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April 5, 2026Cancer Research0 citations

Abstract 7692: Proteomic analysis of immune synapses by high-precision microscopy-guided photo-biotinylation

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JLJung-Chi LiaoCCChantal Hoi Yin CheungWCWeng-Man Chong

Key Points

  • To uncover the complete proteomic composition of immune synapses and their roles in lymphocyte recognition of tumor cells.
  • Integrated workflow utilizing Syncell’s Microscoop® Mint platform for photo-biotinylation and mass spectrometry.
  • Isolation of proteins through pulldown from T-lymphocytes and B cells at nanoscale precision.
  • Use of a deep learning algorithm to analyze CD3 signals at T-B cell synapses.
  • Identification of canonical proteins linked to T-cell receptor signaling pathways.
  • Discovery of proteins not previously associated with T-B immune responses.
  • Validation of methodology allowing for unbiased enrichment of immune synapse proteins.

Abstract

Abstract An immune synapse (IS) is essential for lymphocyte recognition and cytotoxic response against tumor cells. Although numerous proteins involved in IS formation, stability, and signaling pathways have been characterized, the complete proteomic composition of the synapse remains unknown. A significant challenge involves the purification of proteins at a nanoscale organization with adequate specificity and sensitivity. In this context, we employed an integrated workflow using Syncell’s Microscoop® Mint platform, an advanced technology integrating microscopy-guided automated photo-biotinylation, pulldown, and mass spectrometry to isolate and identify proteins localized between T-lymphocytes (Jurkat) and B cells (Raji B). IS formation between T-B cells was recognized using a convolutional neural network-based deep learning algorithm based on CD3 (T-lymphocyte surface marker) signal at the T-B cell synapses. Automated photo-induced biotinylation was performed across thousands of fields of view so that sufficient proteins were biotinylated for the subsequent pulldown and LC-MS/MS-based proteome identification. We precisely identified canonical proteins linked to critical components of T-cell receptor (TCR) signaling pathways, including the TCR/CD3 complex, Src and Tec family tyrosine kinases, and essential NF-kB signaling molecules, thereby validating the specificity of our spatial proteomics methodology. Furthermore, we observed enrichment of proteins not previously associated with the T-B cell immune generating testable hypotheses for advancing the functional dissection of the immunological synapse. Microscoop couples optics and proteomics to enable the precise enrichment of the IS proteins at the Raji-Jurkat interface, and can be readily applied to studies of other types of ISs or ISs from patient tissue samples. Together, these data demonstrate that resolving the nanoscale proteomic architecture of the IS is essential for uncovering how lymphocytes recognize and sometimes fail to recognize tumor cells. By enabling precise, unbiased enrichment of IS proteins, this approach opens new avenues to identify immune-evasion mechanisms and novel therapeutic targets in cancer. Citation Format: Jung-Chi Liao, Chantal Hoi Yin Cheung, Weng-Man Chong, Harry Huang, Hsiao-Jen Chang, Chia-Wen Chung. Proteomic analysis of immune synapses by high-precision microscopy-guided photo-biotinylation 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 7692.

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Cite This Study

Liao et al. (2026) studied this question.

synapsesocial.com/papers/69d1fe18a79560c99a0a4a3ehttps://doi.org/10.1158/1538-7445.am2026-7692
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