Deconstructing gastrulation at single-cell resolution.

TitleDeconstructing gastrulation at single-cell resolution.
Publication TypeJournal Article
Year of Publication2022
AuthorsStern, T, Shvartsman, SY, Wieschaus, EF
JournalCurr Biol
Volume32
Issue8
Pagination1861-1868.e7
Date Published2022 Apr 25
ISSN1879-0445
KeywordsAnimals, Cell Shape, Drosophila, Embryo, Mammalian, Gastrulation, Morphogenesis
Abstract

<p>Gastrulation movements in all animal embryos start with regulated deformations of patterned epithelial sheets, which are driven by cell divisions, cell shape changes, and cell intercalations. Each of these behaviors has been associated with distinct aspects of gastrulation and has been a subject of intense research using genetic, cell biological, and more recently, biophysical approaches. Most of these studies, however, focus either on cellular processes driving gastrulation or on large-scale tissue deformations. Recent advances in microscopy and image processing create a unique opportunity for integrating these complementary viewpoints. Here, we take a step toward bridging these complementary strategies and deconstruct the early stages of gastrulation in the entire Drosophila embryo. Our approach relies on an integrated computational framework for cell segmentation and tracking and on efficient algorithms for event detection. The detected events are then mapped back onto the blastoderm shell, providing an intuitive visual means to examine complex cellular activity patterns within the context of their initial anatomic domains. By analyzing these maps, we identified that the loss of nearly half of surface cells to invaginations is compensated primarily by transient mitotic rounding. In addition, by analyzing mapped cell intercalation events, we derived direct quantitative relations between intercalation frequency and the rate of axis elongation. This work is setting the stage for systems-level dissection of a pivotal step in animal development.</p>

DOI10.1016/j.cub.2022.02.059
Alternate JournalCurr Biol
PubMed ID35290798
PubMed Central IDPMC9221752
Grant ListR01 GM134204 / GM / NIGMS NIH HHS / United States