Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Spatial engineering of posterior organizers in cerebral organoids via controlled morphogen exposure within hydrogels

Created on 06 Jun 2026

Authors

Jeong, H., Ozaki, H., Tsai, Y.-C., Nie, C., Shiraiwa, K., Miller, D., Noh, M. J. M., Dalal, J. K., Salem, A. G., Vu, C. H., Foust, S. R., Mohraz, A., Watanabe, M., Ardona, H. A. M.

Abstract

Cerebral cortex organoids are powerful in vitro models that recapitulate key features of human development. However, conventional methods produce cortical organoids with spontaneous, spatially disorganized cortical regions due to limited control over morphogen distribution within local environments. Here, we present a spatially engineered hydrogel platform that drives localized posterior organizer formation in cortical organoids through controlled, localized exposure to morphogens. Using a combination of bulk photopolymerization, thermal crosslinking, and digital light processing (DLP) approaches, we fabricated hydrogels with stiffness-controlled layers that preferentially deliver morphogens to one side of the organoid, selectively inducing posterior organizer formation on the exposed face. We further validated this platform by delivering fluorescently tagged dextran, used as molecular weight-matched model morphogens, to visualize spatiotemporal delivery dynamics at the organoid interface. As a proof of principle, we also demonstrated that DLP fabrication enables the printing of dual morphogen hubs, serving as a model for establishing two opposing gradients within a single organoid. Together, this hydrogel platform enables systematic spatial patterning of cell populations in organoids, more faithfully recapitulating the spatial organization and cellular diversity of native tissues and advancing higher-fidelity models for studying human development and disease.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 06 Jun 2026.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this preprint? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 16
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement