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在微流控微恒化器阵列上对粟酒裂殖酵母进行长期单细胞分析。

Long-term single cell analysis of S. pombe on a microfluidic microchemostat array.

作者信息

Nobs Jean-Bernard, Maerkl Sebastian J

机构信息

Institute of Bioengineering, School of Engineering, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland.

出版信息

PLoS One. 2014 Apr 7;9(4):e93466. doi: 10.1371/journal.pone.0093466. eCollection 2014.

Abstract

Although Schyzosaccharomyces pombe is one of the principal model organisms for studying the cell cycle, surprisingly few methods have characterized S. pombe growth on the single cell level, and no methods exist capable of analyzing thousands of cells and tens of thousands of cell division events. We developed an automated microfluidic platform permitting S. pombe to be grown on-chip for several days under defined and changeable conditions. We developed an image processing pipeline to extract and quantitate several physiological parameters including cell length, time to division, and elongation rate without requiring synchronization of the culture. Over a period of 50 hours our platform analyzed over 100000 cell division events and reconstructed single cell lineages up to 10 generations in length. We characterized cell lengths and division times in a temperature shift experiment in which cells were initially grown at 30°C and transitioned to 25°C. Although cell length was identical at both temperatures at steady-state, we observed transient changes in cell length if the temperature shift took place during a critical phase of the cell cycle. We further show that cells born with normal length do divide over a wide range of cell lengths and that cell length appears to be controlled in the second generation, were large newly born cells have a tendency to divide more rapidly and thus at a normalized cell size. The platform is thus applicable to measure fine-details in cell cycle dynamics, should be a useful tool to decipher the molecular mechanism underlying size homeostasis, and will be generally applicable to study processes on the single cell level that require large numbers of precision measurements and single cell lineages.

摘要

尽管粟酒裂殖酵母是研究细胞周期的主要模式生物之一,但令人惊讶的是,在单细胞水平上表征粟酒裂殖酵母生长的方法很少,而且不存在能够分析数千个细胞和数万个细胞分裂事件的方法。我们开发了一个自动化微流控平台,使粟酒裂殖酵母能够在定义明确且可变的条件下在芯片上生长数天。我们开发了一种图像处理流程,无需对培养物进行同步化处理,就能提取和定量几个生理参数,包括细胞长度、分裂时间和伸长率。在50小时的时间里,我们的平台分析了超过100000个细胞分裂事件,并重建了长达10代的单细胞谱系。我们在一个温度转换实验中表征了细胞长度和分裂时间,在该实验中,细胞最初在30°C下生长,然后转换到25°C。尽管在稳态下两个温度下的细胞长度相同,但如果在细胞周期的关键阶段发生温度转换,我们观察到细胞长度会出现短暂变化。我们进一步表明,正常长度出生的细胞确实会在很宽的细胞长度范围内分裂,并且细胞长度似乎在第二代受到控制,新生的大细胞倾向于更快地分裂,从而达到标准化的细胞大小。因此,该平台适用于测量细胞周期动力学中的精细细节,应该是解读大小稳态背后分子机制的有用工具,并且将普遍适用于研究单细胞水平上需要大量精确测量和单细胞谱系的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bcd4/3977849/7501177b476d/pone.0093466.g001.jpg

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