Small molecule modulation of protein corona for deep plasma proteome profiling
The protein corona formed on nanoparticles (NPs) has potential as a valuable diagnostic tool for improving plasma proteome coverage. Here, we show that spiking small molecules, including metabolites, lipids, vitamins, and nutrients into plasma can induce diverse protein corona patterns on otherwise identical NPs, significantly enhancing the depth of plasma proteome profiling. The protein coronas on polystyrene NPs when exposed to plasma treated with an array of small molecules allows for the detection of 1793 proteins marking an 8.25-fold increase in the number of quantified proteins compared to plasma alone (218 proteins) and a 2.63-fold increase relative to the untreated protein corona (681 proteins). Furthermore, we discovered that adding 1000 µg/ml phosphatidylcholine could singularly enable the detection of 897 proteins. At this specific concentration, phosphatidylcholine selectively depletes the four most abundant plasma proteins, including albumin, thus reducing the dynamic range of plasma proteome and enabling the detection of proteins with lower abundance. Employing an optimized data-independent acquisition approach, the inclusion of phosphatidylcholine leads to the detection of 1436 proteins in a single plasma sample. Our molecular dynamics results reveal that phosphatidylcholine interacts with albumin via hydrophobic interactions, H-bonds, and water bridges. The addition of phosphatidylcholine also enables the detection of 337 additional proteoforms compared to untreated protein corona using a top-down proteomics approach. Given the critical role of plasma proteomics in biomarker discovery and disease monitoring, we anticipate the widespread adoption of this methodology for the identification and clinical translation of biomarkers.
Authors
- Amir Ata Saei (ORCID: https://orcid.org/0000-0002-2639-6328)
- Maryam Jafari (ORCID: https://orcid.org/0000-0002-7261-2191)
- Teng-Jui Lin (ORCID: https://orcid.org/0000-0002-4691-1059)
- Ali Akbar Ashkarran (ORCID: https://orcid.org/0000-0001-7883-6690)
- Maryam Sayadi
- Ghafar Yerima (ORCID: https://orcid.org/0009-0003-5292-8505)
- Zijin Lin (ORCID: https://orcid.org/0000-0002-6706-5410)
- Avirup Guha (ORCID: https://orcid.org/0000-0003-0253-1174)
- Markita P. Landry (ORCID: https://orcid.org/0000-0002-5832-8522)
- Hassan Gharibi (ORCID: https://orcid.org/0000-0002-3072-4929)
- Mohammad R. K. Mofrad (ORCID: https://orcid.org/0000-0001-7004-4859)
- Liangliang Sun (ORCID: https://orcid.org/0000-0001-8939-5042)
- David Kakhniashvili (ORCID: https://orcid.org/0000-0002-4700-7176)
- Danilo Ritz
- Morteza Mahmoudi (ORCID: https://orcid.org/0000-0002-2575-9684)
- Seyed Majed Modaresi (ORCID: https://orcid.org/0000-0001-9747-9748)
- Ali Tamadon
- Qianyi Wang (ORCID: https://orcid.org/0009-0002-4405-7888)
- Seyed Amirhossein Sadeghi
Institutions
- University of Tennessee Health Science Center (US)
- University of Basel (CH)
- Augusta University (US)
- Karolinska Institutet (SE)
- Chan Zuckerberg Initiative (United States) (US)
- Michigan State University (US)
- University of California, Berkeley (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1038/s41467-024-53966-z
- Citations
- 32
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 7.70
Funders
- National Science Foundation
- Alfred P. Sloan Foundation
- Gordon and Betty Moore Foundation
- Camille and Henry Dreyfus Foundation
- McKnight Foundation
- Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
- Karolinska Institutet
- National Cancer Institute
- National Institute of Diabetes and Digestive and Kidney Diseases
- Division of Chemical, Bioengineering, Environmental, and Transport Systems