Tools to reverse-engineer multicellular systems: case studies using the fruit fly

被引:0
|
作者
Qinfeng Wu
Nilay Kumar
Vijay Velagala
Jeremiah J. Zartman
机构
[1] University of Notre Dame,Department of Chemical and Biomolecular Engineering
来源
Journal of Biological Engineering | / 13卷
关键词
Microfluidics; Image processing; Machine learning; Deep learning; Imaging;
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摘要
Reverse-engineering how complex multicellular systems develop and function is a grand challenge for systems bioengineers. This challenge has motivated the creation of a suite of bioengineering tools to develop increasingly quantitative descriptions of multicellular systems. Here, we survey a selection of these tools including microfluidic devices, imaging and computer vision techniques. We provide a selected overview of the emerging cross-talk between engineering methods and quantitative investigations within developmental biology. In particular, the review highlights selected recent examples from the Drosophila system, an excellent platform for understanding the interplay between genetics and biophysics. In sum, the integrative approaches that combine multiple advances in these fields are increasingly necessary to enable a deeper understanding of how to analyze both natural and synthetic multicellular systems.
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