Single-cell transcriptional dynamics in a living vertebrate.
Elizabeth EckBruno MorettiBrandon H SchlomannJordão BragantiniMerlin LangeXiang ZhaoShruthi VijayKumarGuillaume ValentinCristina LoureiroDaniele SoroldoniLoïc Alain RoyerAndrew C OatesHernan G GarciaPublished in: bioRxiv : the preprint server for biology (2024)
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.
Keyphrases
- single cell
- transcription factor
- high throughput
- rna seq
- gene expression
- heat shock
- mass spectrometry
- high resolution
- multiple sclerosis
- single molecule
- induced apoptosis
- ms ms
- deep learning
- genome wide
- electronic health record
- working memory
- machine learning
- cell cycle arrest
- binding protein
- convolutional neural network
- cell proliferation
- oxidative stress
- signaling pathway
- artificial intelligence
- multidrug resistant
- label free
- gram negative
- high speed
- heat stress
- endoplasmic reticulum stress
- pi k akt