Using single-molecule fluorescence in situ hybridization and immunohistochemistry to count RNA molecules in single cells in zebrafish embryos.

Using single-molecule fluorescence in situ hybridization and immunohistochemistry to count RNA molecules in single cells in zebrafish embryos.
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DOI:
10.1016/j.xpro.2022.102020
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发表时间:
2023-03-17
期刊:
影响因子:
--
通讯作者:
Ozbudak, Ertugrul M.
Ozbudak, Ertugrul M.
中科院分区:
其他
文献类型:
--
作者:
Keseroglu, Kemal;Zinani, Oriana Q. H.;Ozbudak, Ertugrul M.

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Taming gene expression variability is critical for robust pattern formation during embryonic development. Here, we describe an optimized protocol for single-molecule fluorescence in situ hybridization and immunohistochemistry in zebrafish embryos. We detail how to count segmentation clock RNAs and calculate their variability among neighboring cells. This approach is easily adaptable to count RNA numbers of any gene and calculate transcriptional variability among neighboring cells in diverse biological settings. For complete details on the use and execution of this protocol, please refer to Keskin et al. (2018), Zinani et al. (2021), and Zinani et al. (2022). Optimized protocol for smFISH combined with immunohistochemistry in zebrafish embryos Sample preparation for confocal imaging of single transcripts Quantifying RNA molecules in single cells in a given tissue Quantifying transcriptional variability among neighboring cells Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics. Taming gene expression variability is critical for robust pattern formation during embryonic development. Here, we describe an optimized protocol for single-molecule fluorescence in situ hybridization and immunohistochemistry in zebrafish embryos. We detail how to count segmentation clock RNAs and calculate their variability among neighboring cells. This approach is easily adaptable to count RNA numbers of any gene and calculate transcriptional variability among neighboring cells in diverse biological settings.
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