
Mouse brain cells live long and prosper
Mouse brain cells scamper close to eternal life: They can actually outlive their bodies. Mouse neurons transplanted into rat brains lived as long as the rats did, surviving twice as long as the mouse’s average life span, researchers report online February 25 in the Proceedings of the National Academy of Sciences.
The findings suggest that long lives might not mean deteriorating brains. “This could absolutely be true in other mammals — humans too,” says study author Lorenzo Magrassi, a neurosurgeon at the University of Pavia in Italy.
The findings are “very promising,” says Carmela Abraham, a neuroscientist at Boston University. “The question is: Can neurons live longer if we prolong our life span?” Magrassi’s experiment, she says, suggests the answer is yes.
One theory about aging, Magrassi says, is that every species has a genetically determined life span and that all the cells in the body wear out and die at roughly the same time. For the neurons his team studied, he says, “We have shown that this simple idea is certainly not true.”
Magrassi’s team surgically transplanted neurons from embryonic mice with an average life span of 18 months into rats. To do so, the researchers slipped a glass microneedle through the abdomens of anesthetized pregnant mice. Then, using a dissecting microscope and a tool to illuminate the corn-kernel-sized mouse embryos, the researchers scraped out tiny bits of brain tissue and injected the neurons into fetal rat brains. After the rat pups were born, Magrassi and colleagues waited as long as three years, until the animals were near death, to euthanize the rats and dissect their brains.
The transplanted mouse cells had linked up with the rat brain cells and developed into mature, working neurons, though they did retain their characteristic small size. Also, because Magrassi’s team had tagged the mouse cells to glow green, the researchers could distinguish between mouse and rat neurons. The mouse cells lived twice as long as they would have in a mouse brain, and they showed signs of aging similar to those of neighboring rat neurons.
Figuring out what’s helping the neurons survive could lead researchers to treatments for human neurodegenerative diseases, such as Parkinson’s and Alzheimer’s, Magrassi says.





![Blueprint for an artificial brain
Scientists have long been dreaming about building a computer that would work like a brain. This is because a brain is far more energy-saving than a computer, it can learn by itself, and it doesn’t need any programming. Privatdozent [senior lecturer] Dr. Andy Thomas from Bielefeld University’s Faculty of Physics is experimenting with memristors – electronic microcomponents that imitate natural nerves. Thomas and his colleagues proved that they could do this a year ago. They constructed a memristor that is capable of learning. Andy Thomas is now using his memristors as key components in a blueprint for an artificial brain. He will be presenting his results at the beginning of March in the print edition of the prestigious Journal of Physics published by the Institute of Physics in London.
Memristors are made of fine nanolayers and can be used to connect electric circuits. For several years now, the memristor has been considered to be the electronic equivalent of the synapse. Synapses are, so to speak, the bridges across which nerve cells (neurons) contact each other. Their connections increase in strength the more often they are used. Usually, one nerve cell is connected to other nerve cells across thousands of synapses.
Like synapses, memristors learn from earlier impulses. In their case, these are electrical impulses that (as yet) do not come from nerve cells but from the electric circuits to which they are connected. The amount of current a memristor allows to pass depends on how strong the current was that flowed through it in the past and how long it was exposed to it.
Andy Thomas explains that because of their similarity to synapses, memristors are particularly suitable for building an artificial brain – a new generation of computers. ‘They allow us to construct extremely energy-efficient and robust processors that are able to learn by themselves.’ Based on his own experiments and research findings from biology and physics, his article is the first to summarize which principles taken from nature need to be transferred to technological systems if such a neuromorphic (nerve like) computer is to function. Such principles are that memristors, just like synapses, have to ‘note’ earlier impulses, and that neurons react to an impulse only when it passes a certain threshold.
Thanks to these properties, synapses can be used to reconstruct the brain process responsible for learning, says Andy Thomas.](http://41.media.tumblr.com/e2adc95cf42043f4832a8ddade610bc0/tumblr_miuj65XS121rog5d1o1_500.jpg)

