Open AccessDynamics of Drosophila endoderm specification
Author(s) -
Shan E. Keenan,
Maria Avdeeva,
Yang Liu,
Daniel S Alber,
Eric Wieschaus,
Stanislav Y. Shvartsman
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2112892119
Subject(s) - endoderm , biology , gene regulatory network , gastrulation , computational biology , live cell imaging , cell fate determination , genetics , gene , transcription factor , embryonic stem cell , gene expression , cell
Significance To understand developmental patterning of an organism, it is necessary to accurately measure how the state of a gene regulatory network is changing over time. One way of extracting dynamics of a network involves simultaneously imaging several reporters within fixed tissue. Reconstructing dynamics from such data requires staging many samples over time and often leads to low temporal resolution. Time-lapse microscopy of fluorescent transcriptional reporters has revolutionized studies of biological dynamics at the single-cell level. However, this method is limited by the number of reporters that can be imaged at one time. We present a computational method for addressing this problem and demonstrate its application by modeling the gene regulatory network underlyingDrosophila posterior patterning and reconstructing its developmental dynamics.