TY - JOUR
T1 - sBioSITe enables sensitive identification of the cell surface proteome through direct enrichment of biotinylated peptides
AU - Garapati, Kishore
AU - Ding, Husheng
AU - Charlesworth, M. Cristine
AU - Kim, Yohan
AU - Zenka, Roman
AU - Saraswat, Mayank
AU - Mun, Dong Gi
AU - Chavan, Sandip
AU - Shingade, Ashish
AU - Lucien, Fabrice
AU - Zhong, Jun
AU - Kandasamy, Richard K.
AU - Pandey, Akhilesh
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - BioSITe
KW - Biotinylation
KW - Surfaceome
UR - http://www.scopus.com/inward/record.url?scp=85178456666&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85178456666&partnerID=8YFLogxK
U2 - 10.1186/s12014-023-09445-6
DO - 10.1186/s12014-023-09445-6
M3 - Article
AN - SCOPUS:85178456666
SN - 1542-6416
VL - 20
JO - Clinical Proteomics
JF - Clinical Proteomics
IS - 1
M1 - 56
ER -