小柯机器人

通过测序实现对单细胞蛋白质分泌的时间分辨评估
2023-04-16 23:06

新加坡国立大学Lih Feng Cheow研究团队通过测序实现对单细胞蛋白质分泌的时间分辨评估。2023年4月10日,《自然—方法学》杂志在线发表了这项成果。

研究人描述了通过测序(TRAPS-seq)对单细胞的蛋白质分泌进行时间分辨评估。释放的蛋白质被捕获到细胞表面,并通过寡核苷酸条形编码抗体进行探测,然后与单细胞的转录组同时测序。研究人员证明TRAPS-seq有助于揭示激活的T细胞分泌多效性TH1细胞因子(IFNγ、IL-2和TNF)的表型和转录决定因素。此外,研究人员表明TRAPS-seq可以用来追踪多种细胞因子的分泌,并发现支配单细胞细胞因子分泌动态的独特分子特征。

这些结果显示,具有CD45RA表达的早期中央记忆T细胞(TCMRA)在生产和维持多功能细胞因子方面都很重要。TRAPS-seq提出了一个独特的工具,可以将单细胞中的秘密组学测量与多组学分析进行无缝整合。

据悉,分泌的蛋白质在细胞交流中发挥着关键作用。目前还没有能够同时测量细胞蛋白质分泌、表型和转录组的方法。

附:英文原文

Title: Time-resolved assessment of single-cell protein secretion by sequencing

Author: Wu, Tongjin, Womersley, Howard John, Wang, Jiehao Ray, Scolnick, Jonathan, Cheow, Lih Feng

Issue&Volume: 2023-04-10

Abstract: Secreted proteins play critical roles in cellular communication. Methods enabling concurrent measurement of cellular protein secretion, phenotypes and transcriptomes are still unavailable. Here we describe time-resolved assessment of protein secretion from single cells by sequencing (TRAPS-seq). Released proteins are trapped onto the cell surface and probed by oligonucleotide-barcoded antibodies before being simultaneously sequenced with transcriptomes in single cells. We demonstrate that TRAPS-seq helps unravel the phenotypic and transcriptional determinants of the secretion of pleiotropic TH1 cytokines (IFNγ, IL-2 and TNF) in activated T cells. In addition, we show that TRAPS-seq can be used to track the secretion of multiple cytokines over time, uncovering unique molecular signatures that govern the dynamics of single-cell cytokine secretions. Our results revealed that early central memory T cells with CD45RA expression (TCMRA) are important in both the production and maintenance of polyfunctional cytokines. TRAPS-seq presents a unique tool for seamless integration of secretomics measurements with multi-omics profiling in single cells.

DOI: 10.1038/s41592-023-01841-y

Source: https://www.nature.com/articles/s41592-023-01841-y

Nature Methods:《自然—方法学》,创刊于2004年。隶属于施普林格·自然出版集团,最新IF:47.99
官方网址:https://www.nature.com/nmeth/
投稿链接:https://mts-nmeth.nature.com/cgi-bin/main.plex


本期文章:《自然—方法学》:Online/在线发表

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