Protocol for generating high-fidelity proteomic profiles using DROPPS
Deep mass spectrometry-based proteomic profiling of rare cell populations has been constrained by sample input requirements. Here, we present a protocol for droplet-based one-pot preparation for proteomic samples (DROPPS), an accessible low-input platform that generates high-fidelity proteomic profiles of 100-2,500 cells. We describe steps for depositing cellular material, cell lysis, and digesting proteins in the same microliter-droplet well. We anticipate DROPPS will accelerate biology-driven proteomic research for a multitude of rare cell populations. For complete details on the use and execution of this protocol, please refer to Waas et al.<sup>1</sup>.
Authors
- Annie Ha (ORCID: https://orcid.org/0000-0002-8740-4125)
- Meinusha Govindarajan
- Aastha Aastha
- Matthew Waas (ORCID: https://orcid.org/0000-0003-4537-1502)
- Thomas Kislinger (ORCID: https://orcid.org/0000-0003-3525-5540)
- Michael Woolman (ORCID: https://orcid.org/0009-0002-7999-9592)
- Amanda Khoo (ORCID: https://orcid.org/0000-0001-8917-918X)
- Jiang He (ORCID: https://orcid.org/0000-0002-8286-9652)
- Brian Lin
- Charlotte Zuo
Institutions
- University Health Network (CA)
- Princess Margaret Cancer Centre (CA)
Publication Details
- Journal
- STAR Protocols
- Published
- 2024-10-17
- DOI
- https://doi.org/10.1016/j.xpro.2024.103397
- Citations
- 1
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.24
Funders
- Canadian Institutes of Health Research