Improved surfactant-assisted one-pot sample preparation for robust convenient single cell proteomics
Recent advances in mass spectrometry-based single-cell proteomics (SCP) technologies have revolutionized the SCP field for comprehensive characterization of cellular heterogeneity. However, most of the current SCP approaches employ sub-µL to 1 µL processing volume for effective single-cell sample preparation using either ultralow-volume specialized devices or a 384-well plate by frequently adding water to the plate well to compensate water evaporation, which greatly limits their broad accessibility and analytical robustness. Here we report a robust convenient SCP method termed iSOP ( <b>i</b> mproved <b>S</b> urfactant-assisted <b>O</b> ne- <b>P</b> ot processing) for processing of single cells at the low µL processing volume using the 384-well plate with tight sealing to avoid sample drying loss. This iSOP SCP method was built upon our previously developed SOP method by the replacement of a PCR tube or 96-well plate with the low-volume 384-well plate and systematic optimization of the single-cell processing conditions. After optimization, 3 µL was selected as the processing volume with a mixture of 2 ng trypsin and 2 ng Lys-C enzymes in terms of robustness, detection sensitivity, and operation convenience. With a commonly accessible LC-MS platform, iSOP-MS can detect and quantify ∼1,200-1,800 protein groups from single HeLa or MCF7 cells. Application of iSOP-MS to two neuroblastoma cell lines has demonstrated that iSOP-MS enabled reliable identification of an average of ∼1,700 and ∼2,050 protein groups from single BE2-C and SK-N-SH cells, respectively, and precise characterization of cellular heterogeneity between the two distinct cell types and within the same cell type. When compared to other available SCP methods, iSOP-MS is more robust and convenient for routine, cost-effective quantitative SCP analysis.
Authors
- Reta Birhanu Kitata (ORCID: https://orcid.org/0000-0002-8973-7679)
- Karl Weitz (ORCID: https://orcid.org/0000-0003-3453-1283)
- Massimo Cristofanilli (ORCID: https://orcid.org/0000-0002-4194-7175)
- Mara Serena Serafini (ORCID: https://orcid.org/0000-0001-9192-9170)
- T. Liu
- Zhangyang Xu (ORCID: https://orcid.org/0000-0002-0314-9244)
- Vladislav Petyuk (ORCID: https://orcid.org/0000-0003-4076-151X)
- Elisabetta Molteni (ORCID: https://orcid.org/0009-0005-1979-5020)
- Carolina Reduzzi (ORCID: https://orcid.org/0000-0003-0514-0152)
- Matthew Gaffrey
- Nadia Bayou
- Tujin Shi
- Rui Zhao
Institutions
- Pacific Northwest National Laboratory (US)
- Cornell University (US)
- Environmental Molecular Sciences Laboratory (US)
- Weill Cornell Medicine (US)
Publication Details
- Journal
- bioRxiv (Cold Spring Harbor Laboratory)
- Published
- 2025-12-27
- DOI
- https://doi.org/10.64898/2025.12.26.696642
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- Battelle
- National Institutes of Health
- Pacific Northwest National Laboratory