Abstract
SignificanceTo 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 underlying Drosophila posterior patterning and reconstructing its developmental dynamics.
Original language | English (US) |
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Pages (from-to) | e2112892119 |
Journal | Proceedings of the National Academy of Sciences of the United States of America |
Volume | 119 |
Issue number | 15 |
DOIs | |
State | Published - Apr 12 2022 |
All Science Journal Classification (ASJC) codes
- General
Keywords
- data integration
- Drosophila development
- gene regulatory networks
- image registration
- transcriptomics