Journal
CELLS
Volume 9, Issue 3, Pages -Publisher
MDPI
DOI: 10.3390/cells9030759
Keywords
cell heterogeneity; sarcoma; single-cell analysis; total mRNA level; transcriptome size
Categories
Funding
- Assar Gabrielssons Research Foundation
- Johan Jansson Foundation for Cancer Research
- Knut and Alice Wallenberg Foundation, Wallenberg Centre for Molecular and Translational Medicine, University of Gothenburg, Gothenburg, Sweden
- Swedish Cancer Society [2016-438, 19-0306, 2018-830]
- Swedish Research Council [2017-01392]
- Swedish Childhood Cancer Foundation [2017-0043, MTI2019-0008]
- Swedish government [716321]
- Wilhelm and Martina Lundgren Foundation for Scientific Research
- VINNOVA
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Single-cell analysis enables detailed molecular characterization of cells in relation to cell type, genotype, cell state, temporal variations, and microenvironment. These studies often include the analysis of individual genes and networks of genes. The total amount of RNA also varies between cells due to important factors, such as cell type, cell size, and cell cycle state. However, there is a lack of simple and sensitive methods to quantify the total amount of RNA, especially mRNA. Here, we developed a method to quantify total mRNA levels in single cells based on global reverse transcription followed by quantitative PCR. Standard curve analyses of diluted RNA and sorted cells showed a wide dynamic range, high reproducibility, and excellent sensitivity. Single-cell analysis of three sarcoma cell lines and human fibroblasts revealed cell type variations, a lognormal distribution of total mRNA levels, and up to an eight-fold difference in total mRNA levels among the cells. The approach can easily be combined with targeted or global gene expression profiling, providing new means to study cell heterogeneity at an individual gene level and at a global level. This method can be used to investigate the biological importance of variations in the total amount of mRNA in healthy as well as pathological conditions.
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