The researchers have engineered tiny channels within a water-based gel that mimic a vascular system at the cellular scale and can supply oxygen, essential nutrients and growth factors to feed individual cells. The so-called gel scaffold can hold tens of millions of living cells per milliliter in a 3-D arrangement, such as in the shape of a knee meniscus, to create a template for tissue to form.
In theory, the system could accommodate many kinds of tissue.
The research provides solutions to the physical engineering aspects of growing tissues synthetically. Still, many biological challenges remain, such as finding a source of cells that can be harvested from a patient and grown without changing the cell’s characteristics. Co-author Lawrence Bonassar, a Cornell associate professor of biomedical engineering who was instrumental in developing the gel for tissue growth and in determining the proper biological requirements for cell growth, is also among those trying to direct stem cells to produce desired tissue types. Currently, stem cell-derived cartilage has been made but is not functional.
As new tools develop, researchers hope to use these engineered tissues in non-clinical applications, such as replacements for animals in the testing of pharmaceuticals and chemicals. The technology, researchers believe, also offers the hope of growing implants from the patient’s own cells to replace damaged or diseased tissue.
Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.
Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.
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Wow that is truely amazing! So if I am to understand this interview soon we will have a ‘metacortex’ where we can access information and learn at an accelerated rate?