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  Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos.

Stapel, L. C., Lombardot, B., Broaddus, C., Kainmueller, D., Jug, F., Myers, E. W., et al. (2016). Automated detection and quantification of single RNAs at cellular resolution in zebrafish embryos. Development (Cambridge, England), 143(3), 540-546.

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Stapel, L Carine1, Autor           
Lombardot, Benoit2, Autor
Broaddus, Coleman1, Autor           
Kainmueller, Dagmar2, Autor
Jug, Florian1, Autor           
Myers, Eugene W1, Autor           
Vastenhouw, Nadine1, Autor           
Affiliations:
1Max Planck Institute of Molecular Cell Biology and Genetics, Max Planck Society, ou_2340692              
2Max Planck Society, ou_persistent13              

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 Zusammenfassung: 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 have hampered quantification at the (sub)cellular level in complex samples such as tissues and embryos. Here, we present a protocol for smFISH on zebrafish embryo sections in combination with an image analysis pipeline for automated transcript detection and cell segmentation. We use this strategy to quantify gene expression differences between different cell types and identify differences in subcellular transcript localization between genes. The combination of our smFISH protocol and custom-made, freely available, analysis pipeline will enable researchers to fully exploit the benefits of quantitative transcript analysis at cellular and subcellular resolution in tissues and embryos.

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 Datum: 2016
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
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 Identifikatoren: eDoc: 732472
Anderer: 6424
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Titel: Development (Cambridge, England)
Genre der Quelle: Zeitschrift
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Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 143 (3) Artikelnummer: - Start- / Endseite: 540 - 546 Identifikator: -