2015
DOI: 10.1242/dev.128918
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Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos

Abstract: Analysis of differential gene expression is crucial for the study of cell fate and behavior during embryonic development. However, automated methods for the sensitive detection and quantification of RNAs at cellular resolution in embryos are lacking. With the advent of single-molecule fluorescence in situ hybridization (smFISH), gene expression can be analyzed at single-molecule resolution. However, the limited availability of protocols for smFISH in embryos and the lack of efficient image analysis pipelines h… Show more

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Cited by 36 publications
(35 citation statements)
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“…S3C). These values are in good agreement with what has been previously observed using chemically synthesized smFISH probes Oka and Sato 2015;Stapel et al 2016). On the other hand, only 27% of nos18×-Atto633 positive objects showed detectable osk17×-Atto565 fluorescence, and there was no linear relation between the signal intensities of these two probes (R 2 = 0.006).…”
Section: Resultssupporting
confidence: 91%
“…S3C). These values are in good agreement with what has been previously observed using chemically synthesized smFISH probes Oka and Sato 2015;Stapel et al 2016). On the other hand, only 27% of nos18×-Atto633 positive objects showed detectable osk17×-Atto565 fluorescence, and there was no linear relation between the signal intensities of these two probes (R 2 = 0.006).…”
Section: Resultssupporting
confidence: 91%
“…2D). While the autofluorescence in zebrafish embryos is low enough that unamplified smFISH remains viable (Oka and Sato, 2015; Stapel et al, 2016; ), automated signal detection is facilitated by the greater signal to background ratio of smHCR.
Fig.
…”
Section: Resultsmentioning
confidence: 99%
“…Spatial information can be obtained by sequencing embryo sections (Combs and Eisen, 2013;Junker et al, 2014) or single-cell sequencing of dissociated cells (Briggs et al, 2018;Farrell et al, 2018), which can be mapped back onto the embryo based on markers with a known expression pattern. Alternatively, transcripts can be visualized either in fixed or live embryos (Campbell et al, 2015;Perez-Romero et al, 2018;Stapel et al, 2018;Stapel et al, 2016). Although low throughput, this provides the best spatial information and can be quantitative when single transcripts can be detected (Stapel et al, 2016).…”
Section: Box 3 Temporal and Spatial Analysis Of The Mztmentioning
confidence: 99%