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Garapati K, Ding H, Charlesworth MC, Kim Y, Zenka R, Saraswat M, Mun DG, Chavan S, Shingade A, Lucien F, Zhong J, Kandasamy RK, Pandey A. sBioSITe enables sensitive identification of the cell surface proteome through direct enrichment of biotinylated peptides. Clin Proteomics 2023; 20:56. [PMID: 38053024 PMCID: PMC10696767 DOI: 10.1186/s12014-023-09445-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 11/17/2023] [Indexed: 12/07/2023] Open
Abstract
BACKGROUND Cell surface proteins perform critical functions related to immune response, signal transduction, cell-cell interactions, and cell migration. Expression of specific cell surface proteins can determine cell-type identity, and can be altered in diseases including infections, cancer and genetic disorders. Identification of the cell surface proteome remains a challenge despite several enrichment methods exploiting their biochemical and biophysical properties. METHODS Here, we report a novel method for enrichment of proteins localized to cell surface. We developed this new approach designated surface Biotinylation Site Identification Technology (sBioSITe) by adapting our previously published method for direct identification of biotinylated peptides. In this strategy, the primary amine groups of lysines on proteins on the surface of live cells are first labeled with biotin, and subsequently, biotinylated peptides are enriched by anti-biotin antibodies and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). RESULTS By direct detection of biotinylated lysines from PC-3, a prostate cancer cell line, using sBioSITe, we identified 5851 peptides biotinylated on the cell surface that were derived from 1409 proteins. Of these proteins, 533 were previously shown or predicted to be localized to the cell surface or secreted extracellularly. Several of the identified cell surface markers have known associations with prostate cancer and metastasis including CD59, 4F2 cell-surface antigen heavy chain (SLC3A2) and adhesion G protein-coupled receptor E5 (CD97). Importantly, we identified several biotinylated peptides derived from plectin and nucleolin, both of which are not annotated in surface proteome databases but have been shown to have aberrant surface localization in certain cancers highlighting the utility of this method. CONCLUSIONS Detection of biotinylation sites on cell surface proteins using sBioSITe provides a reliable method for identifying cell surface proteins. This strategy complements existing methods for detection of cell surface expressed proteins especially in discovery-based proteomics approaches.
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Affiliation(s)
- Kishore Garapati
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Husheng Ding
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | | | - Yohan Kim
- Department of Urology, Mayo Clinic, Rochester, MN, USA
| | - Roman Zenka
- Proteomics Core, Mayo Clinic, Rochester, MN, USA
| | - Mayank Saraswat
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Dong-Gi Mun
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Sandip Chavan
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Ashish Shingade
- Institute of Bioinformatics, International Technology Park, Bangalore, Karnataka, India
| | - Fabrice Lucien
- Department of Urology, Mayo Clinic, Rochester, MN, USA
- Department of Immunology, Mayo Clinic, Rochester, MN, USA
| | - Jun Zhong
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
| | - Richard K Kandasamy
- Manipal Academy of Higher Education (MAHE), Manipal, Karnataka, India
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA
- Department of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
- Center for Individualized Medicine, Mayo Clinic, Rochester, MN, USA.
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Jeon JM, Kwon OK, Na AY, Sung EJ, Cho IJ, Kim M, Yea SS, Chun SY, Lee JN, Ha YS, Kwon TG, Lee S. Correction: Secretome profiling of PC3/nKR cells, a novel highly migrating prostate cancer subline derived from PC3 cells. PLoS One 2019; 14:e0222693. [PMID: 31518368 PMCID: PMC6743762 DOI: 10.1371/journal.pone.0222693] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
[This corrects the article DOI: 10.1371/journal.pone.0220807.].
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