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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Main Authors: Emma Jonasson, Lisa Andersson, Soheila Dolatabadi, Salim Ghannoum, Pierre Åman, Anders Ståhlberg
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Cells
Subjects:
Online Access:https://www.mdpi.com/2073-4409/9/3/759
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spelling 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
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