SUTD scientists use 3D printing to create heart cells from stem cells

All humans start out from a single cell which then divides to eventually form the embryo. Depending on the signals sent by their adjacent cells, these divided cells are then developed or differentiated into specific tissues or organs.

In regenerative medicine, controlling that differentiation in the lab is crucial as stem cells could be differentiated to allow for the growing of organs in vitro and replace damaged adult cells, particularly those with very limited abilities to replicate, such as the brain or heart.

One common approach scientists adopt when differentiating stem cells is by using chemical stimulators. While this method is very efficient to make one single type of cells, it lacks the ability to reproduce the complexity of living organisms, where several cell types coexist and collaborate to form an organ.

Alternatively, inspired by the natural process of cell development, another method involves the packing of stem cells into small cellular aggregates, or spheres called embryoid bodies. Similar to real embryos, the cell-cell interaction in embryoid bodies is the main driver of differentiation. From the production of these embryoid bodies, it was found that parameters such as cell numbers, size, and sphericity of the embryoid body influenced the types of cells that are produced.

However, since scientists have not been able to control those parameters, they have had to laboriously produce large numbers of embryoid bodies and select specific ones with suitable characteristics to be studied.

To address this challenge, researchers from the Singapore University of Technology and Design (SUTD) turned to additive manufacturing to control stem cell differentiation in embryoid bodies. Their research study was published in Bioprinting.

Adopting a multidisciplinary approach by combining the research domains of 3D manufacturing and life sciences, PhD student Rupambika Das and Assistant Professor Javier G. Fernandez 3D printed several micro-scaled physical devices with finely tuned geometries. They used the devices to demonstrate unprecedented precision in the directed differentiation of stem cells through the formation of embryoid bodies (refer to image). In their study, they successfully regulated the parameters for enhancing the production of cardiomyocytes, cells which are found in the heart.

"The field of additive manufacturing is evolving at an unrivaled pace. We are seeing levels of precision, speed and cost that were inconceivable just a few years ago. What we have demonstrated is that 3D printing has now reached the point of geometrical accuracy where it is able to control the outcome of stem cell differentiation. And in doing so, we are propelling regenerative medicine to further advance alongside the accelerated rate of the additive manufacturing industry," said principal investigator Assistant Professor Javier G. Fernandez from SUTD.

The use of 3D printing in biology has been strongly focused on the printing of artificial tissues using cell laden cells, to build artificial organs 'piece by piece'. Now, we have demonstrated that 3D printing has the potential for it to be used in a bio-inspired approach in which we can control cells to grow in a lab just as they grow in vivo."

Rupambika Das, PhD student from SUTD, first author

Source:
Journal reference:

Das, R & Fernandez, J.V (2020) Additive manufacturing enables production of de novo cardiomyocytes by controlling embryoid body aggregation. Bioprinting. doi.org/10.1016/j.bprint.2020.e00091.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
Obesity-related heart disease deaths rise sharply in the U.S. between 1999 and 2020