Department of Chemistry and Applied Biosciences, Eidgenössiche Technische Hochschule Zurich, CH-8093 Zurich, Switzerland.
Proc Natl Acad Sci U S A. 2013 May 28;110(22):8790-4. doi: 10.1073/pnas.1209302110. Epub 2013 May 13.
Single-cell level measurements are necessary to characterize the intrinsic biological variability in a population of cells. In this study, we demonstrate that, with the microarrays for mass spectrometry platform, we are able to observe this variability. We monitor environmentally (2-deoxy-D-glucose) and genetically (ΔPFK2) perturbed Saccharomyces cerevisiae cells at the single-cell, few-cell, and population levels. Correlation plots between metabolites from the glycolytic pathway, as well as with the observed ATP/ADP ratio as a measure of cellular energy charge, give biological insight that is not accessible from population-level metabolomic data.
单细胞水平的测量对于描述细胞群体中的内在生物学变异性是必要的。在这项研究中,我们证明了,使用质谱微阵列平台,我们能够观察到这种变异性。我们在单细胞、少数细胞和群体水平上监测了环境(2-脱氧-D-葡萄糖)和遗传(ΔPFK2)扰动的酿酒酵母细胞。糖酵解途径中代谢物之间的相关图,以及作为细胞能量状态衡量标准的观察到的 ATP/ADP 比值,提供了从群体水平代谢组学数据中无法获得的生物学见解。