@article{86506,
  keywords = {Drosophila development, data integration, Gene Regulatory Networks, image registration, transcriptomics},
  author = {Shannon Keenan and Maria Avdeeva and Liu Yang and Daniel Alber and Eric Wieschaus and Stanislav Shvartsman},
  title = {Dynamics of  endoderm specification.},
  abstract = {<p>During early Drosophila embryogenesis, a network of gene regulatory interactions orchestrates terminal patterning, playing a critical role in the subsequent formation of the gut. We utilized CRISPR gene editing at endogenous loci to create live reporters of transcription and light-sheet microscopy to monitor the individual components of the posterior gut patterning network across 90 min prior to gastrulation. We developed a computational approach for fusing imaging datasets of the individual components into a common multivariable trajectory. Data fusion revealed low intrinsic dimensionality of posterior patterning and cell fate specification in wild-type embryos. The simple structure that we uncovered allowed us to construct a model of interactions within the posterior patterning regulatory network and make testable predictions about its dynamics at the protein level. The presented data fusion strategy is a step toward establishing a unified framework that would explore how stochastic spatiotemporal signals give rise to highly reproducible morphogenetic outcomes.</p>},
  year = {2022},
  journal = {Proceedings of the National Academy of Sciences of the United States of America},
  volume = {119},
  pages = {e2112892119},
  month = {04/2022},
  issn = {1091-6490},
  doi = {10.1073/pnas.2112892119},
  language = {eng},
}