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Single-cell transcriptional dynamics in a living vertebrate.
Eck, Elizabeth; Moretti, Bruno; Schlomann, Brandon H; Bragantini, Jordão; Lange, Merlin; Zhao, Xiang; VijayKumar, Shruthi; Valentin, Guillaume; Loureiro, Cristina; Soroldoni, Daniele; Royer, Loïc A; Oates, Andrew C; Garcia, Hernan G.
Afiliação
  • Eck E; Biophysics Graduate Group, University of California at Berkeley, Berkeley, USA.
  • Moretti B; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
  • Schlomann BH; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • Bragantini J; Department of Molecular and Cell Biology, University of California, Berkeley, CA, USA.
  • Lange M; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • Zhao X; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • VijayKumar S; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • Valentin G; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • Loureiro C; Institute of Bioengineering, EPFL; Lausanne, CH.
  • Soroldoni D; Institute of Bioengineering, EPFL; Lausanne, CH.
  • Royer LA; Institute of Bioengineering, EPFL; Lausanne, CH.
  • Oates AC; Chan Zuckerberg Biohub - San Francisco, San Francisco, CA, USA.
  • Garcia HG; Institute of Bioengineering, EPFL; Lausanne, CH.
bioRxiv ; 2024 Jan 04.
Article em En | MEDLINE | ID: mdl-38260569
ABSTRACT
The ability to quantify transcriptional dynamics in individual cells via live imaging has revolutionized our understanding of gene regulation. However, such measurements are lacking in the context of vertebrate embryos. We addressed this deficit by applying MS2-MCP mRNA labeling to the quantification of transcription in zebrafish, a model vertebrate. We developed a platform of transgenic organisms, light sheet fluorescence microscopy, and optimized image analysis that enables visualization and quantification of MS2 reporters. We used these tools to obtain the first single-cell, real-time measurements of transcriptional dynamics of the segmentation clock. Our measurements challenge the traditional view of smooth clock oscillations and instead suggest a model of discrete transcriptional bursts that are organized in space and time. Together, these results highlight how measuring single-cell transcriptional activity can reveal unexpected features of gene regulation and how this data can fuel the dialogue between theory and experiment.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: BioRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos