Back

Morphometric analysis reveals that the chick cranial neural tube expands as an active shell.

Chahare, N.; Imamura, C.; Nerurkar, N.

2026-05-20 biophysics
10.64898/2026.05.18.726048 bioRxiv
Show abstract

Embryonically, the vertebrate brain begins as an approximately uniform, fluid-filled epithelial tube that undergoes rapid volumetric expansion and regionalization to form the morphologically distinct primary brain vesicles. Hydrostatic pressure from fluid secretion into the inner lumen generates tension in the neural tube that has been implicated as a potential driver of cell proliferation during these early stages of brain development. However, a quantitatively rigorous view of 3D morphology and cellular proliferation has remained elusive. Here, we provide a standardized mapping for the mechanical and biological landscape of the developing neuroepithelium along anatomical axes. Using this 3D morphometric framework in chicken embryos, we show that localized curvature characterizes compartmental boundaries. While rapid inflation would typically be expected to stretch and thin the epithelium, we find the opposite: global expansion is coupled with significant tissue thickening, identifying the early brain as an active shell. Moreover, spatial patterns of thickness remain invariant to local curvature. Our results demonstrate a decoupling of geometry and growth, showing that spatially stable distributions of tissue thickness and mitotic activity are maintained throughout massive volumetric expansion, independent of the dramatic geometric reorganization driven by luminal pressure. We conclude that, while tension in the neuroepithelium may contribute to proliferative growth at some level, biological pre-pattern likely plays a driving role in the regionalized expansion of the early embryonic brain. Why it mattersThe embryonic brain begins as a simple fluid-filled tube that undergoes rapid and heterogeneous expansion to set up the basic organizational plan of the adult brain. Errors in this process are linked to severe neurological and congenital disorders. This work investigates the biophysical basis of expansion and regionalization of the early brain, a complex three-dimensional process driven by inflation from internal fluid pressure together with active cell behaviors that ultimately produce regionally distinct growth and curvature profiles amid a complex mechanical landscape. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/726048v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@17c442forg.highwire.dtl.DTLVardef@1609374org.highwire.dtl.DTLVardef@170c00corg.highwire.dtl.DTLVardef@15080ad_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
iScience
1063 papers in training set
Top 0.1%
14.2%
2
Biophysical Journal
545 papers in training set
Top 0.5%
10.0%
3
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 6%
10.0%
4
eLife
5422 papers in training set
Top 10%
7.1%
5
Nature Communications
4913 papers in training set
Top 33%
4.8%
6
PLOS Computational Biology
1633 papers in training set
Top 9%
3.9%
50% of probability mass above
7
Scientific Reports
3102 papers in training set
Top 37%
3.6%
8
Advanced Science
249 papers in training set
Top 7%
3.0%
9
Cell Reports
1338 papers in training set
Top 18%
2.7%
10
Development
440 papers in training set
Top 1%
2.6%
11
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 3%
2.3%
12
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.3%
13
PLOS Biology
408 papers in training set
Top 9%
1.8%
14
Physical Review Research
46 papers in training set
Top 0.3%
1.7%
15
PRX Life
34 papers in training set
Top 0.4%
1.6%
16
Developmental Cell
168 papers in training set
Top 9%
1.6%
17
PNAS Nexus
147 papers in training set
Top 0.4%
1.5%
18
PLOS ONE
4510 papers in training set
Top 56%
1.5%
19
Science Advances
1098 papers in training set
Top 22%
1.3%
20
Current Biology
596 papers in training set
Top 11%
1.2%
21
Molecular Biology of the Cell
272 papers in training set
Top 2%
0.9%
22
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.7%
0.9%
23
Soft Matter
50 papers in training set
Top 0.4%
0.8%
24
Nature Physics
39 papers in training set
Top 1%
0.7%
25
Physical Review Letters
43 papers in training set
Top 0.7%
0.7%
26
Computational and Structural Biotechnology Journal
216 papers in training set
Top 10%
0.7%
27
BMC Biology
248 papers in training set
Top 6%
0.6%
28
Royal Society Open Science
193 papers in training set
Top 6%
0.6%