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新测序技术实现对细胞间交流的解析
作者:小柯机器人 发布时间:2020/3/22 19:40:27

以色列威兹曼科学研究所Ido Amit、Amos Tanay等研究人员合作开发出一项新技术,可通过对物理相互作用的细胞进行测序来解析细胞间交流。该项研究成果于2020年3月9日在线发表在《自然—生物技术》杂志上。

研究人员提出了一种对物理相互作用细胞(PIC-seq)进行测序的方法,该方法将物理相互作用细胞(PIC)的细胞分选与单细胞RNA测序相结合。使用计算模型,PIC-seq系统地映射原位细胞相互作用并表征其分子对话。研究人员应用PIC-seq调查了各种相互作用,包括新生鼠肺中的免疫上皮PIC。着眼于体内外T细胞与树突状细胞(DC)之间的相互作用,研究人员绘制了T细胞与DC的相互作用偏好,并发现调节性T细胞是与小鼠引流淋巴结中DC相互作用的主要T细胞亚型。T细胞与DC的分析揭示了病原体呈递性迁移DC和T细胞之间的相互作用特异性程序。PIC-seq提供了直接且广泛适用的技术,能够以高分辨率表征细胞间相互作用的特定途径。
 
据了解,相邻细胞之间的交流是许多生物学过程的基础,包括细胞信号传导、增殖和分化。当前的单细胞基因组技术在组织解离后分别对每个细胞进行分析,从而丢失了细胞间相互作用的信息。
 
附:英文原文

Title: Dissecting cellular crosstalk by sequencing physically interacting cells

Author: Amir Giladi, Merav Cohen, Chiara Medaglia, Yael Baran, Baoguo Li, Mor Zada, Pierre Bost, Ronnie Blecher-Gonen, Tomer-Meir Salame, Johannes U. Mayer, Eyal David, Franca Ronchese, Amos Tanay, Ido Amit

Issue&Volume: 2020-03-09

Abstract: Crosstalk between neighboring cells underlies many biological processes, including cell signaling, proliferation and differentiation. Current single-cell genomic technologies profile each cell separately after tissue dissociation, losing information on cell–cell interactions. In the present study, we present an approach for sequencing physically interacting cells (PIC-seq), which combines cell sorting of physically interacting cells (PICs) with single-cell RNA-sequencing. Using computational modeling, PIC-seq systematically maps in situ cellular interactions and characterizes their molecular crosstalk. We apply PIC-seq to interrogate diverse interactions including immune–epithelial PICs in neonatal murine lungs. Focusing on interactions between T cells and dendritic cells (DCs) in vitro and in vivo, we map T cell–DC interaction preferences, and discover regulatory T cells as a major T cell subtype interacting with DCs in mouse draining lymph nodes. Analysis of T cell–DC pairs reveals an interaction-specific program between pathogen-presenting migratory DCs and T cells. PIC-seq provides a direct and broadly applicable technology to characterize intercellular interaction-specific pathways at high resolution.

DOI: 10.1038/s41587-020-0442-2

Source: https://www.nature.com/articles/s41587-020-0442-2

期刊信息

Nature Biotechnology:《自然—生物技术》,创刊于1996年。隶属于施普林格·自然出版集团,最新IF:31.864
官方网址:https://www.nature.com/nbt/
投稿链接:https://mts-nbt.nature.com/cgi-bin/main.plex