Literature DB >> 23281035

Toward an understanding of immune cell sociology: real-time monitoring of cytokine secretion at the single-cell level.

Yoshitaka Shirasaki1, Mai Yamagishi, Nanako Shimura, Atsushi Hijikata, Osamu Ohara.   

Abstract

The immune system is a very complex and dynamic cellular system, and its intricacies are considered akin to those of human society. Disturbance of homeostasis of the immune system results in various types of diseases; therefore, the homeostatic mechanism of the immune system has long been a subject of great interest in biology, and a lot of information has been accumulated at the cellular and the molecular levels. However, the sociological aspects of the immune system remain too abstract to address because of its high complexity, which mainly originates from a large number and variety of cell-cell interactions. As long-range interactions mediated by cytokines play a key role in the homeostasis of the immune system, cytokine secretion analyses, ranging from analyses of the micro level of individual cells to the macro level of a bulk of cell ensembles, provide us with a solid basis of a sociological viewpoint of the immune system. In this review, as the first step toward a comprehensive understanding of immune cell sociology, cytokine secretion of immune cells is surveyed with a special emphasis on the single-cell level, which has been overlooked but should serve as a basis of immune cell sociology. Now that it has become evident that large cell-to-cell variations in cytokine secretion exist at the single-cell level, we face a tricky yet interesting question: How is homeostasis maintained when the system is composed of intrinsically noisy agents? In this context, we discuss how the heterogeneity of cytokine secretion at the single-cell level affects our view of immune cell sociology. While the apparent inconsistency between homeostasis and cell-to-cell heterogeneity is difficult to address by a conventional reductive approach, comparison and integration of single-cell data with macroscopic data will offer us a new direction for the comprehensive understanding of immune cell sociology.
Copyright © 2012 International Union of Biochemistry and Molecular Biology, Inc.

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Year:  2013        PMID: 23281035     DOI: 10.1002/iub.1110

Source DB:  PubMed          Journal:  IUBMB Life        ISSN: 1521-6543            Impact factor:   3.885


  3 in total

Review 1.  Multiomic technologies for analyses of inborn errors of immunity: from snapshot of the average cell to dynamic temporal picture at single-cell resolution.

Authors:  Yusuke Kawashima; Ryuta Nishikomori; Osamu Ohara
Journal:  Inflamm Regen       Date:  2021-07-01

2.  A Simple Microfluidic Platform for Long-Term Analysis and Continuous Dual-Imaging Detection of T-Cell Secreted IFN-γ and IL-2 on Antibody-Based Biochip.

Authors:  Dieudonné R Baganizi; Loïc Leroy; Loïc Laplatine; Stacie J Fairley; Samuel Heidmann; Samia Menad; Thierry Livache; Patrice N Marche; Yoann Roupioz
Journal:  Biosensors (Basel)       Date:  2015-12-04

3.  Construction of a system using a deep learning algorithm to count cell numbers in nanoliter wells for viable single-cell experiments.

Authors:  Takashi Kamatani; Koichi Fukunaga; Kaede Miyata; Yoshitaka Shirasaki; Junji Tanaka; Rie Baba; Masako Matsusaka; Naoyuki Kamatani; Kazuyo Moro; Tomoko Betsuyaku; Sotaro Uemura
Journal:  Sci Rep       Date:  2017-12-04       Impact factor: 4.379

  3 in total

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