Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity
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 d...
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doaj-2d5d4c9bc2414f5eb824d3147783cf582020-11-25T01:41:51ZengMDPI AGCells2073-44092020-03-019375910.3390/cells9030759cells9030759Total mRNA Quantification in Single Cells: Sarcoma Cell HeterogeneityEmma Jonasson0Lisa Andersson1Soheila Dolatabadi2Salim Ghannoum3Pierre Åman4Anders Ståhlberg5Sahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSahlgrenska Cancer Center, Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy at University of Gothenburg, SE-405 30 Gothenburg, SwedenSingle-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.https://www.mdpi.com/2073-4409/9/3/759cell heterogeneitysarcomasingle-cell analysistotal mrna leveltranscriptome size |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Emma Jonasson Lisa Andersson Soheila Dolatabadi Salim Ghannoum Pierre Åman Anders Ståhlberg |
spellingShingle |
Emma Jonasson Lisa Andersson Soheila Dolatabadi Salim Ghannoum Pierre Åman Anders Ståhlberg Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity Cells cell heterogeneity sarcoma single-cell analysis total mrna level transcriptome size |
author_facet |
Emma Jonasson Lisa Andersson Soheila Dolatabadi Salim Ghannoum Pierre Åman Anders Ståhlberg |
author_sort |
Emma Jonasson |
title |
Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity |
title_short |
Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity |
title_full |
Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity |
title_fullStr |
Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity |
title_full_unstemmed |
Total mRNA Quantification in Single Cells: Sarcoma Cell Heterogeneity |
title_sort |
total mrna quantification in single cells: sarcoma cell heterogeneity |
publisher |
MDPI AG |
series |
Cells |
issn |
2073-4409 |
publishDate |
2020-03-01 |
description |
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. |
topic |
cell heterogeneity sarcoma single-cell analysis total mrna level transcriptome size |
url |
https://www.mdpi.com/2073-4409/9/3/759 |
work_keys_str_mv |
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