Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking
Dissecting genealogy and cell cycle as sources of cell-to-cell variability in MAPK signaling using high-throughput lineage tracking
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使用高通量谱系追踪剖析谱系和细胞周期作为 MAPK 信号传导中细胞间变异的来源
DOI:
10.1073/pnas.1215850110
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发表时间:
2013
期刊:
影响因子:
--
通讯作者:
C. Hansen
中科院分区:
文献类型:
--
作者:
Markéta Řičicová;M. Hamidi;Adam Quiring;A. Niemistö;E. Emberly;C. Hansen
Cells, even those having identical genotype, exhibit variability in their response to external stimuli. This variability arises from differences in the abundance, localization, and state of cellular components. Such nongenetic differences are likely heritable between successive generations and can also be influenced by processes such as cell cycle, age, or interplay between different pathways. To address the contribution of nongenetic heritability and cell cycle in cell-to-cell variability we developed a high-throughput and fully automated microfluidic platform that allows for concurrent measurement of gene expression, cell-cycle periods, age, and lineage information under a large number of temporally changing medium conditions and using multiple strains. We apply this technology to examine the role of nongenetic inheritance in cell heterogeneity of yeast pheromone signaling. Our data demonstrate that the capacity to respond to pheromone is passed across generations and that the strength of the response correlations between related cells is affected by perturbations in the signaling pathway. We observe that a ste50Δ mutant strain exhibits highly heterogeneous response to pheromone originating from a unique asymmetry between mother and daughter response. On the other hand, fus3Δ cells were found to exhibit an unusually high correlation between mother and daughter cells that arose from a combination of extended cell-cycle periods of fus3Δ mothers, and decreased cell-cycle modulation of the pheromone pathway. Our results contribute to the understanding of the origins of cell heterogeneity and demonstrate the importance of automated platforms that generate single-cell data on several parameters.
DOI:
10.1073/pnas.88.21.9392
发表时间:
1991-11-01
影响因子:
11.1
作者:
ELION, EA;BRILL, JA;FINK, GR
通讯作者:
FINK, GR
影响因子:
6.1
作者:
Falconnet D;Niemistö A;Taylor RJ;Ricicova M;Galitski T;Shmulevich I;Hansen CL
通讯作者:
Hansen CL
影响因子:
64.8
作者:
Eilken, Hanna M.;Nishikawa, Shin-Ichi;Schroeder, Timm
通讯作者:
Schroeder, Timm