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bioRxiv : the preprint server for biology · 2026

Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets.

СтатьяПрепринтНазвание и аннотация: Перевод в очереди
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Kishishita Audrey, Cismoski Sabine, Grant Tianna, Deo Rucha, Prudhvi Sanjana, Sue Catherine, Barpanda Abhilash, Yu Clinton, Shenoy Sanjyot, Berman Sarah, Reeves Audrey G, Li Haolong, Liu Tianyi, Naik Akul, Biswas Deeptarup, Jiao Fenglong, He Yi, Hancock Matthew, Dalal Radhika, Zalevsky Arther, Hoopmann Michael R, Ye Chun Jimmie, Viner Rosa, Feng Felix, Mandal Kamal, Moritz Robert L, Riesco Ignacia Echeverria, Sali Andrej, Wells James A, Srivastava Sanjeeva, Huang Lan, Wiita Arun P

Аннотация

The complement of tumor cell surface proteins, or "surfaceome", is a rich source of potential immunotherapy targets. To move beyond expression-based target discovery, we previously described "structural surfaceomics," combining crosslinking mass spectrometry (XL-MS) with surface protein biotinylation to identify conformation-selective targets. In our prior work, we applied this method to a single model of acute myeloid leukemia (AML), identifying active integrin beta-2 as a promising target. Here, we expand structural surfaceomics to identify additional immunotherapy targets and surface protein biology across additional models of AML, multiple myeloma, and prostate cancer, as well as donor peripheral blood mononuclear cells. Utilizing these models and different chemical crosslinkers, we compile an extensive database of 5,209 crosslinks. We characterize both shared and unique crosslink-based features, identifying 1,612 disease model-specific crosslinks, including 212 potentially defining tumor-specific conformations based on distance constraint violations relative to AlphaFold predictions. We further implement a suite of emerging modeling tools to predict tumor-specific protein structures. We probe crosslinking patterns suggesting multiple myeloma-specific CD48 and AML-specific integrin α1/β4 heterodimer conformations. This work establishes a resource for cancer structural biology by implementation of structural surfaceomics. Our findings also point toward more realistic protein design models, potentially enabling systematic detection of targetable cancer-specific epitopes for next-generation immunotherapies.

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

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