• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

单细胞水平蛋白质分泌检测方法开发中的挑战。

Challenges in Developing Protein Secretion Assays at a Single-Cell Level.

作者信息

Shirasaki Yoshitaka, Ohara Osamu

机构信息

PRESTO, Japan Science and Technology Agency, Tokyo, Japan.

Department of Biological Science, Graduate School of Science, The University of Tokyo, Tokyo, Japan.

出版信息

Methods Mol Biol. 2018;1808:1-7. doi: 10.1007/978-1-4939-8567-8_1.

DOI:10.1007/978-1-4939-8567-8_1
PMID:29956169
Abstract

In addition to direct physical interactions between/among cells, the secretion of humoral factors from living cells is a critical process for cell-cell communications. A well-known extracellular signaling event is mediated by immune cell cytokines/chemokines. Because cell-cell communication is crucial in immune cell sociology, protein secretion assays first attracted a broad range of immunology interests. Now that we have entered an era of systems biology, cell-cell interactions mediated by secreted molecules should be revisited to understand the dynamics and homeostasis of the cell society as a whole. Of more importance, recent advances in detection and microfluidics technologies enable us to monitor protein secretion in real time rather than as a snapshot from the past, which gives us an opportunity to more deeply understand the logic of mammalian cell sociology. This chapter reviews the recent progress in and future direction of protein secretion assays, particularly from a mammalian cell sociology viewpoint.

摘要

除了细胞之间的直接物理相互作用外,活细胞分泌体液因子是细胞间通讯的关键过程。一个著名的细胞外信号事件是由免疫细胞细胞因子/趋化因子介导的。由于细胞间通讯在免疫细胞社会学中至关重要,蛋白质分泌测定首先引起了广泛的免疫学关注。既然我们已经进入了系统生物学时代,就应该重新审视由分泌分子介导的细胞间相互作用,以了解整个细胞社会的动态和稳态。更重要的是,检测和微流控技术的最新进展使我们能够实时监测蛋白质分泌,而不是像过去那样只获取一个快照,这让我们有机会更深入地理解哺乳动物细胞社会学的逻辑。本章综述了蛋白质分泌测定的最新进展和未来方向,特别是从哺乳动物细胞社会学的角度。

相似文献

1
Challenges in Developing Protein Secretion Assays at a Single-Cell Level.单细胞水平蛋白质分泌检测方法开发中的挑战。
Methods Mol Biol. 2018;1808:1-7. doi: 10.1007/978-1-4939-8567-8_1.
2
Toward an understanding of immune cell sociology: real-time monitoring of cytokine secretion at the single-cell level.深入了解免疫细胞社会学:单细胞水平上细胞因子分泌的实时监测。
IUBMB Life. 2013 Jan;65(1):28-34. doi: 10.1002/iub.1110.
3
Measuring single-cell protein secretion in immunology: Technologies, advances, and applications.测量免疫学中单细胞蛋白分泌:技术、进展与应用。
Eur J Immunol. 2021 Jun;51(6):1334-1347. doi: 10.1002/eji.202048976. Epub 2021 Apr 1.
4
Single-Cell Protein Secretion Detection and Profiling.单细胞蛋白分泌检测与分析。
Annu Rev Anal Chem (Palo Alto Calif). 2019 Jun 12;12(1):431-449. doi: 10.1146/annurev-anchem-061318-115055. Epub 2019 Apr 12.
5
Microfluidics in systems biology-hype or truly useful?系统生物学中的微流控技术——是炒作还是真的有用?
Curr Opin Biotechnol. 2016 Jun;39:215-220. doi: 10.1016/j.copbio.2016.04.020.
6
Plant Systems Biology at the Single-Cell Level.在单细胞水平的植物系统生物学。
Trends Plant Sci. 2017 Nov;22(11):949-960. doi: 10.1016/j.tplants.2017.08.006. Epub 2017 Sep 29.
7
Microfluidic Immunoassays for Time-Resolved Measurement of Protein Secretion from Single Cells.微流控免疫分析用于实时测量单细胞分泌的蛋白质。
Annu Rev Anal Chem (Palo Alto Calif). 2020 Jun 12;13(1):67-84. doi: 10.1146/annurev-anchem-091619-101212. Epub 2020 Feb 7.
8
Digital biology and chemistry.数字生物学与化学。
Lab Chip. 2014 Sep 7;14(17):3225-32. doi: 10.1039/c4lc00248b.
9
Microfluidics-based single-cell functional proteomics for fundamental and applied biomedical applications.基于微流控技术的单细胞功能蛋白质组学在基础和应用生物医学中的应用
Annu Rev Anal Chem (Palo Alto Calif). 2014;7:275-95. doi: 10.1146/annurev-anchem-071213-020323. Epub 2014 Jun 2.
10
Single-cell gene expression profiling and cell state dynamics: collecting data, correlating data points and connecting the dots.单细胞基因表达谱分析与细胞状态动态:收集数据、关联数据点并梳理脉络。
Curr Opin Biotechnol. 2016 Jun;39:207-214. doi: 10.1016/j.copbio.2016.04.015. Epub 2016 May 23.

引用本文的文献

1
Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.用于分析先天性免疫缺陷的多组学技术:从平均细胞的快照到单细胞分辨率下的动态时间图谱。
Inflamm Regen. 2021 Jul 1;41(1):19. doi: 10.1186/s41232-021-00169-4.