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SCIENTISTS GROW HUMAN NEOCORTEX USING CHEAP 3D PRINTED BIOREACTOR

Views:1422     Author:ifun     Publish Time: 2021-04-13      Origin:Site

SCIENTISTS GROW HUMAN NEOCORTEX USING CHEAP 3D PRINTED BIOREACTOR


Massachusetts Institute of Technology (MIT) and the Indian Institute of Technology Madras have developed a novel 3D printed microfluidic bioreactor that’s capable of growing self-organizing human brain tissue. 

Using SLA 3D printing and an everyday dental resin, the researchers were able to create live neural cell-culturing organ-on-a-chip devices, and a bioreactor for growing them within in-vitro conditions. At a cost of just $5, the team’s setup could serve as a less expensive alternative to commercial culture dishes, when it comes to drug testing and developing treatments for illnesses like dementia or autism. 

“Our design costs are significantly lower than traditional petri dish or spin-bioreactor-based organoid culture products,” explained study author Ikram Khan. “In addition, the chip can be washed with distilled water, dried, and autoclaved and is, therefore, reusable.”

Images showing the difference between ordinary cultured cells and those incubated using the team's 3D printed bioreactor.


Neural cells grown using the team’s 3D printed bioreactor (left) showed enhanced proliferation compared to those cultured in dishes (right). Image via the Biomicrofluidics journal.

Optimizing brain cell monitoring

By culturing pluripotent stem cells within an in-vitro environment, it’s possible to grow them into miniaturized organs, or ‘organoids,’ such as kidneys, hearts or indeed brains. Such organoids can be useful drug screening tools for clinicians, but they need to be grown within incubated conditions, and monitoring them closely can disrupt their development. 

Organoids also require a steady stream of nutrition to survive, but as they get bigger over time their cores tend to become cut-off and malnourished, damaging their cell viability. By contrast, lab-on-a-chip devices are increasingly enabling scientists to culture smaller cellular volumes, with a higher degree of freedom and at a more accessible price point. 

While these microfluidic systems have traditionally been created via soft lithography, the multi-step technique remains limited when it comes to design flexibility. To combat this, the U.S-Indian researchers have therefore adopted 3D printing to produce a bioreactor that not only streamlines production, but enables close, non-invasive cellular control. 

A schematic of the scientists' 3D printed bioreactor.


The scientists used a 3D printed bioreactor (pictured) to culture stem cells into a human neocortex. Image via the Biomicrofluidics journal.

Growing a human neocortex 

Within their experimental setup, the scientists used a Ifun 3D printer and biocompatible resin to produce microfluidic chips with built-in ‘imaging wells,’ that enabled them to culture organoids long-term. Once seeded with matrigel-embedded neural cells, the devices were covered with a transparent glass disk and heated in a custom-built bioreactor, which allowed the team to closely monitor their organoids’ progress.

Each well featured a thermistor port, meaning that drugs could be delivered in-vitro via cannula in a hermetically-sealed process. According to Khan, the team’s novel setup allowed “constant perfusion of the culture chamber which more closely mimics a physiological tissue,” keeping the organoid’s core nourished and ultimately reducing cell death. 

During testing, the scientists were even able to culture their stem cells into a ventricle that resembled a neocortex, the cerebral tissue responsible for higher brain functions. Although the team only monitored their organoid’s progress for 7 days, they witnessed no dip in cell viability, and believe that they could be grown for extended periods in future. 

For now, the researchers are working to make their chips more efficient via the addition of valves and pumps, but in the longer term they see their devices being applied within industrial drug testing settings, providing users with a cost-effective means of modelling the interaction between pathogens and the human brain. 


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