Embedded 3D Printing in Self-Healing Annealable Composites for Precise Patterning of Functionally Mature Human Neural Constructs

Janko Kajtez, Milan Finn Wesseler, Marcella Birtele, Farinaz Riyahi Khorasgani, Daniella Rylander Ottosson, Arto Heiskanen, Tom Kamperman, Jeroen Leijten, Alberto Martínez-Serrano, Niels B Larsen, Thomas E Angelini, Malin Parmar, Johan U Lind, Jenny Emnéus

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

Sammanfattning

Human in vitro models of neural tissue with tunable microenvironment and defined spatial arrangement are needed to facilitate studies of brain development and disease. Towards this end, embedded printing inside granular gels holds great promise as it allows precise patterning of extremely soft tissue constructs. However, granular printing support formulations are restricted to only a handful of materials. Therefore, there has been a need for novel materials that take advantage of versatile biomimicry of bulk hydrogels while providing high-fidelity support for embedded printing akin to granular gels. To address this need, Authors present a modular platform for bioengineering of neuronal networks via direct embedded 3D printing of human stem cells inside Self-Healing Annealable Particle-Extracellular matrix (SHAPE) composites. SHAPE composites consist of soft microgels immersed in viscous extracellular-matrix solution to enable precise and programmable patterning of human stem cells and consequent generation mature subtype-specific neurons that extend projections into the volume of the annealed support. The developed approach further allows multi-ink deposition, live spatial and temporal monitoring of oxygen levels, as well as creation of vascular-like channels. Due to its modularity and versatility, SHAPE biomanufacturing toolbox has potential to be used in applications beyond functional modeling of mechanically sensitive neural constructs.

Originalspråkengelska
Artikelnummer2201392
TidskriftAdvanced science (Weinheim, Baden-Wurttemberg, Germany)
Volym9
Nummer25
Tidigt onlinedatum2022 juni 16
DOI
StatusPublished - 2022

Bibliografisk information

© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.

Ämnesklassifikation (UKÄ)

  • Neurovetenskaper
  • Annan teknik

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