications
- Cost-effectiveness: The S-Tip provides a low-cost alternative to plate- or cartridge-based cleanup solutions while retaining high analytical performance.
- Low-input suitability: Demonstrated robust performance with as little as 10 µg of protein input, making the approach suitable for limited clinical or micro-dissected samples.
- Ease of use and automation readiness: Compatibility with standard pipettors lowers operator skill requirements and supports straightforward scaling to robotic liquid handlers for higher throughput.
- Comparable data quality: Equivalent proteome coverage and peptide property distributions to an established S-Trap protocol support adoption in discovery and routine proteomics pipelines without compromising data integrity.
Future trends and potential applications
- High-throughput automation: The tip format is naturally suited to integration into automated pipetting platforms and acoustic or positive-displacement systems for large-scale studies and clinical workflows.
- Further material tuning: Additional polymer chemistries and pore architectures could expand performance for very low-input samples (<10 µg), hydrophobic or membrane-rich proteomes, or selective enrichment of modified peptides.
- Method extensions: Adapting the S-Tip for on-tip fractionation, enrichment (e.g., phosphopeptides), or single-cell proteomics workflows could broaden its utility.
- Expanded validation: Wider testing across diverse biological matrices, labs and instruments will be needed to confirm robustness, inter-lab reproducibility, and long-term stability of the consumable.
Conclusion
The S-Tip is a cost-efficient, user-friendly pipette-tip based sample preparation solution that yields high protein recovery and proteome identifications comparable to an established S-Trap method. It combines low backpressure for manual pipetting with robust peptide and protein recovery across tissue and bacterial lysates, offering an attractive option for laboratories that require reduced sample consumption, simplified workflows and straightforward automation pathways without sacrificing data quality.References
Demichev V, Messner CB, Vernardis SI, Lilley KS, Ralser M. DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput. Nat Methods. 2020 Jan;17(1):41-44. doi:10.1038/s41592-019-0638-x. Epub 2019 Nov 25. PMID:31768060; PMCID:PMC6949130.Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.