Sign in
BioengineeringbioRxiv
Preprint

Conversion of iPS derived hepatic progenitors into scalable, functional and developmentally relevant human organoids using an inverted colloidal crystal poly (ethylene glycol) scaffold engineered from collagen-coated pores of defined size

Soon Seng Ng, Kourosh Saeb-Parsy, Joe M Segal, Maria Paola Serra, Samuel J I Blackford, Marta Horcas Lopez, Da Yoon No, Curtis W Frank, Nam Joon Cho, Hiromitsu Nakauchi, Jeffrey S Glenn, S Tamir Rashid

Abstract

Generation of human organoids from induced pluripotent stem cells (iPSCs) offers exciting possibilities for developmental biology, disease modelling and cell therapy. Significant advances towards those goals have been hampered by dependence on animal derived matrices (e.g. Matrigel), immortalized cell lines and resultant structures that are difficult to control or scale. To address these challenges, we aimed to develop a fully defined liver organoid platform using inverted colloid crystal (ICC) whose 3-dimensional mechanical properties could be engineered to recapitulate the extracellular niche sensed by hepatic progenitors during human development. iPSC derived hepatic progenitors (IH) formed organoids most optimally in ICC scaffolds constructed with 140 {micro}m diameter pores coated with Collagen in a two-step process mimicking liver bud formation. The resultant organoids were closer to adult tissue, compared to 2D and 3D controls, with respect to morphology, gene expression, protein secretion, drug metabolism and viral infection and could integrate, vascularize and function following implantation into livers of immune-deficient mice. Preliminary interrogation of the underpinning mechanisms highlighted the importance of TGF{beta} and hedgehog signalling pathways. The combination of functional relevance with tuneable mechanical properties leads us to propose this bioengineered platform to be ideally suited for a range of future mechanistic and clinical organoid related applications.

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGandhi '25Lekkala '24Ye '26Thelwall '26Harrison '20Tamargo-Rub '26
74% semantic matchBioengineering