English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Significance Human-induced pluripotent stem cells (hiPSCs) offer an opportunity to study how the developing embryo twists, folds, and expands into a collection of highly self-organized tissues. Introducing varying degrees of confinement with surface micropatterning may drive self-organization into tissues that mirror the structure and complexity of the embryo in vitro. Using high-throughput image-processing and machine-learning algorithms, we studied the relationships between cytoskeletal tension, density, and micropattern geometry on the ability to predict pattern formation in early and late-stage hiPSC maturation toward vascular lineages. We find that the combination of these approaches unveils the importance of cell density and cytoskeletal tension in how hiPSCs sense their environment and differentiate to the mesodermal lineage toward vascular fates.

Cytoskeletal tension regulates mesodermal spatial organization and subsequent vascular fate