For the first time, researchers showed that therapeutic cloning or SCNT has been successfully used to treat disease in the same subjects from whom the initial cells were derived. While this current work is in animals, it could have future implications as this method may be an effective way to reduce transplant rejection and enhance recovery in other diseases and in other organ systems.
In therapeutic cloning or SCNT, the nucleus of a somatic cell from a donor subject is inserted into an egg from which the nucleus has been removed. This cell then develops into a blastocyst from which embryonic stem cells can be harvested and differentiated for therapeutic purposes. As the genetic information in the resulting stem cells comes from the donor subject, therapeutic cloning or SCNT would yield subject-specific cells that are spared by the immune system after transplantation.
The new study shows that therapeutic cloning can treat Parkinson’s disease in a mouse model. The scientists used skin cells from the tail of the animal to generate customized or autologous dopamine neurons—the missing neurons in Parkinson’s disease. The mice that received neurons derived from individually matched stem cell lines exhibited neurological improvement. But when these neurons were grafted into mice that did not genetically match the transplanted cells, the cells did not survive well and the mice did not recover.
Jeanne D'Agostino | EurekAlert!
The birth of a new protein
20.10.2017 | University of Arizona
Building New Moss Factories
20.10.2017 | Albert-Ludwigs-Universität Freiburg im Breisgau
University of Maryland researchers contribute to historic detection of gravitational waves and light created by event
On August 17, 2017, at 12:41:04 UTC, scientists made the first direct observation of a merger between two neutron stars--the dense, collapsed cores that remain...
Seven new papers describe the first-ever detection of light from a gravitational wave source. The event, caused by two neutron stars colliding and merging together, was dubbed GW170817 because it sent ripples through space-time that reached Earth on 2017 August 17. Around the world, hundreds of excited astronomers mobilized quickly and were able to observe the event using numerous telescopes, providing a wealth of new data.
Previous detections of gravitational waves have all involved the merger of two black holes, a feat that won the 2017 Nobel Prize in Physics earlier this month....
Material defects in end products can quickly result in failures in many areas of industry, and have a massive impact on the safe use of their products. This is why, in the field of quality assurance, intelligent, nondestructive sensor systems play a key role. They allow testing components and parts in a rapid and cost-efficient manner without destroying the actual product or changing its surface. Experts from the Fraunhofer IZFP in Saarbrücken will be presenting two exhibits at the Blechexpo in Stuttgart from 7–10 November 2017 that allow fast, reliable, and automated characterization of materials and detection of defects (Hall 5, Booth 5306).
When quality testing uses time-consuming destructive test methods, it can result in enormous costs due to damaging or destroying the products. And given that...
Using a new cooling technique MPQ scientists succeed at observing collisions in a dense beam of cold and slow dipolar molecules.
How do chemical reactions proceed at extremely low temperatures? The answer requires the investigation of molecular samples that are cold, dense, and slow at...
Scientists from the Max Planck Institute of Quantum Optics, using high precision laser spectroscopy of atomic hydrogen, confirm the surprisingly small value of the proton radius determined from muonic hydrogen.
It was one of the breakthroughs of the year 2010: Laser spectroscopy of muonic hydrogen resulted in a value for the proton charge radius that was significantly...
17.10.2017 | Event News
10.10.2017 | Event News
10.10.2017 | Event News
20.10.2017 | Information Technology
20.10.2017 | Materials Sciences
20.10.2017 | Interdisciplinary Research