The<i>Drosophila</i>tracheal terminal cell as a model for branching morphogenesis

The terminal cells of the <i>Drosophila</i> larval tracheal system are perhaps the simplest delivery networks, providing an analogue for mammalian vascular growth and function in a system with many fewer components. These cells are a prime example of single-cell morphogenesis, branching significantly over time to adapt to the needs of the growing tissue they supply. While the genetic mechanisms governing local branching decisions have been studied extensively, an understanding of the emergence of a global network architecture is still lacking. Mapping out the full network architecture of populations of terminal cells at different developmental times of <i>Drosophila</i> larvae, we find that cell growth follows scaling laws relating the total edge length, supply area, and branch density. Using time-lapse imaging of individual terminal cells, we identify that the cells grow in three ways: by extending branches, by the side budding of new branches, and by internally growing existing branches. A generative model based on these modes of growth recapitulates statistical properties of the terminal cell network data. These results suggest that the scaling laws arise from the coupled contributions of branching and internal growth. This study establishes the terminal cell as a uniquely tractable model system for further studies of transportation and distribution networks.

Authors

Institutions

Publication Details

Journal
Proceedings of the National Academy of Sciences
Published
2024-10-02
DOI
https://doi.org/10.1073/pnas.2404462121
Citations
10
Primary Topic
Neurobiology and Insect Physiology Research
Type
article
Field-Weighted Citation Impact
2.68

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TheDrosophilatracheal terminal cell as a model for branching morphogenesis

Alison G. Simpkins, Stanislav Y. Shvartsman, Jodi Schottenfeld-Roames, Lena A. Barrett et al.
10 citations
Proceedings of the National Academy of Sciences
Neurobiology and Insect Physiology Research
2.68
article

TheDrosophilatracheal terminal cell as a model for branching morphogenesis

Alison G. Simpkins, Stanislav Y. Shvartsman, Jodi Schottenfeld-Roames, Lena A. Barrett, Pauline Hansen, Tatyana Gavrilchenko, T R Simpson
article en
10 citations

Abstract

The terminal cells of the <i>Drosophila</i> larval tracheal system are perhaps the simplest delivery networks, providing an analogue for mammalian vascular growth and function in a system with many fewer components. These cells are a prime example of single-cell morphogenesis, branching significantly over time to adapt to the needs of the growing tissue they supply. While the genetic mechanisms governing local branching decisions have been studied extensively, an understanding of the emergence of a global network architecture is still lacking. Mapping out the full network architecture of populations of terminal cells at different developmental times of <i>Drosophila</i> larvae, we find that cell growth follows scaling laws relating the total edge length, supply area, and branch density. Using time-lapse imaging of individual terminal cells, we identify that the cells grow in three ways: by extending branches, by the side budding of new branches, and by internally growing existing branches. A generative model based on these modes of growth recapitulates statistical properties of the terminal cell network data. These results suggest that the scaling laws arise from the coupled contributions of branching and internal growth. This study establishes the terminal cell as a uniquely tractable model system for further studies of transportation and distribution networks.

Proceedings of the National Academy of SciencesVol. 121(41)
Princeton University (US), Simons Foundation (US), McKinsey & Company (United States) (US)
Simons Foundation
Openalex Percentile: Top 10%
Neurobiology and Insect Physiology Research
2.68
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.