Abstract Cell surface proteins mediate essential signaling, trafficking, and cell-cell interactions, representing key biomarker and drug target classes. Yet, comprehensive characterization of human cells surfaceome remains challenging due to the limited spatial precision and labeling specificity of existing proteomic methods. We present an integrated workflow using Syncell’s Microscoop® Mint platform in combination with Synlight-Rich and Synlight-Pure reagents to achieve nanometer-scale, unbiased surfaceome discovery with exceptionally high specificity. Synlight-Rich employs two-photon photo-biotinylation to covalently tag proteins within user-defined microscopy regions of interest (ROI) at ∼350 nm lateral resolution, enabling deep proteomic interrogation of subcellular domains with high spatial control. Labeled proteins are recovered via the Synpull kit and analyzed by LC-MS/MS. Building on this, Synlight-Pure introduces antibody-mediated proximity labeling, restricting biotinylation to within ∼25-50 nm of the target structure. This dual-precision approach—image-guided and chemistry-confined—enables selective, high-specificity enrichment of membrane-associated and interaction-proximal proteins. In HeLa cells, Microscoop with Synlight-Rich identified 3,500 proteins, including 1,000 known plasma-membrane proteins, with 50% showing ≥1.5-fold enrichment (P 0.05) over unlabeled controls. Gene Ontology analysis revealed that ∼55% of the top 200 enriched proteins localized to plasma-membrane compartments. Integration of Synlight-Pure increased membrane-specific identifications to ∼70% within the same enrichment group, highlighting substantial improvement in labeling specificity and the discovery of previously uncharacterized surface components involved in receptor- and transporter-mediated signaling. By extending spatial proteomics from the micrometer to nanometer scale, Synlight-Rich and Synlight-Pure together unify unbiased discovery and targeted molecular precision within a single workflow. This platform enables comprehensive cell surfaceome mapping with unparalleled specificity, accelerating biomarker and therapeutic target identification across oncology, neurodegeneration, and immunology. Citation Format: Jung-Chi Liao, Po-Chao Chan, Weng-Man Chong, Hsiao-Jen Chang, Michelli Faria de Oliveira, Elate Huang, Daniel Dlugolenski. Unlocking the surfaceome: Nanoscale spatial proteomics for biomarker and target discovery using Synlight-Rich and Synlight-Pure abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 7693.
Liao et al. (Fri,) studied this question.
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