Nature Communications ( IF 14.7 ) Pub Date : 2024-11-19 , DOI: 10.1038/s41467-024-53736-x Koki Kunitake, Tadahaya Mizuno, Kazuki Hattori, Chitose Oneyama, Mako Kamiya, Sadao Ota, Yasuteru Urano, Ryosuke Kojima
Small extracellular vesicles (sEVs) are important intercellular information transmitters in various biological contexts, but their release processes remain poorly understood. Herein, we describe a high-throughput assay platform, CRISPR-assisted individually barcoded sEV-based release regulator (CIBER) screening, for identifying key players in sEV release. CIBER screening employs sEVs barcoded with CRISPR-gRNA through the interaction of gRNA and dead Cas9 fused with an sEV marker. Barcode quantification enables the estimation of the sEV amount released from each cell in a massively parallel manner. Barcoding sEVs with different sEV markers in a CRISPR pooled-screening format allows genome-wide exploration of sEV release regulators in a subpopulation-specific manner, successfully identifying previously unknown sEV release regulators and uncovering the exosomal/ectosomal nature of CD63+/CD9+ sEVs, respectively, as well as the synchronization of CD9+ sEV release with the cell cycle. CIBER should be a valuable tool for detailed studies on the biogenesis, release, and heterogeneity of sEVs.
中文翻译:
使用 CRISPR-gRNA 对小细胞外囊泡进行条形码编码,可对其生物发生和释放调节因子进行全面的亚群特异性分析
小细胞外囊泡 (sEVs) 是各种生物学环境中重要的细胞间信息传递者,但对其释放过程仍然知之甚少。在此,我们描述了一个高通量检测平台,CRISPR 辅助 indididually barcoded sEV based release regulator (CIBER) 筛选,用于识别 sEV 释放中的关键参与者。CIBER 筛选采用通过 gRNA 和与 sEV 标记融合的死亡 Cas9 的相互作用,用 CRISPR-gRNA 标记的 sEV 进行编码。条形码定量能够以大规模并行方式估计从每个细胞释放的 sEV 量。在 CRISPR 混合筛选格式中,用不同的 sEV 标记对 sEV 进行条形码,可以以亚群特异性方式对 sEV 释放调节因子进行全基因组探索,成功识别以前未知的 sEV 释放调节因子,并分别揭示 CD63 + / CD9 + sEVs 的外泌体/外泌体性质,以及 CD9 的同步sEV 随细胞周期释放。CIBER 应该是详细研究 sEVs 的生物发生、释放和异质性的有价值的工具。