LBPO.CH01 · 化学 · Late-Breaking
利用邻近网络分析(Proximity Network Assay)解码CAR T细胞的单细胞蛋白互作组
Decoding single-cell protein interactomes of CAR T cells with the Proximity Network Assay
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
细胞表面的蛋白质是适应性免疫系统中细胞功能的关键决定因素。邻近网络分析(PNA)是一个基于测序的平台,可在单细胞分辨率下解析蛋白质组织。利用DNA条形码抗体和邻近依赖性连接,PNA可同时测量155种免疫蛋白的丰度、聚集和共定位,在不使用光学手段的情况下生成每个细胞约50,000个分子位置的纳米级表面图谱。这种空间分辨的读出使跨数千个细胞对膜蛋白质组进行系统分析成为可能。我们通过鉴定稳态下CD19 CAR受体的邻近组(proxiome)并揭示肿瘤细胞接触过程中的动态蛋白质组重塑(包括对CAR T细胞体内功能至关重要的关键现象,如胞啃作用(trogocytosis)和细胞-细胞偶联形成),展示了PNA的实用性。通过大规模地将空间背景与多重蛋白质分析相结合,PNA为蛋白互作组学、生物标志物发现以及目前正在临床评估中的细胞免疫疗法的机制洞见提供了一个强大平台。
查看英文原文 English abstract
Proteins on the cell surface are key determinants of the cellular function in the adaptive immune system. The Proximity Network Assay (PNA) is a sequencing-based platform that resolves protein organization at single-cell resolution. Using DNA-barcoded antibodies and proximity-dependent ligation, PNA simultaneously measures the abundance, clustering, and colocalization of 155 immune proteins, generating nanoscale surface maps comprising ~50,000 molecular positions per cell without the use of optics. This spatially resolved readout enables systematic analysis of the membrane proteome across thousands of cells. We demonstrate the utility of PNA by identifying the proxiome of the CD19 CAR receptor at steady state and revealing dynamic proteomic remodeling during tumor cell encounter, including key phenomena such as trogocytosis and cell-cell conjugate formation that are key for CAR T cell function in vivo. By integrating spatial context with multiplex protein profiling at scale, PNA provides a powerful platform for protein interactomics, biomarker discovery, and mechanistic insights for cellular immunotherapies currently under clinical evaluation.
利益披露 Disclosure
F. Karlsson, None..
M. Simonetti, None..
C. Galonska, None..
H. van Ooijen, None..
T. Kallas, None..
D. Thiagarajan, None..
M. Schweitzer, None..
L. Larsson, None..
V. van Hoef, None..
W. Love, None..
J. Aguila, None..
S. Fredriksson, None..
M. Forster, None.