Estimating RNA numbers in single cells by RNA fluorescent tagging and flow cytometry.
J Microbiol Methods
; 166: 105745, 2019 11.
Article
em En
| MEDLINE
| ID: mdl-31654657
ABSTRACT
Estimating the statistics of single-cell RNA numbers has become a key source of information on gene expression dynamics. One of the most informative methods of in vivo single-RNA detection is MS2d-GFP tagging. So far, it requires microscopy and laborious semi-manual image analysis, which hampers the amount of collectable data. To overcome this limitation, we present a new methodology for quantifying the mean, standard deviation, and skewness of single-cell distributions of RNA numbers, from flow cytometry data on cells expressing RNA tagged with MS2d-GFP. The quantification method, based on scaling flow-cytometry data from microscopy single-cell data on integer-valued RNA numbers, is shown to readily produce precise, big data on in vivo single-cell distributions of RNA numbers and, thus, can assist in studies of transcription dynamics.
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Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
3_ND
Base de dados:
MEDLINE
Assunto principal:
RNA Bacteriano
/
Escherichia coli
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Análise de Célula Única
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Citometria de Fluxo
Idioma:
En
Revista:
J Microbiol Methods
Ano de publicação:
2019
Tipo de documento:
Article